Greater Leucine Content Enhances the Acute and Integrated Muscle Protein Synthetic Responses Versus an Isonitrogenous, Isoenergetic Protein Beverage in Healthy Older Women
Bibliographic record
Abstract
A decreased anabolic response to protein feeding is one of the mechanisms that underpins sarcopenic muscle loss with aging, with older adults requiring a higher protein dose than younger adults to increase muscle protein synthesis (MPS). Despite this knowledge, a number of commercially available protein beverages targeted to increase protein intake and support lean body mass in older adults contain ≤20 g of protein, and their ability to stimulate MPS in this population is unknown. Leucine has, however, been shown to enhance the MPS response to lower doses of protein and thus may represent an effective ‘anti‐sarcopenic’ ingredient. Objective To compare the acute and integrated myofibrillar MPS response to a typical commercial protein beverage to that of an isonitrogenous, isoenergetic protein beverage with added leucine in older women. Methods Healthy, older women (n = 11/group) were recruited and randomized to one of 2 groups: 1) CON: 15 g mixed protein beverage (soy isolate, milk concentrate and caseinate), 2/d; 2) P15: 15 g milk protein concentrate with 4 g leucine (Glanbia Nutritionals, PepForm ® ), 2/d. Unilateral maximal strength was determined (1‐RM) and one leg was randomized to an exercise condition. For determination of acute MPS, participants underwent a 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 MPS, participants consumed 100 mL of D 2 O and MPS was determined prior to (basal) and during 6 d supplementation in the rested and exercised leg. Participants were provided with all food to be consumed throughout the basal and supplementation period, which consisted of 1.0 g/kg/d protein. During the supplementation period the study beverages were incorporated into the diet such that the participant continued to consume 1.0 g/kg/d protein. Results Acute MPS was the same in the fasted state in both groups (CON: 0.034 ± 0.001%/h, P15: 0.034 ± 0.001%/h). Feeding increased MPS in the rested (CON: 0.038 ± 0.001%/h, P15: 0.053 ± 0.002%/h) and exercised (CON: 0.043 ± 0.001%/h, P15: 0.064 ± 0.002%/h) leg in both groups, but the increase was greater with P15 (p < 0.001). Integrated MPS was the same in the basal state in both groups (CON: 1.52 ± 0.03%/d, P15: 1.48 ± 0.03%/d). MPS increased with P15 during the supplementation period in both legs (rested: 1.62 ± 0.03%/d, exercised: 1.73 ± 0.03%/d; p < 0.001), but in the exercised leg only with CON (rested: 1.54 ± 0.02%/d, exercised: 1.62 ± 0.02%/d; p < 0.001) and was greater with P15 than CON in both legs (p < 0.001). Conclusions A protein beverage fortified with 4 g of leucine induced greater increases in acute and integrated MPS than an isonitrogenous protein beverage containing protein equivalent to typical commercially available beverages. As opposed to consumption of P15, which increased MPS, chronic consumption of the CON protein beverage did not increase MPS and thus would not likely attenuate the loss of muscle mass in older adults. Support or Funding Information PepsiCo Global R&D
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".