Cardioprotective effect of a dual acting epoxyeicosatrienoic acid analogue towards ischaemia reperfusion injury
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: Epoxyeicosatrienoic acids (EETs) are cytochrome P450 epoxygenase metabolites of arachidonic acid that are metabolized into dihydroxyepoxyeicosatrienoic acids (DHET) by soluble epoxide hydrolase (sEH). The current investigations were performed to examine the cardioprotective effects of UA-8 (13-(3-propylureido)tridec-8-enoic acid), a synthetic compound that possesses both EET-mimetic and sEH inhibitory properties, against ischaemia-reperfusion injury. EXPERIMENTAL APPROACH: Hearts from C57BL/6 mice were perfused in Langendorff mode and subjected to ischaemia reperfusion. Mechanistic studies involved co-perfusing hearts with either 14,15-EEZE (a putative EET receptor antagonist), wortmannin or PI-103 (class-I PI3K inhibitor). H9c2 cells were utilized to investigate the protective effects against mitochondrial injury following anoxia reoxygenation. KEY RESULTS: Perfusion of UA-8 significantly improved postischaemic left ventricular developed pressure (LVDP) and reduced infarction following ischaemia reperfusion compared with control and 11,12-EET. UA-7 (13-(2-(butylamino)-2-oxoacetamido)tridec-8(Z)-enoic acid), a compound lacking sEH inhibitory properties, also improved postischaemic LVDP, while co-perfusion with 14,15-EEZE, wortmannin or PI-103 attenuated the improved recovery. UA-8 prevented anoxia-reoxygenation induced loss of mitochondrial membrane potential and cell death in H9c2 cells, which was blocked by co-treatment of PI-103. CONCLUSIONS AND IMPLICATIONS: UA-8 provides significant cardioprotection against ischaemia reperfusion injury. The effects are attributed to EETs mimetic properties, which limits mitochondrial dysfunction via class-I PI3K signalling.
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".