Lack of S100A1 in mice confers a gender-dependent hypertensive phenotype and increased mortality after myocardial infarction
Bibliographic record
Abstract
S100A1 is a small Ca(2+)-binding protein expressed in the myocardium and blood vessels that is downregulated in the diseased heart and plays a role in the regulation of cardiac muscle Ca(2+) homeostasis and contractility. To understand its physiological role under basal conditions and after myocardial infarction (MI), we used a mouse strain with targeted deletion of the S100A1 gene [S100A1 knockout (KO) mice]. We compared 49 wild-type (WT) and 56 S100A1 KO mice (6-8 wk old) over 28 days after MI with sham-operated controls. We also examined the effect of S100A1 deficiency on vascular function of isolated blood vessels. S100A1 KO mice demonstrated worse survival compared with WT mice (21% vs. 69%, respectively, P < 0.001). Hemodynamic evaluation revealed a higher mean arterial pressure (MAP) in sham-operated KO animals compared with WT animals (99 +/- 4 vs. 77 +/- 3 mmHg, respectively, P < 0.001) that persisted in both groups after MI (86 +/- 2 vs. 66 +/- 4 mmHg, respectively, P < 0.001). Sham-operated male S100A1 KO mice had higher MAP than female KO mice (122 +/- 5 vs. 93 +/- 3 mmHg, respectively P < 0.05) and reduced survival after MI (4% vs. 27%, respectively, P < 0.05). In isolated aortas and mesenteric arteries, ACh-evoked vasodilatation in KO mice was significantly reduced compared with WT mice (P < 0.05). Nitric oxide production was reduced in endothelial cells isolated from KO mice. Thus, absence of S100A1 results in acute functional impairment and high mortality after MI associated with a gender-specific hypertensive phenotype. S100A1 appears to play a role in the endothelium-dependent regulation of blood pressure.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".