Androgen Effects On Soluble Epoxide Hydrolase Expression and Cardioprotection
Bibliographic record
Abstract
Androgens can regulate hepatic and renal expression of soluble epoxide hydrolase (sEH or EPHX2) which metabolize epoxyeicosatrienoic acids (EETs) to less bioactive metabolites. To examine the role of EETs and testosterone in ischemia reperfusion injury, mice with targeted disruption of soluble epoxide hydrolase (sEH null) were utilized. Gonadectomies were performed on randomly selected mice either at post‐natal day1 (PN1) or 3 months of age (cast). Hearts were excised and perfused in a Langendorff apparatus, subjected to 20min of ischemia followed by 40min of reperfusion. PCR analysis of EPHX2, αMHC, βMHC and GAPDH expression was performed. Improved postischemic recovery of left ventricular function was observed in male sEH null mice compared to WT (LVDP: 63±3 and 22±2%), which was diminished in females (LVDP: 40±6 and 22±5%). Gonadectomy improved postischemic recovery of LVDP (WT: control 25±3; PN1 68±11; cast 67±12%; sEH null: control 64±3; cast 88±14%). Renal expression of EPHX2 decreased following gonadectomy and was restored following androgen treatment. In contrast, no differences in cardiac EPHX2 expression were observed between treatment groups. Increased βMHC:αMHC ratio gene expression in gonadectomized mice was observed. While gender differences play a role in postischemic functional recovery our data would suggest that androgens do not influence cardiac expression of sEH.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".