Heat shock treatment results in increased recruitment of labeled PMN following myocardial infarction
Bibliographic record
Abstract
One of the proposed mechanisms for the myocardial protective effects of heat shock (HS) treatment has been a reduction in the inflammatory response. The objective of the present study was to evaluate the impact of HS treatment in an established model of polymorphonuclear cell (PMN) migration following myocardial infarction (MI). Isolated purified PMNs (10 x 10(6) cells) labeled with (51)Cr were injected into Lewis rats following a left thoracotomy and ligation of the left anterior descending coronary artery causing MI. Two experimental groups of animals were created: MI group (n = 11) and HS+MI group (n = 7). HS treatment consisted of an elevation in core temperature to 42 degrees C for 15 min 24 h prior to MI. An additional group of control animals underwent sham thoracotomy (n = 5). All animals were euthanized at 24 h after MI, and gamma counts were obtained to estimate PMN migration. Myocardial injury was confirmed in all experimental animals (histology and echocardiography). The serum troponin I and infarct size (triphenyltetrazolium chloride) were similar in both groups. Labeled PMN migration was significantly higher in HS+MI animals (14.3 x 10(4) +/- 3.7 x 10(4) PMN) compared with MI group (9.5 x 10(4) +/- 3.6 x 10(4); P = 0.01), suggesting increased PMN migration as a result of HS treatment. HS treatment did not affect PMN migration to positive skin control sites (LPS). ICAM-1 myocardial expression was not significantly increased in HS+MI compared with MI group. In summary, HS treatment results in increased PMN migration into myocardium following MI independent of ICAM-1. These findings suggest that the proposed cardioprotective effect of HS may not be entirely due to a downregulation of myocardial inflammation as previously proposed.
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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) | 0.001 | 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".