Selected Pathway Analyses to Gain Mechanistic Insights into the Pathogenesis of Feline Hypertrophic Cardiomyopathy
Bibliographic record
Abstract
Hypertrophic cardiomyopathy (HCM) is the most prevalent acquired heart disease in cats and shares many clinical, phenotypical and pathological features with human HCM. Despite its relevance, knowledge on the pathomechanisms underlying the disease is limited. The present study aimed to characterize the molecular phenotypic changes in cardiomyocytes in feline HCM (fHCM) to better understand their contribution to the pathogenesis. To achieve this, the myocardium of the left ventricular free wall of 15 cats with confirmed fHCM and 30 control cats (two age groups: 16 cats 18-month-old, and 14 older adult cats without cardiac disease) were subjected to RT-qPCRs for markers representative of cardiomyocyte function. Overall, all markers were expressed at the highest level in young control cats, and increasing age correlated with decreased expression, regardless of sex. The comparison between the older adult control cats and those with HCM showed increased transcription levels for most markers associated with the disease, and higher expression of all markers in affected male cats compared to females. The constitutive transcription of all markers provides evidence of continuous myocardial adaptation throughout cats' life. The high transcription values in the myocardium of young healthy cats and male cats affected by HCM suggest a particularly high myocardial responsiveness early in life and with HCM and reveal sex as relevant factor in the disease process. These results support the relevance of age and sex in the cardiac response to HCM in feline hearts.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".