ArticlePloS one2018
Biomarkers associated with low, moderate, and high vastus lateralis muscle hypertrophy following 12 weeks of resistance training.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 3 of them syntheses that pooled it.
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Who cites it
49 citing papers in PubMed, 3 syntheses or guidelines pooled it, 108 citations in OpenAlex.
- Effect of Plant-Based Proteins on Recovery from Resistance Exercise-Induced Muscle Damage in Healthy Young Adults-A Systematic Review.Nutrients · 2025Pooled it
- Effects of Drop Sets on Skeletal Muscle Hypertrophy: A Systematic Review and Meta-analysis.Sports medicine - open · 2023Pooled it
- Can conditions of skeletal muscle loss be improved by combining exercise with anabolic-androgenic steroids? A systematic review and meta-analysis of testosterone-based interventions.Reviews in endocrine & metabolic disorders · 2021Pooled it
- Heavy resistance exercise training in older men: A responder and inter-individual variability analysis.PloS one · 2026Trial
- Individual muscle hypertrophy response is affected by the overload progression model and is associated with changes in satellite cell content.European journal of applied physiology · 2025Trial
- High-Protein Plant-Based Diet Versus a Protein-Matched Omnivorous Diet to Support Resistance Training Adaptations: A Comparison Between Habitual Vegans and Omnivores.Sports medicine (Auckland, N.Z.) · 2021Trial
- Trial
- MAPK, androgen, and glucocorticoid receptor phosphorylation following high-frequency resistance exercise non-functional overreaching.European journal of applied physiology · 2019Trial
- Review
- Research into resistance training response heterogeneity: a summary of the 2025 conference at the University of Jyväskylä.Journal of applied physiology (Bethesda, Md. : 1985) · 2026Review
- Muscle activation and intermuscular coordination adaptations to early strength training during maximal force production.PloS one · 2026Article
- The influence of high-load and combined high- and low-load resistance training on electromyographic behavior during an absolute muscular endurance task.European journal of applied physiology · 2025Article
- Review
- Bioavailable testosterone and androgen receptor activation, but not total testosterone, are associated with muscle mass and strength in females.The Journal of physiology · 2025Article
- Unraveling the bidirectional relationship between muscle inflammation and satellite cells activity: influencing factors and insights.Journal of muscle research and cell motility · 2025Review
- Skeletal muscle ribosome analysis: A comparison of common assay methods and utilization of a novel RiboAb antibody cocktail.Physiological reports · 2025Article
- Resistance training-induced appendicular lean tissue mass changes are largely unrelated to pre-training bone characteristics in a larger cohort of untrained adults.Frontiers in physiology · 2025Article
- Within-individual design for assessing true individual responses in resistance training-induced muscle hypertrophy.Frontiers in sports and active living · 2025Article
- Relative rDNA copy number is not associated with resistance training-induced skeletal muscle hypertrophy and does not affect myotube anabolism in vitro.American journal of physiology. Regulatory, integrative and comparative physiology · 2024Article
- Mechanisms of mechanical overload-induced skeletal muscle hypertrophy: current understanding and future directions.Physiological reviews · 2023Review
Corrections and comments
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Authors and funding
13 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We sought to identify biomarkers which delineated individual hypertrophic responses to resistance training. Untrained, college-aged males engaged in full-body resistance training (3 d/wk) for 12 weeks. Body composition via dual x-ray absorptiometry (DXA), vastus lateralis (VL) thickness via ultrasound, blood, VL muscle biopsies, and three-repetition maximum (3-RM) squat strength were obtained prior to (PRE) and following (POST) 12 weeks of training. K-means cluster analysis based on VL thickness changes identified LOW [n = 17; change (mean±SD) = +0.11±0.14 cm], modest (MOD; n = 29, +0.40±0.06 cm), and high (HI; n = 21, +0.69±0.14 cm) responders. Biomarkers related to histology, ribosome biogenesis, proteolysis, inflammation, and androgen signaling were analyzed between clusters. There were main effects of time (POST>PRE, p<0.05) but no cluster×time interactions for increases in DXA lean body mass, type I and II muscle fiber cross sectional area and myonuclear number, satellite cell number, and macronutrients consumed. Interestingly, PRE VL thickness was ~12% greater in LOW versus HI (p = 0.021), despite POST values being ~12% greater in HI versus LOW (p = 0.006). However there was only a weak correlation between PRE VL thickness scores and change in VL thickness (r2 = 0.114, p = 0.005). Forced post hoc analysis indicated that muscle total RNA levels (i.e., ribosome density) did not significantly increase in the LOW cluster (351±70 ng/mg to 380±62, p = 0.253), but increased in the MOD (369±115 to 429±92, p = 0.009) and HI clusters (356±77 to 470±134, p<0.001; POST HI>POST LOW, p = 0.013). Nonetheless, there was only a weak association between change in muscle total RNA and VL thickness (r2 = 0.079, p = 0.026). IL-1β mRNA levels decreased in the MOD and HI clusters following training (p<0.05), although associations between this marker and VL thickness changes were not significant (r2 = 0.0002, p = 0.919). In conclusion, individuals with lower pre-training VL thickness values and greater increases muscle total RNA levels following 12 weeks of resistance training experienced greater VL muscle growth, although these biomarkers individually explained only ~8-11% of the variance in hypertrophy.
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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.