Combining distinctive and novel loci doubles BP reduction, reverses diastolic dysfunction and mitigates LV hypertrophy
Bibliographic record
Abstract
OBJECTIVES: Diastolic dysfunction often represents the onset of diastolic heart failure (DHF). We previously showed in principle that diastolic function in Dahl salt-sensitive rats (DSS) can be genetically determined by quantitative trait loci (QTLs) that also modulate blood pressure (BP). METHODS: We analyzed cardiac phenotypes of four 'single' congenic strains by echocardiography, in which a specific DSS chromosome segment was replaced by its normotensive Lewis homologue. RESULTS: Two of the strains permanently lowered BP, and but attenuated diastolic dysfunction only in rats at 10 weeks of age, not at 15 weeks fed on a 2% NaCl diet starting from 8 weeks of age. We then combined multiple QTLs by integrating several 'single' congenic strains. As a result, BP was greatly reduced. Cardiac dysfunction and LV hypertrophy were continuously improved from 10 to 15 weeks, although the degree and timing of the improvement varied among different congenic combinations. CONCLUSION: Distinct QTLs exist that simultaneously modulate BP and diastolic function. These QTLs, in combination, synergistically lowered BP and permanently alleviated or reversed diastolic dysfunction. The genes that are contained in the congenic strains affecting diastolic function are not known for their specific influence on BP. Novel long-term strategies of prognosis, diagnosis and therapy for hypertensive DHF appear from this work.
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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) | 0.001 | 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 | 0.001 |
| 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".