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A Lower Protein Leucine‐matched Beverage Induces Similar Increases in Acute and Integrated Muscle Protein Synthesis in Healthy Older Women

2017· article· en· W4389023036 on OpenAlexaff
Michaela C. Devries, Chris McGlory, Diane Tuerke, Douglas R. Bolster, Alison Kamil, Maike Rahn, L. J. Harkness-Brennan, Stuart M. Phillips

Bibliographic record

VenueThe FASEB Journal · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle metabolism and nutrition
Canadian institutionsMcMaster University
Fundersnot available
KeywordsAnabolismSarcopeniaMyofibrilLeucineMedicineBasal (medicine)Whey proteinInternal medicineEndocrinologyRandomized controlled trialMuscle proteinResistance trainingPhenylalanineChemistrySkeletal muscleFood scienceBiochemistryAmino acid

Abstract

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Sarcopenic muscle and strength loss negatively impact health. Sarcopenic muscle loss may have a multi‐faceted etiology, but the predominant mechanism is thought to be a phenomenon termed anabolic resistance. Anabolic resistance describes a refractoriness of muscle protein synthesis (MPS) to feeding‐induced hyperaminoacidemia in older versus younger persons. Older adults have a lower food intake and older women in particular may not be consuming adequate protein to stimulate MPS. Objective To determine whether the addition of leucine to a smaller dose (10g) of mixed milk protein can induce similar increases in acute and integrated myofibrillar MPS as an isoenergic, 25 g dose of whey protein isolate (WPI). Methods Healthy, older women (n = 11/group) were recruited and randomized to one of 2 groups: 1) WPI: consumption of 25 g WPI (3 g leucine), 2/d or 2) P10: consumption of 10 g milk protein concentrate with 3 g leucine (Glanbia Nutritionals, PepForm ® ), 2/d. One leg was randomized to the exercised condition and maximal strength was determined (1‐RM). For determination of acute myofibrillar MPS, participants underwent primed constant infusion of 13 C 6 ‐phenylalanine and MPS was determined in the fasted, fed (rested) and fed + exercised (4 sets, 50–60% 1 RM, one leg) state. For determination of integrated myofibrillar MPS, participants consumed D 2 O (100 mL) and MPS was determined prior to (basal) and during supplementation in the rested and exercised leg. Participants were provided with all food to be consumed for 2 days prior to the acute trial (basal period) and throughout the 6 d supplementation period. The diet consisted of 1.0 g/kg/d protein. During the supplementation period the study beverages were incorporated into subjects' diets such that the participant continued to consume 1.0 g/kg/d protein. Results Acute myofibrillar MPS did not differ between groups in the fasted state. MPS increased in both the rested and exercised leg in response to P10 (fasted: 0.030 ± 0.003%/h, fed: 0.046 ± 0.003%/h, fed+exercise: 0.056 ± 0.002%/h; p < 0.001) and WPI (fasted: 0.034 ± 0.001%/h, fed: 0.044 ± 0.002%/h, fed+exercise: 0.051 ± 0.002%/h; p < 0.001), with no differences between groups. Acute MPS was greater in response to feeding in the exercised as compared with rested leg (p < 0.001). There was no difference in basal rates of integrated myofibrillar MPS between groups (WPI: 1.52 ± 0.01%/d vs P10: 1.53 ± 0.03%/d). MPS increased with WPI during the supplementation period in both the rested (1.56 ± 0.02%/d, p = 0.02) and exercised (1.66 ± 0.02%/d, p < 0.001) legs. MPS increased with P10 in the exercised leg (1.67 ± 0.02%/d, p < 0.001) during the supplementation period with a trend for an increase in the rested leg (1.56 ± 0.02%/d, p = 0.1). Conclusion A lower (10 vs. 25 g) protein beverage with equal leucine content induced similar increases in acute and integrated myofibrillar MPS in healthy, older women. Lower protein nutritional supplements with added leucine may represent an advantageous approach in older adults to maintain skeletal muscle anabolic sensitivity and alleviate muscle loss. Support or Funding Information PepsiCo Global R&D

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.012
GPT teacher head0.248
Teacher spread0.237 · 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 designNon-randomized trial
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".

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Citations1
Published2017
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