Na<sup>+</sup>–H<sup>+</sup>exchanger inhibitor prevents early death in hereditary cardiomyopathy
Bibliographic record
Abstract
Using the UM-X7.1 hereditary cardiomyopathic and muscular dystrophy hamsters (HCMH), we tested the effects of lifelong preventive or curative treatments during the heart failure phase with the NHE-1 inhibitor EMD 87580 (EMD) or with the angiotensin-converting enzyme inhibitor cilazapril on the intracellular Na(+) and Ca(2+) overloads, elevated level of NHE-1, necrosis, hypertrophy, heart failure, and early death. Our results showed that 310-day pretreatment of 30-day-old HCMHs with EMD significantly prevented cardiac necrosis, cardiomyocyte hypertrophy, and reduced the heart to body mass ratio. This treatment significantly prevented Na(+) and Ca(2+) overloads and the increase in NHE-1 protein level observed in HCMHs. Importantly, this lifelong preventive treatment significantly decreased the levels of creatine kinase and prevented early death of HCMHs. Curative treatment of hypertrophic 275-day-old HCMHs for 85 days with EMD significantly prevented hypertrophy and early death of HCMHs. However, treatments with cilazapril did not have any significant effects on the cardiac parameters studied or on early death of HCMHs. Our results suggest that the increase in the NHE-1 level and the consequent Na(+) and Ca(2+) overloads are implicated in the pathological process leading to heart failure and early death in HCMHs, and treatment with the NHE-1 inhibitor is promising for preventing early death in hereditary cardiomyopathy.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| 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".