Why the study?
The magnitude of Ang II-induced cardiac fibrosis and its regression under RAAS blockade vary between patients, governed by complex genomic, epigenomic, transcriptomic, and metabolomic layers that modulate the transition to fibrotic heart failure.
Design
Narrative review
Answers are grounded in this paper and cite their sources.
May inform precision fibrosis trials in heart failure; leaves open prospective validation of multi-omic biomarkers.
Chronically elevated angiotensin II (Ang II) drives adverse cardiac remodelling, converting a reparative response into progressive interstitial and perivascular fibrosis that stiffens the ventricle and precedes overt heart failure. Acting through the angiotensin II type 1 receptor, Ang II generates reactive oxygen species, recruits and polarises immune cells and activates resident fibroblasts, converging on transforming growth factor-β (TGF-β)-dependent and mechanotransductive programmes that drive myofibroblast differentiation and excessive extracellular matrix (ECM) deposition. The magnitude of this response varies between patients: germline variation in renin–angiotensin–aldosterone system (RAAS) genes, loci for heart failure and imaging-defined fibrosis, epigenomic reprogramming of the fibroblast, non-coding RNA networks and metabolic rewiring of collagen-producing cells all modulate the transition from compensated hypertrophy to fibrotic failure. This review integrates these genomic, epigenomic, transcriptomic and metabolomic layers with the signalling architecture of Ang II-induced fibrosis, and reviews the circulating biomarkers—collagen turnover peptides, matricellular and immune mediators, non-coding RNAs and cell-free DNA methylation signatures—that could detect fibrotic activity before remodelling becomes irreversible. We then consider why fibrosis regression under RAAS blockade appears heterogeneous, which emerging targets are mechanistically credible, and how genotype–biomarker–imaging phenotyping could enrich antifibrotic trials. Priorities for ancestrally diverse cohorts and standardised biomarker methodology are identified.
No takes yet. Share an insight, caveat, or question.
Martínez‐Rodríguez et al. (2026) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: