Efficacy of branched chain amino acid administration on cognitive function: a systematic review
Why this work is in the frame
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Bibliographic record
Abstract
Background Branched chain amino acids (BCAA) are essential amino acids that include leucine, isoleucine, and valine. Recent studies indicate that BCAAs might influence cognitive health. This systematic review aims to examine the impact of BCAAs on cognitive function.Method The PRISMA guidelines were adhered to, and a literature search of electronic databases was conducted to gather studies meeting the inclusion criteria up to April 2024. Studies that administered BCAA and evaluated cognitive function in patients or healthy participants were included. The risk of bias was assessed using the Cochrane Risk of Bias tool for randomized studies and the Newcastle-Ottawa Scale for observational studies.Results Out of 41 screened studies, 8 met the inclusion criteria, including 353 participants. Risk of bias assessment rated 6 studies as high quality and 2 as medium quality. Analysis showed that 5 studies found no significant changes in cognitive function after BCAA administration, while 3 reported improvements.Conclusion BCAA supplementation for cognitive health is influenced by dosage, duration, and underlying health conditions. Some studies suggest potential detrimental effects, while others find no significant impact. Larger, rigorously designed clinical trials are needed to establish clearer causal relationships and optimize therapeutic strategies.Highlights BCAAs exert their effects on neuronal signalling, synaptic plasticity, and neurotransmitter regulation, amongst their pharmacological profile in modulating cognitive health.Studying the effects of BCAA administration on cognitive function enables the optimization of therapeutic interventions for cognitive disorders.Investigating the effects of BCAA administration on cognitive function facilitates the identification of biomarkers for monitoring treatment response and disease progression.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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) | 0.000 | 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 it