Glucocorticoid exposure modifies the <scp>miRNA</scp> profile of sperm in the guinea pig: Implications for intergenerational transmission
Bibliographic record
Abstract
Approximately 1%-3% of the adult population are treated with synthetic glucocorticoids (sGCs) for a variety of conditions. Studies have demonstrated that adversities experienced by males prior to conception may lead to abnormal neuroendocrine function and behaviors in offspring and that epigenetic factors including microRNA (miRNA) within sperm may be responsible for driving these effects. However, it remains unclear where in the epididymis sperm miRNA changes are occurring. Here, we hypothesized that sGC exposure will alter the miRNA profile of sperm in the epididymis in a region-specific manner. Adult male guinea pigs were exposed to regular drinking water (Ctrl) or water with the sGC dexamethasone (Dex; 3mg/kg) (n = 6/group) every other day for 48 days. Sperms were collected from epididymal seminal fluid in the caput and cauda regions of the epididymis and total RNA was extracted. miRNAs were assessed by miRNA 4.0 microarray; data were processed by TAC 4.0.1 and R. miRNA analysis revealed one miRNA in the caput that was significantly decreased by Dex in sperm. In the cauda, 31 miRNAs were reduced in sperm following Dex-exposure. The findings of this study demonstrate that Dex-exposure influences miRNA profile of sperm in the cauda but not the caput of the epididymis. This suggests that glucocorticoids target the epididymis to modify sperm miRNA and do not modify the miRNA content during spermiation in the testes.
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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".