Age‐Associated Decline in Erectile Function: The Confounding Influence of Obesity
Bibliographic record
Abstract
Although there is a well‐established link between aging and erectile dysfunction (ED), the differential contribution of obesity, specifically visceral adipose tissue (VAT), as a causal factor in ED at a given age has not been determined. Caloric restriction (CR) can prolong lifespan and is a powerful tool that we use in our research to delineate the effects of aging on erectile function distinct from obesity. Methods 3 groups of male Sprague‐Dawley rats (10–30 wks) were used: (10 and 20% CR), and ad libitum (control) Body weigh (Bwt), length, and abdominal girth (AG) were taken throughout. Full body MRI, was performed at 4 time points. The apomorphine bioassay (80 ug/kg, s.c.) was used to assess erectile function at 30wks of age in Study 1, whereas cavernous nerve stimulation was used in Study 2. Total VAT fat pads were weighed upon sacrifice. Results Final Bwt.'s (30wks) were Study 1/2: 659/660g (control), CR 10% 537g, and CR 20% 410/400g. VAT (% Bwt.) was Study 1/2: 6.2/7.5%(control), CR 10% 5.8%, CR 20% 3.8/2.2%. Erectile responses were 0.6±0.7 in controls, 0.9±1.1 in CR 10% and 1.8±1.0 in CR 20% . The CR‐induced reduction in VAT was well correlated with centrally mediated erectile responses (R 2 =0.7). Conclusions The age related decline in erectile responses was prevented via CR 20% . There was a positive correlation between a reduction in VAT and improvements in sexual function. (Funds: HSFO, MK:CIHR‐DRA)
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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 | 0.001 | 0.001 |
| 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 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".