The impact of a selective androgen receptor modulator (RAD140) on frailty and underlying mechanisms in older male and female C57Bl/6 mice
Bibliographic record
Abstract
BACKGROUND: Androgen receptors (AR) are promising therapeutic targets for mechanisms of aging, including chronic inflammation, lean mass loss, and worsening bone health. We investigated the impact of RAD140, a selective AR modulator that activates ARs, on frailty and underlying mechanisms in older C57BL/6 mice. METHODS: Mice (23.7-25.5 months; N = 21 males; 15 females) received RAD140 (5 mg/kg/day) or placebo (DMSO) daily for 6-weeks. Frailty (clinical and lab-based), body composition, circulating inflammatory markers, grip strength, and genes relating to function/hypertrophy in quadriceps femoris muscles were assessed. RESULTS: Despite no differences in frailty between treatment and control, there were positive effects in male, but not female mice. RAD140 treated male mice had preserved lean mass (p = 0.024) and bone mineral density (p = 0.004) and lower serum interleukin-6 (p = 0.043) versus controls. In contrast, benefits to body composition and inflammatory markers were not seen in females. In either sex, grip strength, fat mass, and skeletal muscle genes were unaffected. CONCLUSION: Six-weeks of RAD140 treatment did not affect frailty in older male or female mice. The beneficial effects in lean mass, bone mineral density, and systemic inflammation warrant longer treatments to explore any positive impact on frailty in males. RAD140 may not be ideal for achieving these in females.
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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".