Enhancement of renal oxidative stress by injection of angiotensin II into the paraventricular nucleus in renal ischemia–reperfusion injury
Bibliographic record
Abstract
This study was designed to investigate whether microinjection of angiotensin II (Ang II) into the hypothalamic paraventricular nucleus (PVN) in renal ischemia-reperfusion (IR) injury has any effect on renal oxidative stress and damage through renal sympathetic nerve activity (RSNA). One week before the induction of left renal IR injury, right nephrectomy was performed and a cannula was placed into the right PVN. Rats were then distributed among 4 groups (n = 6); Sham, IR, IR + Ang II, and IR + Ang II + losartan. Renal IR injury was induced by clamping the left renal artery for 45 min followed by 24 h reperfusion. Losartan (0.3 μg) and Ang II (3 ng) were microinjected into the PVN at 20 min and 10 min, respectively, before the induction of IR injury. Ang II increased plasma creatinine, urinary NAG activity, and histological changes, and enhanced RSNA compared with the IR group (p < 0.05). Ang II increased malondialdehyde (MDA) levels and reduced superoxide dismutase (SOD) activity in the kidney compared with IR injury. Losartan caused a reduction in plasma creatinine, urinary NAG activity, histological changes, renal sympathetic nerve activity (RSNA), and renal MDA levels, and increased renal SOD activity compared with the IR group (p < 0.05). These data demonstrated that increased RSNA activity, via microinjection of Ang II into the PVN, exaggerated renal IR injury by inducing oxidative stress in the kidney.
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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) | 0.001 | 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) | 0.002 | 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".