1. Introduction
The brain’s energy demand is high, requiring 20% of the body’s energy supply to maintain and support various processes involved in brain development and functions throughout an individual’s life, including neurogenesis, synaptic plasticity, and all types of behaviors coordinated by brain activity [1,2,3,4,5,6]. Mitochondria are the primary source of cellular energy production and reactive oxygen species (ROS) formation. They regulate calcium signaling and lipid and steroid metabolism, but, most importantly, they are involved in other cellular functions, such as proliferation, apoptosis, and autophagy [7,8,9,10,11,12]. In highly polarized cells like neurons, mitochondria are also present at the synapses to supply energy for synaptic function and balance Ca2+ signals to coordinate synaptic communication. For example, mitochondria in the pre- and post-synaptic compartments are essential for maintaining synaptic activity, producing ATP through oxygen and glucose [3] that can, in part, be used for processes like local protein synthesis [13,14], endocytosis, exocytosis [15], and cytoskeleton remodeling [16]. Alterations in mitochondrial function and morphology could contribute to Fragile X Syndrome (FXS) neuropathology by impairing oxygen supply. Consistently, alterations in mitochondrial homeostasis have been associated with several brain diseases, such as Parkinson’s disease (PD) and Alzheimer’s disease (AD) [7,17], but also with neurodevelopmental disorders such as Autism Spectrum Disorders (ASD), epilepsy, and schizophrenia [18,19,20,21,22,23,24,25,26,27]. Understanding mitochondrial pathogenesis in diseases and applying interventions requires knowing how mitochondrial homeostasis is regulated.
This study aims to address this question by taking advantage of the well-established Drosophila model for FXS [23,28,29]. Despite its simplicity, Drosophila exhibits a wide range of complex behaviors and has well-defined physiological systems, such as a nervous system, cardiovascular system, and digestive system. This allows for comprehensive studies of its development, neurobiology, behavior, and disease status. Therefore, genetic or pharmacological interventions using this model could highlight new therapeutical avenues.
Fragile X Syndrome (FXS) is the most common monogenic cause of ASD [30,31], which is caused by the absence or mutations of Fragile Ribonucleoprotein 1 (FMRP), an RNA-binding protein that acts primarily as a regulator of local protein synthesis at synapses [32]. Clinically, FXS patients present a wide spectrum of symptoms such as developmental delay, hyperactivity, disrupted sleep, social impairments, and intellectual disability [33,34]. Furthermore, post-mortem brain studies using Golgi staining have revealed dendritic spine structural anomalies, suggesting that FMRP regulates synaptic development and plasticity [35]. Using different animal models, independent studies have shown that FMRP plays a role in synaptic transmission and plasticity [36].
dfmr1 is the single homolog of the human gene in the Drosophila genome; dfmr1Δ50 mutants, at both larval and adult stages, present altered locomotor activity associated with altered morphology of the neuromuscular junction (NMJ) and abnormal synaptic transmission [28,37,38,39]. In addition, lack of FMRP leads to an increased number and altered size and distribution of mitochondria at the NMJ level, impairments in mitochondrial plasticity (their ability to dynamically adapt their structure, function, and metabolism in response to various physiological and environmental cues), and polarity in dendrites and axons, respectively, along with elevated mitochondrial membrane proton leak, leading to increased metabolism and changes in protein synthesis [40,41,42,43,44].
In addition to the key role played by the mitochondria, several monoamines regulate NMJ function [45,46,47,48,49,50,51]. For example, serotonin levels were found to be dysregulated in a mouse model for FXS, namely the Fmr1 KO mouse [52]. The selective activation of the 5-HT receptor was shown to ameliorate behavioral deficits such as hyperactivity, abnormal sensorimotor gating, and cognitive impairment. It is well established that modulation of the serotonergic system influences locomotion [47,48,53]. Furthermore, it was shown that dfmr1Δ50 mutant flies present altered levels of serotonin in the brain [54]. 5-HT is a monoamine with a regulatory effect on locomotion and synaptic activity in flies [47,48,55]. Moreover, 5-HT plays an essential role in mitochondrial biogenesis in neurons and other cell types [56] through the mitochondrial master regulator PGC-1α [57,58,59]. These results suggest that the 5-HT–mitochondrial axis dysregulation in FXS could contribute to some of the observed deficits in neuronal plasticity and behavior. The critical role of serotonin in numerous brain functions and its involvement in various neurological and psychiatric disorders make it a significant target for drug development. Here, we assessed the effects of eltoprazine, a 5-HT1A agonist, in the Drosophila model of FXS on behavior, neuronal activity, and neuronal morphology and show how the serotonin pathways affect mitochondrial homeostasis.
2. Results
2.1. dfmr1Δ50 Mutants Have Locomotion Deficits That Are Rescued upon Eltoprazine Treatment
Here we investigated if eltoprazine, an agonist of the 5-HT1A receptor, could ameliorate the deficits in locomotor activity of the dfmr1Δ50 mutant larvae, a behavioral feature that was previously reported [60].
First, we analyzed distance and speed in freely moving crawling larvae as described in [60]. Consistent with previous observations [38,61], the dfmr1Δ50 mutant larvae are less active than the controls (Figure 1A,B). Feeding of dfmr1Δ50 mutant larvae with 1 mM of eltoprazine for 30 min increased the locomotor activity of the mutants compared to the controls (w1118). Of note, the same treatment on the control larvae significantly reduced their locomotion (Figure 1A,B).
2.2. Eltoprazine Restores the Synaptic Transmission at the NMJ of dfmr1Δ50 Mutants
Locomotor defects in dfmr1Δ50 larvae have been associated with altered synaptic function in the neuromuscular junction (NMJ) [28,62]. To explore a potential therapeutical approach, we measured the amplitude and frequency of the spontaneous Excitatory Junctional Potential (sEJP) in both control and dfmr1Δ50 mutant larvae upon eltoprazine treatment. We show that the dfmr1Δ50 mutant exhibits an increased amplitude and frequency of sEJP, and, upon electric stimulation of the NMJ, increased EJP amplitude in comparison with control flies (Figure 2A,C and Figure 2B,D, respective). It is known that 5-HT can directly modulate synaptic transmission at the NMJ [47,48]. Therefore, to test if the modulation of the 5-HT1A receptor can modulate NMJ transmission in the dfmr1Δ50 mutant larvae, we applied eltoprazine acutely to the tissue. Recordings of spontaneous synaptic transmission in the presence of the drug revealed a significant amelioration of the sEJP frequency and partial rescue of the sEJP amplitude in the dfmr1Δ50 mutant larvae (Figure 2C). Moreover, treatment with eltoprazine normalized the evoked EJP of the dfmr1Δ50 mutant larvae to control levels (Figure 2D). These findings indicate that increased synaptic transmission could contribute to reduced larvae locomotion due to improper activation of the muscles and, consequently, uncoordinated muscle contractions. Restoration of synaptic activity with eltoprazine most probably acts by modulating the motoneuronal response to reduce the exaggerated release of glutamate.
2.3. Eltoprazine Restores Mitochondrial Dysregulations in dfmr1Δ50 Mutants
To investigate mitochondrial activity in dfmr1Δ50 mutants based on FMRP regulation of mitochondrial function, morphology, and distribution in mammals [40,41], we measured oxygen consumption in the NMJs as previously described in [23]. We found that dfmr1Δ50 mutants exhibit increased Complex I, Complex II, and electron transport of mitochondrial Oxidative Phosphorylation (OXPHOS) compared to control larvae (Figure 3A). Markedly, eltoprazine treatment normalized the increased mitochondrial activity in dfmr1Δ50 mutant larvae (Figure 3A).
In addition, we analyzed the energy status of the NMJ and found that adenosine triphosphate (ATP) production is increased in dfmr1Δ50 mutant larvae (Figure 3B).
To determine if the increased mitochondrial activity was generated by increased mitochondrial mass, we measured the number and distribution of mitochondria at the synapses of motor neurons. Using the UAS/GAL4 system, we expressed mito-GFP (UAS) under the control of the motor neuron-specific D42 promoter (GAL4) which allows its expression in the motor neurons of the dfmr1Δ50 mutant and control larvae (Figure 4A). Notably, dfmr1Δ50 mutant larvae show increased expression of mito-GFP compared to controls, suggesting an increased number of mitochondria at the synapses of the NMJ (Figure 4A,B). Importantly, treatment with eltoprazine yielded a significant improvement in the quantity of mitochondria at the NMJ (Figure 4A,B). This observation strongly aligns with recent research underscoring the role of serotonin in regulating mitochondrial biogenesis [57,59,63] and supports the hypothesis that a dysregulation of energy metabolism in the NMJ of dfmr1Δ50 mutant larvae may underlie the NMJ synaptic transmission [64,65] and motor impairments in FXS.
2.4. Mitochondrial Biogenesis Regulates Locomotor Behavior in dfmr1Δ50 Mutants
The increased mitochondrial density and activity in dfmr1Δ50 larvae may result from higher mitochondrial biogenesis, potentially regulated by serotonin through PGC1α, which is a target of FMRP [66]. Therefore, we hypothesize that the dfmr1Δ50 larvae have a dysregulation of the serotonin–PGC1α–mitochondrial axis, ultimately affecting motor behavior in this FXS model. To test this hypothesis, we crossed a Drosophila mutant of the homolog of the mammalian PGC1α [67] called Spargel (SrlKG08646) expressing a hypofunctional allele with the dfmr1Δ50 and assessed its locomotor behavior. This double mutant does not exhibit differences in motor behavior compared to control flies (Figure 5A,B). These findings further validate the dysregulation of the serotonin–mitochondrial axis in the NMJ of dfmr1 mutant flies and elucidate the mechanistic effect of eltoprazine.
3. Discussion
Over the past three decades, numerous studies have investigated the pathophysiology of Fragile X syndrome, the most prevalent form of intellectual disability and a monogenic cause of autism [68]. The discovery of many different mechanisms working in neuronal and non-neuronal cells, at synapses, and in the cell body since the human gene FMR1 was identified [69] has highlighted that multiple pathways are affected in FXS. Those identified mechanisms have propelled major efforts leading to more than 50 clinical trials, which unfortunately have not been very successful (
Several pharmacological approaches have been working to tackle the metabotropic glutamate receptors (mGluRs) and the GABAergic system [70], which are considered leading players in FXS pathophysiology [38,71]. However, the unsuccessful clinical trials have highlighted the need to identify new molecules that could be used as targeted therapeutic approaches for specific clinical and behavioral phenotypes.
One promising target is the serotonergic system, which has been implicated in FXS and other neurodevelopmental disorders like autism spectrum disorder (ASD) and Rett syndrome [72,73,74]. Specifically, the 5-HT7A receptor has shown potential as a therapeutic target, with selective activation improving behavioral deficits in FXS mouse models [53,75]. Additionally, the 5-HT1A receptor, which modulates neuronal firing rates, has emerged as a potential target for treating motor deficits in FXS, given its association with neurodevelopmental disorders [53,54,76].
Previous studies demonstrate that eltoprazine, an agonist of the 5-HT1A receptor, can ameliorate dyskinetic movements in parkinsonian rats and monkeys and clinical studies [76,77,78,79,80]. A delay in motor development and problems in motor balance are often among the first notable signs of atypical development in children with FXS or ASD [81]. Specifically, it has been reported that an altered gait pattern associated with abnormal muscle activity in FXS subjects reduced knee and excessive hip and ankle flexion [82]. Hence, targeting 5-HT1A could potentially address certain motor deficits in FXS.
The Drosophila neuromuscular junction (NMJ) is an effective model system for studying synaptic development and function, giving us the advantage of translating physiological observations into behavioral phenotypes such as locomotion.
Consistent with previous findings, our data demonstrate that dfmr1Δ50 mutants show decreased locomotion compared to controls [28,83,84]. Most importantly, upon eltoprazine treatment, the motor deficits of the dfmr1Δ50 mutants were restored, indicating a role of 5-HT1A in modulating motor behavior (Figure 1). Serotonin modulates different aspects of locomotion, like forward locomotion and turning behavior in larvae [47,48,55], which is in line with our findings.
Locomotor behavior is considered a functional readout of synaptic transmission at the NMJ level, which was altered in dfmr1Δ50 larvae [28,83,84]. Intracellular recordings of the NMJ revealed that the frequency and amplitude of the sEJP are increased compared to the controls, indicating dysfunction in both the pre-synaptic and post-synaptic components of the NMJ. Previously, this abnormal synaptic transmission was linked to altered subunit composition of glutamate receptors (GluRs) expressed in the muscles [28,62]. Here, we restored the synaptic transmission upon eltoprazine treatment (Figure 2). The rescue of the frequency of spontaneous activity is generally associated with presynaptic release, which is most probably acting on the soma of the motoneuron upstream of the GluRs. However, we noted only a partial restoration of the sEJP amplitude. This suggests that while this pathway can enhance the function of glutamate receptors, which are predominantly expressed at the Drosophila NMJ, it does not fully address all the synaptic deficits present in the FXS genetic model. This incomplete recovery likely stems from intrinsic defects in the glutamate receptors themselves, additional imbalances in other neurotransmitter systems, or broader abnormalities in synaptic architecture. These findings underscore the multifaceted nature of FXS pathology and highlight the need for a combination of therapeutic strategies to achieve a more comprehensive rescue of synaptic function.
Next, we attempted an initial characterization of the molecular mechanism downstream of the 5-HT1A receptor activity and its modulation by eltoprazine. It was reported that, in a mammalian system, the serotonergic system can modulate not only mitochondrial motility along the axons [85], but also mitochondrial biogenesis (MB) in cortical neurons, through the SIRT1-PGC1α axis [57,86]. In addition, mitochondria play an essential role in the modulation of synaptic transmission in neurons through ATP production and Ca2+ buffering and modulate the mobility of synaptic vesicles and neurotransmitter release [1,87,88]. By expressing mito-GFP in the punctal area (the synaptic level of the NMJ), we found not only an increased mitochondrial population and altered distribution (Figure 4), but also increased mitochondrial activity in dfmr1Δ50 larvae in comparison to the controls (Figure 3). Of note, upon eltoprazine treatment, these phenotypes were comparable to control conditions.
In recent years, mitochondria have emerged as significant contributors to FXS. Loss of FMRP in a mouse model for FXS results in impaired synaptic maturation associated with deficits in mitochondrial fusion [89] and increased mitochondrial activity in the cerebral cortex with preserved ATP production [90]. Moreover, ATP synthase c-subunit leakage in Fragile X is associated with synaptic morphology and behavioral deficits [43].
The increased mitochondrial distribution and activity suggest that the dfmr1 mutants might present with an increased mitochondrial biogenesis, leading to altered motor behavior. In mammals, PGC1 (with three isoforms, PGC1α, PGC1β, and PRC) is a major transcription factor that induces the expression of genes encoding for mitochondrial proteins and regulates mitochondrial biogenesis [67]. The generation of double heterozygous mutants for Spargel, the single homolog of PGC1, and Fmr1 genes shows normal locomotion comparable to control levels (Figure 5). This finding further supports our hypothesis that increased mitochondrial biogenesis leads to heightened mitochondrial activity, resulting in altered synaptic transmission at the NMJ and ultimately contributing to motor deficits in dfmr1 mutant larvae. Of note, PGC1α mRNA has been reported to be a target of FMRP [91,92], therefore the observed alteration may be attributed to excessive translation of this mRNA, which is consistent with FMRP role as a repressor.
In conclusion, we propose a mechanism wherein the activation of the 5-HT1A receptor by eltoprazine modulates mitochondrial biogenesis and activity. By stabilizing mitochondrial function, it reduces neurotransmitter release and synaptic transmission, thereby facilitating proper motor behavior in dfmr1Δ50 larvae. Our study indicates that targeting the 5-HT1A receptor–mitochondrial axis holds promise as a therapeutic approach for alleviating motor deficits in FXS. However, additional research is necessary to assess its viability for human therapeutic intervention.
4. Materials and Methods
4.1. Drosophila Stocks
Homozygous dfmr1 mutant flies, dfmr1Δ50 (Bloomington Drosophila Stock Center, #6930), were used in our study [28]. Flies were cultured in vials containing a standard Drosophila medium at 25 °C with 60–80% humidity in a 12 h light/dark cycle. The Canton-S w1118 (iso1CJ) wild-type line served as a control. The dfmr1Δ50 mutant flies were isogenized for 6 generations with the Cantonized w1118 background. The D42-Gal4 and UAS-mito-GFP flies were kindly provided by Prof. Patrik Verstreken (VIB/KULeuven). Briefly, The UAS-GAL4 system in Drosophila melanogaster enables precise control of gene expression. This system uses two components: the GAL4 gene, which encodes a yeast-derived transcriptional activator, and the UAS (Upstream Activating Sequence). Transgenic flies are created with GAL4 under a tissue-specific or inducible promoter. When these flies are crossed with flies carrying a UAS-linked gene of interest, GAL4 binds to UAS, activating gene transcription. This method allows for spatial and temporal control of gene expression, facilitating studies on gene function, development, and disease models [93]. The Spargel (Srl) mutant flies were a kind gift from Prof. Hugo Stocker (ETH Zurich). Third-instar larvae were used for all the experiments.
4.2. Larval Collection and Treatment
Third-instar larvae were collected by applying a solution of 20% sucrose on top of the food. The collected larvae were rinsed 3 times with 1X PBS at room temperature. Then, the larvae were exposed to eltoprazine hydrochloride (Santa Cruz Biotechnology, Dallas, TX, USA, cat. 98224-03-4) at a final concentration of 1 mM diluted in 5% sucrose solution for at least 30 min as described before [94]. Control larvae were treated with the vehicle in the same solution simultaneously.
For the electrophysiological experiments, a single larva was collected, and a neuromuscular junction (NMJ) fillet was prepared. After the NMJ preparation, the larva was exposed for 30 min to a modified minimal hemolymph-like solution, HL3.1 [95], containing 10 μM of eltoprazine or vehicle before the recording.
4.3. Larval Crawling Behavior
The larval crawling behavior assay was performed as described before [60] with minor modifications. Briefly, a single larva was gently placed in the middle of a 10 cm arena which had been previously filled with 2% agar solution. The larva was allowed to acclimate for 30 s and then recorded with a Basler camera (Basler AG, Ahrensburg, Germany) for 1 min. Speed and distance were acquired and analyzed with EthoVision XT 13 (Noldus, Wageningen, The Netherlands).
4.4. Electrophysiology
Intracellular NMJ recording from third-instar larvae was performed on muscles 5 and 6 in the abdominal segments 2/3/4. The recordings were made at room temperature with sharp glass electrodes filled with 3 M KCl. The nerves were stimulated by a brief (0.5–0.8 ms at 1 Hz) positive current via a suction electrode. The recording bath solution (HL3.1) had the following composition: 110 mM NaCl, 5 mM KCl, 10 mM NaHCO3, 10 mM MgCl2, 30 mM sucrose, 5 mM Trehalose, 5 mM HEPES (pH 7.2), and 1 mM CaCl2. A total of 60 responses were recorded per NMJ and averaged to give each datum. Miniature excitatory junctional potential (mEJP) was recorded for 1–2 min. The recordings were acquired with Clampex 10.7. (Molecular Devices, San Jose, CA, USA). The data were extracted with Clampfit software 10.7 (Molecular Devices, San Jose, CA, USA) and then analyzed with GraphPad Prism 7.03 (Boston, MA, USA).
4.5. Immunohistochemistry, Confocal Microscopy, and Image Analysis
Third-instar larvae carrying the UAS-mito-GFP marker driven by the motor neuron-specific D42-Gal4 driver were quickly dissected in 1X PBS and fixed in 4% formaldehyde for 20 min. Larvae were washed with 1X PBS containing 0.1% Triton X-100 (PBT) and blocked in 10% normal goat serum (NGS) (Sigma-Aldrich, Burlington, MA 01803, USA, cat. G9023) in PBT for 1 h, followed by overnight incubation with primary antibody in 5% NGS in PBT: Rhodamine (TRITC)-conjugated anti-horseradish peroxidase (HRP) (1:500, Jackson ImmunoResearch, West Grove, PA, USA). This dual-conjugated antibody combines the anti-horseradish peroxidase (HRP), that labels neuronal membranes in Drosophila with the tetramethylrhodamine isothiocyanate (TRITC) allowing the direct visualization of the presynaptic terminals of the NMJ. The TRITC component provided a distinct fluorescent signal, facilitating the observation of bouton morphology and distribution under a fluorescence microscope. After the washes in PBT, samples were mounted in Mowiol 4-88 mounting medium and imaged with a Leica SP8 confocal microscope in high-resolution mode (Hyvolution module from Leica) using a 60× oil immersion objective. Pictures were then deconvolved using Huygens 2 software (Scientific Volume Imaging B.V., Hilversum, The Netherlands).
All images analyzed were complete Z-stacks through NMJ 6/7 of abdominal segments A3 and A4. For mitochondrial density analysis, the sum area of the GFP+ puncta (UAS-mito-GFP) inside the synaptic bouton delineated by the TRITC-HRP staining was divided by the area of the synaptic bouton measured by the TRITC-HRP staining.
4.6. Mitochondrial Function Assays
High-resolution respirometry (OROBOROS Oxygraph-2k, Innsbruck, Austria) to measure mitochondrial respiration in Drosophila larvae was used as described before [23]. Ten third-instar larvae were rapidly dissected, removing the tracheal system and the rest of the organs under a microscope, and mechanically homogenized in Miro 6 Buffer (20 mM Hepes, 110 mM sucrose, 10 mM KH2PO4, 20 mM taurine, 60 mM lactobionic acid, 3 mM MgCl2, 0.5 EGTA, pH 7.1, 1 mg/mL fatty acid-free BSA, catalase 280 U/mL) [96], then immediately loaded into an Oroboros Oxygraph-2K chamber filled with Miro 6 buffer equilibrated at 25 °C.
Oxygen consumption rates were measured before and after the addition of the following sequence of substrates and specific inhibitors: (1) A volume of 2.5 mM pyruvate, 1 mM malate in flies, and a mixture of 2.5 mM pyruvate, 10 mM glutamate, and 1 mM malate in human cells (CI leak), followed by 2.5 mM ADP to determine complex I-driven phosphorylating respiration (CI OXPHOS). (2) A volume of 5 mM succinate to determine the phosphorylating respiration driven by complex I and II (CI + II OXPHOS). (3) Titration of the mitochondrial uncoupler CCCP concentrations to reach the maximal, uncoupled respiration (CI + II electron transfer system, ETS). (4) A volume of 200 nM rotenone to fully inhibit complex I-driven respiration and measure complex II-driven uncoupled respiration (CII electron transfer system, CII ETS). (5) A volume of 0.5 µM Antimycin A to block mitochondrial respiration at the level of complex III. (6) A volume of 2 mM ascorbate and 0.5 mM TMPD to measure cytochrome c oxidase (CIV)- driven respiration. Residual oxygen consumption was measured by adding Sodium Azide that blocks cytochrome c oxidase.
ATP levels were measured from third-instar larvae lysates using the ADP/ATP Ratio Bioluminescence Assay Kit, ApoSENSOR (Biovision, Milpitas, CA, USA).
4.7. RNA Extraction and RT-qPCR
Total RNA was extracted from third-instar larvae using Trizol reagent (Invitrogen, Carlsbad, CA, USA) according to the manufacturer’s instructions. cDNA was prepared using M-MLV Reverse Transcriptase (200 U/uL, Invitrogen, Waltham, MA, USA, cat. 28025013) and random primers (Promega, Madison, WI, USA). qPCR was performed on a Light Cycler 96 (Roche, Switzerland) with the SYBR Green-based detection system (Roche, Basel, Switzerland, cat. 04887352001) with primers of our genes of interest: RLP32 forward AGCATACAGGCCCAAGATCG; RLP32 reverse TGTTGTCGATACCCTTGGGC; SLR1 forward ACTGCAACTGACAGATACACTG; and SLR1 reverse CCTCCCGGTTATGGTTGAGC. Two technical replicates for each biological replicate were assessed. SLR1 (PGC1α) levels were normalized to RPL32 using the comparative ΔΔCT method.
4.8. Statistical Analysis
All data were analyzed using appropriate statistical methods to ensure the validity and reliability of the results. For the locomotor behavior experiments (Figure 1), data were quantified automatically with EthoVision, measuring the distance and speed of larvae. Each condition included a minimum of 15 individual larvae, with data presented as dot plots and error bars representing the standard error of the mean (SEM). Statistical significance was determined using 2-way ANOVA with multiple comparisons (* p < 0.05, ** p < 0.01, *** p < 0.001).
For the analysis of NMJ synaptic transmission (Figure 2), both spontaneous and evoked recordings were quantified. Each dot represents the measurement from a single NMJ, with a minimum of 7 independent larvae NMJs per condition. Data were presented as dot plots, with error bars showing SEM. Statistical significance was assessed using 2-way ANOVA with multiple comparisons (* p < 0.05, ** p < 0.01, *** p < 0.001).
Mitochondrial activity was assessed by quantifying oxygen consumption normalized to protein content (Figure 3A) and ATP production levels (Figure 3B). Each condition included at least 4 independent experiments per genotype (each with 3 NMJs). Data were expressed as mean ± SEM. Oxygen consumption data were analyzed using multiple t-tests corrected for multiple comparisons with the Sidak–Bonferroni method (** p < 0.01). ATP production levels were compared using t-tests (** p < 0.01).
Mitochondrial populations and distributions were quantified using mito-GFP expression and anti-HRP staining (Figure 4). Each dot represents a single NMJ, with at least 15 independent NMJs analyzed per condition. Data were shown as dot plots ± SEM and statistical significance was determined by 2-way ANOVA with multiple comparisons (* p < 0.05).
For the modulation of mitochondrial biogenesis and its effect on motor behavior (Figure 5), locomotor behavior was quantified by measuring the distance moved by larvae in 1 min and their crawling speed. Each condition included a minimum of 7 single larvae. Data were shown as dot plots with error bars representing SEM. Statistical significance was determined using the Kruskal–Wallis test followed by Dunn’s multiple comparisons test (** p < 0.01).
These comprehensive statistical analyses ensure the robustness and reliability of our findings across various experimental conditions.
A.V., V.M. and A.K.K. performed the experiments. A.V., V.M. and A.K.K. analyzed the data. A.V., A.K.K. and C.B. designed the research. A.K.K. and C.B. wrote the manuscript. All authors have read and agreed to the published version of the manuscript.
Not applicable.
Not applicable.
Data supporting the reported results can be obtained upon request from the corresponding authors.
We acknowledge the Developmental Hybridoma Studies Bank for antibodies, the Bloomington Drosophila Stock Center and Vienna Drosophila Resource Center for resources, and Flybase for essential information. Thanks to Patrik Verstreken and Hugo Stocker for fly stocks and reagents. We thank Annick Crevoisier for her administrative assistance.
The authors declare no conflicts of interest.
Footnotes
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
Figure 1. Activation of the 5-HT1A receptor by eltoprazine rescues motor behavior in dfmr1Δ50 larvae. (A) Representative images of larval tracking on agarose plate for the various conditions tested. The red arrows indicate the distance that the larvae covered between points d1 and d2. (B) Quantification of the locomotor behavior for the control, dfmr1Δ50 mutants, the control treated with eltoprazine, and dfmr1Δ50 mutants treated with eltoprazine (elto). The analysis was performed automatically with Ethovision by measuring the distance and speed of the larvae. Each dot represents a single larva. Left panel: distance traveled by the larvae during a 1 min observation period. Right panel: crawling speed, measured as distance moved in cm per second. For each condition, n ≥ 15 single larvae. Data are shown as dot plots, and error bars represent the standard error of the mean; 2-way ANOVA, multiple comparisons: ** p [less than] 0.01, **** p [less than] 0.001, ns means no significant.
Figure 2. Activation of the 5-HT1A receptor ameliorates NMJ synaptic transmission of the dfmr1Δ50 larvae. Representative traces of spontaneous (A) and evoked (B) activity in larvae from the control, dfmr1Δ50, the control treated with eltoprazine, and dfmr1Δ50 treated with eltoprazine. (C) Quantification of spontaneous event frequency (Hz) (left) and amplitude (mV) (right). Each dot represents the measurement of a single NMJ. (D) Quantification of evoked EJP amplitude (mV). n ≥ 7 larvae for each condition. All the data are presented as dot plots, and error bars show the standard error of the mean. 2-way ANOVA, multiple comparisons: * p [less than] 0.05, ** p [less than] 0.01, *** p [less than] 0.001, n.s. means no significant.
Figure 3. Eltoprazine treatment rescues NMJ mitochondrial hyperactivity in dfmr1Δ50 larvae. (A) Quantification of oxygen consumption normalized per protein content and to the control. n ≥ 4 independent experiments per genotype (each with 3 NMJs), mean ± standard error of the mean. ** p [less than] 0.01, ns means no significant, multiple t-test, corrected for multiple comparisons using the Sidak–Bonferroni method. (B) Quantification of ATP production levels in control and dfmr1Δ50 larvae NMJs. Data represent n ≥ 4 independent experiments per genotype (each with 3 NMJs), expressed as mean ± standard error of the mean. Statistical significance was determined by t-tests (** p [less than] 0.01) comparing the ATP levels of dfmr1 mutant flies to those of wild-type control flies.
Figure 4. Eltoprazine restores mitochondrial puncta and distribution in the NMJ of dfmr1Δ50 larvae. (A) Representative images of the NMJ (neuromuscular junction) synaptic boutons expressing mito-GFP (mitochondrial-targeted green fluorescent protein) and stained with a-HRP (anti-Horseradish Peroxidase). To visualize synaptic boutons at the Drosophila NMJ, a TRITC-HRP conjugated antibody was used, which provided visualization of the presynaptic terminals, facilitating the clear observation of their structure and organization. Arrows indicate the close-up magnification of axonal processes. Scale bar 10 um for all images. (B) Quantification of the mito-GFP puncta normalized to the synaptic boutons’ area and number. Each dot represents a single NMJ where at least 3 branches and 5 boutons for each branch were analyzed. n ≥ 15 NMJs. All data are shown as dot plots ± standard error of the mean; 2-way ANOVA (two-way analysis of variance), multiple comparisons, * p [less than] 0.05, ns means no significant.
Figure 5. Genetic modulation of mitochondrial biogenesis marker PGC1A rescues motor behavior in dfmr1Δ50 larvae. (A) Images representing larval tracking across various conditions. (B) Measurement of larval movement distance observed over 1 min. (C) Quantification of the crawling speed, measured as distance moved in cm per second. For each condition, n ≥ 7 single larvae. Data are shown as dot plots, and error bars represent the standard error of the mean; Kruskal–Wallis test followed by Dunn’s multiple comparisons test, * p [less than] 0.05, ns means no significant.
References
1. Kann, O.; Kovacs, R. Mitochondria and Neuronal Activity. AJP Cell Physiol.; 2006; 292, pp. C641-C657. [DOI: https://dx.doi.org/10.1152/ajpcell.00222.2006] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/17092996]
2. Flippo, K.H.; Strack, S. Mitochondrial Dynamics in Neuronal Injury, Development and Plasticity. J. Cell Sci.; 2017; 130, pp. 671-681. [DOI: https://dx.doi.org/10.1242/jcs.171017]
3. Raefsky, S.M.; Mattson, M.P. Adaptive Responses of Neuronal Mitochondria to Bioenergetic Challenges: Roles in Neuroplasticity and Disease Resistance. Free Radic. Biol. Med.; 2017; 102, pp. 203-216. [DOI: https://dx.doi.org/10.1016/j.freeradbiomed.2016.11.045]
4. Khacho, M.; Slack, R.S. Mitochondrial Dynamics in the Regulation of Neurogenesis: From Development to the Adult Brain. Dev. Dyn.; 2018; 247, pp. 47-53. [DOI: https://dx.doi.org/10.1002/dvdy.24538]
5. Morella, I.M.; Brambilla, R.; Morè, L. Emerging Roles of Brain Metabolism in Cognitive Impairment and Neuropsychiatric Disorders. Neurosci. Biobehav. Rev.; 2022; 142, 104892. [DOI: https://dx.doi.org/10.1016/j.neubiorev.2022.104892]
6. Clemente-Suárez, V.; Redondo-Flórez, L.; Beltrán-Velasco, A.; Ramos-Campo, D.; Belinchón-deMiguel, P.; Martinez-Guardado, I.; Dalamitros, A.; Yáñez-Sepúlveda, R.; Martín-Rodríguez, A.; Tornero-Aguilera, J. Mitochondria and Brain Disease: A Comprehensive Review of Pathological Mechanisms and Therapeutic Opportunities. Biomedicines; 2023; 11, 2488. [DOI: https://dx.doi.org/10.3390/biomedicines11092488] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/37760929]
7. Nunnari, J.; Suomalainen, A. Mitochondria: In Sickness and in Health. Cell; 2012; 148, pp. 1145-1159. [DOI: https://dx.doi.org/10.1016/j.cell.2012.02.035]
8. Iwata, R.; Vanderhaeghen, P. Regulatory Roles of Mitochondria and Metabolism in Neurogenesis. Curr. Opin. Neurobiol.; 2021; 69, pp. 231-240. [DOI: https://dx.doi.org/10.1016/j.conb.2021.05.003] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/34171617]
9. Iwata, R.; Casimir, P.; Erkol, E.; Boubakar, L.; Planque, M.; Gallego Lopez, I.M.; Ditkowska, M.; Gaspariunaite, V.; Beckers, S.; Remans, D. et al. Mitochondria Metabolism Sets the Species-Specific Tempo of Neuronal Development. Science; 2023; 379, eabn4705. [DOI: https://dx.doi.org/10.1126/science.abn4705]
10. Sachdev, S.; Ansari, S.A.; Ansari, M.I. Generation and Fate of ROS in Mitochondria. Reactive Oxygen Species in Plants; Springer Nature: Singapore, 2023; pp. 93-106. ISBN 978-981-19988-3-6
11. Brillo, V.; Chieregato, L.; Leanza, L.; Muccioli, S.; Costa, R. Mitochondrial Dynamics, ROS, and Cell Signaling: A Blended Overview. Life; 2021; 11, 332. [DOI: https://dx.doi.org/10.3390/life11040332]
12. Kuznetsov, A.V.; Margreiter, R.; Ausserlechner, M.J.; Hagenbuchner, J. The Complex Interplay between Mitochondria, ROS and Entire Cellular Metabolism. Antioxidants; 2022; 11, 1995. [DOI: https://dx.doi.org/10.3390/antiox11101995]
13. Rangaraju, V.; Tom Dieck, S.; Schuman, E.M. Local Translation in Neuronal Compartments: How Local Is Local?. EMBO Rep.; 2017; 18, pp. 693-711. [DOI: https://dx.doi.org/10.15252/embr.201744045] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/28404606]
14. Bapat, O.; Purimetla, T.; Kruessel, S.; Shah, M.; Fan, R.; Thum, C.; Rupprecht, F.; Langer, J.D.; Rangaraju, V. VAP Spatially Stabilizes Dendritic Mitochondria to Locally Support Synaptic Plasticity. Nat. Commun.; 2024; 15, 205. [DOI: https://dx.doi.org/10.1038/s41467-023-44233-8] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/38177103]
15. Winkle, C.C.; Taylor, K.L.; Dent, E.W.; Gallo, G.; Greif, K.F.; Gupton, S.L. Beyond the Cytoskeleton: The Emerging Role of Organelles and Membrane Remodeling in the Regulation of Axon Collateral Branches. Dev. Neurobiol.; 2016; 76, pp. 1293-1307. [DOI: https://dx.doi.org/10.1002/dneu.22398] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/27112549]
16. Alberti, P.; Semperboni, S.; Cavaletti, G.; Scuteri, A. Neurons: The Interplay between Cytoskeleton, Ion Channels/Transporters and Mitochondria. Cells; 2022; 11, 2499. [DOI: https://dx.doi.org/10.3390/cells11162499]
17. Bustamante-Barrientos, F.A.; Luque-Campos, N.; Araya, M.J.; Lara-Barba, E.; De Solminihac, J.; Pradenas, C.; Molina, L.; Herrera-Luna, Y.; Utreras-Mendoza, Y.; Elizondo-Vega, R. et al. Mitochondrial Dysfunction in Neurodegenerative Disorders: Potential Therapeutic Application of Mitochondrial Transfer to Central Nervous System-Residing Cells. J. Transl. Med.; 2023; 21, 613. [DOI: https://dx.doi.org/10.1186/s12967-023-04493-w] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/37689642]
18. Weissman, J.R.; Kelley, R.I.; Bauman, M.L.; Cohen, B.H.; Murray, K.F.; Mitchell, R.L.; Kern, R.L.; Natowicz, M.R. Mitochondrial Disease in Autism Spectrum Disorder Patients: A Cohort Analysis. PLoS ONE; 2008; 3, e3815. [DOI: https://dx.doi.org/10.1371/journal.pone.0003815]
19. Rossignol, D.A.; Frye, R.E. Mitochondrial Dysfunction in Autism Spectrum Disorders: A Systematic Review and Meta-Analysis. Mol. Psychiatry; 2012; 17, pp. 290-314. [DOI: https://dx.doi.org/10.1038/mp.2010.136]
20. Hollis, F.; Kanellopoulos, A.K.; Bagni, C. Mitochondrial Dysfunction in Autism Spectrum Disorder: Clinical Features and Perspectives. Curr. Opin. Neurobiol.; 2017; 45, pp. 178-187. [DOI: https://dx.doi.org/10.1016/j.conb.2017.05.018]
21. McDonald, T.; Puchowicz, M.; Borges, K. Impairments in Oxidative Glucose Metabolism in Epilepsy and Metabolic Treatments Thereof. Front. Cell. Neurosci.; 2018; 12, 274. [DOI: https://dx.doi.org/10.3389/fncel.2018.00274]
22. Kim, Y.; Vadodaria, K.C.; Lenkei, Z.; Kato, T.; Gage, F.H.; Marchetto, M.C.; Santos, R. Mitochondria, Metabolism, and Redox Mechanisms in Psychiatric Disorders. Antioxid. Redox Signal.; 2019; 31, pp. 275-317. [DOI: https://dx.doi.org/10.1089/ars.2018.7606]
23. Kanellopoulos, A.K.; Mariano, V.; Spinazzi, M.; Woo, Y.J.; McLean, C.; Pech, U.; Li, K.W.; Armstrong, J.D.; Giangrande, A.; Callaerts, P. et al. Aralar Sequesters GABA into Hyperactive Mitochondria, Causing Social Behavior Deficits. Cell; 2020; 180, pp. 1178-1197.e20. [DOI: https://dx.doi.org/10.1016/j.cell.2020.02.044]
24. Siddiqui, M.F.; Elwell, C.; Johnson, M.H. Mitochondrial Dysfunction in Autism Spectrum Disorders. Autism Open Access; 2016; 6, 1000190. [DOI: https://dx.doi.org/10.4172/2165-7890.1000190] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/27928515]
25. Chauhan, A.; Gu, F.; Chauhan, V. Mitochondrial Dysfunction in Autism. Studies on Psychiatric Disorders; Dietrich-Muszalska, A.; Chauhan, V.; Grignon, S. Oxidative Stress in Applied Basic Research and Clinical Practice Springer: New York, NY, USA, 2015; pp. 355-372. ISBN 978-1-4939-0439-6
26. Frye, R.E. Mitochondrial Dysfunction in Autism Spectrum Disorder: Unique Abnormalities and Targeted Treatments. Semin. Pediatr. Neurol.; 2020; 35, 100829. [DOI: https://dx.doi.org/10.1016/j.spen.2020.100829] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/32892956]
27. Ortiz-González, X.R. Mitochondrial Dysfunction: A Common Denominator in Neurodevelopmental Disorders?. Dev. Neurosci.; 2021; 43, pp. 222-229. [DOI: https://dx.doi.org/10.1159/000517870] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/34350863]
28. Zhang, Y.Q.; Bailey, A.M.; Matthies, H.J.G.; Renden, R.B.; Smith, M.A.; Speese, S.D.; Rubin, G.M.; Broadie, K. Drosophila Fragile X-Related Gene Regulates the MAP1B Homolog Futsch to Control Synaptic Structure and Function. Cell; 2001; 107, pp. 591-603. [DOI: https://dx.doi.org/10.1016/S0092-8674(01)00589-X] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/11733059]
29. Mariano, V.; Achsel, T.; Bagni, C.; Kanellopoulos, A.K. Modelling Learning and Memory in Drosophila to Understand Intellectual Disabilities. Neuroscience; 2020; 445, pp. 12-30. [DOI: https://dx.doi.org/10.1016/j.neuroscience.2020.07.034]
30. Bagni, C.; Tassone, F.; Neri, G.; Hagerman, R. Fragile X Syndrome: Causes, Diagnosis, Mechanisms, and Therapeutics. J. Clin. Investig.; 2012; 122, pp. 4314-4322. [DOI: https://dx.doi.org/10.1172/JCI63141] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/23202739]
31. Bagni, C.; Zukin, R.S. A Synaptic Perspective of Fragile X Syndrome and Autism Spectrum Disorders. Neuron; 2019; 101, pp. 1070-1088. [DOI: https://dx.doi.org/10.1016/j.neuron.2019.02.041]
32. Pasciuto, E.; Bagni, C. SnapShot: FMRP mRNA Targets and Diseases. Cell; 2014; 158, pp. 1446-1446.e1. [DOI: https://dx.doi.org/10.1016/j.cell.2014.08.035]
33. Saldarriaga, W.; Tassone, F.; González-Teshima, L.Y.; Forero-Forero, J.V.; Ayala-Zapata, S.; Hagerman, R. Fragile X Syndrome. Colomb. Medica; 2014; 45, pp. 190-198. [DOI: https://dx.doi.org/10.25100/cm.v45i4.1810]
34. Protic, D.D.; Aishworiya, R.; Salcedo-Arellano, M.J.; Tang, S.J.; Milisavljevic, J.; Mitrovic, F.; Hagerman, R.J.; Budimirovic, D.B. Fragile X Syndrome: From Molecular Aspect to Clinical Treatment. Int. J. Mol. Sci.; 2022; 23, 1935. [DOI: https://dx.doi.org/10.3390/ijms23041935] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/35216055]
35. Irwin, S.A. Dendritic Spine Structural Anomalies in Fragile-X Mental Retardation Syndrome. Cereb. Cortex; 2000; 10, pp. 1038-1044. [DOI: https://dx.doi.org/10.1093/cercor/10.10.1038] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/11007554]
36. Sidorov, M.S.; Auerbach, B.D.; Bear, M.F. Fragile X Mental Retardation Protein and Synaptic Plasticity. Mol. Brain; 2013; 6, 15. [DOI: https://dx.doi.org/10.1186/1756-6606-6-15] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/23566911]
37. Dockendorff, T.C.; Su, H.S.; McBride, S.M.J.; Yang, Z.; Choi, C.H.; Siwicki, K.K.; Sehgal, A.; Jongens, T.A. Drosophila Lacking Dfmr1 Activity Show Defects in Circadian Output and Fail to Maintain Courtship Interest. Neuron; 2002; 34, pp. 973-984. [DOI: https://dx.doi.org/10.1016/S0896-6273(02)00724-9] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/12086644]
38. Hutson, R.L.; Thompson, R.L.; Bantel, A.P.; Tessier, C.R. Acamprosate Rescues Neuronal Defects in the Drosophila Model of Fragile X Syndrome. Life Sci.; 2018; 195, pp. 65-70. [DOI: https://dx.doi.org/10.1016/j.lfs.2018.01.007] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/29317220]
39. Santos, A.R.; Kanellopoulos, A.K.; Bagni, C. Learning and Behavioral Deficits Associated with the Absence of the Fragile X Mental Retardation Protein: What a Fly and Mouse Model Can Teach Us. Learn. Mem.; 2014; 21, pp. 543-555. [DOI: https://dx.doi.org/10.1101/lm.035956.114] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/25227249]
40. Yao, A.; Jin, S.; Li, X.; Liu, Z.; Ma, X.; Tang, J.; Zhang, Y.Q. Drosophila FMRP Regulates Microtubule Network Formation and Axonal Transport of Mitochondria. Hum. Mol. Genet.; 2011; 20, pp. 51-63. [DOI: https://dx.doi.org/10.1093/hmg/ddq431]
41. Weisz, E.D.; Towheed, A.; Monyak, R.E.; Toth, M.S.; Wallace, D.C.; Jongens, T.A. Loss of Drosophila FMRP Leads to Alterations in Energy Metabolism and Mitochondrial Function. Hum. Mol. Genet.; 2018; 27, pp. 95-106. [DOI: https://dx.doi.org/10.1093/hmg/ddx387] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/29106525]
42. Bülow, P.; Wenner, P.A.; Faundez, V.; Bassell, G.J. Mitochondrial Structure and Polarity in Dendrites and the Axon Initial Segment Are Regulated by Homeostatic Plasticity and Dysregulated in Fragile X Syndrome. Front. Cell Dev. Biol.; 2021; 9, 702020. [DOI: https://dx.doi.org/10.3389/fcell.2021.702020]
43. Licznerski, P.; Park, H.-A.; Rolyan, H.; Chen, R.; Mnatsakanyan, N.; Miranda, P.; Graham, M.; Wu, J.; Cruz-Reyes, N.; Mehta, N. et al. ATP Synthase C-Subunit Leak Causes Aberrant Cellular Metabolism in Fragile X Syndrome. Cell; 2020; 182, pp. 1170-1185.e9. [DOI: https://dx.doi.org/10.1016/j.cell.2020.07.008] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/32795412]
44. Lane, A.R.; Wynne, M.E.; Faundez, V. Human-Specific Translational Control of Neuronal Mitochondria and Excitability. Neuron; 2023; 111, pp. 3901-3903. [DOI: https://dx.doi.org/10.1016/j.neuron.2023.10.031] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/38128477]
45. Imlach, W.L.; Beck, E.S.; Choi, B.J.; Lotti, F.; Pellizzoni, L.; McCabe, B.D. SMN Is Required for Sensory-Motor Circuit Function in Drosophila. Cell; 2012; 151, pp. 427-439. [DOI: https://dx.doi.org/10.1016/j.cell.2012.09.011] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/23063130]
46. Riemensperger, T.; Issa, A.R.; Pech, U.; Coulom, H.; Nguyễn, M.V.; Cassar, M.; Jacquet, M.; Fiala, A.; Birman, S. A Single Dopamine Pathway Underlies Progressive Locomotor Deficits in a Drosophila Model of Parkinson Disease. Cell Rep.; 2013; 5, pp. 952-960. [DOI: https://dx.doi.org/10.1016/j.celrep.2013.10.032] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/24239353]
47. Silva, B.; Goles, N.I.; Varas, R.; Campusano, J.M. Serotonin Receptors Expressed in Drosophila Mushroom Bodies Differentially Modulate Larval Locomotion. PLoS ONE; 2014; 9, e89641. [DOI: https://dx.doi.org/10.1371/journal.pone.0089641]
48. Majeed, Z.R.; Abdeljaber, E.; Soveland, R.; Cornwell, K.; Bankemper, A.; Koch, F.; Cooper, R.L. Modulatory Action by the Serotonergic System: Behavior and Neurophysiology in Drosophila Melanogaster. Neural Plast.; 2016; 7291438. [DOI: https://dx.doi.org/10.1155/2016/7291438]
49. Hsu, C.T.; Bhandawat, V. Organization of Descending Neurons in Drosophila Melanogaster. Sci. Rep.; 2016; 6, 20259. [DOI: https://dx.doi.org/10.1038/srep20259]
50. Eriksson, A.; Raczkowska, M.; Navawongse, R.; Choudhury, D.; Stewart, J.C.; Tang, Y.L.; Wang, Z.; Claridge-Chang, A. Neuromodulatory Circuit Effects on Drosophila Feeding Behaviour and Metabolism. Sci. Rep.; 2017; 7, 8839. [DOI: https://dx.doi.org/10.1038/s41598-017-08466-0]
51. Clark, M.Q.; Zarin, A.A.; Carreira-Rosario, A.; Doe, C.Q. Neural Circuits Driving Larval Locomotion in Drosophila. Neural Dev.; 2018; 13, 6. [DOI: https://dx.doi.org/10.1186/s13064-018-0103-z]
52. Saraf, T.S.; Chen, Y.; Tyagi, R.; Canal, C.E. Altered Brain Serotonin 5-HT1A Receptor Expression and Function in Juvenile Fmr1 Knockout Mice. Neuropharmacology; 2024; 245, 109774. [DOI: https://dx.doi.org/10.1016/j.neuropharm.2023.109774]
53. Costa, L.; Sardone, L.M.; Bonaccorso, C.M.; D’Antoni, S.; Spatuzza, M.; Gulisano, W.; Tropea, M.R.; Puzzo, D.; Leopoldo, M.; Lacivita, E. et al. Activation of Serotonin 5-HT7 Receptors Modulates Hippocampal Synaptic Plasticity by Stimulation of Adenylate Cyclases and Rescues Learning and Behavior in a Mouse Model of Fragile X Syndrome. Front. Mol. Neurosci.; 2018; 11, 353. [DOI: https://dx.doi.org/10.3389/fnmol.2018.00353] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/30333723]
54. Zhang, Y.Q.; Friedman, D.B.; Wang, Z.; Woodruff, E.; Pan, L.; O’Donnell, J.; Broadie, K. Protein Expression Profiling of the Drosophila Fragile X Mutant Brain Reveals Up-Regulation of Monoamine Synthesis. Mol. Cell. Proteom.; 2005; 4, pp. 278-290. [DOI: https://dx.doi.org/10.1074/mcp.M400174-MCP200]
55. Okusawa, S.; Kohsaka, H.; Nose, A. Serotonin and Downstream Leucokinin Neurons Modulate Larval Turning Behavior in Drosophila. J. Neurosci. Off. J. Soc. Neurosci.; 2014; 34, pp. 2544-2558. [DOI: https://dx.doi.org/10.1523/JNEUROSCI.3500-13.2014] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/24523545]
56. Cardon, I.; Grobecker, S.; Jenne, F.; Jahner, T.; Rupprecht, R.; Milenkovic, V.M.; Wetzel, C.H. Serotonin Effects on Human iPSC-Derived Neural Cell Functions: From Mitochondria to Depression. Mol. Psychiatry; 2024; [DOI: https://dx.doi.org/10.1038/s41380-024-02538-0] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/38532010]
57. Scholpa, N.E.; Lynn, M.K.; Corum, D.; Boger, H.A.; Schnellmann, R.G. 5-HT1F Receptor-Mediated Mitochondrial Biogenesis for the Treatment of Parkinson’s Disease. Br. J. Pharmacol.; 2018; 175, pp. 348-358. [DOI: https://dx.doi.org/10.1111/bph.14076] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/29057453]
58. Sola-Penna, M.; Paixão, L.P.; Branco, J.R.; Ochioni, A.C.; Albanese, J.M.; Mundim, D.M.; Baptista-de-Souza, D.; Figueiredo, C.P.; Coelho, W.S.; Marcondes, M.C. et al. Serotonin Activates Glycolysis and Mitochondria Biogenesis in Human Breast Cancer Cells through Activation of the Jak1/STAT3/ERK1/2 and Adenylate Cyclase/PKA, Respectively. Br. J. Cancer; 2020; 122, pp. 194-208. [DOI: https://dx.doi.org/10.1038/s41416-019-0640-1] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/31819176]
59. Fanibunda, S.E.; Deb, S.; Maniyadath, B.; Tiwari, P.; Ghai, U.; Gupta, S.; Figueiredo, D.; Weisstaub, N.; Gingrich, J.A.; Vaidya, A.D.B. et al. Serotonin Regulates Mitochondrial Biogenesis and Function in Rodent Cortical Neurons via the 5-HT 2A Receptor and SIRT1–PGC-1α Axis. Proc. Natl. Acad. Sci. USA; 2019; 116, pp. 11028-11037. [DOI: https://dx.doi.org/10.1073/pnas.1821332116] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/31072928]
60. Kashima, R.; Redmond, P.L.; Ghatpande, P.; Roy, S.; Kornberg, T.B.; Hanke, T.; Knapp, S.; Lagna, G.; Hata, A. Hyperactive Locomotion in a Drosophila Model Is a Functional Readout for the Synaptic Abnormalities Underlying Fragile X Syndrome. Sci. Signal.; 2017; 10, eaai8133. [DOI: https://dx.doi.org/10.1126/scisignal.aai8133] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/28465421]
61. Jakubowski, B.R.; Longoria, R.A.; Shubeita, G.T. A High Throughput and Sensitive Method Correlates Neuronal Disorder Genotypes to Drosophila Larvae Crawling Phenotypes. Fly; 2012; 6, pp. 303-308. [DOI: https://dx.doi.org/10.4161/fly.21582]
62. Pan, L.; Broadie, K.S. Drosophila Fragile X Mental Retardation Protein and Metabotropic Glutamate Receptor A Convergently Regulate the Synaptic Ratio of Ionotropic Glutamate Receptor Subclasses. J. Neurosci.; 2007; 27, pp. 12378-12389. [DOI: https://dx.doi.org/10.1523/JNEUROSCI.2970-07.2007]
63. Scholpa, N.E.; Schnellmann, R.G. Mitochondrial-Based Therapeutics for the Treatment of Spinal Cord Injury: Mitochondrial Biogenesis as a Potential Pharmacological Target. J. Pharmacol. Exp. Ther.; 2017; 363, pp. 303-313. [DOI: https://dx.doi.org/10.1124/jpet.117.244806] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/28935700]
64. Verstreken, P.; Ly, C.V.; Venken, K.J.; Koh, T.W.; Zhou, Y.; Bellen, H.J. Synaptic Mitochondria Are Critical for Mobilization of Reserve Pool Vesicles at Drosophila Neuromuscular Junctions. Neuron; 2005; 47, pp. 365-378. [DOI: https://dx.doi.org/10.1016/j.neuron.2005.06.018] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/16055061]
65. Sandoval, H.; Yao, C.-K.; Chen, K.; Jaiswal, M.; Donti, T.; Lin, Y.Q.; Bayat, V.; Xiong, B.; Zhang, K.; David, G. et al. Mitochondrial Fusion but Not Fission Regulates Larval Growth and Synaptic Development through Steroid Hormone Production. eLife; 2014; 3, e03558. [DOI: https://dx.doi.org/10.7554/eLife.03558] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/25313867]
66. Sawicka, K.; Hale, C.R.; Park, C.Y.; Fak, J.J.; Gresack, J.E.; Van Driesche, S.J.; Kang, J.J.; Darnell, J.C.; Darnell, R.B. FMRP Has a Cell-Type-Specific Role in CA1 Pyramidal Neurons to Regulate Autism-Related Transcripts and Circadian Memory. eLife; 2019; 8, e46919. [DOI: https://dx.doi.org/10.7554/eLife.46919] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/31860442]
67. Gershman, B.; Puig, O.; Hang, L.; Peitzsch, R.M.; Tatar, M.; Garofalo, R.S. High-Resolution Dynamics of the Transcriptional Response to Nutrition in Drosophila: A Key Role for dFOXO. Physiol. Genom.; 2007; 29, pp. 24-34. [DOI: https://dx.doi.org/10.1152/physiolgenomics.00061.2006] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/17090700]
68. Hagerman, R.J. Testing for Fragile X Gene Mutations Throughout the Life Span. JAMA; 2008; 300, 2419. [DOI: https://dx.doi.org/10.1001/jama.2008.684] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/19033593]
69. Verkerk, A.J.; Pieretti, M.; Sutcliffe, J.S.; Fu, Y.H.; Kuhl, D.P.; Pizzuti, A.; Reiner, O.; Richards, S.; Victoria, M.F.; Zhang, F.P. et al. Identification of a Gene (FMR-1) Containing a CGG Repeat Coincident with a Breakpoint Cluster Region Exhibiting Length Variation in Fragile X Syndrome. Cell; 1991; 65, pp. 905-914. [DOI: https://dx.doi.org/10.1016/0092-8674(91)90397-H] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/1710175]
70. Berry-Kravis, E.M.; Lindemann, L.; Jønch, A.E.; Apostol, G.; Bear, M.F.; Carpenter, R.L.; Crawley, J.N.; Curie, A.; Des Portes, V.; Hossain, F. et al. Drug Development for Neurodevelopmental Disorders: Lessons Learned from Fragile X Syndrome. Nat. Rev. Drug Discov.; 2017; 17, pp. 280-299. [DOI: https://dx.doi.org/10.1038/nrd.2017.221]
71. Huber, K.M.; Gallagher, S.M.; Warren, S.T.; Bear, M.F. Altered Synaptic Plasticity in a Mouse Model of Fragile X Mental Retardation. Proc. Natl. Acad. Sci. USA; 2002; 99, pp. 7746-7750. [DOI: https://dx.doi.org/10.1073/pnas.122205699]
72. Hanson, A.C.; Hagerman, R.J. Serotonin Dysregulation in Fragile X Syndrome: Implications for Treatment. Intractable Rare Dis. Res.; 2014; 3, pp. 110-117. [DOI: https://dx.doi.org/10.5582/irdr.2014.01027]
73. Muller, C.L.; Anacker, A.M.J.; Veenstra-VanderWeele, J. The Serotonin System in Autism Spectrum Disorder: From Biomarker to Animal Models. Neuroscience; 2016; 321, pp. 24-41. [DOI: https://dx.doi.org/10.1016/j.neuroscience.2015.11.010] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/26577932]
74. AlOlaby, R.R.; Sweha, S.R.; Silva, M.; Durbin-Johnson, B.; Yrigollen, C.M.; Pretto, D.; Hagerman, R.J.; Tassone, F. Molecular Biomarkers Predictive of Sertraline Treatment Response in Young Children with Fragile X Syndrome. Brain Dev.; 2017; 39, pp. 483-492. [DOI: https://dx.doi.org/10.1016/j.braindev.2017.01.012] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/28242040]
75. Costa, L.; Sardone, L.M.; Lacivita, E.; Leopoldo, M.; Ciranna, L. Novel Agonists for Serotonin 5-HT7 Receptors Reverse Metabotropic Glutamate Receptor-Mediated Long-Term Depression in the Hippocampus of Wild-Type and Fmr1 KO Mice, a Model of Fragile X Syndrome. Front. Behav. Neurosci.; 2015; 9, 65. [DOI: https://dx.doi.org/10.3389/fnbeh.2015.00065]
76. Greiss Hess, L.; Fitzpatrick, S.E.; Nguyen, D.V.; Chen, Y.; Gaul, K.N.; Schneider, A.; Lemons Chitwood, K.; Eldeeb, M.A.A.A.; Polussa, J.; Hessl, D. et al. A Randomized, Double-Blind, Placebo-Controlled Trial of Low-Dose Sertraline in Young Children with Fragile X Syndrome. J. Dev. Behav. Pediatr.; 2016; 37, pp. 619-628. [DOI: https://dx.doi.org/10.1097/DBP.0000000000000334] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/27560971]
77. Svenningsson, P.; Rosenblad, C.; af Edholm Arvidsson, K.; Wictorin, K.; Keywood, C.; Shankar, B.; Lowe, D.A.; Björklund, A.; Widner, H. Eltoprazine Counteracts L-DOPA-Induced Dyskinesias in Parkinson’s Disease: A Dose-Finding Study. Brain; 2015; 138, pp. 963-973. [DOI: https://dx.doi.org/10.1093/brain/awu409] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/25669730]
78. Pinna, A.; Ko, W.K.D.; Costa, G.; Tronci, E.; Fidalgo, C.; Simola, N.; Li, Q.; Tabrizi, M.A.; Bezard, E.; Carta, M. et al. Antidyskinetic Effect of A2A and 5HT1A/1B Receptor Ligands in Two Animal Models of Parkinson’s Disease. Mov. Disord.; 2016; 31, pp. 501-511. [DOI: https://dx.doi.org/10.1002/mds.26475] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/26871939]
79. Ghiglieri, V.; Mineo, D.; Vannelli, A.; Cacace, F.; Mancini, M.; Pendolino, V.; Napolitano, F.; di Maio, A.; Mellone, M.; Stanic, J. et al. Modulation of Serotonergic Transmission by Eltoprazine in L-DOPA-Induced Dyskinesia: Behavioral, Molecular, and Synaptic Mechanisms. Neurobiol. Dis.; 2016; 86, pp. 140-153. [DOI: https://dx.doi.org/10.1016/j.nbd.2015.11.022] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/26639853]
80. Ko, W.K.D.; Li, Q.; Cheng, L.Y.; Morelli, M.; Carta, M.; Bezard, E. A Preclinical Study on the Combined Effects of Repeated Eltoprazine and Preladenant Treatment for Alleviating L-DOPA-Induced Dyskinesia in Parkinson’s Disease. Eur. J. Pharmacol.; 2017; 813, pp. 10-16. [DOI: https://dx.doi.org/10.1016/j.ejphar.2017.07.030] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/28739086]
81. Will, E.A.; Bishop, S.L.; Roberts, J.E. Developmental Divergence: Motor Trajectories in Children with Fragile X Syndrome with and without Co-Occurring Autism. J. Neurodev. Disord.; 2019; 11, 23. [DOI: https://dx.doi.org/10.1186/s11689-019-9281-1] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/31586494]
82. Sawacha, Z.; Spolaor, F.; Piątkowska, W.J.; Cibin, F.; Ciniglio, A.; Guiotto, A.; Ricca, M.; Polli, R.; Murgia, A. Feasibility and Reliability Assessment of Video-Based Motion Analysis and Surface Electromyography in Children with Fragile X during Gait. Sensors; 2021; 21, 4746. [DOI: https://dx.doi.org/10.3390/s21144746]
83. Repicky, S.; Broadie, K. Metabotropic Glutamate Receptor–Mediated Use–Dependent Down-Regulation of Synaptic Excitability Involves the Fragile X Mental Retardation Protein. J. Neurophysiol.; 2009; 101, pp. 672-687. [DOI: https://dx.doi.org/10.1152/jn.90953.2008] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/19036865]
84. Friedman, S.H.; Dani, N.; Rushton, E.; Broadie, K. Fragile X Mental Retardation Protein Regulates Trans-Synaptic Signaling in Drosophila. Dis. Models Mech.; 2013; 6, pp. 1400-1413. [DOI: https://dx.doi.org/10.1242/dmm.012229]
85. Chen, S.; Owens, G.C.; Crossin, K.L.; Edelman, D.B. Serotonin Stimulates Mitochondrial Transport in Hippocampal Neurons. Mol. Cell. Neurosci.; 2007; 36, pp. 472-483. [DOI: https://dx.doi.org/10.1016/j.mcn.2007.08.004] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/17904380]
86. Fanibunda, S.E.; Deb, S.; Maniyadath, B.; Gupta, S.; Weisstaub, N.; Gingrich, J.A.; Vaidya, A.D.B.; Kolthur-Seetharam, U.; Vaidya, V.A. Serotonin Regulates Mitochondrial Biogenesis and Function in Rodent Cortical Neurons via the 5-HT2A Receptor and SIRT1-PGC-1α Axis Equal Senior Corresponding Author Title: Serotonin and Mitochondria. bioRxiv; 2018; [DOI: https://dx.doi.org/10.1101/497982]
87. Vos, M.; Lauwers, E.; Verstreken, P. Synaptic Mitochondria in Synaptic Transmission and Organization of Vesicle Pools in Health and Disease. Front. Synaptic Neurosci.; 2010; 2, 139. [DOI: https://dx.doi.org/10.3389/fnsyn.2010.00139] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/21423525]
88. Devine, M.J.; Kittler, J.T. Mitochondria at the Neuronal Presynapse in Health and Disease. Nat. Rev. Neurosci.; 2018; 19, pp. 63-80. [DOI: https://dx.doi.org/10.1038/nrn.2017.170] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/29348666]
89. Shen, M.; Wang, F.; Li, M.; Sah, N.; Stockton, M.E.; Tidei, J.J.; Gao, Y.; Korabelnikov, T.; Kannan, S.; Vevea, J.D. et al. Reduced Mitochondrial Fusion and Huntingtin Levels Contribute to Impaired Dendritic Maturation and Behavioral Deficits in Fmr1-Mutant Mice. Nat. Neurosci.; 2019; 22, pp. 386-400. [DOI: https://dx.doi.org/10.1038/s41593-019-0338-y] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/30742117]
90. D’Antoni, S.; De Bari, L.; Valenti, D.; Borro, M.; Bonaccorso, C.M.; Simmaco, M.; Vacca, R.A.; Catania, M.V. Aberrant Mitochondrial Bioenergetics in the Cerebral Cortex of the Fmr1 Knockout Mouse Model of Fragile X Syndrome. Biol. Chem.; 2020; 401, pp. 497-503. [DOI: https://dx.doi.org/10.1515/hsz-2019-0221] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/31702995]
91. Darnell, J.C.; Van Driesche, S.J.; Zhang, C.; Hung, K.Y.S.; Mele, A.; Fraser, C.E.; Stone, E.F.; Chen, C.; Fak, J.J.; Chi, S.W. et al. FMRP Stalls Ribosomal Translocation on mRNAs Linked to Synaptic Function and Autism. Cell; 2011; 146, pp. 247-261. [DOI: https://dx.doi.org/10.1016/j.cell.2011.06.013]
92. Maurin, T.; Lebrigand, K.; Castagnola, S.; Paquet, A.; Jarjat, M.; Popa, A.; Grossi, M.; Rage, F.; Bardoni, B. HITS-CLIP in Various Brain Areas Reveals New Targets and New Modalities of RNA Binding by Fragile X Mental Retardation Protein. Nucleic Acids Res.; 2018; 46, pp. 6344-6355. [DOI: https://dx.doi.org/10.1093/nar/gky267]
93. Brand, A.H.; Perrimon, N. Targeted Gene Expression as a Means of Altering Cell Fates and Generating Dominant Phenotypes. Development; 1993; 118, pp. 401-415. [DOI: https://dx.doi.org/10.1242/dev.118.2.401] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/8223268]
94. Nichols, C.D.; Becnel, J.; Pandey, U.B. Methods to Assay Drosophila Behavior. J. Vis. Exp.; 2012; 61, 3795. [DOI: https://dx.doi.org/10.3791/3795]
95. Brent, J.R.; Werner, K.M.; McCabe, B.D. Drosophila Larval NMJ Dissection. J. Vis. Exp.; 2009; 24, e1107. [DOI: https://dx.doi.org/10.3791/1107]
96. Krumschnabel, G.; Fontana-Ayoub, M.; Sumbalova, Z.; Heidler, J.; Gauper, K.; Fasching, M.; Gnaiger, E. Simultaneous High-Resolution Measurement of Mitochondrial Respiration and Hydrogen Peroxide Production. Mitochondrial Medicine; Humana Press: New York, NY, USA, 2015; pp. 245-261.
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
© 2024 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
Neurons rely on mitochondrial energy metabolism for essential functions like neurogenesis, neurotransmission, and synaptic plasticity. Mitochondrial dysfunctions are associated with neurodevelopmental disorders including Fragile X syndrome (FXS), the most common cause of inherited intellectual disability, which also presents with motor skill deficits. However, the precise role of mitochondria in the pathophysiology of FXS remains largely unknown. Notably, previous studies have linked the serotonergic system and mitochondrial activity to FXS. Our study investigates the potential therapeutic role of serotonin receptor 1A (5-HT1A) in FXS. Using the Drosophila model of FXS, we demonstrated that treatment with eltoprazine, a 5-HT1A agonist, can ameliorate synaptic transmission, correct mitochondrial deficits, and ultimately improve motor behavior. While these findings suggest that the 5-HT1A-mitochondrial axis may be a promising therapeutic target, further investigation is needed in the context of FXS.
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 Fundamental Neurosciences, University of Lausanne, 1005 Lausanne, Switzerland
2 Department of Fundamental Neurosciences, University of Lausanne, 1005 Lausanne, Switzerland; Department of Biomedicine and Prevention, University of Rome Tor Vergata, 00133 Rome, Italy