Evidence map›Paper›PMID 37760040›Full record

ReviewAntioxidants (Basel, Switzerland)2023

Redox Profile of Skeletal Muscles: Implications for Research Design and Interpretation.

Olga Vasileiadou, George G Nastos, Panagiotis N Chatzinikolaou, Dimitrios Papoutsis, Dimitra I Vrampa, Spyridon Methenitis, Nikos V Margaritelis

Abstract readReview
In one paragraph

Review in Antioxidants (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Update: Is exercise-induced oxidative stress a friend or foe?Sports medicine and health science · 2026
    Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Ten "Cheat Codes" for Measuring Oxidative Stress in Humans.Antioxidants (Basel, Switzerland) · 2024
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Olga VasileiadouDepartment of Physical Education and Sports Science at Serres, Aristotle University of Thessaloniki, 62100 Serres, Greece.
George G NastosDepartment of Physical Education and Sports Science at Serres, Aristotle University of Thessaloniki, 62100 Serres, Greece.
Panagiotis N ChatzinikolaouDepartment of Physical Education and Sports Science at Serres, Aristotle University of Thessaloniki, 62100 Serres, Greece.
Dimitrios PapoutsisDepartment of Physical Education and Sports Science at Serres, Aristotle University of Thessaloniki, 62100 Serres, Greece.
Dimitra I VrampaDepartment of Nutrition Sciences and Dietetics, Faculty of Health Sciences, International Hellenic University, 57001 Thessaloniki, Greece.
Spyridon MethenitisSchool of Physical Education and Sports Science, National and Kapodistrian University of Athens, 15772 Athens, Greece.ORCID 0000-0003-4370-1395
Nikos V MargaritelisDepartment of Physical Education and Sports Science at Serres, Aristotle University of Thessaloniki, 62100 Serres, Greece.ORCID 0000-0001-5119-427X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

antioxidantsenzymesfibersoxidative stressredoxskeletal muscle

Identifiers

PMID37760040
PMCPMC10525275

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.