ArticleFrontiers in physiology2016
Baseline Muscle Mass Is a Poor Predictor of Functional Overload-Induced Gain in the Mouse Model.
Article in Frontiers in physiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
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Who cites it
4 citing papers in PubMed, 9 citations in OpenAlex.
- The utility-and limitations-of the rodent synergist ablation model in examining mechanisms of skeletal muscle hypertrophy.American journal of physiology. Cell physiology · 2024Review
- Mechanisms of mechanical overload-induced skeletal muscle hypertrophy: current understanding and future directions.Physiological reviews · 2023Review
- Stanniocalcin-2 inhibits skeletal muscle growth and is upregulated in functional overload-induced hypertrophy.Physiological reports · 2023Article
- Forced Running Endurance Is Influenced by Gene(s) on Mouse Chromosome 10.Frontiers in physiology · 2017Article
Corrections and comments
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Authors and funding
3 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genetic background contributes substantially to individual variability in muscle mass. Muscle hypertrophy in response to resistance training can also vary extensively. However, it is less clear if muscle mass at baseline is predictive of the hypertrophic response. The aim of this study was to examine the effect of genetic background on variability in muscle mass at baseline and in the adaptive response of the mouse fast- and slow-twitch muscles to overload. Males of eight laboratory mouse strains: C57BL/6J (B6,
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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.