Brain serotonin circuit reverses decline in physical activity with age
Bibliographic record
Abstract
ABSTRACT Physical inactivity increases with age and is the fourth leading risk factor for mortality. Establishing the mechanisms underpinning declining physical activity (PA) with age has remained both elusive and difficult to overcome. Older (50-70 years old) compared with younger (17-30 years old) UK participants showed reduced PA, and this profile was effectively modelled in mice. Analysis of brain serotonin (5-HT) neurons in the dorsal raphe (DR) revealed altered firing activity in older mice. Chemogenetically mimicking this 5-HT DR tone in young adult mice produced an older adult PA profile. Genetically blocking 5-HT activity at 5-HT 2C receptors (5-HT 2C Rs) prevented the decline in PA with age. Importantly, barring 5-HT action at 5-HT 2C Rs specifically within the ventral tegmental area restored youthful PA levels and strength in older mice. These data fill a longstanding knowledge gap by defining brain circuitry programming the decline in PA with age, and importantly, a means to reverse it.
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 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 | 0.001 |
| 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".