Higher circulating 4-hydroxynonenal–protein thioether adducts correlate with more severe diastolic dysfunction in spontaneously hypertensive rats
Bibliographic record
Abstract
OBJECTIVE: Accumulating evidence supports a role of 4-hydroxynonenal (4HNE) in oxidative-stress related diseases, but its specific contribution to disease development remains to be clarified. Further to our finding of high circulating 4HNE-protein thioether adducts (4HNE-P) in spontaneously hypertensive rats (SHRs), we aimed at correlating 4HNE-P with cardiac function and testing the impact of antioxidant therapy. MATERIALS AND METHODS: The lipoperoxidation inhibitor probucol (10 mg/kg/day) or vehicle (corn oil) were administered daily (i.p.) for 4 weeks in 18-week-old SHRs (9 rats/group). Cardiac functions were assessed by echocardiography and 4HNE-P by gas chromatography/mass spectrometry. RESULTS: Diastolic dysfunction worsened in SHRs receiving vehicle as reflected by changes (P < 0.05) in indexes of left ventricular relaxation (increased isovolumic relaxation time) and compliance (increased E-wave deceleration rate; EDR). Higher circulating 4HNE-P correlated with diastolic dysfunction (EDR: R(2) = 0.518; P < 0.001) and heart rate (R(2) = 0.225; P < 0.05). Probucol prevented the deterioration of diastolic function, while lowering the mean and median of circulating 4HNE-P by 21% and 35%, respectively. CONCLUSION: Collectively, these results support a role for 4HNE in the pathophysiological events linked to disease progression in SHRs.
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 | 0.000 |
| 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) | 0.002 | 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".