ANTXR1 blockade enhances cardiac function in preclinical models of heart failure
Bibliographic record
Abstract
Heart disease, a leading cause of mortality worldwide, is in urgent need of improved therapies. Fibrosis, an accumulation of collagen-rich extracellular matrix in response to injury, is a hallmark of heart disease, but clinical agents that can interfere with the fibrotic pathway do not yet exist. Here we show that ANTXR1/TEM8, a pathology-induced transmembrane protein required for collagen removal, exacerbates injury in multiple models of heart failure. Genetic disruption of Antxr1 and treatment with human neutralizing antibodies prevented heart deterioration following acute myocardial infarction. ANTXR1 pharmacological blockade also improved heart function in models of pressure overload and obesity-induced heart disease with preserved ejection fraction. Improved heart function was accompanied by enhanced exercise tolerance. Mechanistic studies revealed an ANTXR1-antibody-driven improvement in post-infarct scar formation followed by attenuation of late-stage, chronic TGFβ-mediated extracellular matrix remodeling. Thus, ANTXR1-mediated collagen turnover during heart failure is both maladaptive and druggable, providing avenues for therapeutic intervention.
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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 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".