1. Introduction
The synthetic immunoactive copolymer glatiramer acetate (GA; formula C25H45N5O13), branded Copaxone (also known as Copolymer-1 or Cop-1), is comprised of four amino acids in random order, resembling myelin basic protein (MBP) [1]. MBP is highly expressed during central nervous system (CNS) damage, specifically in autoimmune and/or inflammatory states such as multiple sclerosis (MS) or central degeneration [2]. GA was first synthesized in 1967 to induce experimental autoimmune encephalitis (EAE) in murine models of relapsing remitting multiple sclerosis (RRMS) [3]. Unexpectedly, GA was found to reduce signs and progression of EAE in these models [1,3]. Rather than inducing an autoimmune disease, GA was found to serve as a weak agonist to myelin-derived proteins and induce regulatory and protective neuroimmune responses [4,5]. Thus, GA was translated to clinical trials and was approved for use as an RRMS treatment in 1996 [6].
Multiple sclerosis (MS) is an inflammatory, demyelinating disease of the CNS with a prevalence of >1% in North America and Europe, and 0.002% in Eastern Asia and sub-Saharan Africa [7]. RRMS, a subtype of MS, accounts for around 85% of MS cases worldwide [7]. It is characterized by asymptomatic periods followed by a relapse or reoccurrence of symptoms [8].
Current treatments for RRMS include Interferon-β (IFN-β), S1P inhibitors such as fingolimod, monoclonal antibodies such as natalizumab, and anti-CD20 therapies (rituximab, ocrelizumab, ofatumumab) [5]. IFN-β is an immunomodulatory drug, and fingolimod also acts on the immune system by inhibiting peripheral lymphocytic egress [5]. Although IFN-β is immunomodulatory and a first-line RRMS therapy option, like GA, it has not been shown to enter the brain parenchyma or spinal cord and have a direct effect in the CNS. Instead, it is believed to express an indirect immunomodulatory effect in the CNS [9]. Natalizumab, a second-line agent, is a recombinant IgG4 monoclonal antibody which blocks the α4 subunit of integrin on leukocytes, preventing leukocytes from entering the CNS [5]. Fingolimod and Natalizumab are newer drugs often used as second-line agents to treat RRMS due to their extensive side-effect profiles. Despite this broad range of therapy options, both novel and established, GA remains a first-line immunomodulation therapy option for RRMS due to its effectiveness and generally low side-effect profile [7].
However, recent studies are beginning to examine the full scope of GA’s immunomodulatory effects as well as its potential to ameliorate various aspects of RRMS and other neurological diseases. Most notably, studies are exploring the potential for GA to protect from cognitive decline. This paper aims to provide a comprehensive review of studies investigating novel applications and uses of GA in various neuroinflammatory and neurodegenerative processes, including age-related macular degeneration (AMD), Alzheimer’s disease (AD), cerebral ischemia, amyotrophic lateral sclerosis (ALS), neuropsychological conditions, glaucoma, Parkinson’s disease (PD), and Huntington’s disease (HD), and its potential impact on cognition.
1.1. Mechanism of Action
Although GA remains an established agent for treating RRMS and its disease course [6], its exact mechanism of action is not fully understood. However, to have a clear understanding of its known and hypothesized roles in RRMS, it is important to understand the pathophysiology of the disease. Multiple sclerosis is an autoimmune disease in which CD4+ autoreactive T cells target myelin and mount an inflammatory response in central neurons causing demyelination which leads to neurological deficits [9]. Various immune cell lines and inflammatory mediators are implicated in the pathophysiology of the disease. These include multiple derivatives of T cells, B cells, antibodies/autoantibodies, monocytes, macrophages, cytokines, and resident CNS immune cells such as microglia [10].
The impact of GA on CNS tissues as well as on peripheral immune cells is under investigation, with new properties of this agent being discovered. It has been extensively shown that one principal mechanism of action of GA is on the adaptive immune response [11]. Specifically, as GA resembles MBP, it has been found to competitively and antagonistically binds to major histocompatibility (MHC) II complexes, thereby blocking and/or displacing myelin antigens from presenting to T cells [12,13]. GA further exerts its effects by altering the differentiation of T cells—preferentially stimulating T-helper 2 (Th2) over T-helper1 (Th1) cells [14]. Th1 cells are critical for effective immune responses against acute infection, injury, and tissue damage, and are responsible for inducting the innate cellular immune and phagocytic responses. Th1 cells are typically also implicated in the pathogenesis of autoimmune processes [15]. Th1 cells’ function includes the release/stimulus of proinflammatory cytokines including interleukin- 12 (IL-12) (inhibits Th2 cells, increases macrophages), IL-18 (induces IFN-γ, monocytes, macrophages, and dendritic cells), IFN-γ, and TNF-α [16]. T-helper 17 cells (Th17) are also known to induce an inflammatory immune response via proinflammatory cytokines such as IL-17 and INF-γ. A 2020 study examined the potential effects of GA against CD4+ Th17 cells and the cytokines they produce. Results from these in vitro experiments show that GA is successful in suppressing and/or decreasing Th17 cells and their associated proinflammatory signaling pathways [17]. Moreover, Th1 and Th17 cell subtypes both exert proinflammatory responses and are involved in tissue injury [13,17].
Conversely, Th2 cells have an anti-inflammatory response. GA-specific Th2 cells can cross the blood–brain barrier (BBB) and release anti-inflammatory and protective cytokines such as IL-4, IL-5, IL-10, TGF-β, and IL-13, all of which can terminate an immune response and mediate tissue repair and regeneration [15]. Interestingly, studies have demonstrated that GA-activated Th2 cells increase the secretion of protective neurotrophic factors including insulin-like growth factor-1 (IGF-1), IGF-2, and brain-derived neurotrophic factor (BDNF) [18,19,20]. Additionally, in RRMS patients, GA is shown to elevate the prevalence and function of T regulatory (Treg) cells as well as activation of FOXP3, a gene which helps regulate the immune system. Treg cells have an immunosuppressive effect which leads to immune regulation and homeostatic maintenance [16]. Similarly, B regulatory cells (Breg) suppress autoimmune pathologies, pathogenic T cells, proinflammatory cytokines and stimulate/produce anti-inflammatory cytokines IL-10, IL-35, and TGF-β. Both Treg and Breg cells’ regulatory effects on the immune response lead to self-tolerance and/or immunological tolerance. GA was additionally found to downregulate granulocyte–macrophage colony-stimulating factor (GM-CSF), which typically functions as a cytokine by stimulating granulocytes and monocytes. A downregulation of GM-CSF was correlated with an elevation in IL-10, Th2 cells, Treg cells, and Breg cells [16].
Recent studies have found that GA has broader immunomodulatory effects on both central and peripheral immune systems [21]. Importantly, in MS patients treated with GA, monocytes were seen to cross the BBB into the brain parenchyma and differentiate into immunoregulatory macrophages [12]. GA is shown to increase and augment the phagocytic activity of monocytes, both in vitro and in vivo [22]. These experiments found an in vitro phenotypic shift from CD14+CD16− monocytes to CD14+CD16+ monocytes, or intermediate monocytes, which have higher phagocytic activity. Specifically, GA’s effects lead to enhanced recruitment of protective monocytes and directly modulated microglia as well as an increase in IL-10 and a decrease in TNF-α [22,23]. Overall, GA promotes and improves phagocytic activity of monocytes and microglia towards myelin debris [13,22,23]. Thus, GA has been shown to impact the phenotype of myeloid cells, including monocytes and microglia, within the periphery and cerebral microenvironment [18,22,24,25].
One cytokine that has been explored more thoroughly in pre-clinical and clinical studies in relation to RRMS and GA is IL-1/IL-1β and IL-1 receptor antagonist (IL-1ra). IL-1ra is a naturally occurring inhibitor of the proinflammatory cytokine, IL-1. Previous studies have hypothesized the possibility of targeting IL-1ra in inflammatory and autoimmune disease therapies [26,27]. Studies found that IFN-β, an alternative therapy for RRMS, was able to modulate the serum levels of IL-1ra which were within normal range in remitting phases, elevated during exacerbations, and elevated after 6 months of IFN-β treatment [27]. More recent studies explored GA’s effect on IL-1β and IL-1ra [10,26]. IL-1β, alongside various cytokines such as IL-19, IL-6, and TNF-α, is known to initiate the innate immunity and is a key mediator of the immune response [10]. In an animal model of RRMS, increased IL-1ra levels were shown to improve disease outcomes. Importantly, in this study, GA was shown to strongly diminish IL-1β expression and enhanced IL-1ra [26].
GA has also been shown to inhibit a very specific receptor, purinergic P2X7 ionotropic receptor (P2X7R), which is found to be increased in inflammatory states, specifically MS. P2X7R is a receptor expressed on monocytes and microglia and is imperative in the activation and proliferation of microglia, potentially leading to destructive, repetitive neuroinflammation and tissue damage. It is also associated with the production of several cytokines responsible for initiating the innate immune response. This clinical study examined GA’s potential effects against this receptor, and it found that GA downregulated P2X7R and its associated inflammatory effects [10].
Although counterintuitive, microglial inflammation is an important negative regulator of the neurogenic microenvironment, as microglia uniquely can both support and interfere with synaptic and neuronal processes [28]. How microglial cells respond to their environment can be influenced by several different factors, not all of which are fully understood. Depending on the environment, GA has been shown to enhance the proinflammatory effects on monocytes in the periphery as well as induce phenotypic shift of brain microglia to both the pro- and anti-inflammatory profiles [18]. For example, GA displayed a direct modulation of microglia cells, leading to phagocytosis [23]. Additionally, there is a bystander expression of anti-inflammatory cytokines such as IL-10 and TGF-β by resident astrocytes and microglia. In fact, there are several central outcomes seen with GA administration beyond phagocytosis of myelin debris. GA is shown to augment remyelination, improve axonal length, increase proliferation of oligodendrocyte progenitor cells, and increase proliferation and differentiation of neuronal progenitor cells [13].
Importantly, GA does not appear to suppress the peripheral immune response as so many Disease Modifying Therapies (DMT) typically do. Instead, this copolymer appears to have an immunogenic effect and enhances the protective peripheral and central immune responses [11]. Studies have demonstrated that a complete suppression of the immune system is not productive for long-term neuronal health [29]. In fact, recent reports have shown that this can later lead to exacerbations of neurodegenerative disease progression in the brain [18]. GA-mediated autoreactive T cells have expressed protective autoimmunity within the brain parenchyma leading to neuroprotection [9]. GA is currently administered subcutaneously at 20 mg daily or 40 mg thrice weekly. This regimen allows for immunomodulation, inflammatory suppression, and peripheral tolerance [13]. Interestingly, this regimen is well-tolerated in RRMS outcomes but not in other disease states in which GA’s role is being explored [13].
1.2. Current and Potential Uses of Glatiramer Acetate
As it affects separate aspects of the immune system, GA is a suitable option for targeting several components of MS pathogenesis, and perhaps other neuro-inflammatory conditions [25,29]. Emerging studies are gaining a new understanding of GA’s mechanism of action—one that is not just immunogenic or immunomodulatory but also includes a neuroprotective effect [30]. These effects are believed to be exerted in a multitude of ways including reduction in CNS injury by modifying innate and adaptive immune cell phenotypes. These in turn can lead to prevention of demyelination, inhibition of motor neuron loss, protection against ischemic changes and reduction in scar tissue formation, as well as elevated secretion of neurotrophic factors promoting synaptogenesis and neurogenesis [31,32]. Indeed, GA may aid in resolving both acute and chronic neurodegenerative lesions by enhancing neurogenesis and synaptic plasticity [32,33]. More specifically, studies have demonstrated that GA-activated Th2 cells increase the secretion of insulin-like growth factor-1 (IGF1) and brain-derived neurotrophic factor (BDNF) [18,19,20]. BDNF is critical for neuronal and glial cell differentiation and survival and for axonal protection. It can restrict neuronal damage and promote repair [19,20]. Interestingly, BDNF has been tightly linked with cognitive function and studies show that there are lower levels of BDNF in the brains of MS patients, which is hypothesized to be correlated to MS-related cognitive deficits [34,35]. These new findings are most relevant for the potential of GA to exert neuroprotection and preservation of cognitive function in various neurodegenerative and neuroinflammatory conditions. This is a novel concept that is on the forefront of current research. In this review, we cover findings from numerous pre-clinical and clinical studies utilizing GA under various neurodegenerative conditions.
2. GA in Clinical Trials
2.1. Role of GA in Preventing Cognitive Decline in Multiple Sclerosis
Since GA is known to have therapeutic effects in MS, other aspects of the disease beyond the inflammatory progression were examined. As previously mentioned, BDNF levels in the brain have been proven to be significantly lower in individuals with MS and have been associated with brain atrophy and cognitive impairment [34]. Indeed, there are a growing number of studies suggesting that GA has protective effects on cognitive functioning. Twelve clinical trials were conducted, all of which utilized several assessments to ascertain the link between GA and neurocognitive protection and improvement, as summarized in Table 1. GA’s effect on both motor function and cognition were analyzed. The expanded disability status score (EDSS) [36], a test that approximates the degree of MS-related motor dysfunctionality via ambulatory status, was frequently used to correlate cognitive findings to disease state.
Table 1 delineates the various outcomes of these twelve clinical studies in MS patients following GA treatment. The results of several assessments showed improvements in physical disability, higher reported quality of life, and reduced levels of fatigue and stress [45,46,47,54]. Additionally, GA showed signs of enhanced information-processing speed and working memory [42,52]. In fact, multiple aspects of memory, including short-term, working, and long-term, were preserved in GA-treated test subjects across three studies [49,50,52].
MS is not only linked to a decline in cognitive processes such as memory, executive functioning, and comprehension but also to psychological issues, primarily depression [55]. Studies have found that depression and its concomitant conditions significantly affect MS patients [55]. Despite this, there are few standardized approaches to diagnose and treat MS-related depression [56]. However, in four out of twelve studies analyzed, GA was found to decrease depression rates in MS and displayed a reduction in comorbidities associated with MS and depression, such as fatigue [45,46,50,52].
Eight of the twelve studies analyzed found GA-driven improvements in multiple cognitive domains including comprehension, evaluation, and analysis of complex situations, and synthesis of appropriate responses [42,45,46,47,49,50,52,54], revealing a possible correlation between GA and cognition. Across these studies, GA administration was linked to mild and/or moderate amelioration of cognitive decline in memory, fatigue, evaluation of new information, processing time, critical thinking, synthesis of novel concepts, decision making, and application of ideas [42,45,46,47,49,50,52,54]. This finding is in line with the proposed neuroprotective effects of GA to reestablish neuroplasticity and reverse degenerative and inflammatory lesions [25].
Despite these findings, it should be argued that the data represent modest improvements in cognitive decline in MS and does not show a definitive link between GA and cognitive preservation or improvement. However, it is important to ascertain the research design and methodology utilized to obtain the data. The studies employed various cognitive assessments. Only two studies utilized standardized assessments which can be applied to the general population, such as the Montreal cognitive assessment (MoCA), the Beck depression inventory (BDI) and Center for Epidemiological Studies Depression scale (CES-D) [57,58,59]. The rest of the studies utilized assessments which are specific to MS patients, including: multiple sclerosis inventory of cognition (MUSIC), multiple sclerosis functional composite (MSFC), modified fatigue impact scale (MFIS), fatigue impact scale (FIS), multiple sclerosis impact scale (MSIS-29), functional assessment of multiple sclerosis (FAMS), Brief International, Cognitive Assessment for Multiple Sclerosis (BICAMS), and multiple sclerosis quality of life (MSQoL)-54 [60,61,62,63,64,65,66,67]. These MS-specific assessments have a skewed perspective and fail to consider multifactorial components of cognitive decline, making it difficult to correlate these findings to generalized outcomes. When taking into consideration the limited scope of these assessments, it is worth contemplating the implications this has on future research of GA’s potential use. Additionally, many of these tests can be “learned”, meaning that once a participant is administered a cognitive assessment, they are able to retain some of the information and can perform better when given the test at a later time to track progression. Thus, participants’ performance might be artificially improved due to learning of the test and not actual improvements from the tested therapy.
Unfortunately, most of the studies are observational and/or utilize a retrospective research design and have not examined real-time effectiveness of GA. For this reason, we performed statistical analyses of cognitive test outcomes amongst several study groups. A careful review was undertaken to identify studies that had utilized the same cognitive assessments and similar study designs of the GA studies. Participants in the studies were age-, sex-, and ethnicity-matched to the participants in the baseline GA study, as well as matched within disease-specific parameters including disease severity (per EDSS), years since disease onset, form of MS (RRMS exclusively), etc. The cohorts examined in these studies were healthy controls, non-GA-treated RRMS controls, and other treatment RRMS. IFN-β was commonly used as the “other treatment” since, like GA, it is utilized as a first-line therapy for RRMS, is also immunomodulatory and is considered an older drug in RRMS [68]. The extensive statistical analyses (one-way ANOVA, paired—between groups with the same participants, i.e., GA-treated—and unpaired post-hoc analysis, etc.) from the comparisons of these articles are displayed in Figure 1A–G. The figures graphically show these variations utilizing mean scores and standard error means to calculate group comparisons.
Meca-Lallana et al. examined changes in GA-treated RRMS patients’ cognition over six months using three separate cognitive assessments: MSIS-29, MFIS, and the Work Productivity Activity Impact Questionnaire (WPAIQ) [47,69]. The MSIS-29 examines the physical, cognitive, and psychological impacts of multiple sclerosis on participants’ lives; Figure 1A displays the statistical analyses between three studies [62,70,71]. The results of cross-cohort comparisons between MFIS scores, a test for physical and cognitive fatigue, are displayed in Figure 1B [66,72,73,74]. FIS scores, an older version of the MFIS, were compared from four studies and the results are displayed in Figure 1C [64,73,75,76,77]. Group comparisons of WPAIQ scores, which represent disease impact on activity/productivity, are displayed in Figure 1D [69,78,79]. Natalizumab, a newer biologic medication often utilized in refractory/severe RRMS, was the alternative treatment in this comparison [80].
Importantly, there were stable patterns amongst the statistical analyses of scores from each of these cognitive tests. One commonality was that there was no significant change in INF-β-treated cohorts’ scores (or natalizumab in the WPAIQ) from baseline to completion of each study. Additionally, IFN-β and natalizumab treatment had no statistical improvement in scores as compared longitudinally to RRMS controls. This implies that alternative treatment for RRMS has no effect on cognition in these studies. When comparing RRMS controls to GA-treated participants longitudinally, GA participants had a statistically significant improvement in cognition, ranging from 33 to 46% improvement. In the WPAIQ, there was no significant difference between healthy controls and GA-treated RRMS patients after 6 months—conveying the potential for GA to improve scores to the level of healthy controls. Finally, the most substantial and remarkable trend amongst these cognitive tests was seen between RRMS patients’ scores at baseline and after 6 months of GA therapy. These same group comparisons had statistically significant improvements in mean scores of the MSIS-29, MFIS, FIS, and WPAIQ (p < 0.001, p < 0.001, p = 0.005, p = 0.002; Figure 1A–D).
Cinar et al. examined the changes in BICAMS scores between RRMS patients after twelve months of GA use as compared to healthy controls and INF-β [50] but did not compare to non-GA-treated RRMS controls. Therefore, an additional article was reviewed that studied cognition in GA treatment naïve RRMS participants via the BICAMS test over 12 months [81]. The BICAMS is comprised of three tests that assess different cognitive domains. The California Verbal Learning Tests II (CVLT-II) examines the cognitive domains of verbal learning and memory; results are displayed in Figure 1E [82]. The Symbol Digit Modality Test (SDMT) tests short-term, visual, and working memory; results are displayed in Figure 1F [83]. The Brief Visuospatial Memory Test-Revised (BVMT-R) examines the cognitive domain of visuospatial memory; results are displayed in Figure 1G [84].
Across all three BICAMS tests, several trends emerged. For example, there was a nearly 50% difference in the average score decrease seen between healthy controls and RRMS controls (19–34%) and the decrease seen amongst healthy controls and GA RRMS patients (10–18%), meaning a smaller deviation from healthy controls following GA administration. Additionally, there was a statistically significant increase (21–25%) in mean scores between GA RRMS patients and naïve RRMS controls, with GA-12 months participants scoring 21–25% better on each cognitive test. Conversely, INF-β was shown to have similar trends in its effects on cognition as compared to GA. However, both INF-β and GA displayed improved cognition after 12 months of use. Specifically, there were highly statistically significant improvements in same group comparisons of GA at baseline and GA 12-months seen in each assessment, the CVLT-II, SDMT, and BVMT-R (p = 0.006, p = 0.003, p = 0.005).
Overall, the findings from this meta-analysis display the propensity of GA to improve and/or preserve various cognitive domains when compared to healthy controls, RRMS controls, IFN-β therapy, and/or natalizumab therapy. Thorough statistical testing across multi-cohort studies repeatedly displayed cognitive improvements within GA-treated patients in longitudinal same group comparisons and when compared to other cohorts. To see GA consistently improve cognition, as compared to several cohorts, across multiple studies is promising for ongoing research.
It is important to consider the scope of these cognitive changes associated with GA. A commonly held counterargument to the articles that found mild/moderate improvement in cognition with GA use is that GA has little or no effect on cognition [85]. Two articles compared GA to other established RRMS therapies and were unable to establish a statistically significant difference between the therapies’ effect on RRMS-related cognitive decline [86,87]. One study found that GA’s effect was similar to IFN-β in improving cognition and the improvements were mild [88]. An additional study found there was no measurable decline or improvement in cognition in the patient groups treated with GA, challenging GA’s potential effectiveness in protecting cognition [38]. Yet another study found that cognitive functioning was stable across ten years in GA-treated patients [40]. Findings such as these could be argued multiple ways. Either GA has no effect on cognition and there are no improvements with continued use, or alternatively, GA is protective against cognition deficit and can prevent decline seen in RRMS.
Thus, multiple issues are presented when studying GA’s effect on cognition in RRMS. It is difficult to establish when cognitive decline occurs at disease onset, before disease onset, after disease onset, etc. [89]. Similarly, the natural history as well as pathophysiology of cognitive decline in RRMS needs to be considered and better understood when studying GA’s potential use. Previous and ongoing research examines these relationships with promising findings, such as correlations between MS plaques and cognitive decline [89]. However, more understanding is necessary to explore therapeutic options. Otherwise, it will continue to be difficult to ascertain how to target and track RRMS-related cognitive decline. It is imperative to understand the process and signs of cognitive decline in RRMS patients for accurate analysis of potential therapies’, particularly GA, effects on cognition.
Overall, the understanding of GA’s use in cognition is complex—while some studies show statistically significant improvement, others show none. There are several reasons to consider why these discrepancies exist including the aforementioned cognitive assessments, the understanding of RRMS-related cognitive decline, and several other confounding variables. Although GA’s cognitive benefits are not robust or consistent across all studies, the fact that it was found is still noteworthy for future studies. Each of these studies consistently stated the need for further research into the role of GA in RRMS-related cognitive decline. The unique MOAs of GA, both neuroprotective and anti-inflammatory, are of great interest. With GA’s potential to improve/protect cognition, it is worth exploring alternative applications of GA.
One of the most common first presenting symptoms of MS is ocular in nature: optic neuritis, which can cause significant vision problems. For this reason, studies have begun to examine the potential benefit of utilizing GA to treat ophthalmic pathologies related to MS. Optical coherence tomography (OCT) was typically utilized to assess retinal nerve fiber layer thickness (RNFLT) and total macular volume, two values that are typically found to be lower in MS patients with ocular signs/symptoms [90]. OCT findings revealed that there was an absence and/or reduction in retinal changes or damage after GA administration [38,40]. These studies found that GA had a beneficial, neuroprotective role in retinal axonal degeneration in MS. GA has been shown to improve MS-associated visual pathology, which is in alignment with the other established use of GA in both MS and ADM [51,53].
GA is already a well-established treatment option for RRMS [91]. The new understanding of GA’s mechanism of action describes an immune-driven protective effect in the central microenvironment against damage and degeneration [21]. The effects of GA are already known to improve MS-related inflammatory processes, resulting in amelioration of physical symptoms associated with the disease pathology [29]. However, as research continues this already well-established copolymer, new roles for its use are being discovered [30]. GA has been shown to not only be protective against inflammation, but also shows potential to have ameliorative effects in MS cognitive decline [25]. Even if these findings are mild, moderate, or inconsistent, it is an interesting concept that could give insight in future research endeavors into the use of GA in not only RRMS-related cognitive decline but other neuroinflammatory or degenerative states.
2.2. Therapeutic Roles of GA in Ophthalmic Disorders
Beyond RRMS, GA has become a proposed therapy for the treatment of age-related (adult-onset) macular degeneration (AMD) [24]. AMD is a degenerative disease that occurs when drusen, waste products from retinal rods and cones, accumulate over time in the macula causing changes in central and color vision [92]. An animal model found that mice deficient in monocytes and/or macrophages developed hallmarks of AMD while a clinical trial similarly found a reduction in phagocytic activity in AMD patients [24,92]. Therefore, it was hypothesized that the depletion of monocytes and their phagocytic activity was part of the pathophysiological process of AMD. Monocytes and their phagocytic activity were studied in both in vivo and in vitro experiments. GA was found to enhance phagocytosis in classic monocytes (CD14+CD16−), and non-classic (CD14dimCD16+) monocytes in intermediate and advanced AMD. Additionally, non-classic and intermediate (CD14+CD16+) monocytes were significantly correlated with drusen area. The phenotypic heterogeneity of monocytes after GA immunization appeared to provide protection against drusen formation and reduced established total drusen area. Additionally, GA-mediated Th2 cells were shown to reduce retinal microglial cytotoxicity, likely induced by amyloid [24]. Another AMD study found a decrease in macular plaque formation [93]. One study also examined GA’s effect on cognitive decline in AMD and identified a decrease in cognitive impairment, which was attributed to the GA-induced brain neurogenesis and neuronal survival [94].
GA’s potential role in glaucoma was reviewed in an animal model as well as a clinical trial. Glaucoma has several forms and a multitude of suspected mechanisms of disease. However, it is generally understood that glaucoma occurs due to increased intraocular pressure causing retinal and optic nerve damage. A severe form of glaucoma, known as acute primary angle-closure glaucoma (APACG), occurs when there is an abrupt disruption of aqueous humor outflow causing a rapid increase in intraocular pressure, greatly increasing the risk of blindness [95,96]. A study in APACG patients found that GA administration was inversely correlated with disease progression. In this study, visual fields were improved [96]. Similarly, an animal model of glaucoma induced chronically elevated intraocular pressure in rats, which led to retinal ganglion cell death and optic nerve damage. This study found that GA induced neurogenesis, repressed retinal ganglion cell death, and attenuated functional decline in rats [95].
Overall, AMD and glaucoma studies identified that GA led to drusen reduction and amelioration of clinical signs related to disease progression, such as visual disturbances. Table 2 summarizes both animal models and clinical trials examining GA’s effectiveness in AMD and glaucoma. All the studies that were reviewed displayed a positive correlation between GA administration and improvement in disease progression and/or clinical symptoms.
2.3. GA Immunization in Amyotrophic Lateral Sclerosis (ALS)
The only other neuropathological state that has moved to clinical human trials with GA is Amyotrophic lateral sclerosis (ALS). ALS is a motor neuron disease in which the specific mechanism of disease is not known but is thought to be due to inflammation and/or degeneration of motor neurons in the brainstem and spinal cord [97,98]. There are various known and suspected etiologies, with genetics being the most studied cause of the disease process [99].
Few completed human studies examining the effects of GA in ALS have been conducted. In these studies, participants with ALS were given 20 mg of GA either bi-weekly or daily [97,98]. Table 3 outlines the immunomodulatory outcomes of these clinical studies in ALS patients following GA treatment. These studies primarily examined GA’s immune cellular response, both centrally and peripherally [97]. GA was linked to a robust humoral response, leading to enhanced cytokine production [98]. Additionally, it was found that there was improved T-cell proliferation and increased levels of Th2 in these patients after GA administration as compared to controls [97]. The enhanced humoral response caused a preferential increase in anti-inflammatory cytokines [97,98]. Th2 proliferation and expansion also led to a similar anti-inflammatory response. Interestingly, one study found that changes in the dosage and frequency of GA, daily versus twice weekly, led to different outcomes [98]. Daily dosage was found to increase Th2 cytokines and IL-4 levels and diminish IL-10 levels while twice weekly regimens were associated with enhanced Th1 cytokines and IL-10 levels and diminished IL-4 levels. In fact, all the clinical trials had varying GA dosage and frequency depending on the disease state being studied. With this information, it is important to consider the potential need to alter the regimen of GA depending on disease type and state. For example, in the successful clinical trial in MS patients, GA immunizations were given either daily or three times weekly, potentially inducing immune tolerance to CNS antigens. In ALS or AMD patients, trials involving less frequent GA immunization regimens had more success [24,46,93]. It is worth citing another clinical study for which a regimen of 40 mg/day did not show any improvement in ALS patients [100]. This study underlines the importance of continued exploration of GA’s potential neuroprotective effects in multiple dosages, regimens, and disease states.
3. Preclinical Studies Using GA in Neurodegenerative Disease Models
As the neuroprotective mechanisms of action of GA are better understood, more studies are being developed to identify its potential novel uses. Its unique mechanisms, while not fully understood, prove to be relevant in several other pathological states outside of MS. This is likely because GA has been shown to improve a broad range of immunocytes both centrally and peripherally. Recent animal studies have shown that increased levels of IFN-γ, which are associated with inflammatory autoimmune diseases, impeded neurogenesis (especially oligodendrogenesis). However, GA raised levels of IL-4 centrally, which then reversed the effects of IFN-γ [101]. IL-4, increased by GA, was also found to attenuate TNF-α production—an important aspect of protective immunity [29]. Overall, these findings in rodent models for neurodegenerative diseases concluded that GA enhanced neurogenesis and improved symptoms of several disease states, not just RRMS.
Recent data continue to display overwhelming evidence of GA’s potential to reduce neuroinflammation, degenerative processes, synaptic and cognitive deficits, and psychiatric burden [31,95,102,103,104]. These findings allow for an expanded exploration of proposed GA uses in several other neurological disease states, including neurodegenerative processes such as Alzheimer’s disease (AD), Parkinson’s disease (PD), and Huntington’s disease (HD) as well as cerebral ischemia and psychological disorders. Some studies even show that if GA is given early in disease course or at onset, it may prevent cognitive decline [99,105].The exploration of the novel use of GA in other central pathologies is still in the early stages of pre-clinical trials/animal studies, allowing researchers to investigate changes in neural tissue after GA administration and correlate it to physical and behavioral exam findings. Early findings across multiple studies show promise for GA’s ability to mitigate disease progression and cognitive loss.
3.1. Effects of GA Immunization in EAE Murine Models of MS
Alternative uses of GA in MS continue to be explored via animal studies. While it is well-established that GA works to reduce the inflammatory processes of MS, more information is needed on its other potential benefits. The cognitive effects of GA are beginning to be examined in clinical trials more regularly. However, animal studies continue to allow for neural tissue analysis and easier control of variables. Table 4 summarizes cognitive and motor outcomes of animal experiments in MS models following GA immunization.
The induced experimental autoimmune encephalitis (EAE) mouse model, which replicates multiple sclerosis inflammatory progression, is commonly used [106]. EAE studies allow the assessment of long-term effectiveness of GA in MS. Several of these studies found that mice treated with GA had similar, or in some instances better, cognitive scores compared to naïve, healthy controls [102,111].
Improved cognitive testing scores were seen in various tests such as the Longa Score Scale (LSS), Cross-Maze Test (CMT), and Delayed Non-Matching to Sample T-Maze (DNMSTM) [112,113,114], implying that GA treatment conserved or even improved cognitive functions [107,110]. Specifically, these animal-model studies found, via histological examination of brain tissue, that GA alleviated neuroinflammatory and neurodegenerative damage to the frontal cortex and hippocampus [102,109,110,111]. Since the hippocampus and frontal cortex are both important in executive functions and memory, it stands to reason that a reduction in inflammation in these areas would lead to improved cognitive findings.
Of note, the role of GA in downregulation of lymphocytic infiltration and reactive gliosis was positively correlated to the prevention of long-term neurological deficits [95,113]. After GA administration, astrocytes morphologically resembled their pre-inflammatory state, indicating the possibility of GA’s reversal of inflammatory effects and disease progression [102,109,111]. GA was found to greatly reduce neurological impairments, correlating to lessened cognitive decline, as displayed by improvements in motor as well as cognitive testing [107,109]. Additionally, neuroinflammation and neurodegenerative progression was slowed or even halted completely in some studies, as seen via laboratory tests such as flow cytometry and/or immunohistochemistry and electron microscopy [102,107]. These analyses showed a reduction in proinflammatory mediators and reduced signs of astrogliosis, oligodendrogliosis, inflammation, and destruction in the central microenvironment [102,109,110,111].
Due to its immunomodulation effects leading to neuroprotection, GA mitigated the clinical evolution of RRMS and provided disease stability [102,110]. Improvements were visualized in neuronal survival, axonal growth, remyelination, formation of new synapses, and axonal regeneration [95,106]. Furthermore, GA offered protection against memory decline, cognitive deterioration, and alleviated disability in established cases of EAE models [102,110,111]. GA prevented disease development and cognitive decline with a significant reduction in the pre-existing clinical manifestations in RRMS animal models [102,107,111]. Studies found that GA can not only prevent disease progression, but also conserves and/or enhances cognitive capacities.
3.2. Effects of GA in Animal Models of ALS
Three studies were conducted with ALS disease mouse models examining the effect of GA immunization. Table 5 reviews cognitive and motor findings of these animal experiments. Several methods were utilized to induce an ALS disease state: via an artificial increase in levels of the defective human SOD1 gene, via facial nerve axotomy, or via crossbreeding SOD1 transgenic and non-transgenic mice [97,115].
In one study, motor neurons were examined after GA administration. The findings indicated that GA’s neuroprotective effects extended to motor neurons and motor activity. Specifically, both acute and chronic degeneration of motor neurons was prevented and/or improved. Additionally, GA-treated mice’s lifespan was significantly increased as compared to untreated controls [99].
However, in other ALS models, the findings were less promising. One study found that GA-immunized mice displayed improvements in motor function, with animals reaching approximately 10% of their pre-symptomatic motor activity and demonstrated a significant diminution in disease progression [116]. Importantly, although there were improvements in symptomatic aspects of the disease, the administration of GA did not change the outcome—lifespan was not extended [116]. Another study examined the utilization of TV-5010, a synthetic high-molecular weight polymer formulation of the same amino acids of GA. This study analyzed motor functions and muscle strength, with no significant improvements either [117]. Additionally, there were no appreciable improvements in lifespan in this experiment. However, the study utilized several different dosing regimens of TV-5010 with some variations in findings. This study utilized a synthetic polymer that is similar to GA and had different findings than other similar studies, so its results may or may not be applicable here [117]. Again, further research is needed to determine the optimal dosing regimens (quantity and timing) of GA.
3.3. Role of GA in Repair, Regeneration, and Cognitive Preservation in AD-Model Mice
Neurodegenerative diseases are being thoroughly examined as potential targets for GA. Alzheimer’s Disease (AD) is a neurodegenerative disease characterized by chronic inflammation which alters amyloid β-protein (Aβ) metabolism, Aβ plaques and neurofibrillary tangles formation, leading to impairment of synaptic plasticity and cognitive function [118]. This may be the mechanism behind AD’s disease progression, presentation, and cognitive decline [119]. Numerous animal studies have been conducted examining the effects of GA on the degenerative processes associated with AD. Current research shows that AD has similarities to MS in the central degenerative and inflammatory processes [120]. Specifically, mitochondrial injury is typically part of the process causing degeneration of various central microstructures such as neurons, axons, and synapses [121]. Additionally, astrogliosis and microglial activation are very similar in MS (specifically RRMS subtypes) and AD [118,119,121]. Considering the similarities in pathophysiology between these diseases, several studies have been exploring the potential for GA to treat AD.
Studies examining AD have found that the resident immune cells of the CNS are not sufficient in clearing Alzheimer’s-related inflammation and Aβ plaques. However, animal models show that GA-enhanced peripheral immune cells can cause central immunomodulation via elevation of protective anti-inflammatory cytokines [20]. Studies are also examining the potential role of the innate immune system response in targeting AD-associated Aβ accumulation and plaques [122]. The findings from these new and interesting studies could be very beneficial to the understanding of natural immune responses’ effects in neurodegeneration and how GA might be able to assist in this via immunomodulation.
Since GA has been found to boost peripheral immune responses, studies have begun to examine GA’s potential use in AD, including the well-established APPSWE/PS1ΔE9 transgenic (ADtg) murine model of AD [123]. Cerebral recruitment of specific, protective monocytes is found to be induced by GA, specifically to Aβ lesion. The peripherally derived monocytes are highly active, with roles in Aβ degradation, immune regulation via secretion of anti-inflammatory cytokines and downregulation of proinflammatory cytokines, and neurotrophic support/neuroprotection [32]. GA immunomodulation was found to restore pre- and post-synaptic density and induce both synaptogenesis and neurogenesis, resulting in preservation of cognitive functions [124].
Table 6 summarizes cognitive and motor outcomes in animal experiments of AD models following GA administration. These studies found an increase in the Th2-derived regulatory anti-inflammatory cytokines Interleukin-4 (IL-4) and Interleukin-10 (IL-10), primarily around Aβ plaques, and a reduction in proinflammatory mediators (i.e., TNFα, IL-6) [31,104,105,125]. In fact, several studies found that there is an important role for GA-driven immunomodulation, affecting both the central and peripheral immune responses, leading to regulation and repair causing Aβ removal in AD models [31,32,95,124,126,127]. One study found that GA-activated central immune cells, such as microglia, degraded, engulfed, and cleared soluble fibrillar Aβ plaques [125]. Our group found that these GA-activated microglia, macrophages, and bone-marrow-derived monocytes (MΦBM) aided in degradation of Aβ plaques [32,124] and that GA promoted neuroprotective, phagocytic, pro-healing and anti-inflammatory phenotypes in macrophages [95]. The new phenotypes were associated with proliferation and survival of oligodendrocytes, preserved synaptic processes and increased levels of neural progenitor cells, showing signs of enhanced neurogenesis and neuroprotection [95,127].
AD animal models underwent thorough CNS analyses for AD-like pathology such as Aβ plaques. Neural tissue taken from the GA-treated ADtg mice displayed enzymatic degradation of Aβ plaques as well as reduction in and regulation of central inflammation [31,95,126,127,128]. All the observed ADtg had decreased Aβ42 levels, likely due to a GA-stimulated increase in macrophage-aided removal of the Aβ plaques [31,104,105,124,125,127,128]. Specifically, GA was shown to reduce Aβ depositions in the cerebral vasculature, retina, and parenchyma [18,104,105] and was linked to amelioration of AD signs, both in the cerebrum, the retina, hippocampus, brain cortex, and other parenchymal areas [105,124,126,129]. Additionally, levels of MMP9 protein, an enzyme known to degrade Aβ, were increased [31,32]. GA-enhanced immune cells reduced Aβ42 oligomers and protected the integrity of synapses and neuronal structure [31,124]. Substantial reductions in Aβ plaque burden were detected after GA immunizations [18,104,105,126,128]. Additionally, GA was found to induce neurogenesis, neuroplasticity, synaptoprotection and preservation, regeneration of the cortical microenvironment and eliminate highly toxic Aβ42 and Aβ40 oligomers [95,104]. GA induced monocyte recruitment and phenotype shift, causing a regulation of local inflammation and leading to a decrease in vascular and parenchymal Aβ plaque burden [18,124,127]. Similar to previous disease states, GA was found to enhance the expression of IFN-γ and the protective neurotrophic factors, BDNF and IGF-1 in AD [129]. Unlike findings from EAE animal models and RRMS clinical trials, weekly administration of GA was found to reduce Foxp3+ Treg levels. Moreover, studies found that GA’s immunomodulation efficiently cleared cerebral Aβ, diminishing astrogliosis and detrimental neuroinflammation [31,32,104,105,124,127,129]. Therefore, GA could mitigate AD’s effects since the drug is able to increase protective peripheral immune cells, modulate T-cell response, and aid in protection of the central microenvironment.
Cognitive functioning was also examined, and a significant statistical decrease in cognitive deficits associated with AD was found. The increase in insulin-like growth factor-1 (IGF-1) that was detected in the brains of mice following GA immunization may further explain the enhanced neurogenesis and cognitive function in these mice. Interestingly, there was also evidence of improvements from baseline in cognitive functioning and protection against decline [31,32,96,101,102,123]. Importantly, GA was also associated with an improvement in cognition, demonstrating that GA has the potential to reverse cognitive decline [31,80,81]. Cognitive domains such as memory, learning, spatial memory, discrimination index and special recognition were assessed. This was performed utilizing various behavioral tests, such as the Longa Score Scale (LSS), Morris Water Maze Test, (MWMT), Radical Arm Water Maze (RAWM), and the Barnes Maze Test (BMT) [103,132,133,134]. Several studies found that rodents displayed stable and enhanced cognitive functioning [18,31,104,126,128,129]. GA protected against cognitive decline and preserved neurofunction, largely due to GA’s robust immunomodulatory and neuroprotective effects.
Overall, these studies found that GA attenuated pathological and neurodegenerative processes in AD animal models. GA’s immunomodulation was linked to expansion of Th2-type cells and increased cerebral recruitment of neuroprotective monocyte-derived macrophages. The recruited monocytes contributed to a phenotype shift of the local cellular and inflammatory milieu, including tilting the balance between levels of pro- and anti-inflammatory cytokines and metalloproteinases—all of which contributed to ameliorating AD pathology [31,32,101,105,125,128]. Evidence continues to show that GA abrogates the accumulation of various toxic forms of Aβ in the CNS [31,104,124]. Importantly, GA mitigates cognitive decline and protects against degenerative processes, at least in part by secreting neurotrophic factors such as TGFβ, OPN and IGF-1, affecting neurogenesis and neurocognition processes [18,31,104,105,126,128]. It is important to note that certain studies compared daily versus weekly administration of GA in AD animal models. Although weekly administration was beneficial, daily injections of GA were detrimental leading to moderately worsened cognition and there was no evidence of Aβ plaque clearance [129]. Due to its dual mechanism of action, immunomodulatory effects and neuroprotective benefits, GA could potentially be a very important component of AD care, targeting neurodegeneration and cognitive functioning.
3.4. GA Immunization in Animal Models of Parkinson’s Disease (PD)
Parkinson’s disease (PD) is the second most common neurodegenerative disease, following AD. It is characterized by the degeneration of the dopaminergic neurons within the substantia nigra pars compacta and a reduction in dopamine. This leads to movement deficits, particularly causing impaired initiation of movement [135]. With this understanding of the neurodegenerative pathophysiological process of PD, it could potentially benefit from the neuroprotective effects of GA. Thus, animal studies have recently been conducted to examine this possibility.
Table 7 outlines cognitive and motor outcomes in two animal models of PD following GA treatment. The MPTP (1-methyl-1,2,3,6-tetrahydropyridine) neurotoxin model is commonly used to induce a pathological state similar to PD in mice [136]. Like previous studies, one PD model found that GA led to an increase in BDNF, IL-4 and IL-10, implying neuroprotection [137]. GA was found to improve gait and movement behaviors [137]. Enhancements in motor behaviors were visualized via results from laboratory testing methods [138]. Animals displayed a tendency to explore novel areas of mazes, relating to cognitive improvements, and had improved gait [135]. These studies also identified that GA protects the substantia nigra from PD-related neurodegeneration and motor complications [135,137].
3.5. GA Immunization in Murine Models of Huntington’s Disease (HD)
Huntington’s Disease (HD) is yet another neurodegenerative disease that could potentially benefit from GA’s neuroprotective effects. HD is associated with a genetic mutation: a trinucleotide repeat expansion, CAG, in the Huntingtin (HTT) gene of humans. This mutation leads to progressive parenchymal tissue damage causing a broad range of central deficits including sensory, motor, and cognitive [139]. Recent studies exploring the specific mechanisms of degeneration in HD have found increased free radicals, increased excitotoxicity, suspected inflammatory processes, and importantly, altered/lower levels of BDNF [140].
Therefore, mouse models of HD were utilized to assess GA’s effect in HD-like pathological states. Male mice on a B6CBA genetic background and female mice on a FVB background were crossbred. The offspring were tested for CAG nucleotide repeats, which were confirmed with PCR and genotyping [141]. Table 8 examines the cognitive and motor outcomes in animal experiments of HD models after GA immunization. Studies examined BDNF expression and its effect on reducing pathogenic astroglial cells. In these models, GA restored BDNF levels and decreased neurodegeneration [139,140,142]. With GA use, lifespan was prolonged and disease progression was delayed [139,140].
GA also was associated with improved cognitive functioning and motor/neurofunction [139,140,142]. Cognition was preserved by GA, as observed in the open field behavioral analysis (OFBA) and the rotarod tests [147,148]. The rodents in the OFBA tests showed less aggression, more purposeful movements, and improved decision-making [139,140]. The drug was also linked to less severe presentation and a later onset of behavioral issues [136]. GA was additionally found to ameliorate hyperactivity often seen in HD [140]. Motor functions and stereotyped behavior or movements were also improved after GA administration [140,142]. Additionally, the neuroplasticity and neurogenesis enhancements garnered by GA use was clear in these studies. Overall, these studies show that GA could play an important role in future studies of HD treatment.
3.6. Role of GA in Neuropsychology
In previous studies, GA has been shown to improve not only cognitive domains but also psychiatric conditions and symptoms. Recent reports have implemented animal models of various psychiatric conditions to evaluate the potential for GA to mitigate their symptoms. Table 9 summarizes the outcomes in animal models of neuropsychiatric pathologies following GA immunization.
One article studied genetically induced immunodeficiency in rodents and then administered psychoactive drugs that have a negative effect on mental status and cognition [103]. This combination of genetic and environmental effects was meant to represent a schizophrenia model, as well as other similar psychiatric conditions. This article found that GA reversed the effects of psychoactive agents, despite a weakened immune system. In particular, test subjects were found to have better communicative behavior as well as memory.
In a study examining stress, rodents were exposed to chronic mild stressors (CMS) via brief periods of oxygen deprivation or small shocks [154]. Levels of nitric oxide synthase (NOS) as well as reactive oxygen species (ROS) were then measured. Higher levels of ROS, which are free radicals, cause damage via oxidative stress [162]. Conversely, NOS is an antioxidant that is associated with protection from destructive processes such as infection, inflammation, and cell death. Therefore, when evaluating the effects of ROS and NOS, ROS will cause neurodegeneration and cognitive deficits [163], whereas NOS is associated with neuroprotection and found in higher levels of anti-inflammatory states [140]. Here, GA’s effects on the brain were examined in relation to stress [154]. Treatment with GA resulted in an increase in NOS and a decrease in ROS, leading to lower rates of negative outcomes and complications from stress and ROS.
One study implemented the use of lipopolysaccharides to cause short-term memory impairments in mice and found that GA injection improved axonal growth and remyelination [157], which correlated with memory improvement and shorter latency times in task completion.
In the model of radiation injury, rodents had significant short-term and spatial memory deficits. However, in treatment groups, GA was linked with restoration of hippocampal neurogenesis [161]. Due to this GA-mediated improvement in neurogenesis and neuroplasticity, multiple aspects of memory including short-term, long-term, and spatial were improved. Additionally, GA was linked to reversal of behavior impairment associated with the radiation.
The neuropsychological models found a positive correlation between GA use and improved memory, communicative behavior, psychosocial interactions, and stress response [98,154,157,161]. These promising results warrant further exploration into potential neuropsychiatric applications of GA. Disease states that GA is known to ameliorate, such as RRMS, often have neuropsychiatric components. Therefore, this drug could potentially serve dual purposes for many disease states: both the psychiatric burdens and inflammatory complications could be targeted, thereby lowering multiple aspects of the morbidity of these diseases.
3.7. Role of GA in Central Ischemia and Vascular Dementia
Ischemia within the central nervous system (CNS), particularly within the brain itself, can be caused by a multitude of etiologies. Most commonly ischemic brain injury is due to a thromboembolic stroke and/or cerebral hemorrhaging. Central ischemia can cause significant neuropathological changes. The functional deficits of sustained CNS ischemia are dependent on the area the ischemia is located in. However, clinical signs/deficits are typically motor, sensory, verbal, and cognitive in nature [164]. Cerebral ischemia specifically due to stroke has been shown to increase neural inflammation. This is thought to be due to the breakdown in BBB integrity, leading to an influx of immune cells into the brain. Additionally, a local immune response is triggered by endogenous tPA endothelial release, activating astroglia and microglia [165]. Therefore, several studies have begun to examine what effects anti-inflammatory therapy has on cerebral ischemia complications. Table 10 summarizes cognitive and neurofunctional outcomes in animal models of cerebral ischemia following GA immunization.
In these animal models, cerebral ischemia was induced via several techniques, one of which was permanent middle cerebral artery occlusion (pMCAo) in mice [170], whereby cognitive decline was induced, and inflammation was exacerbated in the brain. This allowed for an analysis of the ischemic pathological state and the potential improvements via GA treatment. Studies specifically examined memory and sensorimotor functioning before and after GA treatment following a cerebral ischemic injury. As seen in several other studies, GA displayed an immunomodulatory effect, with increase in anti-inflammatory mediators [31,164,169]. In nearly all CNS ischemia (CNSi) animal models, the immunomodulatory and neuroprotective effects of GA were linked to an enhancement in early neurogenesis, improved neuroplasticity, and strong neuroprotection. With these improvements, GA was found to prevent long-term memory loss and reduce cognitive deficits.
Vascular dementia was induced via permanent cerebral artery occlusions, similarly to cerebral ischemia [175]. GA was once more found to increase the expression of BDNF and modulate the hippocampal balance of Th1/Th2 cells and associated cytokines [174]. These effects positively correlated to a reduction in cognitive deficits.
In each CNSi study, there was a significant reduction in post-ischemic infarct volume [164,167,169,174]. Novel effects of GA, demonstrated in the reduction in the neurovascular damage to cortical regions, can be related to the immunomodulatory activity of GA. Treatment with this copolymer prevented neurodegeneration associated with ischemic injury and inflammation [164,167,169]. Additionally, GA was associated with an accelerated recovery of sensorimotor functions [164,174]. A significant improvement in neurological functions was identified in GA-treated subjects as compared to controls [167,168,174]. Collectively, these models of vascular dementia and cerebral ischemia demonstrated the benefit of using GA in the early phase following a stroke with signs of improvement in inflammation, memory loss and sensorimotor deficits [164,167,168,169,174].
In summary, Figure 2 describes the current knowledge regarding the molecular mechanisms of GA in eight different neurological diseases outlined in this review, including evidence of therapeutic effects and functional benefits.
4. Conclusions and Future Directions
GA has been a first-line treatment to target the uncontrolled, detrimental inflammatory processes found in relapse-remitting forms of MS. However, recent studies have found that GA has more therapeutic benefits than previously thought. With emerging evidence that GA immunization induces cerebral BDNF and IGF-1 expression and neuroprotective effects in the CNS (Figure 2), it is imperative to continue to study its implications in various pathologies. The neuroprotection of GA has been found to assist in preservation of synapses and cognitive function and to be prophylactic against cognitive decline. While these effects are useful in the treatment of MS and its related neurocognitive complications, it is also feasible that GA has additional benefits in other disease states. AMD is an already established condition that GA targets; however, visual pathologies in MS have the potential to be targeted by GA as well. Neuroplasticity restoration and cellular repair is another, well-studied role of GA that has proven to be beneficial in treating degenerative and inflammatory lesions in several pathological states outside of MS, including Alzheimer’s, Parkinson’s, and Huntington’s disease. Additionally, the cognitive findings in these neurodegenerative diseases as well as in neuropsychiatric conditions and cerebral ischemia have the potential to be ameliorated by GA’s neuroprotective effects. A key finding among some studies is that GA may reverse inflammatory damage and improve cognitive function, resulting in improved functional status from baseline after GA administration. However, further study of the GA regimen dosing and frequency for each of these unique diseases and pathologies is needed. For example, in acute presentations a one-time administration or short course of GA may be sufficient but for chronic diseases, more intervention could be necessary.
As the inflammatory and immune cells are key players in all of these diseases and the effects of GA, future studies could potentially evaluate the ongoing role of other, less studied cells. For example, macrophage migration inhibitory factor (MIF) and its homolog D-dopachrome tautomerase (D-DDT) are inflammatory factors with a common receptor, CD74. They are thought to be implicated in the pathogenesis of immunoinflammatory diseases and disease worsening. This is thought to be due to their multi-functional, pleiotropic effects leading to several pro-inflammatory states [176,177,178]. Recent studies have examined the possible role of these cytokines in MS. In an animal model, higher level of MIF and D-DT were correlated to increased EAE disease severity. Conversely, animals that lacked MIF and D-DT had a less severe progression of EAE [176]. Another study examined these cytokines in MS patients with clinically isolated syndrome (CIS). It was found that MIF and D-DT were overexpressed in CD4+ T cells of MS patients [177]. Similarly, IL-37 is hypothesized to help determine onset and progression of MS [179]. The findings from such studies display the possibility of targeting MIF and D-DT for pharmacological purposes and even diagnostic markers of disease progression [176,177,178]. Overall, it is imperative that the effects of GA continue to be examined and tested to better understand its myriad of neuroprotective benefits and the potential treatments it could offer.
5. Review Methods
To perform this meta-analysis, a thorough and careful literature review was conducted. Articles and studies from peer-reviewed journals were assessed that examined potential novel effects of GA with a focus on cognition. Due to the burgeoning nature of this research concept, both clinical trials and animal studies were considered for the review. The online database and search engine, PubMed, was utilized to search for studies that were in line with this review’s goals. Key words and phrases selected for the PubMed search included: glatiramer acetate and cognitive function, GA cognition, Copaxone cognitive function, GA alternative effects, GA neurodegeneration, GA neuroinflammation cognition, Coplymer-1 cognition, Cop-1 cognition, GA Alzheimer’s disease, GA movement disorders, GA psychology, et cetera. There were approximately 1000 articles produced on average from the search utilizing these words and/or phrases. However, not every article fit the criteria of this literature review. To quickly evaluate the relevance of these articles, the abstract was reviewed. If the abstract expressed a focus on GA and cognition within neurological pathologies, the study was further analyzed. However, if it was found that the article was itself a review paper, meta-analysis, or any other non-experimental paper, it was not accessed for review. Additional exclusion criteria included studies published before 2000 (with the exception of MS clinical trials), studies with several confounding variables (e.g., multiple drugs studied in various patient cohorts), and studies not available in English (the primary language of the reviewer). Out of the approximately 1000 articles populated from the first search, another 100 on average had abstracts which coincided with the topic of interest. Once reviewed more carefully, approximately 25 articles further met the search criteria. Articles that were excluded did not have goals or outcomes that were in line with the purpose of this review. For example, if a study was examining the effects of GA in Alzheimer’s dementia but did not focus on cognition, it was not utilized. In general, articles were excluded that did not focus on cognitive effects of GA in specific neurological disease states. Several articles commented on cognition and GA but only those that specifically studied the relationship between GA and cognition were included in this review. A final exclusion criterion was implemented to evaluate the studies: improved or maintained cognitive performance. With this criterion in mind, an average of 10–15 articles were extrapolated from the search and utilized in this review.
The main information obtained from these articles was constructed into a table to allow for a quick overview of the findings. While assessing these articles, the main points considered for inclusion were as follows: GA’s neuroprotective effect, novel uses for GA, research design and methodology, scoring mechanisms/research tools used (e.g., MFIS, Modified Fatigue Impact Scale), findings, analysis of the suspected mechanism of action for GA and emphasis on neurological and psychological pathologies. The results from each article were analyzed carefully for validity, reproducibility, accuracy, and relevance to the current research question. After reviewing the relevant articles, the information obtained was assessed with the overarching theme of novel uses for GA driving this analysis. Once the information was organized appropriately, a deeper evaluation was completed of the findings. The general findings were reported on and divided into categories based on the potential new target for GA use.
A further analysis was made, specifically within the clinical trials examining cognitive effects of GA in multiple sclerosis. Articles were obtained for the purpose of the review with the above-mentioned methods. However, articles were then further selected with more stringent criteria. If they did not present detailed results and statistical analyses, they were not included. For example, if an article did not include specific results such as mean scores from cognitive testing or p-values from comparison analyses, it was not eligible. Additional articles were then selected that had similar study designs testing cohorts with the same cognitive assessments. For example, articles included in this review almost exclusively examined RRMS patients treated with GA and the cognitive effects were studied via various established assessments. Unfortunately, several of these articles did not have control groups that were well-established or any comparisons to other patient cohorts. Therefore, articles were found to perform a comparison analysis of various groups. Articles were found that included cohorts which were matched by age, sex, education status, disease status (if applicable), disease type (if applicable), and disease duration (if applicable). Cohorts were examined with the following group comparisons in mind: healthy controls, RRMS controls (no treatment), or alternative treatment (typically IFN-γ since this is relatively comparable to GA). Once these articles were identified, a rigorous statistical analysis and comparison was carried out. The digital program, GraphPad Prism, was utilized to run these analyses and obtain values for the group comparisons. Comparisons were made amongst groups within specific cognitive assessments. For example, groups were matched and compared within cohort results for MFIS and then analyses were made for that specific test. A one-way ANOVA was utilized with a post-test Tukey to obtain comparative values and determine the statistical significance of the group variations within individual cognitive assessments. Then, Prism was further utilized to graphically display the statistical findings including standard error means and p-values between the groups. The graphs represented a visual display of the statistical significance of these important findings.
6. Side Effects and Safety
Since GA is a relatively old drug that is already widely used, the side-effect profile is well understood and tolerated. Additionally, GA is relatively safe with few, if any, significant, strong risks or contraindications. The majority of side effects found in GA are associated with injection-site reactions (pain, erythema, soreness, swelling, and hard indurations) [180]. Additional side effects include nausea, vomiting, chills, arthralgias, myalgias, neck pain, back pain, dyspnea, chest pain, headache, diplopia, polyuria, weakness, rhinorrhea, fever, sore throat, and tremors [181]. The only reported contraindication is a known hypersensitivity to mannitol or GA itself [180,181]. Overall, GA is a well-tolerated and safe drug with few associated risks.
Conceptualization and writing, A.K. and M.K.-H. Assistance writing and editing, Y.K., D.-T.F. and A.R. Illustration, A.K., D.-T.F., Y.K. and M.K.-H. Project administration, A.K., M.K.-H. and K.L.B. All authors contributed to the discussions and presentations. All authors have read and agreed to the published version of the manuscript.
We thank Mia Oviatt for editing assistance. This article is dedicated to the memory of Salomon Moni Hamaoui and Lillian Jones Black, both of whom died from Alzheimer’s disease.
The research investigators have no conflict of interest to report.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Figure 1. Cognitive and Behavioral studies involving RRMS patients following GA immunization treatment. (A) MSIS-29 examines the physical, cognitive, and psychological impacts of multiple sclerosis on participants’ lives. Statistically significant improvement between RRMS controls and GA after 12 months group with a 33% decrease. A statistically significant improvement between GA baseline and 12 months of GA treatment, with a 14% decrease (p < 0.001). No significant change in INF-β-treated RRMS cohort. There was a 12% decrease in scores between RRMS controls and INF-β treated as compared to 33% decrease between RRMS controls and RRMS GA-treated cohort. (B) MFIS examines fatigue. Statistically significant improvement between RRMS controls and GA after 12 months group with a 46% decrease. A notable improvement between GA baseline and 12 months of GA treatment, with a 25% improvement (p < 0.001). No significant change in RRMS controls and INF-β-treated cohorts. (C) FIS examines fatigue. Statistically significant improvement between RRMS controls and GA after 12 months group with a 35% decrease. An even more notable statistically improvement between GA baseline and 12 months of GA treatment, with a 45% increase (p = 0.002). No significant change in natalizumab treated RRMS cohort. Additionally, no significant difference between healthy controls 6 months of natalizumab treatment. (D) WPAIQ examines productivity and disease impact on activity/productivity. Important to note, no significant difference between healthy controls and GA-treated RRMS patients. Statistically significant improvement between RRMS controls and GA after 12 months group with a 35% decrease. An even more notable statistically improvement between GA baseline and 12 months of GA treatment, with a 45% increase (p = 0.002). No significant change in IFN-β treated RRMS cohort. Additionally, no significant difference between RRMS controls and 6 months of IFN-β treatment. Graphs (E–G) represent the 3 tests that make up the BICAMS. (E) CVLT-II examines verbal learning and memory. No significant change in healthy controls. A 19% decrease in scores between healthy controls at 12 months and RRMS controls as compared to 10% decrease between healthy controls and RRMS GA-treated cohort. Statistically significant improvement between RRMS controls and GA after 12 months group with a 25% increase. No statistical difference between INF-β-treated cohorts at 12 months and GA-treated cohorts at 12 months. Statistically significant increase/improvement/change between GA baseline and 12 months of GA treatment (p = 0.006). (F) SDMT, a test of short-term, visual, and working memory. No significant change in healthy controls. A 34% decrease in scores between healthy controls at 12 months and RRMS controls as compared to 18% decrease between healthy controls and GA-treated RRMS cohort. Statistically significant improvement between RRMS controls and GA after 12 months group with a 25% increase. No statistical difference between INF-β-treated cohorts at 12 months and GA-treated cohorts at 12 months. Statistically significant increase/improvement/change between GA baseline and 12 months of GA treatment (p = 0.003). (G) BVMT-R of visuospatial memory. No significant change in healthy controls. A 29% decrease in scores between healthy controls at 12 months and RRMS controls as compared to 14% decrease between healthy controls and GA-treated RRMS cohort (nearly half the percent change). Statistically significant improvement between RRMS controls and GA after 12 months group with a 21% increase. No statistical difference between INF-β-treated cohorts at 12 months and GA-treated cohorts at 12 months. Statistically significant increase/improvement/change between GA baseline and 12 months of GA treatment (p = 0.005). * p < 0.05, ** p < 0.01, **** p < 0.0001. ns: no significance.
Figure 2. Mechanism of action and therapeutic effects of GA neuroimmunomodulation across various neurologic disorders. The synthetic immunoactive copolymer glatiramer acetate (GA; formula C25H45N5O13), branded Copaxone (also known as Copolymer-1 or Cop-1), is comprised of four amino acids, Lysine, Arginine, Glutamic acid and Tyrosine, in random order, resembling myelin basic protein (MBP). In the CNS under injury or inflammatory conditions, MBP level is increased, and GA is considered as its weak agonist. GA causes expansion of specific populations of helper T type 2 (Th2) cells that secrete anti-inflammatory cytokines and recruitment of monocytes-derived macrophages into the diseased brain, spinal cord, and retina. PD: data is based on pre-clinical studies. GA immunization (200 μg/s.c. or 3.5 mg/kg/s.c. daily for four weeks) increased BDNF, IL-4 and IL-10 levels and protected the substantia nigra from dopaminergic neuron degeneration thus limiting disease progression and improving motor functions. AMD: data is based on clinical studies, where GA immunization (20 mg/s.c.) was given once a week for 12–16 weeks. GA was found to enhance the phagocytic ability of classic (CD14+CD16−) and non-classic (CD14dimCD16+) monocytes. GA immunization induced a phenotypic heterogeneity of monocytes which seemed to provide a protection against drusen formation. Additionally, GA-mediated Th2 cells were shown to reduce retinal microglial cytotoxicity. Overall, GA reduced retinal atrophy and improved visual functions. Neuropsychology disease: pre-clinical data showed that GA treatment (100–250 μg/s.c./daily or weekly for 1–2 weeks) increased neuroprotection and improved cognition (as demonstrated with various behavioral tests) with elevating levels of NOS and neurotrophic factors (BDNF, IGF-1 and IGF-2) along with decreased levels of ROS. AD: data is based on pre-clinical and in vitro studies where GA immunization (100 μg/s.c./weekly for 4–12 weeks) increased infiltration of CD115+LyC6hiCD45hi-OPN+ monocytes to the CNS as well as Th2 population. Infiltrating monocytes-derived macrophages (CD68+) and their scavenger receptors (CD36, SCARA1, CD163) contributed to enhancing clearance of Aβ plaques and other Aβ assemblies from the parenchyma and blood vessels. Neuroinflammation in the form of reduced GFAP+ astrogliosis and Iba1+ microgliosis was reduced along with decreased levels of TNF-α and increase in IL-10 levels. Secretion of neurotrophic factors such as IGF-1, OPN, and increased expression of transcription factor EGR1 enhanced hippocampal synapses and neurogenesis. As a result, a phenotype shift from pro- to anti-inflammatory microglia is observed. Overall, GA reduced cerebral inflammation and improved Aβ clearance, preserved synapses and cognition. Interestingly, GA given daily revealed to be detrimental. HD: pre-clinical data of GA treatment (100–750 μg/s.c./daily, weekly, thrice weekly, or five times weekly for 4–12 weeks) showed elevated BDNF levels in striatal cells, decreased motor neuron damage and hyperactivity and improved motor function and cognition thus overall increasing lifespan. ALS: pre-clinical (100 μg/s.c./daily, weekly, bi-weekly, or monthly for 1–4 weeks) and clinical (5–20 mg/s.c./daily or twice monthly for six months) studies demonstrated immunomodulation by GA leading to Th2 proliferation along with increased levels of IL-4 and IL-10, which may reduce neuroinflammation, preserve motor neurons, and improve motor function, thus possibly prolonging lifespan. CNSi: pre-clinical data (100–200 μg/s.c./weekly or thrice weekly for 1–4 weeks) showed that GA treatment ameliorated neuro-deficit, improved cognition and neurogenesis associated with increased level of BDNF, and anti-inflammatory cytokines (IGF-1, IL-10), decreased pro-inflammatory cytokines (TNF-α, IL-6, IFN-γ). GA was also associated with recovery of sensorimotor functions and reduction in post-ischemic infarct volume. RRMS: pre-clinical (200–250 μg/s.c./daily for 1–3 weeks) and clinical (20–40 mg/sc/daily or thrice weekly for six months to ten years) data demonstrated that GA increased levels of anti-inflammatory cytokines (IL-4, IL-5, IL-9, and IL-13) derived from Th2 cells in the CNS. Increased infiltrating-monocytes-derived macrophages decreased TNF-α and increased IL-10, leading to reduction in neuroinflammation, relapse, and lesions. Elevated levels of neurotrophic factors such as BDNF and IGF-1 and 2 were associated with improved cognitive domains such as information processing, verbal, and visuospatial learning and memory. More importantly, GA prevented the formation of anti-myelin antibodies and thus reduced demyelination and promoted remyelination, axonal growth, regeneration, and improved quality of life such as reducing EDSS, fatigue, and depression. Data are derived from pre-clinical (mouse icon) and/or clinical (human head icon) studies. Aβ: amyloid-β; AD: Alzheimer’s disease; Ala: Alanine; ALS: Amyotrophic lateral sclerosis; AMD: adult-onset macular degeneration; As: Astrocyte; BDNF: brain-derived neurotrophic factor; BMT: Barnes maze test; CD: cluster of differentiation; CNSi: central nervous system ischemia; EDSS: expanded disability status score; EGR1: Early Growth Response Protein 1; HD: Huntington’s disease; IGF: insulin-like growth factor; Glu: Glutamic Acid; Inf. Proc.: information processing; IL: Interleukin; INF: Interferon; L-Arg: L-Arginine; L-Cit: L-Citrulline; Lys: Lysine; Mφ: macrophage; MG: microglia; Mo: monocyte; MWM: Morris water maze; NO: nitric oxide; NOR: novel object recognition; NOS: nitric oxide synthase; OFBA: open field behavioral assessment; OPN: Osteopontin; PD: Parkinson’s disease; PPI: pre-pulse impulse; RAWM: radial arm water maze; ROS: reactive oxygen species; RRMS: relapse-remitting multiple sclerosis; s.c.: subcutaneous; TGF: transforming growth factor; Th: T helper cell; TNF: tumor necrosis factor; Tyr: Tyrosine. Figure was created with Biorender.com (accessed on 16 June 2021).
Clinical Trials Examining Cognitive Outcomes of Glatiramer Acetate Immunization in Multiple Sclerosis Patients.
Disease State | Research Design and Methodology | Findings | Ref. |
---|---|---|---|
MS |
|
|
Weinstein, A. et al., 1999 [ |
MS |
|
|
Schwid, R. et al., 2007 [ |
MS |
|
|
Mori, F. |
MS |
|
|
Jongen, P. et al., 2014 [ |
MS |
|
EDSS
|
Vacaras, V. et al., 2014 [ |
MS |
|
|
Fricksa-Nagy, Z. et al., 2016 [ |
MS |
|
MFIS GA–b vs. GA–6 months [mean ± SD]:
|
Meca-Lallana, J. et al., 2016 [ |
MS |
|
GA—b vs. GA—2 years
|
Ziemssen, T. et al., 2016 [ |
MS |
|
BICAMS GA—b vs. GA—12 months [mean ± SD]:
|
Cinar, B. et al., 2017 [ |
MS |
|
|
Sazonov, D. et al., 2018 [ |
MS |
|
|
Shorobura, M., 2018 [ |
MS |
|
|
Zivadinov, R. et al., 2018 [ |
Participants in the treatment groups of these studies were given 20 mg/s.c./qd of GA (subcutaneous, daily); MS: multiple sclerosis; RMMS: relapsing remitting multiple sclerosis; GA: glatiramer acetate; EDSS: expanded disability status scale; BRBNT: brief repeatable battery of neuropsychological tests; RR: relapse rates; Gd+: gadolinium positive; Gd−: gadolinium negative; HRQoL: (health-related quality of life); iTBS: intermittent theta burst stimulation; BDNF: brain-derived neurotrophic factor; PASAT: paced auditory serial addition test; MRI: magnetic resonance imaging; LTP: long-term plasticity; DMT: disease-modifying therapy; MSFC: multiple sclerosis functional composite; MFIS: modified fatigue impact scale; MoCA: Montreal cognitive assessment; MSQoL-54: multiple sclerosis quality of life-54; BDI: Beck depression inventory; INF-β: Interferon-β; WPAIQ: work productivity and activity impairment questionnaire; MSIS-29: multiple sclerosis impact scale-29; MSIC: multiple sclerosis inventory cognitive scale; CES-D: Center for Epidemiological Status-Depression; FAMS: functional assessment of multiple sclerosis; FSMC: fatigue scale for motor and cognition; MUSIC: multiple sclerosis inventory cognition; BICAMS: brief international cognitive assessment for multiple sclerosis; w/o: without; SD-OCT: spectral domain—optical coherence tomography; RNFLT: retinal nerve fiber layer thickness; TMV: total macular volume; SD: standard deviation.
Clinical Trials and an Animal Model Examining Alternative Outcome of Glatiramer Acetate Treatment in Ophthalmological Patients.
Disease State | Research Design and Methodology | Findings | Ref. |
---|---|---|---|
AMD |
|
|
Landa, G. et al., 2008 [ |
Glaucoma (animal model) |
|
|
Bakalash et al., 2011 [ |
AMD |
|
|
Landa et al., 2011 [ |
Glaucoma |
|
|
Fan et al., 2019 [ |
AMD |
|
|
Gu, B. et al., 2021 [ |
Participants in the treatment group of these studies were given GA 20 mg/s.c./qw (weekly); AMD: age-related macular degeneration; TDA: total drusen area; iAMD: intermediate adult-onset macular degeneration; lAMD: late adult-onset macular degeneration; IOP: intraocular pressure; RGC: retinal ganglion cell.
Clinical Trials Examining Alternative Glatiramer Acetate Uses in Amyotrophic Lateral Sclerosis Patients.
Disease State | Research Design and Methodology | Findings | Ref. |
---|---|---|---|
ALS |
|
|
Gordon, P. et al., 2006 [ |
ALS |
|
|
Mosley, R. et al., 2007 [ |
Participants in the treatment groups of these studies received 20 mg/s.c.; Monthly plasma samples obtained in ALS models; ELISA and flow cytometry utilized to assess for immune responses; ALS: amyotrophic lateral sclerosis; qd: daily; q2w: biweekly; Th1: T-helper 1 cells; T-helper 2 cells; IL -4: Interleukin-4; IL-10: Interleukin-10.
Animal Studies Examining Alternative Glatiramer Acetate Outcomes in Multiple Sclerosis.
Disease Model | Research Model and |
Findings | Ref. |
---|---|---|---|
MS |
|
|
Herges, K. et al., 2011 [ |
MS |
|
|
LoPresti, P. 2015 [ |
MS |
|
|
Eilam, R. et al., 2018 [ |
MS |
|
|
Aharoni, R. et al., 2019 [ |
MS |
|
GA and combo treatment vs. placebo
|
Li, A. et al., 2019 [ |
EAE: Experimental Autoimmune Encephalomyelitis; EAE model used to induce MS-like state in all studies. Test subjects were administered 200–250 μg/s.c./qd, unless otherwise specified; MS: multiple sclerosis; m&f: male and female; MOG: myelin oligodendrocyte protein; s.c.: subcutaneous; q2d: every 2 days; EGCG: Epigallocatechin 3-Gallate; LSS: Longa scoring scale; IHC: immunohistochemistry; EM: electron microscopy; ELISA: enzyme-linked immunosorbent assay; BDNF: brain-derived neurotrophic factor; qd: daily; CMT: cross-maze test; GM-CSF: granulocyte–macrophage colony-stimulating factor; DNMSTM: delayed non-matching to sample T-maze; ABAH: 4-aminobenzoic acid hydrazide; MRI: magnetic resonance imaging; MPO: Myeloperoxidase; Gd+: gadolinium positive.
Animal Studies Examining Alternative Uses of Glatiramer Acetate in Amyotrophic Lateral Sclerosis.
Disease Model | Research Model and Methodology | Findings | Ref. |
---|---|---|---|
ALS |
|
|
Angelov, D. et al., 2003 [ |
ALS |
|
|
Habisch, H. et al., 2007 [ |
ALS |
|
|
Haenggeli, C. et al., 2007 [ |
Animals in the treatment groups received 100 μg/s.c./qw unless otherwise specified; ALS: amyotrophic lateral sclerosis; SOD1: superoxide dismutase 1; tg: transgenic; RWA: running wheel activity; HMW: high molecular weight.
Animal Studies Examining Alternative Uses of Glatiramer Acetate in Alzheimer’s Disease.
Disease Model | Research Model and Methodology | GA Effects/Findings | Ref. |
---|---|---|---|
AD |
|
|
Frenkel, D. et al., 2005 [ |
AD |
|
|
Butovsky, O. et al., 2006 [ |
AD |
|
|
Butovsky, O. et al., 2007 [ |
AD |
|
GA vs. controls, mice and rats
|
Bakalash, S. et al., 2011 [ |
AD |
|
GA vs. controls
|
Koronyo, Y. et al., 2015 [ |
AD |
|
|
Baruch et al., 2015 [ |
AD |
|
GA vs. controls
|
Rentsendorj, A. et al., 2018 [ |
AD |
|
GA vs. controls
|
Doustar, J. et al., 2020 [ |
AD |
|
GA vs. controls
|
Li, S. et al., 2020 [ |
AD |
|
|
Dionisio-Santos, D. et al., 2021 [ |
All studies utilized transgenic models of AD. Animals in the treatment groups received 100 μg/s.c./qw, unless otherwise specified; AD: Alzheimer’s disease; Aβ: Aβ; MWMT: Morris water maze test; RAWM: radical arm water maze; SGZ: subgranular zone; m: male; qm: monthly; BMT: Barnes maze test; MΦBM: bone-marrow-derived monocytes/macrophages; DG: dentate gyrus; MEA: multi-electrode analysis; f/oAβ42: fibrillar/oligomeric Aβ42; IOP: intraocular pressure; RT-PCR: real time-polymerase chain reaction; WB: Western blot; EGR1: early growth response gene 1; MMP9: matrix metallopeptidase 9; FAD—familial Alzheimer’s disease; DT—diphtheria toxin. ** CD115+ MoBM: Adoptive transfer of CD115+ bone-marrow-derived monocytes isolated from 8- to 10-week-old GFP-labelled C57BL/6 mice. MΦBM: bone-marrow-derived monocytes/macrophages isolated from 8- to 10-week-old C57BL/6 mice injected monthly for 2 months. Murine models (listed age is at the start of the experiment): * Double-transgenic amyloid precursor protein (APP) barring the Swedish FAD mutations (K595N, M596L) + presenilin 1 (PS1) with deletion in exon 9 mice, called APPSWE/PS1ΔE9 on C57/BL6-SJL background. @ The APPSWE/PS1ΔE9 on C57BL/6 background [B6.Cg-Tg (APPswe, PSEN1dE9) 85Dbo/J mouse strain]. # Chimeric APPSWE/PS1ΔE9 on C57BL/6 background after lethal whole-body irradiation and reconstitution with 5 × 106 bone marrow cells isolated from 2-month-old C57BL/6 J-CD11cDTR–GFP mice. The latter is a transgenic CD11cDTR–GFP mouse, carrying a transgene encoding a human diphtheria toxin receptor (DTR)–green fluorescent protein (GFP) fusion protein under control of the murine CD11c promoter [
Animal Studies Examining Alternative Uses of Glatiramer Acetate in Parkinson’s Disease.
Disease Model | Research Model and Methodology | Findings | Ref. |
---|---|---|---|
PD |
|
|
Laurie, C. et al., 2007 [ |
PD |
|
GA vs. controls
|
Churchill, M. et al., 2019 [ |
All studies utilized the MPTP PD model; MPTP: 1-Methyl-1,2,3,6-Tetrahydropyridine; TH: Tyrosine Hydroxylase; PD: Parkinson Disease; SN: Substantia Nigra.
Animal Studies Examining Alternative Uses of Glatiramer Acetate in Huntington’s Disease.
Disease Model | Research Model and Methodology | Findings | Ref. |
---|---|---|---|
HD |
|
GA vs. controls
|
Corey-Bloom, C. et al., 2014 [ |
HD |
|
GA vs. controls
|
Reick, C. et al., 2016 [ |
HD |
|
GA vs. controls
|
Corey-Bloom, J. et al., 2017 [ |
All studies utilized the SOD1-induced HD model; HD: Huntington’s disease; OFBA: open field behavioral analysis; ATM: alternating T-maze.
Animal Studies Examining Alternative Uses of Glatiramer Acetate in Neuropsychology.
Disease Model | Research Model and Methodology | Findings | Ref. |
---|---|---|---|
Psych |
|
|
Kipnis, J. et al., 2004 [ |
Neuro
|
|
|
He, F. et al., 2014 [ |
Neuro
|
|
OFBA and OIPT [
|
Pascuan, G. et al., 2015 [ |
Neuro
|
|
GA vs. control
|
Mohammadi, F. et al., 2016 [ |
Test subjects in the treatment group received 100 μg/s.c., unless otherwise specified; Neuropsych: Neuropsychology; Psych: Psychology; SCID: severe combined immunodeficiency; MK-80: dizocilpine maleate; AMPH: d-amphetamine sulfate; PPI: pre-pulse inhibition; MWMT: Morris water maze test; CMS: chronic mild stress; OFBA: open field behavioral analysis; OIPT: object in place test; NOS: nitrous oxide; ROS: reactive oxygen species; LPS: lipopolysaccharide; YMT: Y-maze test; PAT: passive avoidance task.
Animal Studies Examining Alternative Uses of Glatiramer Acetate in Vascular Dementia and Central Nervous System Ischemia.
Disease Model | Research Model and Methodology | Findings | Ref. |
---|---|---|---|
CNSi |
|
|
Ibarra, A. et al., 2007 [ |
CNSi |
|
MWMT, GA vs. control
|
Chen, L. et al., 2015 [ |
CNSi |
|
GA vs. control [mean ± SD]
|
Cruz, Y. et al., 2015 [ |
CNSi |
|
GA vs. control
|
Cruz, Y. et al., 2018 [ |
CNSi |
|
GA vs. control
|
Mangin, G. et al., 2019 [ |
Test subjects in the treatment group received 200 μg/s.c./qw, unless otherwise specified; VD: vascular dementia; CNSi: central nervous system ischemia; pMCAo: permanent middle cerebral artery occlusion; q3d: every 3 days; SVZ: subventricular zone; SGZ: subgranular zone; DG: dentate gyrus; tMCAo: temporary middle cerebral artery occlusion.
References
1. Keith, A.B.; Arnon, R.; Teitelbaum, D.; Caspary, E.A.; Wisniewski, H.M. The effect of Cop 1, a synthetic polypeptide, on chronic relapsing experimental allergic encephalomyelitis in guinea pigs. J. Neurol. Sci.; 1979; 42, pp. 267-274. [DOI: https://dx.doi.org/10.1016/0022-510X(79)90058-3]
2. Wagner, C.A.; Roqué, P.J.; Mileur, T.R.; Liggitt, D.; Goverman, J.M. Myelin-specific CD8+ T cells exacerbate brain inflammation in CNS autoimmunity. J. Clin. Investig.; 2020; 130, pp. 203-213. [DOI: https://dx.doi.org/10.1172/JCI132531]
3. Teitelbaum, D.; Meshorer, A.; Hirshfeld, T.; Arnon, R.; Sela, M. Suppression of experimental allergic encephalomyelitis by a synthetic polypeptide. Eur. J. Immunol.; 1971; 1, pp. 242-248. [DOI: https://dx.doi.org/10.1002/eji.1830010406] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/5157960]
4. Campos-García, V.R.; Herrera-Fernández, D.; Espinosa-de La Garza, C.E.; González, G.; Vallejo-Castillo, L.; Avila, S.; Muñoz-García, L.; Medina-Rivero, E.; Pérez, N.O.; Gracia-Mora, I. et al. Process signatures in glatiramer acetate synthesis: Structural and functional relationships. Sci. Rep.; 2017; 7, 12125. [DOI: https://dx.doi.org/10.1038/s41598-017-12416-1] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/28935954]
5. Rommer, P.S.; Milo, R.; Han, M.H.; Satyanarayan, S.; Sellner, J.; Hauer, L.; Illes, Z.; Warnke, C.; Laurent, S.; Weber, M.S. et al. Immunological Aspects of Approved MS Therapeutics. Front. Immunol.; 2019; 10, 1564. [DOI: https://dx.doi.org/10.3389/fimmu.2019.01564] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/31354720]
6. Bell, C.; Anderson, J.; Ganguly, T.; Prescott, J.; Capila, I.; Lansing, J.C.; Sachleben, R.; Iyer, M.; Fier, I.; Roach, J. et al. Development of Glatopa® (Glatiramer Acetate): The First FDA-Approved Generic Disease-Modifying Therapy for Relapsing Forms of Multiple Sclerosis. J. Pharm. Pract.; 2018; 31, pp. 481-488. [DOI: https://dx.doi.org/10.1177/0897190017725984] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/28847230]
7. Leray, E.; Moreau, T.; Fromont, A.; Edan, G. Epidemiology of multiple sclerosis. Rev. Neurol.; 2016; 172, pp. 3-13. [DOI: https://dx.doi.org/10.1016/j.neurol.2015.10.006] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/26718593]
8. Kamińska, J.; Koper, O.M.; Piechal, K.; Kemona, H. Multiple sclerosis-etiology and diagnostic potential. Postepy Hig. Med. Dosw.; 2017; 71, pp. 551-563. [DOI: https://dx.doi.org/10.5604/01.3001.0010.3836]
9. Yong, V.W. Differential mechanisms of action of interferon-β and glatiramer acetate in MS. Neurology; 2002; 59, pp. 802-808. [DOI: https://dx.doi.org/10.1212/WNL.59.6.802]
10. Caragnano, M.; Tortorella, P.; Bergami, A.; Ruggieri, M.; Livrea, P.; Specchio, L.M.; Martino, G.; Trojano, M.; Furlan, R.; Avolio, C. Monocytes P2X7 purinergic receptor is modulated by glatiramer acetate in multiple sclerosis. J. Neuroimmunol.; 2012; 245, pp. 93-97. [DOI: https://dx.doi.org/10.1016/j.jneuroim.2012.02.002]
11. Aharoni, R. The mechanism of action of glatiramer acetate in multiple sclerosis and beyond. Autoimmun. Rev.; 2013; 12, pp. 543-553. [DOI: https://dx.doi.org/10.1016/j.autrev.2012.09.005] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/23051633]
12. Aharoni, R. Immunomodulation neuroprotection and remyelination—The fundamental therapeutic effects of glatiramer acetate: A critical review. J. Autoimmun.; 2014; 54, pp. 81-92. [DOI: https://dx.doi.org/10.1016/j.jaut.2014.05.005] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/24934599]
13. Arnon, R.; Aharoni, R. Glatiramer Acetate: From Bench to Bed and Back. Isr. Med Assoc. J.; 2019; 21, pp. 151-157. [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/30905097]
14. Rostami, A.; Ciric, B. Role of Th17 cells in the pathogenesis of CNS inflammatory demyelination. J. Neurol. Sci.; 2013; 333, pp. 76-87. [DOI: https://dx.doi.org/10.1016/j.jns.2013.03.002]
15. Romagnani, S. Th1/Th2 Cells. Inflamm. Bowel Dis.; 1999; 5, pp. 285-294. [DOI: https://dx.doi.org/10.1097/00054725-199911000-00009]
16. Aharoni, R.; Eilam, R.; Schottlender, N.; Radomir, L.; Leistner-Segal, S.; Feferman, T.; Hirsch, D.; Sela, M.; Arnon, R. Glatiramer acetate increases T- and B -regulatory cells and decreases granulocyte-macrophage colony-stimulating factor (GM-CSF) in an animal model of multiple sclerosis. J. Neuroimmunol.; 2020; 345, 577281. [DOI: https://dx.doi.org/10.1016/j.jneuroim.2020.577281]
17. Melnikov, M.; Sharanova, S.; Sviridova, A.; Rogovskii, V.; Murugina, N.; Nikolaeva, A.; Dagil, Y.; Murugin, V.; Ospelnikova, T.; Boyko, A. et al. The influence of glatiramer acetate on Th17-immune response in multiple sclerosis. PLoS ONE; 2020; 15, e0240305. [DOI: https://dx.doi.org/10.1371/journal.pone.0240305]
18. Butovsky, O.; Koronyo-Hamaoui, M.; Kunis, G.; Ophir, E.; Landa, G.; Cohen, H.; Schwartz, M. Glatiramer acetate fights against Alzheimer’s disease by inducing dendritic-like microglia expressing insulin-like growth factor 1. Proc. Natl. Acad. Sci. USA; 2006; 103, pp. 11784-11789. [DOI: https://dx.doi.org/10.1073/pnas.0604681103]
19. Kala, M.; Miravalle, A.; Vollmer, T. Recent insights into the mechanism of action of glatiramer acetate. J. Neuroimmunol.; 2011; 235, pp. 9-17. [DOI: https://dx.doi.org/10.1016/j.jneuroim.2011.01.009]
20. Ziemssen, T.; Kümpfel, T.; Schneider, H.; Klinkert, W.E.; Neuhaus, O.; Hohlfeld, R. Secretion of brain-derived neurotrophic factor by glatiramer acetate-reactive T-helper cell lines: Implications for multiple sclerosis therapy. J. Neurol. Sci.; 2005; 233, pp. 109-112. [DOI: https://dx.doi.org/10.1016/j.jns.2005.03.010]
21. Lalive, P.H.; Neuhaus, O.; Benkhoucha, M.; Burger, D.; Hohlfeld, R.; Zamvil, S.S.; Weber, M.S. Glatiramer Acetate in the Treatment of Multiple Sclerosis: Emerging concepts regarding its mechanism of action. CNS Drugs; 2011; 25, pp. 401-414. [DOI: https://dx.doi.org/10.2165/11588120-000000000-00000] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/21476611]
22. Pul, R.; Morbiducci, F.; Škuljec, J.; Skripuletz, T.; Singh, V.; Diederichs, U.; Garde, N.; Voss, E.V.; Trebst, C.; Stangel, M. Glatiramer Acetate Increases Phagocytic Activity of Human Monocytes In Vitro and in Multiple Sclerosis Patients. PLoS ONE; 2012; 7, e51867. [DOI: https://dx.doi.org/10.1371/journal.pone.0051867] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/23284793]
23. Pul, R.; Moharregh-Khiabani, D.; Škuljec, J.; Skripuletz, T.; Garde, N.; Voß, E.V.; Stangel, M. Glatiramer Acetate Modulates TNF-α and IL-10 Secretion in Microglia and Promotes Their Phagocytic Activity. J. Neuroimmune Pharmacol.; 2011; 6, pp. 381-388. [DOI: https://dx.doi.org/10.1007/s11481-010-9248-1] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/21046275]
24. Gu, B.J.; Huang, X.; Avula, P.K.; Caruso, E.; Drysdale, C.; Vessey, K.A.; Ou, A.; Fowler, C.; Liu, T.-H.; Lin, Y. et al. Deficits in Monocyte Function in Age Related Macular Degeneration: A Novel Systemic Change Associated With the Disease. Front. Med.; 2021; 8, 634177. [DOI: https://dx.doi.org/10.3389/fmed.2021.634177]
25. Kalincik, T.; Diouf, I.; Sharmin, S.; Malpas, C.; Spelman, T.; Horakova, D.; Havrdova, E.K.; Trojano, M.; Izquierdo, G.; Lugaresi, A. et al. Effect of Disease-Modifying Therapy on Disability in Relapsing-Remitting Multiple Sclerosis Over 15 Years. Neurology; 2021; 96, pp. e783-e797. [DOI: https://dx.doi.org/10.1212/WNL.0000000000011242]
26. Burger, D.; Molnarfi, N.; Weber, M.S.; Brandt, K.J.; Benkhoucha, M.; Gruaz, L.; Chofflon, M.; Zamvil, S.S.; Lalive, P.H. Glatiramer acetate increases IL-1 receptor antagonist but decreases T cell-induced IL-1β in human monocytes and multiple sclerosis. Proc. Natl. Acad. Sci. USA; 2009; 106, pp. 4355-4359. [DOI: https://dx.doi.org/10.1073/pnas.0812183106]
27. Nicoletti, F.; Patti, F.; DiMarco, R.; Zaccone, P.; Nicoletti, A.; Meroni, P.; Reggio, A. irculating serum levels of IL-1ra in patients with relapsing remitting multiple sclerosis are normal during remission phases but significantly increased either during exacerbations or in response to IFN-β treatment. Cytokine; 1996; 8, pp. 395-400. [DOI: https://dx.doi.org/10.1006/cyto.1996.0054]
28. Colonna, M.; Butovsky, O. Microglia Function in the Central Nervous System During Health and Neurodegeneration. Annu. Rev. Immunol.; 2017; 35, pp. 441-468. [DOI: https://dx.doi.org/10.1146/annurev-immunol-051116-052358]
29. Chen, Z.; Trapp, B.D. Microglia and neuroprotection. J. Neurochem.; 2016; 136, (Suppl. 1), pp. 10-17. [DOI: https://dx.doi.org/10.1111/jnc.13062]
30. Prod’Homme, T.; Zamvil, S.S. The Evolving Mechanisms of Action of Glatiramer Acetate. Cold Spring Harb. Perspect. Med.; 2019; 9, a029249. [DOI: https://dx.doi.org/10.1101/cshperspect.a029249]
31. Blanchette, F.; Neuhaus, O. Glatiramer Acetate: Evidence for a dual mechanism of action. J. Neurol.; 2008; 255, (Suppl. 1), pp. 26-36. [DOI: https://dx.doi.org/10.1007/s00415-008-1005-5] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/18317674]
32. Koronyo, Y.; Salumbides, B.C.; Sheyn, J.; Pelissier, L.; Li, S.; Ljubimov, V.; Moyseyev, M.; Daley, D.; Fuchs, D.-T.; Pham, M. et al. Therapeutic effects of glatiramer acetate and grafted CD115+ monocytes in a mouse model of Alzheimer’s disease. Brain; 2015; 138, pp. 2399-2422. [DOI: https://dx.doi.org/10.1093/brain/awv150] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/26049087]
33. Scorisa, J.M.; Zanon, R.G.; Freria, C.M.; de Oliveira, A.L.R. Glatiramer acetate positively influences spinal motoneuron survival and synaptic plasticity after ventral root avulsion. Neurosci. Lett.; 2009; 451, pp. 34-39. [DOI: https://dx.doi.org/10.1016/j.neulet.2008.12.017] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/19103252]
34. Leal, G.; Bramham, C.R.; Duarte, C.B. BDNF and Hippocampal Synaptic Plasticity. Vitam. Horm.; 2017; 104, pp. 153-195. [DOI: https://dx.doi.org/10.1016/bs.vh.2016.10.004] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/28215294]
35. Vacaras, V.; Major, Z.Z.; Muresanu, D.F.; Krausz, T.L.; Marginean, I.; Buzoianu, D.A. Effect of Glatiramer Acetate on Peripheral Blood Brain-Derived Neurotrophic Factor and Phosphorylated TrkB Levels in Relapsing- Remitting Multiple Sclerosis. CNS Neurol. Disord.-Drug Targets; 2014; 13, pp. 647-651. [DOI: https://dx.doi.org/10.2174/1871527313666140618110049]
36. Noseworthy, J.H.; Vandervoort, M.K.; Wong, C.J.; Ebers, G.C. Interrater variability with the Expanded Disability Status Scale (EDSS) and Functional Systems (FS) in a multiple sclerosis clinical trial. Neurology; 1990; 40, pp. 971-975. [DOI: https://dx.doi.org/10.1212/WNL.40.6.971] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/2189084]
37. De Vries, H.; Van Houte, L.R.; Lindeboom, J.; Van Eijk, J.T.; De Haan, M. Paced addition. A neuropsychological test for assessment of divided attention. Tijdschr. Gerontol. Geriatr.; 1992; 23, pp. 147-156.
38. Weinstein, A.; Schwid, S.I.L.; Schiffer, R.B.; McDermott, M.P.; Giang, D.W.; Goodman, A.D. Neuropsychologic Status in Multiple Sclerosis After Treatment With Glatiramer. Arch. Neurol.; 1999; 56, pp. 319-324. [DOI: https://dx.doi.org/10.1001/archneur.56.3.319]
39. Boringa, J.B.; Lazeron, R.H.; Reuling, I.E.; Adèr, H.J.; Pfennings, L.E.; Lindeboom, J.; De Sonneville, L.M.; Kalkers, N.F.; Polman, C.H. The Brief Repeatable Battery of Neuropsychological Tests: Normative values allow application in multiple sclerosis clinical practice. Mult. Scler.; 2001; 7, pp. 263-267. [DOI: https://dx.doi.org/10.1177/135245850100700409]
40. Schwid, S.R.; Goodman, A.D.; Weinstein, A.; McDermott, M.P.; Johnson, K.P.; Copaxone Study, G. Cognitive function in relapsing multiple sclerosis: Minimal changes in a 10-year clinical trial. J. Neurol. Sci.; 2007; 255, pp. 57-63. [DOI: https://dx.doi.org/10.1016/j.jns.2007.01.070]
41. Suppa, A.; Marsili, L.; Di Stasio, F.; Latorre, A.; Parvez, A.K.; Colosimo, C.; Berardelli, A. Primary motor cortex long-term plasticity in multiple system atrophy. Mov. Disord.; 2014; 29, pp. 97-104. [DOI: https://dx.doi.org/10.1002/mds.25668] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/24114982]
42. Mori, F.; Kusayanagi, H.; Buttari, F.; Nicoletti, C.G.; Bernardi, G.; Centonze, D. Glatiramer Acetate Reverses Plasticity and Cognitive Deficits Associated with Acute Inflammation in MS (P04.118). Neurology; 2012; 78, pp. P04.118-P104.118. [DOI: https://dx.doi.org/10.1212/WNL.78.1_MeetingAbstracts.P04.118]
43. Jongen, P.J.; Lehnick, D.; Koeman, J.; Frequin, S.; Heersema, D.; Kornips, B.; Schyns-Soeterboek, A.; Visser, L.H.; Schiphof, P.; Valkenburg, A. et al. Fatigue and health-related quality of life in relapsing-remitting multiple sclerosis after 2 years glatiramer acetate treatment are predicted by changes at 6 months: An observational multi-center study. J. Neurol.; 2014; 261, pp. 1469-1476. [DOI: https://dx.doi.org/10.1007/s00415-014-7363-2]
44. Wingerchuk, D.M.; Carter, J.L. Multiple Sclerosis: Current and Emerging Disease-Modifying Therapies and Treatment Strategies. Mayo Clin. Proc.; 2014; 89, pp. 225-240. [DOI: https://dx.doi.org/10.1016/j.mayocp.2013.11.002]
45. Vacaras, V.; Major, Z.Z.; Seewooram, R.; Major, K.A.; Muresanu, D.F.; Buzoianu, A.D. Disease activity and disability evolution under glatiramer acetate: A clinical approach. Neuropsychopharmacol. Hung.; 2014; 16, pp. 11-18.
46. Fricska-Nagy, Z.; Füvesi, J.; Rózsa, C.; Komoly, S.; Jakab, G.; Csépány, T.; Jobbágy, Z.; Lencsés, G.; Vécsei, L.; Bencsik, K. The effects of fatigue, depression and the level of disability on the health-related quality of life of glatiramer acetate-treated relapsing-remitting patients with multiple sclerosis in Hungary. Mult. Scler. Relat. Disord.; 2016; 7, pp. 26-32. [DOI: https://dx.doi.org/10.1016/j.msard.2016.02.006]
47. Meca-Lallana, J.; Hernández, L.; Caminero, A.B.; Girón, J.M.; Cano-Orgaz, A.; Carcelén-Gadea, M.; Muñoz, D.; Durán-Ferreras, E.; Martín-Hernández, J.; Sanchez-de La Rosa, R. et al. Fatigue Improvement after Switching Multiple Sclerosis Treatment from Interferon-β to Glatiramer Acetate in Clinical Practice. Eur. Neurol.; 2016; 76, pp. 40-47. [DOI: https://dx.doi.org/10.1159/000447630]
48. Penner, I.K.; Raselli, C.; Stöcklin, M.; Opwis, K.; Kappos, L.; Calabrese, P. The Fatigue Scale for Motor and Cognitive Functions (FSMC): Validation of a new instrument to assess multiple sclerosis-related fatigue. Mult. Scler.; 2009; 15, pp. 1509-1517. [DOI: https://dx.doi.org/10.1177/1352458509348519]
49. Ziemssen, T.; Calabrese, P.; Penner, I.-K.; Apfel, R. QualiCOP: Real-world effectiveness, tolerability, and quality of life in patients with relapsing-remitting multiple sclerosis treated with glatiramer acetate, treatment-naïve patients, and previously treated patients. J. Neurol.; 2016; 263, pp. 784-791. [DOI: https://dx.doi.org/10.1007/s00415-016-8058-7]
50. Cinar, B.P.; Kösehasanoğulları, G.; Yigit, P.; Ozakbas, S. Cognitive dysfunction in patients with multiple sclerosis treated with first-line disease-modifying therapy: A multi-center, controlled study using the BICAMS battery. Neurol. Sci.; 2017; 38, pp. 337-342. [DOI: https://dx.doi.org/10.1007/s10072-016-2775-7]
51. Sazonov, D.V.; Babenko, L.A.; Yarmoschuk, A.V.; Didrikh, E.M. An impact of glatiramer acetate (timexon) on the signs of neurodegeneration process in the neuronal layer of the retina in patients with relapsing-remitting multiple sclerosis. Zhurnal Nevrol. Psikhiatrii Im. SS Korsakova; 2018; 118, pp. 25-30. [DOI: https://dx.doi.org/10.17116/jnevro201811812125] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/30698556]
52. Shorobura, M.S. Effect of preventive treatment on cognitive performance in patients with multiple sclerosis. Wiad. Lek.; 2018; 71, pp. 648-652. [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/29783240]
53. Zivadinov, R.; Tavazzi, E.; Hagemeier, J.; Carl, E.; Hojnacki, D.; Kolb, C.; Weinstock-Guttman, B. The Effect of Glatiramer Acetate on Retinal Nerve Fiber Layer Thickness in Patients with Relapsing–Remitting Multiple Sclerosis: A Longitudinal Optical Coherence Tomography Study. CNS Drugs; 2018; 32, pp. 763-770. [DOI: https://dx.doi.org/10.1007/s40263-018-0521-9] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/29767815]
54. Johnson, K.P.; Brooks, B.R.; Cohen, J.A.; Ford, C.C.; Goldstein, J.; Lisak, R.P.; Myers, L.W.; Panitch, H.S.; Rose, J.W.; Schiffer, R.B. Copolymer 1 reduces relapse rate and improves disability in relapsing-remitting multiple sclerosis: Results of a phase III multicenter, double-blind, placebo-controlled trial. Neurology; 1995; 45, pp. 1268-1276. [DOI: https://dx.doi.org/10.1212/WNL.45.7.1268] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/7617181]
55. Feinstein, A.; Magalhaes, S.; Richard, J.-F.; Audet, B.; Moore, C.S. The link between multiple sclerosis and depression. Nat. Rev. Neurol.; 2014; 10, pp. 507-517. [DOI: https://dx.doi.org/10.1038/nrneurol.2014.139] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/25112509]
56. Fragoso, Y.D.; Adoni, T.; Anacleto, A.; Da Gama, P.D.; Goncalves, M.V.M.; Matta, A.P.D.C.; Parolin, M.F.K. Recommendations on diagnosis and treatment of depression in patients with multiple sclerosis. Pract. Neurol.; 2014; 14, pp. 206-209. [DOI: https://dx.doi.org/10.1136/practneurol-2013-000735]
57. Beck, A.T.; Ward, C.H.; Mendelson, M.; Mock, J.; Erbaugh, J. An Inventory for Measuring Depression. Arch. Gen. Psychiatry; 1961; 4, pp. 561-571. [DOI: https://dx.doi.org/10.1001/archpsyc.1961.01710120031004]
58. Nasreddine, Z.S.; Phillips, N.A.; Bédirian, V.; Charbonneau, S.; Whitehead, V.; Collin, I.; Cummings, J.L.; Chertkow, H. The Montreal Cognitive Assessment, MoCA: A Brief Screening Tool For Mild Cognitive Impairment. J. Am. Geriatr. Soc.; 2005; 53, pp. 695-699. [DOI: https://dx.doi.org/10.1111/j.1532-5415.2005.53221.x]
59. Weissman, M.M.; Sholomskas, D.; Pottenger, M.; Prusoff, B.A.; Locke, B.Z. Assessing depressive symptoms in five psychiatric populations: A validation study. Am. J. Epidemiol.; 1977; 106, pp. 203-214. [DOI: https://dx.doi.org/10.1093/oxfordjournals.aje.a112455]
60. Acaster, S.; Swinburn, P.; Wang, C.; Stemper, B.; Beckmann, K.; Knappertz, V.; Pohl, C.; Sandbrink, R.; Gondek, K.; Edan, G. et al. Can the functional assessment of multiple sclerosis adapt to changing needs? A psychometric validation in patients with clinically isolated syndrome and early relapsing–remitting multiple sclerosis. Mult. Scler.; 2011; 17, pp. 1504-1513. [DOI: https://dx.doi.org/10.1177/1352458511414039]
61. Calabrese, P.; Kalbe, E.; Kessler, J. Ein neuropsychologisches Screening zur Erfassung kognitiver Störungen bei MS-Patienten-Das Multiple Sklerose Inventarium Cognition (MUSIC). Psychoneuro; 2004; 30, pp. 384-388. [DOI: https://dx.doi.org/10.1055/s-2004-831083]
62. Hobart, J.; Lamping, D.; Fitzpatrick, R.; Riazi, A.; Thompson, A. The Multiple Sclerosis Impact Scale (MSIS-29): A new patient-based outcome measure. Brain; 2001; 124, pp. 962-973. [DOI: https://dx.doi.org/10.1093/brain/124.5.962] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/11335698]
63. Langdon, D.W.; Amato, M.P.; Boringa, J.; Brochet, B.; Foley, F.; Fredrikson, S.; Hämäläinen, P.; Hartung, H.-P.; Krupp, L.; Penner, I.-K. et al. Recommendations for a Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS). Mult. Scler.; 2012; 18, pp. 891-898. [DOI: https://dx.doi.org/10.1177/1352458511431076]
64. Riegler, K.E.; Cadden, M.; Guty, E.T.; Bruce, J.M.; Arnett, P.A. Perceived Fatigue Impact and Cognitive Variability in Multiple Sclerosis. J. Int. Neuropsychol. Soc.; 2022; 28, pp. 281-291. [DOI: https://dx.doi.org/10.1017/S1355617721000230] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/33785084]
65. Tiftikcioglu, B.I. Multiple Sclerosis Functional Composite (MSFC): Scoring Instructions. Arch. Neuropsychiatry; 2018; 55, pp. S46-S48. [DOI: https://dx.doi.org/10.29399/npa.23330]
66. Tur, C. Fatigue Management in Multiple Sclerosis. Curr. Treat. Options Neurol.; 2016; 18, 26. [DOI: https://dx.doi.org/10.1007/s11940-016-0411-8]
67. Vickrey, B.G.; Hays, R.D.; Harooni, R.; Myers, L.W.; Ellison, G.W. A health-related quality of life measure for multiple sclerosis. Qual. Life Res.; 1995; 4, pp. 187-206. [DOI: https://dx.doi.org/10.1007/BF02260859]
68. McGraw, C.A.; Lublin, F.D. Interferon Beta and Glatiramer Acetate Therapy. Neurotherapeutics; 2013; 10, pp. 2-18. [DOI: https://dx.doi.org/10.1007/s13311-012-0163-4]
69. Reilly, M.C.; Zbrozek, A.S.; Dukes, E.M. The Validity and Reproducibility of a Work Productivity and Activity Impairment Instrument. PharmacoEconomics; 1993; 4, pp. 353-365. [DOI: https://dx.doi.org/10.2165/00019053-199304050-00006]
70. Liu, Y.; Vollmer, T.; Havrdova, E.K.; Riester, K.; Lee, A.; Phillips, G.; Wang, P.; Sabatella, G. Impact of daclizumab versus interferon beta-1a on patient-reported outcomes in relapsing-remitting multiple sclerosis. Mult. Scler. Relat. Disord.; 2017; 11, pp. 18-24. [DOI: https://dx.doi.org/10.1016/j.msard.2016.11.005]
71. Maurino, J.; Martínez-Ginés, M.L.; García-Domínguez, J.M.; Solar, M.D.; Carcelén-Gadea, M.; Ares-Luque, A.; Ballabriga, J.; Navarro-Cantó, L.; Medrano, N.; Honan, C.A. Workplace difficulties, health-related quality of life, and perception of stigma from the perspective of patients with Multiple Sclerosis. Mult. Scler. Relat. Disord.; 2020; 41, 102046. [DOI: https://dx.doi.org/10.1016/j.msard.2020.102046] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/32179482]
72. Bohlouli, J.; Namjoo, I.; Borzoo-Isfahani, M.; Poorbaferani, F.; Moravejolahkami, A.R.; Clark, C.C.T.; Kermani, M.A.H. Modified Mediterranean diet v. traditional Iranian diet: Efficacy of dietary interventions on dietary inflammatory index score, fatigue severity and disability in multiple sclerosis patients. Br. J. Nutr.; 2021; 11, 111. [DOI: https://dx.doi.org/10.1017/S000711452100307X] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/34392854]
73. Melanson, M.; Grossberndt, A.; Klowak, M.; Leong, C.; Frost, E.E.; Prout, M.; Le Dorze, J.-A.; Gramlich, C.; Doupe, M.; Wong, L. et al. Fatigue and Cognition in Patients with Relapsing Multiple Sclerosis Treated with Interferon Beta. Int. J. Neurosci.; 2010; 120, pp. 631-640. [DOI: https://dx.doi.org/10.3109/00207454.2010.511732] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/20942577]
74. Pavan, K.; Schmidt, K.; Marangoni, B.; Mendes, M.F.; Tilbery, C.P.; Lianza, S. Multiple sclerosis: Cross-cultural adaptation and validation of the modified fatigue impact scale. Arq. Neuro-Psiquiatr.; 2007; 65, pp. 669-673. [DOI: https://dx.doi.org/10.1590/S0004-282X2007000400024]
75. Losonczi, E.; Bencsik, K.; Rajda, C.; Lencsés, G.; Török, M.; Vécsei, L. Validation of the Fatigue Impact Scale in Hungarian patients with multiple sclerosis. Qual. Life Res.; 2011; 20, pp. 301-306. [DOI: https://dx.doi.org/10.1007/s11136-010-9749-7]
76. Melamud, L.; Golan, D.; Luboshitzky, R.; Lavi, I.; Miller, A. Melatonin dysregulation, sleep disturbances and fatigue in multiple sclerosis. J. Neurol. Sci.; 2012; 314, pp. 37-40. [DOI: https://dx.doi.org/10.1016/j.jns.2011.11.003]
77. Ozkul, C.; Guclu-Gunduz, A.; Eldemir, K.; Apaydin, Y.; Yazici, G.; Irkec, C. Combined exercise training improves cognitive functions in multiple sclerosis patients with cognitive impairment: A single-blinded randomized controlled trial. Mult. Scler. Relat. Disord.; 2020; 45, 102419. [DOI: https://dx.doi.org/10.1016/j.msard.2020.102419]
78. Capra, R.; Morra, V.B.; Mirabella, M.; Gasperini, C.; Scandellari, C.; Totaro, R.; De Rossi, N.; Masera, S.; Zipoli, V.; Patti, F. et al. Natalizumab is associated with early improvement of working ability in relapsing-remitting multiple sclerosis patients: WANT observational study results. Neurol. Sci.; 2021; 42, pp. 2837-2845. [DOI: https://dx.doi.org/10.1007/s10072-020-04838-z]
79. Nohara, C.; Hase, M.; Liebert, R.; Wu, N. The burden of multiple sclerosis in Japan. J. Med Econ.; 2017; 20, pp. 1290-1298. [DOI: https://dx.doi.org/10.1080/13696998.2017.1373653] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/28849983]
80. Khoy, K.; Mariotte, D.; Defer, G.; Petit, G.; Toutirais, O.; Le Mauff, B. Natalizumab in Multiple Sclerosis Treatment: From Biological Effects to Immune Monitoring. Front. Immunol.; 2020; 11, 549842. [DOI: https://dx.doi.org/10.3389/fimmu.2020.549842]
81. Skorve, E.; Lundervold, A.J.; Torkildsen, Ø.; Myhr, K.-M. A two-year longitudinal follow-up of cognitive performance assessed by BICAMS in newly diagnosed patients with MS. Mult. Scler. Relat. Disord.; 2020; 46, 102577. [DOI: https://dx.doi.org/10.1016/j.msard.2020.102577] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/33296975]
82. Woods, S.P.; Delis, D.C.; Scott, J.C.; Kramer, J.H.; Holdnack, J.A. The California Verbal Learning Test–second edition: Test-retest reliability, practice effects, and reliable change indices for the standard and alternate forms. Arch. Clin. Neuropsychol.; 2006; 21, pp. 413-420. [DOI: https://dx.doi.org/10.1016/j.acn.2006.06.002] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/16843636]
83. Fellows, R.P.; Schmitter-Edgecombe, M. Symbol Digit Modalities Test: Regression-Based Normative Data and Clinical Utility. Arch. Clin. Neuropsychol.; 2019; 35, pp. 105-115. [DOI: https://dx.doi.org/10.1093/arclin/acz020]
84. Tam, J.W.; Schmitter-Edgecombe, M. The Role of Processing Speed in the Brief Visuospatial Memory Test–Revised. Clin. Neuropsychol.; 2013; 27, pp. 962-972. [DOI: https://dx.doi.org/10.1080/13854046.2013.797500] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/23682755]
85. Amato, M.P.; Langdon, D.; Montalban, X.; Benedict, R.H.B.; DeLuca, J.; Krupp, L.B.; Thompson, A.J.; Comi, G. Treatment of cognitive impairment in multiple sclerosis: Position paper. J. Neurol.; 2013; 260, pp. 1452-1468. [DOI: https://dx.doi.org/10.1007/s00415-012-6678-0]
86. Landmeyer, N.C.; Bürkner, P.-C.; Wiendl, H.; Ruck, T.; Hartung, H.-P.; Holling, H.; Meuth, S.G.; Johnen, A. Disease-modifying treatments and cognition in relapsing-remitting multiple sclerosis: A meta-analysis. Neurology; 2020; 94, pp. e2373-e2383. [DOI: https://dx.doi.org/10.1212/WNL.0000000000009522]
87. Von Bismarck, O.; Dankowski, T.; Ambrosius, B.; Hessler, N.; Antony, G.; Ziegler, A.; Hoshi, M.-M.; Aly, L.; Luessi, F.; Groppa, S. et al. Treatment choices and neuropsychological symptoms of a large cohort of early MS. Neurol.-Neuroimmunol. Neuroinflammation; 2018; 5, e446. [DOI: https://dx.doi.org/10.1212/NXI.0000000000000446]
88. Lublin, F.D.; Cofield, S.S.; Cutter, G.R.; Gustafson, T.; Krieger, S.; Narayana, P.A.; Nelson, F.; Salter, A.R.; Wolinsky, J.S. Long-term follow-up of a randomized study of combination interferon and glatiramer acetate in multiple sclerosis: Efficacy and safety results up to 7 years. Mult. Scler. Relat. Disord.; 2017; 18, pp. 95-102. [DOI: https://dx.doi.org/10.1016/j.msard.2017.09.012]
89. Bagert, B.; Camplair, P.; Bourdette, D. Cognitive Dysfunction in Multiple Sclerosis: Natural history, pathophysiology and management. CNS Drugs; 2002; 16, pp. 445-455. [DOI: https://dx.doi.org/10.2165/00023210-200216070-00002]
90. Matsui, Y.; Kondo, M.; Uchiyama, E.; Mityata, R.; Matsubara, H. New clinical ultrahigh-resolution SD-OCT using A-scan matching algorithm. Graefe’s Arch. Clin. Exp. Ophthalmol.; 2019; 257, pp. 255-263. [DOI: https://dx.doi.org/10.1007/s00417-018-4183-6]
91. Schrempf, W.; Ziemssen, T. Glatiramer acetate: Mechanisms of action in multiple sclerosis. Autoimmun. Rev.; 2007; 6, pp. 469-475. [DOI: https://dx.doi.org/10.1016/j.autrev.2007.02.003] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/17643935]
92. Ambati, J.; Anand, A.; Fernandez, S.; Sakurai, E.; Lynn, B.C.; Kuziel, W.A.; Rollins, B.J.; Ambati, B.K. An animal model of age-related macular degeneration in senescent Ccl-2- or Ccr-2-deficient mice. Nat. Med.; 2003; 9, pp. 1390-1397. [DOI: https://dx.doi.org/10.1038/nm950]
93. Landa, G.; Butovsky, O.; Shoshani, J.; Schwartz, M.; Pollack, A. Weekly Vaccination with Copaxone (Glatiramer Acetate) as a Potential Therapy for Dry Age-Related Macular Degeneration. Curr. Eye Res.; 2008; 33, pp. 1011-1013. [DOI: https://dx.doi.org/10.1080/02713680802484637] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/19085384]
94. Landa, G.; Rosen, R.B.; Patel, A.; Lima, V.C.; Tai, K.W.; Perez, V.R.; Aizman, A.; Garcia, P.M. Qualitative Spectral OCT/SLO Analysis of Drusen Change in Dry Age-Related Macular Degeneration Patients Treated with Copaxone. J. Ocul. Pharmacol. Ther.; 2011; 27, pp. 77-82. [DOI: https://dx.doi.org/10.1089/jop.2010.0109]
95. Bakalash, S.; Pham, M.; Koronyo, Y.; Salumbides, B.C.; Kramerov, A.; Seidenberg, H.; Berel, D.; Black, K.L.; Koronyo-Hamaoui, M. Egr1 Expression Is Induced Following Glatiramer Acetate Immunotherapy in Rodent Models of Glaucoma and Alzheimer’s Disease. Investig. Opthalmology Vis. Sci.; 2011; 52, pp. 9033-9046. [DOI: https://dx.doi.org/10.1167/iovs.11-7498]
96. Fan, K.R.; Baskaran, M.; Nongpiur, M.E.; Htoon, H.M.; De Leon, J.M.S.; Perera, S.A.; Belkin, M.; Aung, T. Investigating the neuroprotective effect of Copolymer-1 in acute primary angle closure—Interim report of a randomized placebo-controlled double-masked clinical trial. Acta Ophthalmol.; 2019; 97, pp. e827-e832. [DOI: https://dx.doi.org/10.1111/aos.14099]
97. Gordon, P.H.; Doorish, C.; Montes, J.; Mosley, R.L.; Diamond, B.; MacArthur, R.B.; Weimer, L.H.; Kaufmann, P.; Hays, A.P.; Rowland, L.P. et al. Randomized controlled phase II trial of glatiramer acetate in ALS. Neurology; 2006; 66, pp. 1117-1119. [DOI: https://dx.doi.org/10.1212/01.wnl.0000204235.81272.e2] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/16606934]
98. Mosley, R.L.; Gordon, P.H.; Hasiak, C.M.; Van Wetering, F.J.; Mitsumoto, H.; Gendelman, H.E. Glatiramer acetate immunization induces specific antibody and cytokine responses in ALS patients. Amyotroph. Lateral Scler.; 2007; 8, pp. 235-242. [DOI: https://dx.doi.org/10.1080/17482960701374601] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/17653922]
99. Angelov, D.N.; Waibel, S.; Guntinas-Lichius, O.; Lenzen, M.; Neiss, W.F.; Tomov, T.L.; Yoles, E.; Kipnis, J.; Schori, H.; Reuter, A. et al. Therapeutic vaccine for acute and chronic motor neuron diseases: Implications for amyotrophic lateral sclerosis. Proc. Natl. Acad. Sci. USA; 2003; 100, pp. 4790-4795. [DOI: https://dx.doi.org/10.1073/pnas.0530191100]
100. Meininger, V.; Drory, V.E.; Leigh, P.N.; Ludolph, A.; Robberecht, W.; Silani, V. Glatiramer acetate has no impact on disease progression in ALS at 40 mg/day: A double- blind, randomized, multicentre, placebo-controlled trial. Amyotroph. Lateral Scler.; 2009; 10, pp. 378-383. [DOI: https://dx.doi.org/10.3109/17482960902803432]
101. Butovsky, O.; Landa, G.; Kunis, G.; Ziv, Y.; Avidan, H.; Greenberg, N.; Schwartz, A.; Smirnov, I.; Pollack, A.; Jung, S. et al. Induction and blockage of oligodendrogenesis by differently activated microglia in an animal model of multiple sclerosis. J. Clin. Investig.; 2006; 116, pp. 905-915. [DOI: https://dx.doi.org/10.1172/JCI26836] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/16557302]
102. Herges, K.; Millward, J.M.; Hentschel, N.; Infante-Duarte, C.; Aktas, O.; Zipp, F. Neuroprotective Effect of Combination Therapy of Glatiramer Acetate and Epigallocatechin-3-Gallate in Neuroinflammation. PLoS ONE; 2011; 6, e25456. [DOI: https://dx.doi.org/10.1371/journal.pone.0025456] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/22022398]
103. Kipnis, J.; Cohen, H.; Cardon, M.; Ziv, Y.; Schwartz, M. T cell deficiency leads to cognitive dysfunction: Implications for therapeutic vaccination for schizophrenia and other psychiatric conditions. Proc. Natl. Acad. Sci. USA; 2004; 101, pp. 8180-8185. [DOI: https://dx.doi.org/10.1073/pnas.0402268101] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/15141078]
104. Kiyota, T.; Okuyama, S.; Swan, R.J.; Jacobsen, M.T.; Gendelman, H.E.; Ikezu, T. CNS expression of anti-inflammatory cytokine interleukin-4 attenuates Alzheimer’s disease-like pathogenesis in APP+PS1 bigenic mice. FASEB J.; 2010; 24, pp. 3093-3102. [DOI: https://dx.doi.org/10.1096/fj.10-155317] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/20371618]
105. Doustar, J.; Rentsendorj, A.; Torbati, T.; Regis, G.C.; Fuchs, D.T.; Sheyn, J.; Mirzaei, N.; Graham, S.L.; Shah, P.K.; Mastali, M. et al. Parallels between retinal and brain pathology and response to immunotherapy in old, late-stage Alzheimer’s disease mouse models. Aging Cell; 2020; 19, e13246. [DOI: https://dx.doi.org/10.1111/acel.13246] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/33090673]
106. Constantinescu, C.S.; Farooqi, N.; O’Brien, K.; Gran, B. Experimental autoimmune encephalomyelitis (EAE) as a model for multiple sclerosis (MS). Br. J. Pharmacol.; 2011; 164, pp. 1079-1106. [DOI: https://dx.doi.org/10.1111/j.1476-5381.2011.01302.x]
107. Lopresti, P. Glatiramer Acetate Guards Against Rapid Memory Decline During Relapsing-Remitting Experimental Autoimmune Encephalomyelitis. Neurochem. Res.; 2015; 40, pp. 473-479. [DOI: https://dx.doi.org/10.1007/s11064-014-1491-z]
108. Hamilton, J.A.; Anderson, G.P. GM-CSF Biology. Growth Factors; 2004; 22, pp. 225-231. [DOI: https://dx.doi.org/10.1080/08977190412331279881]
109. Eilam, R.; Segal, M.; Malach, R.; Sela, M.; Arnon, R.; Aharoni, R. Astrocyte disruption of neurovascular communication is linked to cortical damage in an animal model of multiple sclerosis. Glia; 2018; 66, pp. 1098-1117. [DOI: https://dx.doi.org/10.1002/glia.23304]
110. Aharoni, R.; Schottlender, N.; Bar-Lev, D.D.; Eilam, R.; Sela, M.; Tsoory, M.; Arnon, R. Cognitive impairment in an animal model of multiple sclerosis and its amelioration by glatiramer acetate. Sci. Rep.; 2019; 9, 4140. [DOI: https://dx.doi.org/10.1038/s41598-019-40713-4]
111. Li, A.; Wu, Y.; Pulli, B.; Wojtkiewicz, G.R.; Iwamoto, Y.; Wang, C.; Li, J.-H.; Ali, M.; Feng, X.; Yao, Z. et al. Myeloperoxidase Molecular MRI Reveals Synergistic Combination Therapy in Murine Experimental Autoimmune Neuroinflammation. Radiology; 2019; 293, pp. 158-165. [DOI: https://dx.doi.org/10.1148/radiol.2019182492] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/31478802]
112. Lawson, R.; Cross, H.A.; Tambe, J.T. Effects of large and small rewards on maze performance after different prior experiences with reward amounts. J. Comp. Physiol. Psychol.; 1959; 52, pp. 717-720. [DOI: https://dx.doi.org/10.1037/h0039476] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/14414758]
113. Longa, E.Z.; Weinstein, P.R.; Carlson, S.; Cummins, R. Reversible middle cerebral artery occlusion without craniectomy in rats. Stroke; 1989; 20, pp. 84-91. [DOI: https://dx.doi.org/10.1161/01.STR.20.1.84] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/2643202]
114. Markowska, A.L.; Olton, D.S.; Murray, E.A.; Gaffan, D. A comparative analysis of the role of fornix and cingulate cortex in memory: Rats. Exp. Brain Res.; 1989; 74, pp. 187-201. [DOI: https://dx.doi.org/10.1007/BF00248292] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/2924835]
115. Shibata, N. Transgenic mouse model for familial amyotrophic lateral sclerosis with superoxide dismutase-1 mutation. Neuropathology; 2001; 21, pp. 82-92. [DOI: https://dx.doi.org/10.1046/j.1440-1789.2001.00361.x] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/11304046]
116. Habisch, H.-J.; Schwalenstöcker, B.; Danzeisen, R.; Neuhaus, O.; Hartung, H.-P.; Ludolph, A. Limited effects of glatiramer acetate in the high-copy number hSOD1-G93A mouse model of ALS. Exp. Neurol.; 2007; 206, pp. 288-295. [DOI: https://dx.doi.org/10.1016/j.expneurol.2007.05.007]
117. Haenggeli, C.; Julien, J.-P.; Mosley, R.L.; Perez, N.; Dhar, A.; Gendelman, H.E.; Rothstein, J.D. Therapeutic immunization with a glatiramer acetate derivative does not alter survival in G93A and G37R SOD1 mouse models of familial ALS. Neurobiol. Dis.; 2007; 26, pp. 146-152. [DOI: https://dx.doi.org/10.1016/j.nbd.2006.12.013]
118. Zuroff, L.; Daley, D.; Black, K.L.; Koronyo-Hamaoui, M. Clearance of cerebral Aβ in Alzheimer’s disease: Reassessing the role of microglia and monocytes. Cell. Mol. Life Sci.; 2017; 74, pp. 2167-2201. [DOI: https://dx.doi.org/10.1007/s00018-017-2463-7]
119. Koronyo-Hamaoui, M.; Ko, M.K.; Koronyo, Y.; Azoulay, D.; Seksenyan, A.; Kunis, G.; Pham, M.; Bakhsheshian, J.; Rogeri, P.; Black, K.L. et al. Attenuation of AD-like neuropathology by harnessing peripheral immune cells: Local elevation of IL-10 and MMP-9. J. Neurochem.; 2009; 111, pp. 1409-1424. [DOI: https://dx.doi.org/10.1111/j.1471-4159.2009.06402.x]
120. Lassmann, H. Mechanisms of neurodegeneration shared between multiple sclerosis and Alzheimer’s disease. J. Neural Transm.; 2011; 118, pp. 747-752. [DOI: https://dx.doi.org/10.1007/s00702-011-0607-8]
121. Dal Bianco, A.; Bradl, M.; Frischer, J.; Kutzelnigg, A.; Jellinger, K.; Lassmann, H. Multiple sclerosis and Alzheimer’s disease. Ann. Neurol.; 2008; 63, pp. 174-183. [DOI: https://dx.doi.org/10.1002/ana.21240] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/17924575]
122. Pons, V.; Rivest, S. Targeting Systemic Innate Immune Cells as a Therapeutic Avenue for Alzheimer Disease. Pharmacol. Rev.; 2022; 74, pp. 1-17. [DOI: https://dx.doi.org/10.1124/pharmrev.121.000400] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/34987086]
123. Myers, A.; Mcgonigle, P. Overview of Transgenic Mouse Models for Alzheimer’s Disease. Curr. Protoc. Neurosci.; 2019; 89, e81. [DOI: https://dx.doi.org/10.1002/cpns.81] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/31532917]
124. Li, S.; Hayden, E.Y.; Garcia, V.J.; Fuchs, D.-T.; Sheyn, J.; Daley, D.A.; Rentsendorj, A.; Torbati, T.; Black, K.L.; Rutishauser, U. et al. Activated Bone Marrow-Derived Macrophages Eradicate Alzheimer’s-Related Aβ42 Oligomers and Protect Synapses. Front. Immunol.; 2020; 11, 49. [DOI: https://dx.doi.org/10.3389/fimmu.2020.00049]
125. Frenkel, D.; Maron, R.; Burt, D.S.; Weiner, H.L. Nasal vaccination with a proteosome-based adjuvant and glatiramer acetate clears β-amyloid in a mouse model of Alzheimer disease. J. Clin. Investig.; 2005; 115, pp. 2423-2433. [DOI: https://dx.doi.org/10.1172/JCI23241]
126. Dionisio-Santos, D.A.; Karaahmet, B.; Belcher, E.K.; Owlett, L.D.; Trojanczyk, L.A.; Olschowka, J.A.; O’Banion, M.K. Evaluating Effects of Glatiramer Acetate Treatment on Amyloid Deposition and Tau Phosphorylation in the 3xTg Mouse Model of Alzheimer’s Disease. Front. Neurosci.; 2021; 15, 758677. [DOI: https://dx.doi.org/10.3389/fnins.2021.758677]
127. Rentsendorj, A.; Sheyn, J.; Fuchs, D.-T.; Daley, D.; Salumbides, B.C.; Schubloom, H.E.; Hart, N.J.; Li, S.; Hayden, E.Y.; Teplow, D.B. et al. A novel role for osteopontin in macrophage-mediated amyloid-β clearance in Alzheimer’s models. Brain Behav. Immun.; 2018; 67, pp. 163-180. [DOI: https://dx.doi.org/10.1016/j.bbi.2017.08.019]
128. Butovsky, O.; Kunis, G.; Koronyo-Hamaoui, M.; Schwartz, M. Selective ablation of bone marrow-derived dendritic cells increases amyloid plaques in a mouse Alzheimer’s disease model. Eur. J. Neurosci.; 2007; 26, pp. 413-416. [DOI: https://dx.doi.org/10.1111/j.1460-9568.2007.05652.x]
129. Baruch, K.; Rosenzweig, N.; Kertser, A.; Deczkowska, A.; Sharif, A.M.; Spinrad, A.; Tsitsou-Kampeli, A.; Sarel, A.; Cahalon, L.; Schwartz, M. Breaking immune tolerance by targeting Foxp3+ regulatory T cells mitigates Alzheimer’s disease pathology. Nat. Commun.; 2015; 6, 7967. [DOI: https://dx.doi.org/10.1038/ncomms8967]
130. Jung, S.; Unutmaz, D.; Wong, P.; Sano, G.-I.; De los Santos, K.; Sparwasser, T.; Wu, S.; Vuthoori, S.; Ko, K.; Zavala, F. et al. In Vivo Depletion of CD11c+ Dendritic Cells Abrogates Priming of CD8+ T Cells by Exogenous Cell-Associated Antigens. Immunity; 2002; 17, pp. 211-220. [DOI: https://dx.doi.org/10.1016/S1074-7613(02)00365-5]
131. Oddo, S.; Caccamo, A.; Shepherd, J.D.; Murphy, M.P.; Golde, T.E.; Kayed, R.; Metherate, R.; Mattson, M.P.; Akbari, Y.; LaFerla, F.M. Triple-Transgenic Model of Alzheimer’s Disease with Plaques and Tangles: Intracellular Abeta and Synaptic Dysfunction. Neuron; 2003; 39, pp. 409-421. [DOI: https://dx.doi.org/10.1016/S0896-6273(03)00434-3]
132. Barnes, R.H.; Cunnold, S.R.; Zimmermann, R.R.; Simmons, H.; MacLeod, R.B.; Krook, L. Influence of Nutritional Deprivations in Early Life on Learning Behavior of Rats as Measured by Performance in a Water Maze. J. Nutr.; 1966; 89, pp. 399-410. [DOI: https://dx.doi.org/10.1093/jn/89.4.399] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/5950501]
133. Burešová, O.; Bureš, J.; Oitzl, M.S.; Zahálka, A. Radial maze in the water tank: An aversively motivated spatial working memory task. Physiol. Behav.; 1985; 34, pp. 1003-1005. [DOI: https://dx.doi.org/10.1016/0031-9384(85)90028-9]
134. Morris, R. Developments of a water-maze procedure for studying spatial learning in the rat. J. Neurosci. Methods; 1984; 11, pp. 47-60. [DOI: https://dx.doi.org/10.1016/0165-0270(84)90007-4]
135. Churchill, M.J.; Cantu, M.A.; Kasanga, E.A.; Moore, C.; Salvatore, M.F.; Meshul, C.K. Glatiramer Acetate Reverses Motor Dysfunction and the Decrease in Tyrosine Hydroxylase Levels in a Mouse Model of Parkinson’s Disease. Neuroscience; 2019; 414, pp. 8-27. [DOI: https://dx.doi.org/10.1016/j.neuroscience.2019.06.006]
136. Jackson-Lewis, V.; Przedborski, S. Protocol for the MPTP mouse model of Parkinson’s disease. Nat. Protoc.; 2007; 2, pp. 141-151. [DOI: https://dx.doi.org/10.1038/nprot.2006.342]
137. Laurie, C.; Reynolds, A.; Coskun, O.; Bowman, E.; Gendelman, H.E.; Mosley, R.L. CD4+ T cells from Copolymer-1 immunized mice protect dopaminergic neurons in the 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine model of Parkinson’s disease. J. Neuroimmunol.; 2007; 183, pp. 60-68. [DOI: https://dx.doi.org/10.1016/j.jneuroim.2006.11.009]
138. Pallier, P.N.; Drew, C.J.; Morton, A.J. The detection and measurement of locomotor deficits in a transgenic mouse model of Huntington’s disease are task- and protocol-dependent: Influence of non-motor factors on locomotor function. Brain Res. Bull.; 2009; 78, pp. 347-355. [DOI: https://dx.doi.org/10.1016/j.brainresbull.2008.10.007]
139. Corey-Bloom, J.; Aikin, A.M.; Gutierrez, A.M.; Nadhem, J.S.; Howell, T.L.; Thomas, E.A. Beneficial effects of glatiramer acetate in Huntington’s disease mouse models: Evidence for BDNF-elevating and immunomodulatory mechanisms. Brain Res.; 2017; 1673, pp. 102-110. [DOI: https://dx.doi.org/10.1016/j.brainres.2017.08.013] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/28823953]
140. Reick, C.; Ellrichmann, G.; Tsai, T.; Lee, D.-H.; Wiese, S.; Gold, R.; Saft, C.; Linker, R.A. Expression of brain-derived neurotrophic factor in astrocytes—Beneficial effects of glatiramer acetate in the R6/2 and YAC128 mouse models of Huntington’s disease. Exp. Neurol.; 2016; 285, pp. 12-23. [DOI: https://dx.doi.org/10.1016/j.expneurol.2016.08.012] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/27587303]
141. Ryu, J.K.; Kim, J.; Cho, S.J.; Hatori, K.; Nagai, A.; Choi, H.B.; Lee, M.C.; McLarnon, J.G.; Kim, S.U. Proactive transplantation of human neural stem cells prevents degeneration of striatal neurons in a rat model of Huntington disease. Neurobiol. Dis.; 2004; 16, pp. 68-77. [DOI: https://dx.doi.org/10.1016/j.nbd.2004.01.016] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/15207263]
142. Corey-Bloom, J.; Jia, H.; Aikin, A.M.; Thomas, E.A. Disease Modifying Potential of Glatiramer Acetate in Huntington’s Disease. J. Huntingt. Dis.; 2014; 3, pp. 311-316. [DOI: https://dx.doi.org/10.3233/JHD-140110] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/25300334]
143. Guyenet, S.J.; Furrer, S.A.; Damian, V.M.; Baughan, T.D.; La Spada, A.R.; Garden, G.A. A Simple Composite Phenotype Scoring System for Evaluating Mouse Models of Cerebellar Ataxia. J. Vis. Exp.; 2010; 39, e1787. [DOI: https://dx.doi.org/10.3791/1787] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/20495529]
144. Bouchon, R.; Will, B. Effects of post-weaning environment and apparatus dimension on spontaneous alternation as a function of phenotype in “dwarf” mice. Physiol. Behav.; 1983; 30, pp. 213-219. [DOI: https://dx.doi.org/10.1016/0031-9384(83)90008-2]
145. Costall, B.; Naylor, R.J.; Nohria, V. Climbing behaviour induced by apomorphine in mice: A potential model for the detection of neuroleptic activity. Eur. J. Pharmacol.; 1978; 50, pp. 39-50. [DOI: https://dx.doi.org/10.1016/0014-2999(78)90251-0]
146. Meyer, O.A.; Tilson, H.A.; Byrd, W.C.; Riley, M.T. A method for the routine assessment of fore- and hindlimb grip strength of rats and mice. Neurobehav. Toxicol.; 1979; 1, pp. 233-236.
147. Coughenour, L.L.; McLean, J.R.; Parker, R.B. A new device for the rapid measurement of impaired motor function in mice. Pharmacol. Biochem. Behav.; 1977; 6, pp. 351-353. [DOI: https://dx.doi.org/10.1016/0091-3057(77)90036-3]
148. Markel, A.L.; Khusainov, R.A. Method of complex recording of the behavioral and autonomic reactions of rats during conduction of the “open field” test. Zhurnal Vyss. Nervn. Deiatelnosti Im. IP Pavlov.; 1976; 26, pp. 1314-1318.
149. Nonoyama, S.; Ochs, H.D. Immune Deficiency in SCID Mice. Int. Rev. Immunol.; 1996; 13, pp. 289-300. [DOI: https://dx.doi.org/10.3109/08830189609061753]
150. Avni-Magen, N.; Zafrir, B.; King, R.; Bdolah-Abram, T.; Shilo-Benjamini, Y. Immobilization of captive Persian fallow deer (Dama dama mesopotamica) using medetomidine-ketamine or medetomidine-midazolam. Vet. Anaesth. Analg.; 2019; 46, pp. 662-666. [DOI: https://dx.doi.org/10.1016/j.vaa.2019.06.003]
151. Kuypers, K.P.C. Psychedelic medicine: The biology underlying the persisting psychedelic effects. Med. Hypotheses; 2019; 125, pp. 21-24. [DOI: https://dx.doi.org/10.1016/j.mehy.2019.02.029] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/30902145]
152. Louthan, A.; Gray, L.; Gabriele, M.L. Multi-sensory (auditory and somatosensory) pre-pulse inhibition in mice. Physiol. Behav.; 2020; 222, 112901. [DOI: https://dx.doi.org/10.1016/j.physbeh.2020.112901] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/32360813]
153. Jafer, A.; Sylvius, N.; Adewoye, A.B.; Dubrova, Y.E. The long-term effects of exposure to ionising radiation on gene expression in mice. Mutat. Res.; 2020; 821, 111723. [DOI: https://dx.doi.org/10.1016/j.mrfmmm.2020.111723] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/33096319]
154. He, F.; Zou, J.-T.; Zhou, Q.-F.; Niu, D.-L.; Jia, W.-H. Glatiramer acetate reverses cognitive deficits from cranial-irradiated rat by inducing hippocampal neurogenesis. J. Neuroimmunol.; 2014; 271, pp. 1-7. [DOI: https://dx.doi.org/10.1016/j.jneuroim.2014.03.015] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/24713401]
155. Willner, P.; Muscat, R.; Papp, M. Chronic mild stress-induced anhedonia: A realistic animal model of depression. Neurosci. Biobehav. Rev.; 1992; 16, pp. 525-534. [DOI: https://dx.doi.org/10.1016/S0149-7634(05)80194-0]
156. Buhot-Averseng, M.-C. Nest-box choice in the laboratory mouse: Preferences for nest-boxes differing in design (size and/or shape) and composition. Behav. Process.; 1981; 6, pp. 337-384. [DOI: https://dx.doi.org/10.1016/0376-6357(81)90051-6]
157. Pascuan, C.G.; Simon, E.H.; Genaro, A.M.; Palumbo, M.L. Involvement of nitric oxide in improving stress-induced behavioural alteration by glatiramer acetate treatment in female BALB/c mice. Psychopharmacology; 2015; 232, pp. 1595-1605. [DOI: https://dx.doi.org/10.1007/s00213-014-3791-z]
158. Goujon, E.; Parnet, P.; Laye, S.; Combe, C.; Kelley, K.W.; Dantzer, R. Stress Downregulates Lipopolysaccharide-Induced Expression of Proinflammatory Cytokines in the Spleen, Pituitary, and Brain of Mice. Brain Behav. Immun.; 1995; 9, pp. 292-303. [DOI: https://dx.doi.org/10.1006/brbi.1995.1028]
159. Kraeuter, A.-K.; Guest, P.C.; Sarnyai, Z. The Y-Maze for Assessment of Spatial Working and Reference Memory in Mice. Methods Mol. Biol.; 2019; 1916, pp. 105-111. [DOI: https://dx.doi.org/10.1007/978-1-4939-8994-2_10]
160. Tucker, A.R.; Gibbs, M.E.; Stanes, M.D. Cycloheximide and passive avoidance memory in mice: Time-response, dose-response and short-term memory. Pharmacol. Biochem. Behav.; 1976; 4, pp. 441-446. [DOI: https://dx.doi.org/10.1016/0091-3057(76)90061-7]
161. Mohammadi, F.; Rahimian, R.; Fakhraei, N.; Rezayat, S.M.; Javadi-Paydar, M.; Dehpour, A.R.; Afshari, K.; Ejtemaei Mehr, S. Effect of glatiramer acetate on short-term memory impairment induced by lipopolysaccharide in male mice. Fundam. Clin. Pharmacol.; 2016; 30, pp. 347-356. [DOI: https://dx.doi.org/10.1111/fcp.12202] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/27129444]
162. Valko, M.; Leibfritz, D.; Moncol, J.; Cronin, M.T.D.; Mazur, M.; Telser, J. Free radicals and antioxidants in normal physiological functions and human disease. Int. J. Biochem. Cell Biol.; 2007; 39, pp. 44-84. [DOI: https://dx.doi.org/10.1016/j.biocel.2006.07.001] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/16978905]
163. Jeong, Y.J.; Son, Y.; Han, N.-K.; Choi, H.-D.; Pack, J.-K.; Kim, N.; Lee, Y.-S.; Lee, H.-J. Impact of Long-Term RF-EMF on Oxidative Stress and Neuroinflammation in Aging Brains of C57BL/6 Mice. Int. J. Mol. Sci.; 2018; 19, 2103. [DOI: https://dx.doi.org/10.3390/ijms19072103] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/30029554]
164. Ibarra, A.; Avendaño, H.; Cruz, Y. Copolymer-1 (Cop-1) improves neurological recovery after middle cerebral artery occlusion in rats. Neurosci. Lett.; 2007; 425, pp. 110-113. [DOI: https://dx.doi.org/10.1016/j.neulet.2007.08.038]
165. Shekhar, S.; Cunningham, M.W.; Pabbidi, M.R.; Wang, S.; Booz, G.W.; Fan, F. Targeting vascular inflammation in ischemic stroke: Recent developments on novel immunomodulatory approaches. Eur. J. Pharmacol.; 2018; 833, pp. 531-544. [DOI: https://dx.doi.org/10.1016/j.ejphar.2018.06.028] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/29935175]
166. Qi, J.; Rong, Y.; Wang, L.; Xu, J.; Zhao, K. Rab7b Overexpression–Ameliorated Ischemic Brain Damage Following tMCAO Involves Suppression of TLR4 and NF-κB p65. J. Mol. Neurosci.; 2019; 68, pp. 163-170. [DOI: https://dx.doi.org/10.1007/s12031-019-01295-y] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/30911939]
167. Chen, L.; Yao, Y.; Wei, C.; Sun, Y.; Ma, X.; Zhang, R.; Xu, X.; Hao, J. T cell immunity to glatiramer acetate ameliorates cognitive deficits induced by chronic cerebral hypoperfusion by modulating the microenvironment. Sci. Rep.; 2015; 5, 14308. [DOI: https://dx.doi.org/10.1038/srep14308]
168. Cruz, Y.; Lorea, J.; Mestre, H.; Kim-Lee, J.H.; Herrera, J.; Mellado, R.; Gálvez, V.; Cuellar, L.; Musri, C.; Ibarra, A. Copolymer-1 Promotes Neurogenesis and Improves Functional Recovery after Acute Ischemic Stroke in Rats. PLoS ONE; 2015; 10, e0121854. [DOI: https://dx.doi.org/10.1371/journal.pone.0121854]
169. Ibarra, A.; Cruz, Y.; García, E.E.; Gálvez, J.V.; Arias-Santiago, S.V.; Carvajal, H.G.; Silva-García, R.; Bonilla-Jaime, H.; Rojas-Castañeda, J.; Ibarra, A. Release of interleukin-10 and neurotrophic factors in the choroid plexus: Possible inductors of neurogenesis following copolymer-1 immunization after cerebral ischemia. Neural Regen. Res.; 2018; 13, pp. 1743-1752. [DOI: https://dx.doi.org/10.4103/1673-5374.238615]
170. Chiang, T.; Messing, R.O.; Chou, W.-H. Mouse Model of Middle Cerebral Artery Occlusion. J. Vis. Exp.; 2011; 48, e2761. [DOI: https://dx.doi.org/10.3791/2761]
171. Sharp, J.L.; Miller-Cahill, M.E.; Riccio, D.C.; Fountain, S.B. Serial pattern retention in male and female rats. Neurobiol. Learn. Mem.; 2018; 155, pp. 578-582. [DOI: https://dx.doi.org/10.1016/j.nlm.2018.05.018] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/29857047]
172. Luong, T.N.; Carlisle, H.J.; Southwell, A.; Patterson, P.H. Assessment of Motor Balance and Coordination in Mice using the Balance Beam. J. Vis. Exp.; 2011; 49, e2376. [DOI: https://dx.doi.org/10.3791/2376] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/21445033]
173. Matsuura, K.; Kabuto, H.; Makino, H.; Ogawa, N. Pole test is a useful method for evaluating the mouse movement disorder caused by striatal dopamine depletion. J. Neurosci. Methods; 1997; 73, pp. 45-48. [DOI: https://dx.doi.org/10.1016/S0165-0270(96)02211-X]
174. Mangin, G.; Poittevin, M.; Charriaut-Marlangue, C.; Giannesini, C.; Merkoulova-Rainon, T.; Kubis, N. Glatiramer acetate reduces infarct volume in diabetic mice with cerebral ischemia and prevents long-term memory loss. Brain Behav. Immun.; 2019; 80, pp. 315-327. [DOI: https://dx.doi.org/10.1016/j.bbi.2019.04.009]
175. Duncombe, J.; Kitamura, A.; Hase, Y.; Ihara, M.; Kalaria, R.N.; Horsburgh, K. Chronic cerebral hypoperfusion: A key mechanism leading to vascular cognitive impairment and dementia. Closing the translational gap between rodent models and human vascular cognitive impairment and dementia. Clin. Sci.; 2017; 131, pp. 2451-2468. [DOI: https://dx.doi.org/10.1042/CS20160727]
176. Benedek, G.; Meza-Romero, R.; Jordan, K.; Zhang, Y.; Nguyen, H.; Kent, G.; Li, J.; Siu, E.; Frazer, J.; Piecychna, M. et al. MIF and D-DT are potential disease severity modifiers in male MS subjects. Proc. Natl. Acad. Sci. USA; 2017; 114, pp. E8421-E8429. [DOI: https://dx.doi.org/10.1073/pnas.1712288114]
177. Cavalli, E.; Mazzon, E.; Basile, M.S.; Mangano, K.; Di Marco, R.; Bramanti, P.; Nicoletti, F.; Fagone, P.; Petralia, M.C. Upregulated Expression of Macrophage Migration Inhibitory Factor, Its Analogue D-Dopachrome Tautomerase, and the CD44 Receptor in Peripheral CD4 T Cells from Clinically Isolated Syndrome Patients with Rapid Conversion to Clinical Defined Multiple Sclerosis. Medicina; 2019; 55, 667. [DOI: https://dx.doi.org/10.3390/medicina55100667]
178. Günther, S.; Fagone, P.; Jalce, G.; Atanasov, A.G.; Guignabert, C.; Nicoletti, F. Role of MIF and D-DT in immune-inflammatory, autoimmune, and chronic respiratory diseases: From pathogenic factors to therapeutic targets. Drug Discov. Today; 2019; 24, pp. 428-439. [DOI: https://dx.doi.org/10.1016/j.drudis.2018.11.003]
179. Cavalli, E.; Mazzon, E.; Basile, M.S.; Mammana, S.; Pennisi, M.; Fagone, P.; Kalfin, R.; Martinovic, V.; Ivanovic, J.; Andabaka, M. et al. In Silico and In Vivo Analysis of IL37 in Multiple Sclerosis Reveals Its Probable Homeostatic Role on the Clinical Activity, Disability, and Treatment with Fingolimod. Molecules; 2019; 25, 20. [DOI: https://dx.doi.org/10.3390/molecules25010020]
180. Ziemssen, T.; Ashtamker, N.; Rubinchick, S.; Knappertz, V.; Comi, G. Long-term safety and tolerability of glatiramer acetate 20 mg/mL in the treatment of relapsing forms of multiple sclerosis. Expert Opin. Drug Saf.; 2017; 16, pp. 247-255. [DOI: https://dx.doi.org/10.1080/14740338.2017.1274728]
181. Wolinsky, J.S.; Borresen, T.E.; Dietrich, D.W.; Wynn, D.; Sidi, Y.; Steinerman, J.R.; Knappertz, V.; Kolodny, S. GLACIER: An open-label, randomized, multicenter study to assess the safety and tolerability of glatiramer acetate 40 mg three-times weekly versus 20mg daily in patients with relapsing-remitting multiple sclerosis. Mult. Scler. Relat. Disord.; 2015; 4, pp. 370-376. [DOI: https://dx.doi.org/10.1016/j.msard.2015.06.005] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/26195058]
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Abstract
Novel, neuroprotective uses of Copaxone (generic name: glatiramer acetate—GA) are being examined, primarily in neurological conditions involving cognitive decline. GA is a well-studied synthetic copolymer that is FDA-approved for immune-based treatment of relapsing remitting multiple sclerosis (RRMS). Clinical studies have explored the potential mechanism of action (MOA) and outcomes of GA immunization in patients. Furthermore, results from these and animal studies suggest that GA has a direct immunomodulatory effect on adaptive and innate immune cell phenotypes and responses. These MOAs have been postulated to have a common neuroprotective impact in several neuroinflammatory and neurodegenerative diseases. Notably, several clinical studies report that the use of GA mitigated MS-associated cognitive decline. Its propensity to ameliorate neuro-proinflammatory and degenerative processes ignites increased interest in potential alternate uses such as in age-related macular degeneration (AMD), amyotrophic lateral sclerosis (ALS), and Alzheimer’s disease (AD). Preclinical studies are exploring less frequent subcutaneous administration of GA, such as once weekly or monthly or a single dosing regimen. Indeed, cognitive functions were found to be either preserved, reversed, or improved after the less frequent treatment regimens with GA in animal models of AD. In this systematic review, we examine the potential novel uses of GA across clinical and pre-clinical studies, with evidence for its beneficial impact on cognition. Future investigation in large-size, double-blind clinical trials is warranted to establish the impact of GA immunomodulation on neuroprotection and cognitive preservation in various neurological conditions.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details


1 Department of Neurosurgery, Maxine Dunitz Neurosurgical Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA;
2 Department of Neurosurgery, Maxine Dunitz Neurosurgical Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA;