Evidence map›Paper›PMID 29621305›Full record

ArticlePloS one2018

Biomarkers associated with low, moderate, and high vastus lateralis muscle hypertrophy following 12 weeks of resistance training.

Christopher B Mobley, Cody T Haun, Paul A Roberson, Petey W Mumford, Wesley C Kephart, Matthew A Romero, Shelby C Osburn, Christopher G Vann, Kaelin C Young, Darren T Beck and 3 more

Open access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 3 pooled it
11.5field-weighted citation impact, top 1% of its field
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

49 citing papers in PubMed, 3 syntheses or guidelines pooled it, 108 citations in OpenAlex.

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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

13 authors at 2 institutions in 1 country.

Christopher B MobleySchool of Kinesiology, Auburn University, Auburn, AL, United States of America.
Cody T HaunSchool of Kinesiology, Auburn University, Auburn, AL, United States of America.
Paul A RobersonSchool of Kinesiology, Auburn University, Auburn, AL, United States of America.
Petey W MumfordSchool of Kinesiology, Auburn University, Auburn, AL, United States of America.
Wesley C KephartSchool of Kinesiology, Auburn University, Auburn, AL, United States of America.
Matthew A RomeroSchool of Kinesiology, Auburn University, Auburn, AL, United States of America.
Shelby C OsburnSchool of Kinesiology, Auburn University, Auburn, AL, United States of America.
Christopher G VannSchool of Kinesiology, Auburn University, Auburn, AL, United States of America.
Kaelin C YoungSchool of Kinesiology, Auburn University, Auburn, AL, United States of America.
Darren T BeckSchool of Kinesiology, Auburn University, Auburn, AL, United States of America.
Jeffrey S MartinSchool of Kinesiology, Auburn University, Auburn, AL, United States of America.
Christopher M LockwoodLockwood LLC, Draper, UT, United States of America.
Michael D RobertsSchool of Kinesiology, Auburn University, Auburn, AL, United States of America.ORCID 0000-0002-7359-5362
Auburn University · USDraper Laboratory · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

BiomarkersExerciseResistance TrainingAdultAndrogensBody CompositionCluster AnalysisGene ExpressionHumansHypertrophyMicronutrientsMuscle Fibers, SkeletalMuscle, SkeletalMuscle StrengthRibosomesSatellite Cells, Skeletal MuscleAndrogensBiomarkersMicronutrients

Identifiers

PMID29621305
PMCPMC5886420
OpenAlexW2796380044

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.