MétaCan
Menu
← Back to cohort

Weight Loss‐Induced Changes in Muscle Protein Turnover in Young Men: Effects of Dietary Protein Intake and Resistance Exercise

2017· article· en· W4389017231 on OpenAlexafffund
Amy J. Hector, Chris McGlory, Felipe Damas, Stuart M. Phillips

Bibliographic record

VenueThe FASEB Journal · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle metabolism and nutrition
Canadian institutionsMcMaster University
FundersNatural Sciences and Engineering Research Council of CanadaSkogssällskapet
KeywordsWeight lossLean body massEndocrinologyInternal medicineMuscle massSkeletal muscleMedicineMuscle proteinSarcopeniaProtein turnoverResistance trainingChemistryBody weightObesityProtein biosynthesisBiochemistry

Abstract

fetched live from OpenAlex

A negative consequence of diet‐induced weight loss is the loss of lean body mass (LBM), particularly muscle mass, which is induced by an imbalance between rates of muscle protein synthesis (MPS) and muscle protein breakdown (MPB). Increased protein intake and resistance exercise during diet‐induced weight loss promote retention of LBM [1] by stimulating MPS. Currently, the relative contribution of MPS to hypoenergetic diet‐induced LBM loss, and the effect of protein intake and resistance exercise on these variables is not well characterized. In a single blind investigation, adult men (n=24, BMI=28.6±0.6kg/m 2 , age=22±1y) underwent 10 days of a controlled diet with a 40% reduction in energy intake to create an energy deficit, while performing unilateral resistance exercise and consuming either lower protein (LP) (1.2g/kg/d protein, n=12) or higher protein (HP) (2.4g/kg/d protein, n=12). Pre‐ and post‐intervention testing included DXA, primed constant infusion of ring ‐[ 13 C 6 ]‐phenylalanine to measure acute MPS in the fasted state and skeletal muscle biopsies to measure gene and protein expression. Total weight loss (−1.7±0.1kg) and fat mass loss (−0.7±0.1kg) did not differ between groups; however, appendicular lean mass of the exercised leg was preserved compared to the rested leg in both groups (exercise= −0.1±0.1kg, rest= −0.4±0.1kg, p<0.05). Mixed MPS was significantly reduced in both groups following weight loss (HP= −14±4% and LP= −27±2%, p<0.05). In the exercised leg, mixed MPS was preserved in the lower protein group and elevated above baseline in the higher protein group (14±6% p<0.05) 48 hrs following the last exercise bout. Gene expression of TRAF6 was increased in the rested leg of the lower protein group (p<0.05), but there was no change in TRAF6 protein expression at any time point in either group. Gene expression of other targets in the ubiquitin‐proteasome and autophagic‐lysosomal pathways (Atrogin‐1, MuRF‐1, Foxo3a, LC3, Gabarapl1, Ulk2, Beclin1) did not change with weight loss in either group. Protein expression of p‐Foxo3a (Ser253) and p‐TSC2 (Thr1462) also did not change with weight loss in either group. These results suggest that reductions in MPS are the likely reason for LBM loss during the early phase of diet‐induced weight loss. Resistance exercise can help to preserve (LP) or even elevate (HP) rates of fasted MPS, which, in concordance with our earlier work [1], promotes LBM retention. Support or Funding Information Supported by NSERC and OGS

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.231
Teacher spread0.221 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2017
Admission routes2
Has abstractyes

Explore more

Same venueThe FASEB Journal→Same topicMuscle metabolism and nutrition→French-language works237,207→