Spatial organization of fibroblast subpopulations and niches across acute repair and chronic fibrotic remodeling of the human myocardium
Micu, A.; Matei, A.-E.; Li, Y.-N.; Pecher, A.-C.; Filla, T.; Bruch, P.-M.; Dietrich, S.; Henes, J.; Zweck, E.; Eckstein, M.; Klingel, K.; Distler, J. H. W.; Györfi, A.-H.
Show abstract
Myocardial fibrosis is a common end point of acute and chronic cardiovascular injury, yet the spatially organized fibroblast (Fb) and immune-cell states that sustain fibrotic remodeling across etiologies remain incompletely defined. We applied cyclic in situ hybridization (cISH)-based spatial transcriptomics to myocardial biopsies from patients with acute myocardial infarction (AMI), ischemic cardiomyopathy (ICM), hypertrophic cardiomyopathy (HCM), postviral myocardial fibrosis (PVMF), and systemic sclerosis associated primary heart involvement (SSc-pHI). CODEX-based protein imaging provided orthogonal support for cell subpopulations and cellular neighborhoods. Spatially informed clustering identified six Fb subpopulations: COL1A1hi/POSTNhi, NOTCH3+, TIMP1hi, GSNhi/DCNhi, AP1hi Fbs, and myofibroblasts. COL1A1hi/POSTNhi and NOTCH3+ Fbs were enriched in AMI, whereas GSNhi/DCNhi Fbs and myofibroblasts predominated in chronic fibrotic remodeling. These subpopulations displayed distinct extracellular matrix, inflammatory, and vasoregulatory programs. Infarction-associated reparative niches were enriched in COL1A1hi/POSTNhi or NOTCH3+ Fbs and SPP1+ or APOE+ macrophages (M{Phi}), whereas chronic fibroinflammatory niches were enriched in GSNhi/DCNhi or AP1hi Fbs or myofibroblasts with C1Q+ M{Phi} and plasma cells. The GSNhi/DCNhi Fb niche marked areas of subendocardial fibrosis, whereas the AP1hi Fb niche localized to perivascular fibrosis. In SSc-pHI, the actively fibrogenic COL1A1hi/POSTNhi Fb state characteristic of infarct scar formation was present at higher frequency than in other chronic entities and was individually associated with cardiac dysfunction, whereas the chronic GSNhi/DCNhi Fb niche was associated with the extent of interstitial fibrosis and anti-topoisomerase I autoantibodies. These data show that human myocardial fibrosis is organized into spatially distinct Fb subpopulations that assemble into context-specific fibroinflammatory niches across chronic fibrotic remodeling and repair after AMI.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Molecular Pathophysiology of Cardiac Injury and Cardiac Microthrombi in Fatal COVID-19: Insights from Clinico-histopathologic and Single Nuclei RNA Sequencing Analyses 95%
- Extracellular Matrix Alterations in Chronic Ischemic Cardiomyopathy Revealed by Quantitative Proteomics 93%
- Computational estimates of mitral annular diameter in systole and diastole cardiac cycle reveal novel genetic determinants of valve function and disease 93%
Similar papers in this journal
- Single-cell RNA-seq analysis reveals the crucial role of Collagen Triplex Helix Repeat Containing 1 (CTHRC1) cardiac fibroblasts for ventricular remodeling after myocardial infarction 96%
- Translational control of cardiac fibrosis 95%
- High-resolution transcriptomic profiling of the heart during chronic stress reveals cellular drivers of cardiac fibrosis and hypertrophy 95%
Similar papers in this journal
- Vascular smooth muscle cell atherosclerosis trajectories characterized at single cell resolution identify causal transcriptomic and epigenomic mechanisms of disease risk 94%
- Spatiotemporal single-cell RNA sequencing of developing hearts reveals interplay between cellular differentiation and morphogenesis 94%
- Reproducing extracellular matrix adverse remodelling of non-ST myocardialinfarction in a large animal model 94%
Similar papers in this journal
- Integrative proteomic analyses across common cardiac diseases yield new mechanistic insights and enhanced prediction 93%
- Targeted glycophagy ATG8 therapy reverses diabetic heart disease in mice and in human engineered cardiac tissues 93%
- Tbx5 maintains atrial identity by regulating an atrial enhancer network 93%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.