Insulin-induced myocardial protection in isolated ischemic rat hearts requires p38 MAPK phosphorylation of Hsp27
Bibliographic record
Abstract
Six hours after insulin treatment, hearts express heat shock protein 70 (Hsp70) and have improved contractile function after ischemia-reperfusion injury. In this study we examined hearts 1 h after insulin treatment for contractile function and for expression of Hsp70 and Hsp27. Adult, male Sprague-Dawley rats were assigned to groups: 1) sham, 2) control, 3) insulin injected (200 microU/g body wt), 4) heat shock treated (core body temperature, 42 degrees C for 15 min), and 5) heat shock and insulin treated. At 1 h after these treatments, hearts were isolated, equilibrated to Langendorff perfusion for 30 min, and then subjected for 30 min no-flow global ischemia (37 degrees C) followed by 2 h of reperfusion. Insulin-treated hearts had significantly increased contractile function compared with control hearts. At 1 h after insulin treatment, a minimal change in Hsp70 and Hsp27 content were detected. By 3 h after insulin treatment, a significant increase in Hsp70, but not Hsp27, was detected by Western blot analysis. By immunofluorescence, minimal Hsp70 was detected in insulin-treated hearts, whereas Hsp27 was detected in all hearts, indicative of its constitutive expression. Phosphospecific isoforms of Hsp27 were detected in insulin-, heat shock-, and heat shock and insulin-treated hearts. After ischemia and reperfusion, the insulin-treated hearts had significantly elevated levels of phosphorylated Hsp27. Inhibition of p38 MAPK with SB-203580 blocked the insulin-induced phosphorylation of Hsp27 and the improved functional recovery. In conclusion, insulin induces an apparent rapid phosphorylation of Hsp27 that is associated with improved functional recovery after ischemia-reperfusion injury.
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) | 0.000 | 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".