Attenuation of Resting but Not Load-Mediated Protein Synthesis in Prostate Cancer Patients on Androgen Deprivation
Bibliographic record
Abstract
CONTEXT: Androgen deprivation therapy (ADT) is a common prostate cancer (PCa) treatment but results in muscular atrophy. Periodic increases in muscle protein synthesis (MPS) that occur after resistance exercise or protein intake may ameliorate this muscle loss, but the impact of these anabolic stimuli during ADT is unclear. OBJECTIVE: To determine the acute MPS response to whey protein supplementation with and without resistance exercise during ADT. DESIGN: Acute response in PCa patients vs age-matched controls (CON). SETTING: Academic laboratory setting. PARTICIPANTS: PCa patients on ADT (N = 8) and CON (N = 10). INTERVENTION: A standardized diet was consumed for 2 days prior to performing unilateral knee extension resistance exercise followed by ingestion of 40 g of whey protein. MAIN OUTCOME MEASURES: Bilateral biopsies and stable isotope infusions were used to determine MPS rates at rest after protein ingestion with and without resistance exercise. RESULTS: Baseline MPS during ADT was suppressed relative to CON (P = 0.01). Protein consumption stimulated MPS in both groups (approximate twofold increase, both P < 0.001), but to a greater extent in CON (P = 0.003). Protein plus resistance exercise increased MPS (∼3.4-fold increase, both P < 0.001) to a greater extent than did protein alone (P < 0.001), but with no difference between groups (P = 0.380). CONCLUSIONS: ADT reduces basal and protein feeding-induced rises in MPS; however, combined protein ingestion with resistance exercise stimulated MPS to a similar degree as CON. Testosterone appears to play a role in maintaining muscle mass but is not necessary to initiate a robust response in MPS following resistance exercise when combined with protein ingestion.
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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) | 0.000 | 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) | 0.001 | 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".