Sex differences in the modulation of K<sup>+</sup> currents in diabetic rat cardiac myocytes
Bibliographic record
Abstract
A transient (Ipeak) and a sustained (Isus) outward K+ current were measured, using whole-cell voltage-clamp methods, in isolated rat ventricular myocytes obtained by enzymatic dispersion. A comparison was made between male and female rats following induction of (insulin-deficient) diabetes with streptozotocin (STZ). In control (non-diabetic) rats, both currents were smaller in cells obtained from females, as compared to males (P<0.005). However, whereas inducing diabetes in male rats significantly attenuated both Ipeak and Isus (P<0.005), Ipeak was unchanged in female diabetic rats. Isus was significantly (P<0.005) reduced, but the extent of reduction was smaller (P<0.02) than in males. The formation of angiotensin II (ATII) or endothelin-1 (ET-1) was blocked using inhibitors of angiotensin-converting enzyme (ACE) and endothelin-converting enzyme (ECE), respectively. In cells from diabetic males both inhibitors significantly (P<0.005) enhanced K+ currents. In contrast, no effect was observed in cells from female diabetic rats. However, in ovariectomized (Ovx) diabetic females the in vitro inhibition of ATII and ET-1 formation augmented the two K+ currents, but not when oestradiol was administered in vivo prior to cell isolation. In cells from diabetic males, incubation with 100 nM 17beta-oestradiol significantly (P<0.005) enhanced both Ipeak and Isus. This effect was blocked if ATII or ET-1 was added to the medium. These results show that autocrine modulation of K+ currents by renin-angiotensin and endothelin systems is attenuated or absent in female diabetic rats. Oestradiol plays a key role in reducing this modulation. These results may underlie some of the sex differences associated with development of cardiac arrhythmias.
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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) | 0.001 | 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".