1. Introduction
Mammalian skeletal muscles are quite heterogeneous, containing muscle fibers with distinct structural (e.g., myosin heavy chain isoform, motor unit and fiber size, capillary and mitochondrial density), metabolic (e.g., myoglobin content, ATP production source, oxidative capacity) and functional (e.g., contraction velocity, force production, rate of fatigue development) properties [1]. Due to these characteristics, skeletal muscles are frequently labeled as ‘red’ or ‘white’, ‘oxidative’ or ‘glycolytic’, ‘slow-twitch’ or ‘fast-twitch’ depending on the ratio of the different fiber types they contain. Two major advantages that result from this heterogeneity between muscle fibers are, first, the ability of a skeletal muscle (containing both muscle fiber types) to participate in activities ranging from low-intensity efforts to fast and maximal contractions and, second, to demonstrate remarkable adaptability in response to diverse external (e.g., exercise training, environmental changes) and internal (e.g., substrate availability, inflammation) stimuli [2,3].
Few data exist in the literature regarding the redox profile of muscle fibers (e.g., Type I compared to Type II) or whole muscles (e.g., soleus compared to extensor digitorum longus) predominantly from studies using animal models (e.g., rodents) under diverse conditions, such as aging and disease [4,5]. Regarding exercise, which is probably the most potent physiological and non-pharmacological stimulus challenging redox homeostasis, the relevant data is fragmented [6,7]. This is of major importance, bearing in mind that redox processes are increasingly recognized as a fundamental part of skeletal muscle metabolism at rest as well as during and after exercise [8,9,10,11]. Thus, the purpose of the present review is to gather and synthesize, for the first time, the relevant data, and more specifically, the aim is three-fold: (i) to review the available literature about the redox properties of slow-twitch (oxidative) and fast-twitch (glycolytic) skeletal muscles at rest; (ii) to examine the respective redox profiles after chronic exercise training; and (iii) to present potential implications for future research design and interpretation.
Towards these aims and taking into consideration the wide methodological heterogeneity among exercise redox biology studies, the data presented herein were included irrespective of the analytical method applied for the assessment of redox status (e.g., ELISA, spectrophotometry or HPLC), the exercise training protocol implemented (e.g., resistance or endurance, continuous or interval) or the animal model used (mainly rats) in the original studies. Moreover, given the exploratory nature of the present review and the fact that most of the original studies did not investigate the redox differences between slow- and fast-twitch muscles but rather examined the differences between young and old, fed and unfed or trained and untrained groups, we focused on synthesizing the available descriptive data (i.e., percent differences) and did not perform further analyses. Finally, since most original studies presented their data only in figures (i.e., bar or line graphs), we used the WebPlotDigitizer web-based tool to extract the relevant data in spreadsheets [12].
2. Redox Profile of Skeletal Muscles
2.1. Catalase
Catalase is regarded as the ‘oldest’ antioxidant enzyme and catalyzes the decomposition of hydrogen peroxide into water and oxygen [13]. Taking into account that hydrogen peroxide features signaling properties regulating some of the most commonly investigated exercise adaptations, catalase received great attention in exercise redox biology studies. Most of the studies in the literature measured the activity of catalase, while only a few studies assessed gene expression via mRNA levels. Regarding enzyme activity, muscle oxidative capacity and catalase seem to be strongly associated since, in the majority of studies, slow-twitch muscles (i.e., muscles with the most Type I fibers and higher oxidative capacity) exhibited higher levels of catalase activity compared to fast-twitch muscles. In particular, the most characteristic and widely used oxidative muscle, the soleus, which features approximately 70–80% Type I fibers, demonstrated 300–745% higher catalase activity compared to the glycolytic region of the fast-twitch gastrocnemius muscle and 60–210% higher activity compared to its oxidative part [14,15,16,17,18], 25–410% higher activity compared to the extensor digitorum longus [6,7,14,19,20], 110–420% and 630% higher activity compared to the deep vastus lateralis and the superficial vastus lateralis, respectively [21,22], and finally 175% higher activity compared to the epitrochlearis [7]. It should be clarified that all the aforementioned muscles (i.e., glycolytic and oxidative gastrocnemius, extensor digitorum longus, deep and superficial vastus lateralis and epitrochlearis) are categorized as fast-twitch (Type IIa or IIb) and are, therefore, compared throughout the paper with the slow-twitch soleus muscle. Regarding mRNA levels of catalase, the results are conflicting, showing either similar or higher (up to 170%) levels in the glycolytic and oxidative gastrocnemius compared to the soleus, while the latter exhibited 300% higher catalase mRNA levels compared to the extensor digitorum longus [16,23,24].
2.2. Superoxide Dismutase
The discovery of the unique enzymatic activity of superoxide dismutase, namely the catalysis of the dismutation of superoxide radical into molecular oxygen and hydrogen peroxide, has been one of the milestones in redox biology history [25]. As the first enzymatic line of defense controlling the metabolism of the parent reactive oxygen species (i.e., superoxide), a large amount of work has been performed on superoxide dismutase, which has been assessed in exercise studies either as total SOD or separately for the two intracellular isoforms (i.e., CuZn-SOD and Mn-SOD). SOD activity in the soleus was higher compared to the glycolytic (40–425%) and oxidative gastrocnemius (10–195%) [15,16,18,24,26] as well as higher compared to the rectus femoris (60%) [27], deep vastus lateralis (from minor difference up to 115%) [21,22,28], superficial vastus lateralis (100%), plantaris (80%) [22] and epitrochlearis (40%), while it was similar to the extensor digitorum longus [7]. It should, however, be mentioned that occasionally the mixed and oxidative gastrocnemius have been reported to exhibit slightly higher (20% and 10%, respectively) SOD activity compared to the soleus [16,27]. Within the same muscle, differences have also been reported between heads or regions with different oxidative characteristics. For instance, the oxidative gastrocnemius exhibited 30–120% higher SOD activity compared to the glycolytic gastrocnemius [15,16,18,24,26], the medial head of triceps brachii has 70% and 35% greater SOD activity compared to the glycolytic and oxidative long heads, respectively [15], while superficial vastus lateralis exhibited slightly higher SOD activity compared to deep vastus lateralis [22].
Regarding specific SOD isoforms, CuZn-SOD activity was 235% higher in the soleus compared to the glycolytic gastrocnemius [17], 15–150% higher compared to the deep vastus lateralis and 125% higher compared to the superficial vastus lateralis [22,28], 65% higher compared to the extensor digitorum longus [19] and 95% higher compared to the plantaris [22]. Likewise, CuZn-SOD mRNA levels in the soleus are up to 130% higher compared to the glycolytic gastrocnemius [16,24], 200% higher compared to the deep vastus lateralis and almost similar compared to the superficial vastus lateralis [22], 35% higher compared to the extensor digitorum longus [23] and 40% higher compared to the plantaris [22]. Interestingly, CuZn-SOD mRNA levels are equal to or up to 40% higher in the oxidative gastrocnemius compared to the soleus and 40–140% compared to the glycolytic gastrocnemius [16,24].
Regarding Mn-SOD activity, the soleus exhibited 150% higher activity compared to the glycolytic gastrocnemius [17], 30% and 45% higher compared to the superficial vastus lateralis and the plantaris, respectively [22], and 20% higher compared to the extensor digitorum longus [19]. The results are conflicting for the deep vastus lateralis, which exhibits both higher by 42% [28] and lower by 20% Mn-SOD activity compared to the soleus [22]. Mn-SOD mRNA levels are 67% higher in the soleus compared to the deep vastus lateralis [22], lower by 155% and 110–195% compared to the superficial vastus lateralis [22] and oxidative gastrocnemius [16,24], respectively, and similar to the extensor digitorum longus [23]. The soleus exhibits similar [29] or higher Mn-SOD mRNA levels [22] compared to the plantaris, whereas there are contradictory findings concerning the glycolytic gastrocnemius, as it presents either 185% higher [24] or 55% lower Mn-SOD mRNA levels compared to the soleus [16].
2.3. Peroxiredoxins
Peroxiredoxins (Prx) are a family of antioxidant enzymes that control peroxide levels and fine-tune signal (redox) transduction in mammalian cells [30,31], while they have also been implicated in exercise metabolism [32,33]. We found only two studies to date that have assessed the mRNA levels of several peroxiredoxin isoforms in slow-(soleus) and fast-twitch (extensor digitorum longus and epitrochlearis) muscles [7,23]. In the first study, mRNA levels of Prx3, Prx5 and Prx6 were almost similar between the soleus and the extensor digitorum longus under control conditions [23]. In the second study, no conclusion can be drawn given that the data in the original manuscript are presented only for the experimental group (i.e., a high-fat diet-treated group of rats) in relation (fold change) to the control condition (i.e., standard diet) [7]. Thus, we could not calculate the difference between the three muscles (i.e., soleus, extensor digitorum longus and epitrochlearis) in terms of peroxiredoxin mRNA levels under control conditions. Given the key role of peroxiredoxins in hydrogen peroxide sensing and signal transduction [31], further studies are warranted to investigate the potential differences in the activity, content and mRNA levels of this family of enzymes among different muscles and in relation to exercise.
2.4. Glutathione and Related Enzymes
Glutathione is the most abundant non-protein thiol in the erythrocyte (≈1.7 mM; [34]) and serves diverse direct and indirect antioxidant roles [35]. In particular, it acts as a direct scavenger, as a substrate for glutathione peroxidase and as a recycling agent of vitamin C, which is interdependent with vitamin E. Thus, its role in exercise redox metabolism is central.
Herein, we will first present the available information on the reduced (GSH) and oxidized (GSSG) forms of glutathione as well as on their ratio and then will review the relevant data on its closely associated enzymes, namely glutathione reductase and peroxidase. Glutathione in the soleus was found to be up to 215% higher than in the deep vastus lateralis [21,28], 105% higher than the extensor digitorum longus and 18% higher than the epitrochlearis [7]. Some studies measured total glutathione and not the reduced or oxidized form separately and reported that total GSH in the extensor carpi radialis was slightly greater compared to the oxidative gastrocnemius, triceps and splenius, while the oxidative gastrocnemius exhibited 15% and 195% higher levels compared to the mixed vastus lateralis and longissimus dorsi, respectively [36]. Furthermore, the soleus exhibited from minor up to 200% greater total GSH concentration compared to the deep vastus lateralis [21,28]. Regarding glutathione disulfide, the oxidized form of glutathione (GSSG), the two aforementioned studies reported conflicting results, with the first presenting 25–50% higher values in the deep vastus lateralis than the soleus and the latter featuring 100% greater concentration in the soleus compared to the deep vastus lateralis [21,28]. Nevertheless, the soleus has a 50–110% higher GSH to GSSG ratio than the deep vastus lateralis [21,28]. Regarding reduced thiols, the soleus exhibited 37% to 134% and 20% to 42% higher concentrations compared to the glycolytic and oxidative gastrocnemius, respectively [16,24].
The activity of glutathione reductase (GR), the enzyme responsible for the recycling of GSH from GSSG using NADPH as substrate [37], in the oxidative gastrocnemius was 15%, 55%, 114%, 65% and 45% higher compared to the extensor carpi radialis, triceps, splenius, mixed vastus lateralis and longissimus dorsi, respectively [36], while the soleus exhibited 70–115% higher GR activity than the deep vastus lateralis [21,28]. The activity of glutathione peroxidase (GPx), which is critically involved among other functions in the reduction of H2O2 and lipid hydroperoxides [38], was found to be higher in the soleus compared to a large number of fast-twitch muscles, such as the glycolytic gastrocnemius (30–2680%), the oxidative gastrocnemius (5–290%), the mixed gastrocnemius (400%), the rectus femoris (2190%), the deep (180–690%) and superficial vastus lateralis (1765%) and the extensor digitorum longus (255%), as reported in several studies [15,16,17,18,19,21,22,24,26,27,28,39]. The oxidative gastrocnemius, the more oxidative head of the gastrocnemius, exhibited higher GPx activity than the extensor carpi radialis (42%), triceps (55%), MVL (118%), splenius (55%), longissimus dorsi (19%) and glycolytic gastrocnemius (74–1215%) [15,16,18,24,26,36]. Finally, the medial head of triceps brachii has 485% and 90% higher GPx activity compared to the glycolytic and oxidative long heads, respectively [15]. Regarding GPx mRNA levels, the oxidative gastrocnemius, glycolytic gastrocnemius and soleus presented almost the same mRNA levels [24]. However, GPx1 mRNA levels in the soleus were found to be 30% higher compared to the oxidative gastrocnemius, 1120% compared to the extensor digitorum longus, and up to 1310% compared to the glycolytic gastrocnemius [16,23]. As for GPx3 mRNA levels, the soleus exhibited 40% and 130% higher levels compared to the oxidative and glycolytic gastrocnemius, respectively [16]. Finally, thioredoxin reductase activity, which is dependent upon NADPH levels, in the soleus was 160% and 400% higher compared to the extensor digitorum longus and epitrochlearis, respectively [7].
2.5. Oxidation Products
Oxidation products are the most commonly used biomarkers (also known as ‘fingerprints’) of oxidative stress used in the literature and are actually the products of the reaction between reactive species and biomolecules, such as proteins, lipids and DNA [40]. Despite their wide use, oxidative stress biomarkers have been criticized for their limited mechanistic insights (e.g., which reactive species has been involved, which pathway has been affected). However, their potential to report on redox status and monitor a condition longitudinally serves as a major advantage. Two oxidative stress biomarkers, a lipid peroxidation product (malondialdehyde; MDA) and a protein oxidation product (protein carbonyls), have been measured in slow- and fast-twitch muscles. In all studies, MDA was assessed via thiobarbituric acid reactive substances (TBARS), which have been highly criticized as biomarkers of oxidative stress [41]; however, these analytical issues are beyond the scope of the present review. Based on the available literature, MDA levels in the soleus were 2385% higher compared to the mixed gastrocnemius [42], 20–570% higher than the glycolytic gastrocnemius [17,26], 15% higher than the oxidative gastrocnemius [26], 10–415% higher than the deep vastus lateralis [21,28] and 68% higher than the vastus lateralis [42]. Based on these data, it could be argued that slow-twitch muscles seem to present higher levels of MDA; however, some studies reported 55% and 60% higher levels in the plantaris muscle [29] and in the extensor digitorum longus [42], which are both fast-twitch muscles, compared to the soleus, respectively. Regarding protein carbonyls, to the best of our knowledge, only one study measured their concentration in rat mitochondria from the tibialis anterior muscle (which is mainly composed of fast-twitch muscle fibers) and was found to be 22% higher compared to the respective values in the soleus [43].
2.6. Reactive Species Production
Identifying the cellular sources and the precise reactive species produced under diverse conditions, as well as quantifying their concentration, are of paramount importance in defining their role in biology [44,45]. NADPH oxidases and mitochondria are considered the major sources of reactive species in skeletal muscles and other tissues [46,47,48]. Regarding the activity of NADPH oxidases as assessed by hydrogen peroxide (H2O2) production, the soleus exhibited minor up to 60% higher activity compared to the oxidative gastrocnemius, whereas the findings for the soleus relative to the glycolytic gastrocnemius are controversial, ranging from −95% to +140% activity [16,24]. With respect to mRNA levels of NADPH oxidases in these muscles, data are again controversial between studies, reporting either 115% and 65% higher or 15% and 60% lower NOX2 mRNA levels in the soleus compared to the glycolytic and oxidative gastrocnemius, respectively [16,24]. Regarding NOX4 mRNA levels, the soleus exhibited similar or 170% higher levels compared to the glycolytic gastrocnemius, whereas the respective levels were either 60% higher or 40% lower compared to the oxidative gastrocnemius. Finally, dual oxidase 1 (an oxidase that produces hydrogen peroxide; DUOX1) mRNA levels were 20% higher and almost similar in the soleus compared to the glycolytic and oxidative gastrocnemius, respectively [16]. Similar to peroxiredoxins, data could not be extracted from Pinho et al. (2017) [7] concerning the expression of the different subunits of the NADPH oxidases (i.e., gp91phox, p47phox and p67phox). Beyond NADPH oxidases, three different studies measured H2O2 production/emission from mitochondria in slow- and fast-twitch muscles [6,7,43]. More specifically, the tibialis anterior demonstrated 166%, the extensor digitorum longus 116% (normalized for citrate synthase 400%), the epitrochlearis 185% and the mixed gastrocnemius 90% greater mitochondrial H2O2 production compared to the soleus. Along with the soleus, Picard et al. (2012) [6] also used the adductor longus, another slow-twitch muscle. The extensor digitorum longus and the mixed gastrocnemius exhibited 130% and 105% greater mitochondrial H2O2 production compared to the adductor longus, respectively. No difference was found between the two slow-twitch muscles, the soleus and the adductor longus. Finally, the study by Oyenihi et al. (2019) [42] quantified total reactive species production via a 2′,7′-dichlorodihydrofluorescein (DCF) probe and reported 35% and 145% higher production in the soleus compared to the extensor digitorum longus and gastrocnemius, and similar production between the soleus and the vastus lateralis. Apparently, further (exercise) studies are needed in an effort to reveal the exact reactive species that are involved in specific skeletal muscle responses and adaptations. However, this requires sophisticated and expensive tools (i.e., biosensors and techniques) and specialized analytical skills.
2.7. Brief Synopsis
Based on the available literature (Table 1), it seems that at rest (i) antioxidant enzymes exhibit higher activity in slow-twitch (oxidative) skeletal muscles compared to fast-twitch (glycolytic) muscles; (ii) even within a skeletal muscle, heads or regions with higher oxidative capacity (e.g., oxidative vs. glycolytic gastrocnemius, deep vs. superficial vastus lateralis or triceps brachii oxidative vs. glycolytic long head) present higher antioxidant enzyme activity; (iii) the data about the mRNA levels of redox enzymes (e.g., SOD, GPx and NADPH oxidases) are conflicting between slow- and fast-twitch skeletal muscles, even for the different isoforms, such as Mn-SOD versus CuZn-SOD and NOX2 versus NOX4; (iv) slow-twitch muscles exhibit higher content of glutathione and reduced thiols compared to fast-twitch muscles; (v) slow-twitch muscles exhibit higher levels of lipid peroxidation (as assessed by the questionable TBA assay); (vi) fast-twitch muscles exhibit higher mitochondrial H2O2 production compared to slow-twitch muscles.
3. Redox Profile of Skeletal Muscles after a Training Intervention
3.1. Catalase
As with untrained conditions, muscles with higher oxidative capacities presented higher catalase activity levels compared to less oxidative/glycolytic muscles. More specifically, the soleus predominates as the muscle with the highest catalase activity in comparison with the glycolytic gastrocnemius (90–530%) [15,17,24], the oxidative gastrocnemius (145%) [15], the deep vastus lateralis (99–125%) [21,22], the superficial vastus lateralis (335%) [22] and the extensor digitorum longus (170%) [20]. Interestingly, even within the same muscle, heads with different oxidative properties exhibit different redox characteristics. In particular, the oxidative gastrocnemius has 155% higher catalase activity compared to the glycolytic gastrocnemius, and the triceps brachii oxidative long head has 100% higher activity compared to the glycolytic long head, while the triceps brachii medial head has 115% and 335% higher catalase activity compared to oxidative and glycolytic long heads, respectively [15]. Regarding catalase mRNA levels after the training interventions, data are scarce showing that the glycolytic gastrocnemius and the soleus exhibit almost identical levels; however, the oxidative gastrocnemius exhibits more than 120% higher mRNA levels compared to the glycolytic gastrocnemius and the soleus [24].
3.2. Superoxide Dismutase
After exercise training, the soleus exhibited 80–290% higher SOD activity compared to the glycolytic gastrocnemius and up to 100% higher compared to the oxidative gastrocnemius [15,24,26], 45–65% compared to the mixed gastrocnemius, 100–110% more than the rectus femoris [27] as well as 160% and 130% more than the plantaris and the superficial vastus lateralis, respectively [22]. Data are conflicting regarding SOD activity between the soleus and the deep vastus lateralis, with some studies reporting 18–50% higher levels in the soleus and other studies showing 25–38% higher levels in the deep vastus lateralis [21,22,28]. Of note, SOD activity in the oxidative gastrocnemius was 40–290% higher compared to the glycolytic gastrocnemius [15,24,26], while the triceps brachii medial head presented 195% and 90% higher SOD activity compared to the glycolytic and oxidative long head, respectively [15].
Regarding the different SOD isoforms, exercise training also induced significant increases in both CuZn-SOD activity and CuZn-SOD mRNA levels. The post-training soleus exhibited 400% higher CuZn-SOD activity compared to the glycolytic gastrocnemius [17], 185% higher values compared to the plantaris and 125% compared to the superficial vastus lateralis [22]. Also, in some studies, the deep vastus lateralis exhibited 25% higher CuZn-SOD activity compared to the soleus, while in others, it was 75% lower [22,28]. With regard to CuZn-SOD mRNA levels, the oxidative gastrocnemius showed 1720% and 100% greater values compared to the glycolytic gastrocnemius and the soleus, respectively, whereas soleus exhibited 810% greater compared to the glycolytic gastrocnemius [24]. Finally, the soleus exhibited 215%, 145% and 40% greater CuZn-SOD mRNA levels against the deep vastus lateralis, the plantaris and the superficial vastus lateralis, respectively [22].
Likewise, post-training Mn-SOD activity was 15–25% higher in the deep vastus lateralis against the soleus [22,28], as well as 540% and 75% higher in the soleus compared to the glycolytic gastrocnemius [17] and the superficial vastus lateralis [22], respectively. Similar to CuZn-SOD, post-training Mn-SOD mRNA levels in the oxidative gastrocnemius were higher by 45% and 98% compared to the soleus and the glycolytic gastrocnemius, respectively, and 35% higher in the soleus compared to the glycolytic gastrocnemius [24]. The soleus also exhibited 35% and 90% higher Mn-SOD m-RNA levels compared to the deep vastus lateralis and the plantaris, respectively [22].
3.3. Glutathione and Related Enzymes
After the training period, conflicting results have been reported both for the reduced and total GSH levels between the soleus and the deep vastus lateralis [21,28]. Regarding total GSH, 38%, 40% and 55% higher levels were found in the oxidative gastrocnemius compared to the extensor carpi radialis, triceps and splenius, respectively, 20% greater than the mixed vastus lateralis and 205% than the longissimus dorsi [36]. Yet, the mixed vastus lateralis had 160% higher total GSH values than the longissimus dorsi after the training interventions, almost the same as pre-training [36]. As far as GSSG is concerned, the same conflicting results were reported between the deep vastus lateralis and the soleus; however, the soleus exhibited a 35–90% higher GSH to GSSG ratio compared to the deep vastus lateralis even after the training period [21,28]. In addition, the soleus demonstrated 17% and 38% higher reduced thiol content compared to the oxidative and glycolytic gastrocnemius, respectively [24].
Regarding GR activity, post-training oxidative gastrocnemius levels were 5%, 68%, 130%, 45% and 20% higher compared to the extensor carpi radialis, triceps, splenius, mixed vastus lateralis and longissimus dorsi, respectively [36]. The soleus exhibited 55–85% greater GR activity than the deep vastus lateralis, while the longissimus dorsi had 20% higher levels compared to the mixed vastus lateralis [21,28,36]. Relating to GPx activity after the training interventions, all the included studies in this review concluded that the soleus, when compared with any other muscle, exhibited by far the highest levels. More specifically, the soleus exhibited higher GPx activity compared to the glycolytic gastrocnemius (15–1590%), the oxidative gastrocnemius (112–365%), the mixed gastrocnemius (406–487%), the rectus femoris (1592–1733%) and the deep (101–243%) and superficial vastus lateralis (1956%) [15,17,21,22,24,26,27,28]. The oxidative gastrocnemius showed higher GPx activity compared to the extensor carpi radialis (39%), triceps (78%), mixed vastus lateralis (112%), splenius (118%), longissimus dorsi (30%) and glycolytic gastrocnemius (253–692%) [15,24,26,36]. Post-exercise GPx mRNA levels in the oxidative gastrocnemius were 65% higher compared to the glycolytic gastrocnemius, while they also appeared 27% higher compared to the soleus [24].
3.4. Oxidation Products
Regarding oxidation products post-training, lipid peroxidation, as assessed via MDA levels (TBA assay), was higher in oxidative muscles compared to the glycolytic ones. In particular, the soleus exhibited 450–675% higher levels compared to the glycolytic gastrocnemius, comparable levels compared to the oxidative gastrocnemius and 45–300% higher values in comparison with the deep vastus lateralis [21,28]. Of note, within the gastrocnemius muscle, the oxidative gastrocnemius head shows 325–510% higher MDA levels as opposed to the more glycolytic head glycolytic gastrocnemius post-training [17,21,26,28]. It should, however, be clarified that the two studies that reported higher MDA levels in two glycolytic muscles, namely the plantaris and the extensor digitorum longus, compared to the soleus at rest [29,42], did not apply an exercise training protocol. Instead, the first one implemented a nutritional treatment [29] and showed 42% higher levels of MDA in the plantaris compared to the soleus, while the second one [42] used a model of rheumatoid arthritis and reported similar levels of MDA in the extensor digitorum longus and the soleus post-intervention.
3.5. Reactive Species Production
Post-training, NADPH oxidase activity (assessed by H2O2 production) was 100–190% higher in the soleus compared to the glycolytic gastrocnemius and up to 50% higher in the soleus compared to the oxidative gastrocnemius [16,24]. With respect to mRNA levels of NADPH oxidases in these muscles, NOX2 mRNA levels in the glycolytic and oxidative gastrocnemius were 50–720% and 225–690% higher compared to the soleus, respectively [16,24]. Contrary to NOX2, NOX4 mRNA levels were more than 110% and 30–110% higher in the soleus compared to glycolytic and oxidative gastrocnemius, respectively [16,24]. Finally, DUOX1 mRNA levels, such as NOX2, were 40% and 25% higher in the glycolytic and oxidative gastrocnemius compared to the soleus, respectively [16]. None of the three studies that measured mitochondrial H2O2 production applied an exercise training protocol. One of them used a high-fat diet protocol and reported much lower H2O2 production in the soleus compared to the extensor digitorum longus and the epitrochlearis [7], while the other one treated mitochondria obtained from the soleus and the tibialis anterior of young rats with glutamate, malate and antimycin A and reported slightly higher H2O2 production in the soleus compared to tibialis anterior [43].
3.6. Brief Synopsis
In general, the findings after training are largely similar to those without training (Table 2). More specifically, it seems that in post-exercise training (i) antioxidant enzymes still exhibit higher activity in slow-twitch (oxidative) muscles compared to fast-twitch (glycolytic) muscles; (ii) similar to pre-training, within a muscle, heads or regions with higher oxidative capacity present higher antioxidant enzyme activity; (iii) interestingly, the deep vastus lateralis and the oxidative gastrocnemius, which belong to Type IIa muscles exhibit remarkably higher activity and mRNA levels of redox enzymes as well as glutathione levels compared to fast-twitch muscles that belong to Type IIb; (iv) data on mRNA levels of redox enzymes are still conflicting between slow- and fast-twitch muscles after training (e.g., Mn-SOD versus CuZn-SOD and NOX2 versus NOX4); (iv) slow-twitch muscles exhibit higher content of glutathione and reduced thiols compared to fast-twitch muscles; (v) slow-twitch muscles as well as heads and regions with higher oxidative capacity exhibit higher levels of lipid peroxidation (as assessed by the questionable TBA assay).
4. Discussion
This is the first review article that aimed to investigate if slow- and fast-twitch skeletal muscles exhibit different redox properties prior to and after an exercise training period, as assessed through antioxidant enzymes (activity and mRNA levels), glutathione metabolism, oxidative stress biomarkers and reactive species production. Most of the evidence presented herein indicates that slow-twitch skeletal muscles, as represented almost exclusively in the literature by the soleus muscle of rats, exhibit higher antioxidant enzyme activity compared to fast-twitch muscles both pre- and post-training. Of note, this was also the case between different heads or regions of fast-twitch skeletal muscles with partially different oxidative capacities, such as between oxidative and glycolytic gastrocnemius heads or deep and superficial vastus lateralis. Contrary to enzyme activity, data on the mRNA levels of antioxidant enzymes are conflicting. The difference between the mRNA levels of antioxidant enzymes and their activity could be partially explained by the intermediary steps between a signal (e.g., exercise-induced reactive species production) that triggers their dynamic expression involving the transcriptional regulatory element ‘Antioxidant Response Element’ (e.g., via the Keap1/Nrf2/ARE system), and their function. These steps include a variety of post-transcriptional and post-translational modifications, such as S-glutathionylation, S-nitrosation and ubiquitination. Furthermore, mRNA levels in trained and untrained states do not necessarily differ at resting conditions but only acutely after exercise. In addition, slow-twitch skeletal muscles present higher glutathione and reduced thiol content, as well as higher lipid peroxidation levels compared to fast-twitch muscles. Finally, mitochondrial hydrogen peroxide production was higher in fast-twitch skeletal muscles compared to slow-twitch muscles prior to exercise training, but no relevant data exist for post-training conditions.
Taking into account (i) the small number of available studies, (ii) the wide heterogeneity between them in terms of research methodology and analysis of redox measurements (i.e., assay used and biomarker analyzed), and (iii) the lack of physiological readouts in the original studies (i.e., muscle function or performance), no causal evidence can be established about a potential metabolic or functional impact of the dissimilar redox profile between slow- and fast-twitch muscles [49]. However, some plausible implications could be speculated. For instance, several exercise studies apply protocols on specific muscle groups or assess their function via isokinetic dynamometry. It would be, therefore, informative to know if isolated slow- and fast-twitch muscles regulate or adjust their redox and energetic metabolism [50] differently during or after an acute resistance and strength [51,52], endurance [53,54] or sprint and high-intensity interval [55,56] exercise sessions.
In the same context, the preliminary findings of the present review may be of interest to researchers conducting in vitro and ex vivo studies using muscle fibers. For instance, when exposing muscle fibers to a reactive species (e.g., hydrogen peroxide or 2,2′-dithiodipyridine) or an antioxidant (e.g., dithiothreitol or glutathione) to investigate the biochemical (e.g., calcium release) and functional (e.g., force production) consequences, we believe that it is critical to know if muscle fibers are Type I or Type II [57,58]. Considering, for example, that reduced glutathione concentration is much higher in Type I fibers compared to Type II, while mitochondrial hydrogen peroxide production is higher in fast-twitch muscles (muscles with more Type II fibers), then any treatment that affects glutathione levels (e.g., use of cysteine; [59]) or mitochondrial redox state (e.g., use of mitoQ; [60]) will possibly lead to different outcomes, depending on the muscle fiber type used.
A similar situation could also be true for studies that apply electrical stimulation to isolated muscle fibers [61]. Despite the fact that great advances have been made in identifying the sources of reactive species during and after exercise [47,62], it would be interesting to know if Type I and Type II fibers exhibit the same production pattern in terms of sources, magnitude and time course. This, in turn, could possibly facilitate the unraveling of the role of reactive species in specific muscle responses and adaptations (e.g., fatigue) or add arguments to the long-lasting debate in the literature regarding the uncertain health-promoting potential of antioxidant supplements [63].
5. Limitations
Some limitations of the present work should be acknowledged. First, given the exploratory nature of the present review to investigate, at a preliminary stage, the potentially different redox properties of slow- and fast-twitch muscles, no inferential statistics were performed [64]. Some critical reasons as to why we did not proceed with further analyses were the small number of original studies that compared slow- and fast-twitch muscles side-by-side and the large heterogeneity in their methodology in terms of redox biomarkers evaluated, and especially the analytical methods applied, which is always a matter of concern in redox biology literature [65,66,67,68,69]. The small number of studies that compared muscles side-by-side was also the reason why we did not evaluate other redox biomarkers, such as antioxidant enzyme protein content or DNA oxidation biomarkers (e.g., 8-OHdG). Second, although some original studies implemented an experimental intervention, such as nutrition (e.g., high-fat diet), disease (e.g., rheumatoid arthritis) or aging, we limited our synthesis in young and healthy groups with or without the application of an exercise training protocol. Thus, our findings should not be extrapolated to aged or diseased populations. Third, the soleus was exclusively used by all studies as the archetypical slow-twitch muscle as opposed to the wide spectrum of fast-twitch muscles analyzed. Finally, the post-training data are less or even non-existent for some redox biomarkers, such as for protein carbonyls and peroxiredoxins; thus, further work is warranted to draw safer conclusions for the post-training condition.
6. Conclusions
Our analysis demonstrated that, beyond the well-known differences in structural, metabolic and functional characteristics, different types of skeletal muscle fibers also have remarkably different redox profiles. Bearing in mind the fundamental role of redox biology processes in human physiology, the reported redox heterogeneity between muscle fiber types–and, as a result, between slow- and fast-twitch muscles–should be taken into account when conducting exercise or muscle physiology studies.
Conceptualization: O.V., G.G.N., S.M. and N.V.M.; Methodology: P.N.C., S.M. and N.V.M.; Writing-original draft preparation: O.V., G.G.N. and D.P.; Writing-review and editing: P.N.C., S.M., D.I.V. and N.V.M.; Supervision: N.V.M. All authors have read and agreed to the published version of the manuscript.
Not applicable.
Not applicable.
No new data were created or analyzed in this study. Data sharing is not applicable to this article.
The authors declare no conflict 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.
Characteristics of the included studies and their findings.
Article | Sample Species | Biomarkers | Percentages (% Differences between Muscles) |
---|---|---|---|
Anderson and Neufer |
RATS |
GPx (activity) |
107.07% higher in the soleus vs. the glycolytic gastrocnemius |
Capel et al., |
RATS |
Mitochondrial protein |
Young |
Glutamate/malate supported H2O2 release |
Young |
||
Criswell et al., |
RATS |
SOD (activity) |
19.07% higher in the gastrocnemius vs. the soleus |
GPx (activity) |
401.39% higher in the soleus vs. the gastrocnemius |
||
Ehara et al., |
RATS |
CAT (mRNA levels) |
299.84% higher in the soleus vs. the extensor digitorum longus |
CuZn-SOD (mRNA levels) |
33.33% higher in the soleus vs. the extensor digitorum longus | ||
Mn-SOD (mRNA levels) |
3.36% higher in the extensor digitorum longus vs. the soleus | ||
Prx3 (mRNA levels) |
6.98% higher in the extensor digitorum longus vs. the soleus | ||
Prx5 (mRNA levels) |
2.17% higher in the soleus vs. the extensor digitorum longus | ||
Prx6 (mRNA levels) |
5.49% higher in the soleus vs. the extensor digitorum longus | ||
GPx1 (mRNA levels) |
1121.41% higher in the soleus vs. the extensor digitorum longus | ||
Hirabayashi et al., 2021 [ |
RATS |
Mn-SOD (mRNA levels) |
Control |
MDA (content) |
Control |
||
Hollander et al., 1999 [ |
RATS |
CAT (activity) |
422.03% higher in the soleus vs. the deep vastus lateralis |
SOD (activity) |
116% higher in the soleus vs. the deep vastus lateralis |
||
CuZn-SOD (activity) |
148.18% higher in the soleus vs. the deep vastus lateralis |
||
CuZn-SOD (mRNA levels) |
200.55% higher in the soleus vs. the deep vastus lateralis |
||
Mn-SOD (activity) |
16.94% higher in the soleus vs. the deep vastus lateralis |
||
Mn-SOD (mRNA levels) |
67.45% higher in the soleus vs. the deep vastus lateralis |
||
GPx (activity) |
689.60% higher in the soleus vs. the deep vastus lateralis |
||
Jenkins and Tengi |
RATS AND HAMSTERS |
CAT (activity) |
121.15% higher in the soleus vs. the extensor digitorum longus (95.65% in hamsters) |
Laughlin et al., |
RATS |
CAT (activity) |
746.15% higher in the soleus vs. the glycolytic gastrocnemius |
SOD (activity) |
71.59% higher in the medial head triceps brachii vs. the glycolytic long head triceps |
||
GPx (activity) |
484.61% higher in the medial head triceps brachii vs. the glycolytic long head triceps |
||
Lawler et al., |
RATS |
SOD (activity) |
Young control |
GPx (activity) |
Young control |
||
MDA (content) |
Young control |
||
Leeuwenburgh et al., 1994 [ |
RATS |
CAT (activity) |
Young control |
SOD (activity) |
Young control |
||
GSH (content) |
Young control |
||
Total GSH (content) |
Young control |
||
GSSG (content) |
Young control |
||
GSH:GSSG |
Young control |
||
GR (activity) |
Young control |
||
GPx (activity) |
Young control |
||
MDA (content) |
Young control |
||
Leeuwenburgh et al., 1997 [ |
RATS |
SOD (activity) |
1.33% higher in the soleus vs. the deep vastus lateralis |
CuZn-SOD (activity) |
14.11% higher in the soleus vs. the deep vastus lateralis | ||
Mn-SOD (activity) |
42.49% higher in the deep vastus lateralis vs. the soleus | ||
GSH (content) |
214.28% higher in the soleus vs. the deep vastus lateralis | ||
Total GSH (content) |
200% higher in the soleus vs. the deep vastus lateralis | ||
GSSG (content) |
100% higher in the soleus vs. the deep vastus lateralis | ||
GSH:GSSG |
51.65% higher in the soleus vs. the deep vastus lateralis | ||
GR (activity) |
97.18% higher in the soleus vs. the deep vastus lateralis |
||
Loureiro et al., 2016 [ |
RATS |
CAT (activity) |
344.71% higher in the soleus vs. the glycolytic gastrocnemius |
CAT (mRNA levels) |
2% higher in the glycolytic gastrocnemius vs. the soleus |
||
SOD (activity) |
66.51% higher in the oxidative vs. glycolytic gastrocnemius |
||
CuZn-SOD (mRNA levels) |
138.97% higher in the oxidative vs. glycolytic gastrocnemius |
||
Mn-SOD (mRNA levels) |
54.55% higher in the soleus vs. the glycolytic gastrocnemius |
||
Reduced thiols (content) |
36.65% higher in the soleus vs. the glycolytic gastrocnemius |
||
GPx (activity) |
432.86% higher in the oxidative vs. the glycolytic gastrocnemius |
||
GPx 1 (mRNA levels) |
1312.42% higher in soleus vs. the glycolytic gastrocnemius |
||
GPx 3 (mRNA levels) |
131.48% higher in soleus vs. the glycolytic gastrocnemius |
||
NADPH oxidase (activity) |
138.04% higher in the soleus vs. the glycolytic gastrocnemius |
||
NOX2 (mRNA levels) |
114.59% higher in the soleus vs. the glycolytic gastrocnemius |
||
NOX4 (mRNA levels) |
169.54% higher in the soleus vs. the glycolytic gastrocnemius |
||
DUOX1 (mRNA levels) |
19.04% higher in the soleus vs. the glycolytic gastrocnemius |
||
Oh ishi et al., |
RATS |
CAT (activity) |
Young |
CuZn-SOD (activity) |
Young |
||
Mn-SOD (activity) |
Young |
||
GPx (activity) |
Young |
||
Osório Alves |
RATS |
CAT (mRNA levels) |
116.74% higher in the glycolytic gastrocnemius vs. the soleus |
SOD (activity) |
79.13% higher in the oxidative vs. glycolytic gastrocnemius |
||
CuZn-SOD (mRNA levels) [qPCR] | The same in the soleus vs. the glycolytic gastrocnemius |
||
Mn-SOD (mRNA levels) [qPCR] | 182.5% higher in the glycolytic gastrocnemius vs. the soleus |
||
Reduced thiols (content) |
133.57% higher in the soleus vs. the glycolytic gastrocnemius |
||
GPx (activity) |
74.29% higher in the oxidative vs. glycolytic gastrocnemius |
||
GPx (mRNA levels) |
1.58% higher in the oxidative vs. the glycolytic gastrocnemius |
||
NADPH oxidase (activity) |
95.45% higher in the glycolytic gastrocnemius vs. the soleus |
||
NOX2 (mRNA levels) |
14.07% higher in the glycolytic gastrocnemius vs. the soleus |
||
NOX4 (mRNA levels) |
0.95% higher in the soleus vs. the glycolytic gastrocnemius |
||
Oyenihi et al., 2019 [ |
RATS |
TBARS (content) |
2385.20% higher in the soleus vs. the gastrocnemius |
Total ROS (IU) |
146.98% higher in the soleus vs. the gastrocnemius |
||
Pereira et al., |
RATS |
CAT (activity) |
500% higher in the soleus vs. the glycolytic gastrocnemius |
CuZn-SOD (activity) |
235.71% higher in the soleus vs. the glycolytic gastrocnemius | ||
Mn-SOD (activity) |
150% higher in the soleus vs. glycolytic gastrocnemius | ||
GPx (activity) |
30.43% higher in soleus vs. the glycolytic gastrocnemius | ||
TBARS (content) |
20% higher in the soleus vs. the glycolytic gastrocnemius | ||
Picard |
H2O2 release |
115.61% higher in the extensor digitorum longus vs. the soleus |
|
Pinho et al., |
RATS |
CAT (activity) |
Standard chow |
SOD (activity) |
Standard chow |
||
GSH (content) |
Standard chow |
||
Thioredoxin Reductase (activity) |
Standard chow |
||
Mitochondrial H2O2 emission potential |
Standard chow |
||
Plant et al., |
RATS |
CAT (activity) |
25.84% higher in the soleus vs. the extensor digitorum longus |
Powers et al., 1994 [ |
RATS |
CAT (activity) |
333.02% higher in the soleus vs. the glycolytic gastrocnemius |
SOD (activity) |
52.03% higher in the oxidative vs. glycolytic gastrocnemius |
||
GPx (activity) |
397.29% higher in the oxidative vs. glycolytic gastrocnemius |
||
Sen et al., |
DOGS |
Total GSH (content) |
0.64% higher in the extensor carpi radialis vs. the oxidative gastrocnemius |
GR (activity) |
13.82% higher in the oxidative gastrocnemius vs. the extensor carpi radialis |
||
GPx (activity) |
41.62% higher in the oxidative gastrocnemius vs. the extensor carpi radialis |
||
RATS |
Total GSH (content) |
13.33% higher in the oxidative gastrocnemius vs. the mixed vastus lateralis |
|
GR (activity) |
64.29% higher in the oxidative gastrocnemius vs. the mixed vastus lateralis |
||
GPx (activity) |
117.68% higher in the oxidative gastrocnemius vs. the mixed vastus lateralis |
CAT: Catalase; CuZn-SOD: copper/zinc superoxide dismutase; DUOX1: dual oxidase 1; GPx: glutathione peroxidase; GR: glutathione reductase; GSH: glutathione; GSSG: glutathione disulfide; MDA: malondialdehyde; Mn-SOD: manganese superoxide dismutase; NADPH: nicotinamide adenine dinucleotide phosphate; NOX2: NADPH oxidase 2; NOX4: NADPH oxidase 4; Prx: peroxiredoxins; ROS: reactive oxygen species; SOD: superoxide dismutase; TBARS: thiobarbituric acid reactive substances.
Characteristics of the included exercise studies and their findings.
Article | Species | Intervention | Biomarkers | Differences between Muscles |
---|---|---|---|---|
Criswell et al., |
RATS |
Treadmill running |
SOD (activity) |
Continuous |
GPx (activity) |
Continuous |
|||
Hollander et al., 1999 [ |
RATS |
Two-week treadmill exercise before initiation of the training protocol |
CAT (activity) |
99.39% higher in the soleus vs. the deep vastus lateralis |
SOD (activity) |
50% higher in the soleus vs. the deep vastus lateralis |
|||
CuZn-SOD |
75.18% higher in the soleus vs. the deep vastus lateralis |
|||
CuZn-SOD (mRNA levels) |
216.54% higher in the soleus vs. the deep vastus lateralis |
|||
Mn-SOD |
13.82% higher in the deep vastus lateralis vs. the soleus |
|||
Mn-SOD (mRNA levels) |
34.57% higher in the soleus vs. the deep vastus lateralis |
|||
GPx (activity) |
183.49% higher in the soleus vs. the deep vastus lateralis |
|||
Laughlin et al., |
RATS |
Modified Stanhope rodent treadmill |
CAT (activity) |
100% higher in the oxidative vs. glycolytic long head triceps brachii |
SOD (activity) |
196.89% higher in the medial head triceps brachii vs. the glycolytic long head triceps |
|||
GPx (activity) |
691.66% higher in the oxidative vs. glycolytic gastrocnemius |
|||
Lawler et al., |
RATS |
Treadmill running |
SOD (activity) |
Young trained |
GPx (activity) |
Young trained |
|||
MDA |
Young trained |
|||
Leeuwenburgh et al., 1994 [ |
RATS |
Quinton small-animal treadmill running—10 weeks |
CAT (activity) |
Young trained |
SOD (activity) |
Young trained |
|||
GSH |
Young trained |
|||
Total GSH |
Young trained |
|||
GSSG |
Young trained |
|||
GSH:GSSG |
Young trained |
|||
GR (activity) |
Young trained |
|||
GPx (activity) |
Young trained |
|||
MDA |
Young trained |
|||
Leeuwenburgh et al., 1997 [ |
RATS |
Quinton rodent treadmill running |
SOD (activity) |
24.52% higher in the deep vastus lateralis vs. the soleus |
CuZn-SOD (activity) |
24.54% higher in the deep vastus lateralis vs. the soleus | |||
Mn-SOD (activity) |
23.19% higher in the deep vastus lateralis vs. the soleus | |||
GSH (content) |
104.30% higher in the soleus vs. the deep vastus lateralis | |||
GSSG |
50% higher in the soleus vs. the deep vastus lateralis | |||
GSH:GSSG |
40.25% higher in the soleus vs. the deep vastus lateralis | |||
GR (activity) |
55.84% higher in the soleus vs. the deep vastus lateralis | |||
GPx (activity) |
180.95% higher in the soleus vs. the deep vastus lateralis | |||
MDA |
301.53% higher in the soleus vs. the deep vastus lateralis | |||
Loureiro et al., 2016 [ |
RATS |
~60% of Maximum Speed Testing (maximal lactate steady state) |
NADPH oxidase (activity) |
190.73% higher in the soleus vs. the glycolytic gastrocnemius |
NOX2 (mRNA levels) |
50.96% higher in the glycolytic gastrocnemius vs. the soleus |
|||
NOX4 (mRNA levels) |
113.76% higher in the soleus vs. the glycolytic gastrocnemius |
|||
DUOX1 (mRNA levels) |
41.92% higher in the glycolytic gastrocnemius vs. the soleus |
|||
Osório Alves |
RATS |
Rodent treadmill |
CAT (activity) |
90.01% higher in the soleus vs. the glycolytic gastrocnemius |
CAT (mRNA levels) |
124.32% higher in the oxidative vs. glycolytic gastrocnemius |
|||
SOD (activity) [Spectrophotometry] | 291.23% higher in the oxidative vs. the glycolytic gastrocnemius |
|||
CuZn-SOD (mRNA levels) [qPCR] | 1717.56% higher in the oxidative vs. glycolytic gastrocnemius |
|||
Mn-SOD (mRNA levels) [qPCR] | 98.03% higher in the oxidative vs. glycolytic gastrocnemius |
|||
Reduced thiols (content) |
38.03% higher in the soleus vs. the glycolytic gastrocnemius |
|||
GPx (activity) |
524.48% higher in the oxidative vs. glycolytic gastrocnemius |
|||
GPx 1 (mRNA levels) |
66.43% higher in the oxidative vs. the glycolytic gastrocnemius |
|||
NADPH oxidase (activity) |
100.71% higher in the soleus vs. the glycolytic gastrocnemius |
|||
NOX2 (mRNA levels) |
720.38% higher in the glycolytic gastrocnemius vs. the soleus |
|||
NOX4 (mRNA levels) |
114.40% higher in the soleus vs. the glycolytic gastrocnemius |
|||
Pereira et al., |
RATS |
Swimming |
CAT (activity) |
150% higher in the soleus vs. the glycolytic gastrocnemius |
CuZn-SOD (activity) |
400% higher in the soleus vs. the glycolytic gastrocnemius | |||
Mn-SOD (activity) |
541.66% higher in the soleus vs. the glycolytic gastrocnemius | |||
GPx (activity) |
15.38% higher in the soleus vs. the glycolytic gastrocnemius | |||
TBARS |
17.85% higher in the soleus vs. the glycolytic gastrocnemius | |||
Plant et al., |
RATS |
Ten-lane enclosed treadmill |
CAT (activity) [Spectrophotometry] | 171.55% higher in the soleus vs. the extensor digitorum longus |
Sen et al., |
DOGS |
Ten-track treadmill for dogs |
Total GSH |
37.88% higher in the oxidative gastrocnemius vs. the extensor carpi radialis |
GR (activity) |
6.16% higher in the oxidative gastrocnemius vs. the extensor carpi radialis |
|||
GPx (activity) |
39.08% higher in the oxidative gastrocnemius vs. the extensor carpi radialis |
|||
RATS |
Treadmill (for small animals) |
Total GSH |
17.8% higher in the oxidative gastrocnemius vs. the mixed vastus lateralis |
|
GR (activity) |
44.86% higher in the oxidative gastrocnemius vs. the mixed vastus lateralis |
|||
GPx (activity) |
112.47% higher in the oxidative gastrocnemius vs. the mixed vastus lateralis |
CAT: catalase; CuZn-SOD: copper/zinc superoxide dismutase; DUOX1: dual oxidase 1; GPx: glutathionem peroxidase; GR: glutathione reductase; GSH: glutathione; GSSG: glutathione disulfide; h:hour; m/min:meters/minute; MDA: malondialdehyde; Mn-SOD: manganese superoxide dismutase; NADPH: nicotinamide adenine dinucleotide phosphate; NOX2: NADPH oxidase 2; NOX4: NADPH oxidase 4; Prx: peroxiredoxins; ROS: reactive oxygen species; SOD: superoxide dismutase; TBARS: thiobarbituric acid reactive substances; wk: week.
References
1. Schiaffino, S.; Reggiani, C. Fiber types in mammalian skeletal muscles. Physiol. Rev.; 2011; 91, pp. 1447-1531. [DOI: https://dx.doi.org/10.1152/physrev.00031.2010] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/22013216]
2. Flück, M.; Hoppeler, H. Molecular basis of skeletal muscle plasticity—From gene to form and function. Rev. Physiol. Biochem. Pharmacol.; 2003; 146, pp. 159-216. [DOI: https://dx.doi.org/10.1007/s10254-002-0004-7] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/12605307]
3. Furrer, R.; Hawley, J.A.; Handschin, C. The molecular athlete: Exercise physiology from mechanisms to medals. Physiol. Rev.; 2023; 103, pp. 1693-1787. [DOI: https://dx.doi.org/10.1152/physrev.00017.2022] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/36603158]
4. Marin-Corral, J.; Fontes, C.C.; Pascual-Guardia, S.; Sanchez, F.; Olivan, M.; Argilés, J.M.; Busquets, S.; López-Soriano, F.J.; Barreiro, E.; Suzuki, Y.J. et al. Redox balance and carbonylated proteins in limb and heart muscles of cachectic rats. Antioxid. Redox Signal.; 2010; 12, pp. 365-380. [DOI: https://dx.doi.org/10.1089/ars.2009.2818]
5. Smith, N.T.; Soriano-Arroquia, A.; Goljanek-Whysall, K.; Jackson, M.J.; McDonagh, B. Redox responses are preserved across muscle fibres with differential susceptibility to aging. J. Proteom.; 2018; 177, pp. 112-123. [DOI: https://dx.doi.org/10.1016/j.jprot.2018.02.015] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/29438851]
6. Picard, M.; Hepple, R.T.; Burelle, Y. Mitochondrial functional specialization in glycolytic and oxidative muscle fibers: Tailoring the organelle for optimal function. Am. J. Physiol. Cell Physiol.; 2012; 302, pp. C629-C641. [DOI: https://dx.doi.org/10.1152/ajpcell.00368.2011] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/22031602]
7. Pinho, R.A.; Sepa-Kishi, D.M.; Bikopoulos, G.; Wu, M.V.; Uthayakumar, A.; Mohasses, A.; Hughes, M.C.; Perry, C.G.R.; Ceddia, R.B. High-fat diet induces skeletal muscle oxidative stress in a fiber type-dependent manner in rats. Free Radic. Biol. Med.; 2017; 110, pp. 381-389. [DOI: https://dx.doi.org/10.1016/j.freeradbiomed.2017.07.005] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/28690197]
8. Gomez-Cabrera, M.; Arc-Chagnaud, C.; Salvador-Pascual, A.; Brioche, T.; Chopard, A.; Olaso-Gonzalez, G.; Viña, J. Redox modulation of muscle mass and function. Redox Biol.; 2020; 35, 101531. [DOI: https://dx.doi.org/10.1016/j.redox.2020.101531]
9. Henriquez-Olguin, C.; Meneses-Valdes, R.; Jensen, T.E. Compartmentalized muscle redox signals controlling exercise metabolism—Current state, future challenges. Redox Biol.; 2020; 35, 101473. [DOI: https://dx.doi.org/10.1016/j.redox.2020.101473]
10. Margaritelis, N.; Paschalis, V.; Theodorou, A.; Kyparos, A.; Nikolaidis, M. Redox basis of exercise physiology. Redox Biol.; 2020; 35, 101499. [DOI: https://dx.doi.org/10.1016/j.redox.2020.101499] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/32192916]
11. Mason, S.A.; Wadley, G.D.; Keske, M.A.; Parker, L. Effect of mitochondrial-targeted antioxidants on glycaemic control, cardiovascular health, and oxidative stress in humans: A systematic review and meta-analysis of randomized controlled trials. Diabetes Obes. Metab.; 2022; 24, pp. 1047-1060. [DOI: https://dx.doi.org/10.1111/dom.14669]
12. Rohatgi, A. WebPlotDigitizer Version 4.6. 2022 Sep. Available online: https://automeris.io/WebPlotDigitizer (accessed on 5 September 2023).
13. Galasso, M.; Gambino, S.; Romanelli, M.G.; Donadelli, M.; Scupoli, M.T. Browsing the oldest antioxidant enzyme: Catalase and its multiple regulation in cancer. Free Radic. Biol. Med.; 2021; 172, pp. 264-272. [DOI: https://dx.doi.org/10.1016/j.freeradbiomed.2021.06.010] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/34129927]
14. Jenkins, R.R. Catalase activity in skeletal muscle of varying fibre types. Experientia; 1981; 37, pp. 67-68. [DOI: https://dx.doi.org/10.1007/BF01965573] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/7202672]
15. Laughlin, M.H.; Simpson, T.; Sexton, W.L.; Brown, O.R.; Smith, J.K.; Korthuis, R.J. Skeletal muscle oxidative capacity, antioxidant enzymes, and exercise training. J. Appl. Physiol.; 1990; 68, pp. 2337-2343. [DOI: https://dx.doi.org/10.1152/jappl.1990.68.6.2337] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/2384414]
16. Loureiro, A.C.C.; Rêgo-Monteiro, I.C.D.; Louzada, R.A.; Ortenzi, V.H.; de Aguiar, A.P.; de Abreu, E.S.; Cavalcanti-De-Albuquerque, J.P.A.; Hecht, F.; de Oliveira, A.C.; Ceccatto, V.M. et al. Differential Expression of NADPH Oxidases Depends on Skeletal Muscle Fiber Type in Rats. Oxidative Med. Cell. Longev.; 2016; 2016, 6738701. [DOI: https://dx.doi.org/10.1155/2016/6738701] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/27847553]
17. Pereira, B.; Rosa, L.C.; Safi, D.; Medeiros, M.; Curi, R.; Bechara, E. Superoxide dismutase, catalase, and glutathione peroxidase activities in muscle and lymphoid organs of sedentary and exercise-trained rats. Physiol. Behav.; 1994; 56, pp. 1095-1099. [DOI: https://dx.doi.org/10.1016/0031-9384(94)90349-2]
18. Criswell, D.; Lawler, J.; Ji, L.L.; Martin, D.; Herb, R.A.; Dudley, G.; Fiuza-Luces, C.; Garatachea, N.; Berger, N.A.; Lucia, A. et al. Influence of exercise and fiber type on antioxidant enzyme activity in rat skeletal muscle. Am. J. Physiol. Integr. Comp. Physiol.; 1994; 266, Pt 2, pp. R375-R380. [DOI: https://dx.doi.org/10.1152/ajpregu.1994.266.2.r375]
19. Oh-Ishi, S.; Kizaki, T.; Yamashita, H.; Nagata, N.; Suzuki, K.; Taniguchi, N.; Ohno, H. Alterations of superoxide dismutase iso-enzyme activity, content, and mRNA expression with aging in rat skeletal muscle. Mech. Ageing Dev.; 1995; 84, pp. 65-76. [DOI: https://dx.doi.org/10.1016/0047-6374(95)01637-F] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/8719778]
20. Plant, D.R.; Gregorevic, P.; Warmington, S.A.; Williams, D.A.; Lynch, G.S. Endurance training adaptations modulate the redox–force relationship of rat isolated slow-twitch skeletal muscles. Clin. Exp. Pharmacol. Physiol.; 2003; 30, pp. 77-81. [DOI: https://dx.doi.org/10.1046/j.1440-1681.2002.03794.x] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/12542458]
21. Fiebig, R.; Chandwaney, R.; Ji, L.L.; Fiuza-Luces, C.; Garatachea, N.; Berger, N.A.; Lucia, A.; Smuder, A.J.; Kavazis, A.N.; Min, K. et al. Aging and exercise training in skeletal muscle: Responses of glutathione and antioxidant enzyme systems. Am. J. Physiol. Integr. Comp. Physiol.; 1994; 267, Pt 2, pp. R439-R445. [DOI: https://dx.doi.org/10.1152/ajpregu.1994.267.2.r439]
22. Hollander, J.; Fiebig, R.; Gore, M.; Bejma, J.; Ookawara, T.; Ohno, H.; Ji, L.L.; Fiuza-Luces, C.; Garatachea, N.; Berger, N.A. et al. Superoxide dismutase gene expression in skeletal muscle: Fiber-specific adaptation to endurance training. Am. J. Physiol. Integr. Comp. Physiol.; 1999; 277, pp. R856-R862. [DOI: https://dx.doi.org/10.1152/ajpregu.1999.277.3.R856] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/10484504]
23. Ehara, A.; Taguchi, D.; Nakadate, K.; Ueda, S. Attractin deficiency causes metabolic and morphological abnormalities in slow-twitch muscle. Cell Tissue Res.; 2021; 384, pp. 745-756. [DOI: https://dx.doi.org/10.1007/s00441-021-03423-w]
24. Alves, J.O.; Pereira, L.M.; Monteiro, I.C.C.D.R.; dos Santos, L.H.P.; Ferraz, A.S.M.; Loureiro, A.C.C.; Lima, C.C.; Leal-Cardoso, J.H.; Carvalho, D.P.; Fortunato, R.S. et al. Strenuous Acute Exercise Induces Slow and Fast Twitch-Dependent NADPH Oxidase Expression in Rat Skeletal Muscle. Antioxidants; 2020; 9, 57. [DOI: https://dx.doi.org/10.3390/antiox9010057]
25. McCord, J.M.; Fridovich, I. Superoxide dismutase. An enzymic function for erythrocuprein (hemocuprein). J. Biol. Chem.; 1969; 244, pp. 6049-6055. [DOI: https://dx.doi.org/10.1016/S0021-9258(18)63504-5]
26. Powers, S.K.; Visser, T.; Van Dijk, H.; Kordus, M.J.; Ji, L.L.; Jendzjowsky, N.G.; DeLorey, D.S.; Jackson, M.J.; Green, H.J.; Bombardier, E.B. et al. Acute exercise and skeletal muscle antioxidant and metabolic enzymes: Effects of fiber type and age. Am. J. Physiol. Integr. Comp. Physiol.; 1993; 265, Pt 2, pp. R1344-R1350. [DOI: https://dx.doi.org/10.1152/ajpregu.1993.265.6.r1344]
27. Criswell, D.; Powers, S.; Dodd, S.; Lawler, J.; Edwards, W.; Renshler, K.; Grinton, S. High intensity training-induced changes in skeletal muscle antioxidant enzyme activity. Med. Sci. Sports Exerc.; 1993; 25, pp. 1135-1140. [DOI: https://dx.doi.org/10.1249/00005768-199310000-00009] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/8231758]
28. Leeuwenburgh, C.; Hollander, J.; Leichtweis, S.; Griffiths, M.; Gore, M.; Ji, L.L. Adaptations of glutathione antioxidant system to endurance training are tissue and muscle fiber specific. Am. J. Physiol. Integr. Comp. Physiol.; 1997; 272, Pt 2, pp. R363-R369. [DOI: https://dx.doi.org/10.1152/ajpregu.1997.272.1.R363] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/9039030]
29. Hirabayashi, T.; Nakanishi, R.; Tanaka, M.; Nisa, B.U.; Maeshige, N.; Kondo, H.; Fujino, H. Reduced metabolic capacity in fast and slow skeletal muscle via oxidative stress and the energy-sensing of AMPK/SIRT1 in malnutrition. Physiol. Rep.; 2021; 9, e14763. [DOI: https://dx.doi.org/10.14814/phy2.14763] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/33650806]
30. Bolduc, J.; Koruza, K.; Luo, T.; Pueyo, J.M.; Vo, T.N.; Ezeriņa, D.; Messens, J. Peroxiredoxins wear many hats: Factors that fashion their peroxide sensing personalities. Redox Biol.; 2021; 42, 101959. [DOI: https://dx.doi.org/10.1016/j.redox.2021.101959] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/33895094]
31. Netto, L.E.S.; Antunes, F. The Roles of Peroxiredoxin and Thioredoxin in Hydrogen Peroxide Sensing and in Signal Transduction. Mol. Cells; 2016; 39, pp. 65-71. [DOI: https://dx.doi.org/10.14348/molcells.2016.2349] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/26813662]
32. Wadley, A.J.; Aldred, S.; Coles, S.J. An unexplored role for Peroxiredoxin in exercise-induced redox signalling?. Redox Biol.; 2016; 8, pp. 51-58. [DOI: https://dx.doi.org/10.1016/j.redox.2015.10.003] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/26748042]
33. Xia, Q.; Casas-Martinez, J.C.; Zarzuela, E.; Muñoz, J.; Miranda-Vizuete, A.; Goljanek-Whysall, K.; McDonagh, B. Peroxiredoxin 2 is required for the redox mediated adaptation to exercise. Redox Biol.; 2023; 60, 102631. [DOI: https://dx.doi.org/10.1016/j.redox.2023.102631] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/36791646]
34. van‘t Erve, T.J.; Wagner, B.A.; Ryckman, K.K.; Raife, T.J.; Buettner, G.R. The concentration of glutathione in human erythrocytes is a heritable trait. Free Radic. Biol. Med.; 2013; 65, pp. 742-749. [DOI: https://dx.doi.org/10.1016/j.freeradbiomed.2013.08.002] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/23938402]
35. DePonte, M. The Incomplete Glutathione Puzzle: Just Guessing at Numbers and Figures?. Antioxid. Redox Signal.; 2017; 27, pp. 1130-1161. [DOI: https://dx.doi.org/10.1089/ars.2017.7123]
36. Marin, E.; Kretzschmar, M.; Hänninen, O.; Trewin, A.J.; Lundell, L.S.; Perry, B.D.; Patil, K.V.; Chibalin, A.V.; Levinger, I.; McQuade, L.R. et al. Skeletal muscle and liver glutathione homeostasis in response to training, exercise, and immobilization. J. Appl. Physiol.; 1992; 73, pp. 1265-1272. [DOI: https://dx.doi.org/10.1152/jappl.1992.73.4.1265]
37. Couto, N.; Wood, J.; Barber, J. The role of glutathione reductase and related enzymes on cellular redox homoeostasis network. Free Radic. Biol. Med.; 2016; 95, pp. 27-42. [DOI: https://dx.doi.org/10.1016/j.freeradbiomed.2016.02.028] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/26923386]
38. Brigelius-Flohé, R.; Flohé, L. Regulatory Phenomena in the Glutathione Peroxidase Superfamily. Antioxid. Redox Signal.; 2020; 33, pp. 498-516. [DOI: https://dx.doi.org/10.1089/ars.2019.7905] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/31822117]
39. Anderson, E.J.; Neufer, P.D. Type II skeletal myofibers possess unique properties that potentiate mitochondrial H2O2 generation. Am. J. Physiol. Cell Physiol.; 2006; 290, pp. C844-C851. [DOI: https://dx.doi.org/10.1152/ajpcell.00402.2005] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/16251473]
40. Margaritelis, N.; Cobley, J.; Paschalis, V.; Veskoukis, A.; Theodorou, A.; Kyparos, A.; Nikolaidis, M. Going retro: Oxidative stress biomarkers in modern redox biology. Free Radic. Biol. Med.; 2016; 98, pp. 2-12. [DOI: https://dx.doi.org/10.1016/j.freeradbiomed.2016.02.005]
41. Cobley, J.N.; Close, G.L.; Bailey, D.M.; Davison, G.W. Exercise redox biochemistry: Conceptual, methodological and technical recommendations. Redox Biol.; 2017; 12, pp. 540-548. [DOI: https://dx.doi.org/10.1016/j.redox.2017.03.022]
42. Oyenihi, A.B.; Ollewagen, T.; Myburgh, K.H.; Powrie, Y.S.L.; Smith, C. Redox Status and Muscle Pathology in Rheumatoid Arthritis: Insights from Various Rat Hindlimb Muscles. Oxidative Med. Cell. Longev.; 2019; 2019, 2484678. [DOI: https://dx.doi.org/10.1155/2019/2484678] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/31049128]
43. Capel, F.; Buffière, C.; Mirand, P.P.; Mosoni, L. Differential variation of mitochondrial H2O2 release during aging in oxidative and glycolytic muscles in rats. Mech. Ageing Dev.; 2004; 125, pp. 367-373. [DOI: https://dx.doi.org/10.1016/j.mad.2004.02.005] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/15130754]
44. Murphy, M.P.; Bayir, H.; Belousov, V.; Chang, C.J.; Davies, K.J.A.; Davies, M.J.; Dick, T.P.; Finkel, T.; Forman, H.J.; Janssen-Heininger, Y. et al. Guidelines for measuring reactive oxygen species and oxidative damage in cells and in vivo. Nat. Metab.; 2022; 4, pp. 651-662. [DOI: https://dx.doi.org/10.1038/s42255-022-00591-z] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/35760871]
45. Sies, H.; Belousov, V.V.; Chandel, N.S.; Davies, M.J.; Jones, D.P.; Mann, G.E.; Murphy, M.P.; Yamamoto, M.; Winterbourn, C. Defining roles of specific reactive oxygen species (ROS) in cell biology and physiology. Nat. Rev. Mol. Cell Biol.; 2022; 23, pp. 499-515. [DOI: https://dx.doi.org/10.1038/s41580-022-00456-z] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/35190722]
46. Murphy, M.P. How mitochondria produce reactive oxygen species. Biochem. J.; 2009; 417, pp. 1-13. [DOI: https://dx.doi.org/10.1042/BJ20081386]
47. Sakellariou, G.K.; Jackson, M.J.; Vasilaki, A. Redefining the major contributors to superoxide production in contracting skeletal muscle. The role of NAD(P)H oxidases. Free Radic. Res.; 2014; 48, pp. 12-29. [DOI: https://dx.doi.org/10.3109/10715762.2013.830718] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/23915064]
48. Vermot, A.; Petit-Härtlein, I.; Smith, S.M.E.; Fieschi, F. NADPH Oxidases (NOX): An Overview from Discovery, Molecular Mechanisms to Physiology and Pathology. Antioxidants; 2021; 10, 890. [DOI: https://dx.doi.org/10.3390/antiox10060890]
49. Margaritelis, N.V.; Chatzinikolaou, P.N.; Chatzinikolaou, A.N.; Paschalis, V.; Theodorou, A.A.; Vrabas, I.S.; Kyparos, A.; Nikolaidis, M.G. The redox signal: A physiological perspective. IUBMB Life; 2022; 74, pp. 29-40. [DOI: https://dx.doi.org/10.1002/iub.2550] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/34477294]
50. Chatzinikolaou, P.N.; Margaritelis, N.V.; Chatzinikolaou, A.N.; Paschalis, V.; Theodorou, A.A.; Vrabas, I.S.; Kyparos, A.; Nikolaidis, M.G. Oxygen Transport: A Redox O2dyssey. Oxidative Eustress in Exercise Physiology; CRC Press: Boca Raton, FL, USA, 2022.
51. Dutra, M.T.; Alex, S.; Mota, M.R.; Sales, N.B.; Brown, L.E.; Bottaro, M. Effect of strength training combined with antioxidant supplementation on muscular performance. Appl. Physiol. Nutr. Metab.; 2018; 43, pp. 775-781. [DOI: https://dx.doi.org/10.1139/apnm-2017-0866] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/29939770]
52. Paulsen, G.; Cumming, K.T.; Hamarsland, H.; Børsheim, E.; Berntsen, S.; Raastad, T. Can supplementation with vitamin C and E alter physiological adaptations to strength training?. BMC Sports Sci. Med. Rehabil.; 2014; 6, 28. [DOI: https://dx.doi.org/10.1186/2052-1847-6-28]
53. Margaritelis, N.V.; Theodorou, A.A.; Paschalis, V.; Veskoukis, A.S.; Dipla, K.; Zafeiridis, A.; Panayiotou, G.; Vrabas, I.S.; Kyparos, A.; Nikolaidis, M.G. Adaptations to endurance training depend on exercise-induced oxidative stress: Exploiting redox interindividual variability. Acta Physiol.; 2018; 222, e12898. [DOI: https://dx.doi.org/10.1111/apha.12898]
54. Parker, L.; Trewin, A.; Levinger, I.; Shaw, C.S.; Stepto, N.K. Exercise-intensity dependent alterations in plasma redox status do not reflect skeletal muscle redox-sensitive protein signaling. J. Sci. Med. Sport; 2018; 21, pp. 416-421. [DOI: https://dx.doi.org/10.1016/j.jsams.2017.06.017]
55. Cobley, J.; Sakellariou, G.; Owens, D.; Murray, S.; Waldron, S.; Gregson, W.; Fraser, W.; Burniston, J.; Iwanejko, L.; McArdle, A. et al. Lifelong training preserves some redox-regulated adaptive responses after an acute exercise stimulus in aged human skeletal muscle. Free Radic. Biol. Med.; 2014; 70, pp. 23-32. [DOI: https://dx.doi.org/10.1016/j.freeradbiomed.2014.02.004]
56. Morales-Alamo, D.; Ponce-González, J.G.; Guadalupe-Grau, A.; Rodríguez-García, L.; Santana, A.; Cusso, R.; Guerrero, M.; Dorado, C.; Guerra, B.; Calbet, J.A.L. Critical role for free radicals on sprint exercise-induced CaMKII and AMPKα phosphorylation in human skeletal muscle. J. Appl. Physiol.; 2013; 114, pp. 566-577. [DOI: https://dx.doi.org/10.1152/japplphysiol.01246.2012] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/23288553]
57. Andrade, F.H.; Reid, M.B.; Allen, D.G.; Westerblad, H. Effect of hydrogen peroxide and dithiothreitol on contractile function of single skeletal muscle fibres from the mouse. J. Physiol.; 1998; 509, Pt 2, pp. 565-575. [DOI: https://dx.doi.org/10.1111/j.1469-7793.1998.565bn.x]
58. Posterino, G.S.; Lamb, G.D. Effects of reducing agents and oxidants on excitation-contraction coupling in skeletal muscle fibres of rat and toad. J. Physiol.; 1996; 496, Pt 3, pp. 809-825. [DOI: https://dx.doi.org/10.1113/jphysiol.1996.sp021729] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/8930846]
59. Papanikolaou, K.; Jamurtas, A.Z.; Poulios, A.; Tsimeas, P.; Draganidis, D.; Margaritelis, N.V.; Baloyiannis, I.; Papadopoulos, C.; Sovatzidis, A.; Deli, C.K. et al. Skeletal muscle and erythrocyte redox status is associated with dietary cysteine intake and physical fitness in healthy young physically active men. Eur. J. Nutr.; 2023; 62, pp. 1767-1782. [DOI: https://dx.doi.org/10.1007/s00394-023-03102-2]
60. Murphy, M.P. Understanding and preventing mitochondrial oxidative damage. Biochem. Soc. Trans.; 2016; 44, pp. 1219-1226. [DOI: https://dx.doi.org/10.1042/BST20160108]
61. Pearson, T.; Kabayo, T.; Ng, R.; Chamberlain, J.; McArdle, A.; Jackson, M.J. Skeletal muscle contractions induce acute changes in cytosolic superoxide, but slower responses in mitochondrial superoxide and cellular hydrogen peroxide. PLoS ONE; 2014; 9, e96378. [DOI: https://dx.doi.org/10.1371/journal.pone.0096378]
62. Fisher-Wellman, K.H.; Mattox, T.A.; Thayne, K.; Katunga, L.A.; La Favor, J.D.; Neufer, P.D.; Hickner, R.C.; Wingard, C.J.; Anderson, E.J. Novel role for thioredoxin reductase-2 in mitochondrial redox adaptations to obesogenic diet and exercise in heart and skeletal muscle. J. Physiol.; 2013; 591, pp. 3471-3486. [DOI: https://dx.doi.org/10.1113/jphysiol.2013.254193] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/23613536]
63. Nikolaidis, M.G.; Margaritelis, N.V. Same Redox Evidence But Different Physiological “Stories”: The Rashomon Effect in Biology. BioEssays; 2018; 40, e1800041. [DOI: https://dx.doi.org/10.1002/bies.201800041]
64. Grant, M.J.; Booth, A. A typology of reviews: An analysis of 14 review types and associated methodologies. Health Inf. Libr. J.; 2009; 26, pp. 91-108. [DOI: https://dx.doi.org/10.1111/j.1471-1842.2009.00848.x] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/19490148]
65. Breusing, N.; Grune, T.; Andrisic, L.; Atalay, M.; Bartosz, G.; Biasi, F.; Borovic, S.; Bravo, L.; Casals, I.; Casillas, R. et al. An inter-laboratory validation of methods of lipid peroxidation measurement in UVA-treated human plasma samples. Free Radic. Res.; 2010; 44, pp. 1203-1215. [DOI: https://dx.doi.org/10.3109/10715762.2010.499907] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/20836662]
66. Kotha, R.R.; Tareq, F.S.; Yildiz, E.; Luthria, D.L. Oxidative Stress and Antioxidants—A Critical Review on In Vitro Antioxidant Assays. Antioxidants; 2022; 11, 2388. [DOI: https://dx.doi.org/10.3390/antiox11122388]
67. Nikolaidis, M.G.; Margaritelis, N.V.; Matsakas, A. Quantitative Redox Biology of Exercise. Int. J. Sports Med.; 2020; 41, pp. 633-645. [DOI: https://dx.doi.org/10.1055/a-1157-9043] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/32455453]
68. Augustyniak, E.; Adam, A.; Wojdyla, K.; Rogowska-Wrzesinska, A.; Willetts, R.; Korkmaz, A.; Atalay, M.; Weber, D.; Grune, T.; Borsa, C. et al. Validation of protein carbonyl measurement: A multi-centre study. Redox Biol.; 2015; 4, pp. 149-157. [DOI: https://dx.doi.org/10.1016/j.redox.2014.12.014] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/25560243]
69. Nikolaidis, M.G.; Margaritelis, N.V. Free radicals and antioxidants: Appealing to magic. Trends Endocrinol. Metab.; 2023; 34, pp. 503-504. [DOI: https://dx.doi.org/10.1016/j.tem.2023.06.001] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/37365057]
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
© 2023 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
Mammalian skeletal muscles contain varying proportions of Type I and II fibers, which feature different structural, metabolic and functional properties. According to these properties, skeletal muscles are labeled as ‘red’ or ‘white’, ‘oxidative’ or ‘glycolytic’, ‘slow-twitch’ or ‘fast-twitch’, respectively. Redox processes (i.e., redox signaling and oxidative stress) are increasingly recognized as a fundamental part of skeletal muscle metabolism at rest, during and after exercise. The aim of the present review was to investigate the potential redox differences between slow- (composed mainly of Type I fibers) and fast-twitch (composed mainly of Type IIa and IIb fibers) muscles at rest and after a training protocol. Slow-twitch muscles were almost exclusively represented in the literature by the soleus muscle, whereas a wide variety of fast-twitch muscles were used. Based on our analysis, we argue that slow-twitch muscles exhibit higher antioxidant enzyme activity compared to fast-twitch muscles in both pre- and post-exercise training. This is also the case between heads or regions of fast-twitch muscles that belong to different subcategories, namely Type IIa (oxidative) versus Type IIb (glycolytic), in favor of the former. No safe conclusion could be drawn regarding the mRNA levels of antioxidant enzymes either pre- or post-training. Moreover, slow-twitch skeletal muscles presented higher glutathione and thiol content as well as higher lipid peroxidation levels compared to fast-twitch. Finally, mitochondrial hydrogen peroxide production was higher in fast-twitch muscles compared to slow-twitch muscles at rest. This redox heterogeneity between different muscle types may have ramifications in the analysis of muscle function and health and should be taken into account when designing exercise studies using specific muscle groups (e.g., on an isokinetic dynamometer) or isolated muscle fibers (e.g., electrical stimulation) and may deliver a plausible explanation for the conflicting results about the ergogenic potential of antioxidant supplements.
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 Physical Education and Sports Science at Serres, Aristotle University of Thessaloniki, 62100 Serres, Greece;
2 Department of Nutrition Sciences and Dietetics, Faculty of Health Sciences, International Hellenic University, 57001 Thessaloniki, Greece;
3 School of Physical Education and Sports Science, National and Kapodistrian University of Athens, 15772 Athens, Greece;