Inhibition of Mid-chain HETEs Protects Against Angiotensin II–induced Cardiac Hypertrophy
Bibliographic record
Abstract
Recent data demonstrated the role of CYP1B1 in cardiovascular disease. It was, therefore, necessary to examine whether the inhibition of CYP1B1 and hence inhibiting the formation of its metabolites, using 2,4,3',5'-tetramethoxystilbene (TMS), would have a cardioprotective effect against angiotensin II (Ang II)-induced cardiac hypertrophy. For this purpose, male Sprague Dawley rats were treated with Ang II with or without TMS (300 μg/kg every third day i.p.). Thereafter, cardiac hypertrophy and the formation of mid-chain HETEs and arachidonic acid were assessed. In vitro, RL-14 cells were treated with Ang II (10 μM) in the presence and absence of TMS (0.5 μM). Then, reactive oxygen species, mitogen-activated protein kinase phosphorylation levels, and nuclear factor-kappa B-binding activity were determined. Our results demonstrated that TMS protects against Ang II-induced cardiac hypertrophy as indicated by the improvement in cardiac functions shown by the echocardiography as well as by reversing the increase in heart weight to tibial length ratio caused by Ang II. In addition, the cardioprotective effect of TMS was associated with a significant decrease in cardiac mid-chain HETEs levels. Mechanistically, TMS inhibited reactive oxygen species formation, the phosphorylation of ERK1/2, p38 mitogen-activated protein kinase, and the binding of p65 NF-κB.
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) | 0.000 | 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) | 0.002 | 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".