Interaction of the heme oxygenase system with the renin‐angiotensin system in DOCA‐salt hypertensive rats
Bibliographic record
Abstract
Heme analogues are known to lower blood pressure in a variety of hypertensive models, including angiotensin‐II‐infused‐, phenylephrine‐induced‐ and deoxycorticosterone acetate (DOCA)‐salt‐induced hypertensive models. In DOCA‐salt rats, elevated activity of the renin‐angiotensin system (RAS) leads to oxidative stress, inflammation and hypertrophy. Whether the application of a heme oxygenase inducer like hemin will attenuate RAS activity and suppress kidney hypertrophy needs clarification. Moreover, the interaction of the heme oxygenase system with the RAS in DOCA rats is not fully understood. In this study, the administration of hemin (30 mg/kg daily, i.p.) for four weeks to DOCA‐salt, significantly lower blood pressure from 189.9±3.6 vs.136.6±1.3 mmHg (p<0.01, n=6) and attenuated kidney hypertrophy from 7.6 ±0.4 vs. 6.0±0.3 g/kg body weight (p< 0.01, n=6). This was accompanied by significant reduction of plasma angiotensin‐II (254.8±66.5 vs. 13.6±1.5 pg/ml/protein; p<0.05, n=4) and aldosterone (16.4±0.75 vs. 10.9±2.9 pg/ml/protein; p <0.05, n=4) as well as reduced inflammatory activity, assessed as NF‐κβ expression. In DOCA control rats (sham), blood pressure (118.5±0.2 mmHg) was unaffected by hemin. Similarly, hemin had no effect on normotensive Sprague Dawley rats (123.6±1.6 vs. 123±0.7 mmHg, n=5). Our studies unveils that the heme oxygenase system directly modulates angiotensin‐II and aldosterone activities in DOCA rats to suppress hypertension and secondarily‐induced damages like hypertrophy and inflammation. (This work is supported by Heart & Stroke Foundation of Saskatchewan, Canada)
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 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".