Cardiovascular
While cardiac biopsies are not part of standard patient care, FibroNest™ biomarkers play a pivotal role in advancing cardiovascular research. By quantifying fibrosis architecture and remodeling in preclinical tissues, they enable the discovery and development of novel antifibrotic interventions and the validation of noninvasive imaging and circulating biomarkers for translation.
TransfpormiG cardiac fibrosis PRE-CLINICAL quantification
Cardiac Fibrosis quantification in animal models is hindered by sampling bias, categorical scoring, and low sensitivity to early or partial remodeling. Traditional histology lacks reproducibility and fails to capture fiber architecture, alignment, and spatial heterogeneity, limiting accurate assessment of disease progression, therapeutic response, and translational correlation across preclinical and clinical settings.
“The Fibrotic Cardiac Muscle”. Pharmanest capabilities and case studies. Petitjean at al, 2024. Publications oin-going
DISCOVERY OF NEW FIBROTYPES of MITRAL VALVE PROLAPSE
Digital pathology revealed that myocardial fibrosis in Mitral Valve Prolapse (MVP) is mature and highly organized at surgery, indicating late-stage remodeling. This enables earlier detection, stratification of arrhythmic risk, and improved surgical timing. Quantitative collagen metrics are poised to offer prognostic value, guide therapeutic targeting, and support precision approaches to MVP-associated cardiomyopathy.
Collagen Fiber Maturity and Architecture in MVP-Associated Fibrosis Quantified by Digital Pathology. Phookan et al. Cells 2025, 14(19), 1536
FIBRONEST IDENTIFIES Etiology-based CardiAc Fibrotypes
FibroNest™ revealed distinct yet overlapping fibrotypes across ischemic, non-ischemic, LMNA-related, and structural cardiomyopathies. 92 collagen traits were shared across etiologies, linking vascular and structural remodeling. These findings enable cross-disease fibrosis profiling, refine diagnostic classification, guide antifibrotic therapy development, and support precision medicine in cardiomyopathy management.
Artificial intelligence-assisted digital pathology characterizes the fibrosis phenotypes in Cardiomyopathy. Amrute et Al. 2024 Keystone Fibrosis