ReviewScandinavian journal of medicine & science in sports2025
Fiber Type-Specific Adaptations to Exercise Training in Human Skeletal Muscle: Lessons From Proteome Analyses and Future Directions.
Review in Scandinavian journal of medicine & science in sports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Sex- and fiber type-specific remodeling of the muscle proteome implicates CSRP3 in resistance training-induced hypertrophy.Nature communications · 2026Article
- Exercise Resistance in Obese Male NZO Mice Manifests as Local Muscle Remodelling Without Glycaemic Improvements.Diabetes, obesity & metabolism · 2026Article
- Exercise as a Programmable Regulator of Mitophagy Sensitivity in Aging Muscle and Age-Related Disease.IUBMB life · 2026Review
- Mitochondrial Adaptations to Exercise Training in Equine Skeletal Muscle: A Narrative Review.Life (Basel, Switzerland) · 2026Review
- Comparison of Strength Adaptation Responses Among Individuals with Different Muscle Fiber Type Profiles.Medicina (Kaunas, Lithuania) · 2026Article
- Fibre Type-Specific Proteomics Reveals Shared and Distinct Skeletal Muscle Adaptations to Resistance Training and BetaJournal of cachexia, sarcopenia and muscle · 2026Article
- Stereo-cell coupled with single-cell transcriptomics identifies a transitional metabolic state in maturing skeletal muscle myofibers.Frontiers in genetics · 2026Article
- Consensus Statements-Optimizing Performance of the Elite Athlete.Scandinavian journal of medicine & science in sports · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Skeletal muscle is a key determinant of sports performance. It is a highly specialized, yet complex and heterogeneous tissue, comprising multiple cell types. Muscle fibers are the main functional cell type responsible for converting energy into mechanical work. They exhibit a remarkable ability to adapt in response to stressors, such as exercise training. But while it is recognized that human skeletal muscle fibers have distinct contractile and metabolic features, classified as slow/oxidative (type 1) or fast/glycolytic (type 2a/x), less attention has been directed to the adaptability of the different fiber types. Methodological advancements in mass spectrometry-based proteomics allow researchers to quantify thousands of proteins with only a small amount of muscle tissue-even in a single muscle fiber. By exploiting this technology, studies are emerging highlighting that muscle fiber subpopulations adapt differently to exercise training. This review provides a contemporary perspective on the fiber type-specific adaptability to exercise training in humans. A key aim of our review is to facilitate further advancements within exercise physiology by harnessing mass spectrometry proteomics.
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What OpenQuestion holds
Registered trials
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.