Changes in markers of brain serotonin activity in response to chronic exercise in senior men
Bibliographic record
Abstract
Aging is associated with noticeable impairments in brain serotonin transmission, which might contribute to increased vulnerability to developing depression in later life. Animal and human studies have shown that aerobic exercise can stimulate brain serotonin activity and trigger parallel elevations in tryptophan (TRP, the serotonin precursor) availability in blood plasma. However, the influence of chronic exercise on serotonergic activity in older adults is not yet known. Sixteen men aged 64 ± 3 years exercised for 1 h (67%-70% peak oxygen consumption) at baseline and following 16 weeks of aerobic training. The main outcome measures were cardiorespiratory fitness, body composition, branched-chain amino acids (BCAA), TRP, prolactin, lactate, and free fatty acids (FFA). Changes in plasma free-TRP/BCAA and prolactin served as surrogates for TRP availability and serotonin activity, respectively. Chronic exercise decreased body mass (P < 0.05) whilst it increased ventilatory threshold 2 (P < 0.01). Although training did not affect plasma TRP availability to the brain at rest, both pre- and post-training exercise challenges markedly increased TRP availability (P < 0.001). The free-TRP/BCAA values reached a ceiling during exercise that was lower following training (P < 0.05), whereas similar patterns were found for prolactin, lactate, and FFA. These data show that aerobic exercise elicits consistent transient elevations in plasma TRP availability to the brain in older men; the elevations were independent from physical training, although less pronounced following training. The data support the contention that repeated elevations in brain serotonin activity might be involved in the antidepressant effect of exercise training in older adults.
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How this classification was reachedexpand
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 | 0.000 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".