Absence of the calcium-binding protein, S100A1, confers pulmonary hypertension in mice associated with endothelial dysfunction and apoptosis
Bibliographic record
Abstract
AIMS: S100A1, a 10-kDa, Ca(2+)-binding protein, is expressed in endothelial cells (ECs) and binds eNOS. Its absence is associated with impaired production of nitric oxide (NO) and mild systemic hypertension. As endothelial dysfunction contributes to clinical and experimental pulmonary hypertension (PH), we investigated the impact of deleting S100A1 in mice, on pulmonary haemodynamics, endothelial function, NO production, associated signalling pathways, and apoptosis. METHODS AND RESULTS: Compared with wild-type (WT), S100A1-knock-out mice (KO) exhibited increased right ventricular (RV) weight/body weight ratio and elevated RV pressure in the absence of altered left ventricular filling pressures, accompanied by increase in wall thickness of muscularized pulmonary arteries and a reduction in microvascular perfusion. In isolated lung preparations, KO revealed reduced basal NO, blunted dose-responsiveness to acetylcholine, and augmented basal and angiotensin (AII)-induced pulmonary vascular resistance (R₀) compared with WT. Pre-treatment of KO lungs with S100A1 attenuated the AII-induced increase in pulmonary arterial pressure and R₀. S100A1-induced phosphorylation of eNOS, Akt, and ERK1/2 is attenuated in pulmonary EC of KO compared with WT. Basal and TNF-α-induced EC apoptosis is greater in KO vs. WT, and cell survival is enhanced by S100A1 treatment. CONCLUSION: Our data demonstrate that the absence of S100A1 results in PH by disruption of its normal capacity to (i) enhance pulmonary EC function by induction of eNOS activity and NO levels via Akt/ERK1/2 pathways and (ii) promote EC survival. The ability of exogenously administered S100A1 to rescue this phenotype makes it an attractive therapeutic target in the treatment of PH.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".