Understanding of the characteristics of fibroblasts in ischemic cardiomyopathy using single-nucleus RNA sequencing

Fibroblasts play a crucial role in the development and progression of heart failure in many heart-related diseases. However, the contributions of fibroblast and its subtypes to the pathogenesis of ischemic cardiomyopathy (ICM) remain unclear. In this study, we analyzed single-nucleus RNA sequencing data from cardiac tissues of seven ICM patients with heart failure and eight control subjects. Our findings indicate that, compared to controls, fibroblasts from ICM patients exhibit dysregulation of genes associated with cell-substrate adhesion and matrix or collagen fibril organization. We further identified five fibroblast subtypes, designated as FB1 through FB5, with FB3 exhibiting the highest frequency in ICM. Pseudotime trajectory analysis further revealed an evolutionary progression of fibroblasts from FB1/FB2 toward FB3. Differential gene expression analysis of FB3 highlighted several subtype-specific genes, such as NTM, THBS4, NRK, NAV2, and PLA2G5. Furthermore, intercellular interaction analysis revealed that FB3 exhibits weakened interactions with other cells under ICM. Specifically, signaling interactions involving ANGPTL and COLLAGEN are reduced, whereas pathways mediated by THBS, NRXN, and APP are strengthened. These results provide valuable insights into the fibroblast microenvironment and elucidate the pathological mechanisms underlying ICM, laying a theoretical foundation for the identification of novel therapeutic targets.

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Publication Details

Journal
Scientific Reports
Published
2025-05-29
DOI
https://doi.org/10.1038/s41598-025-00260-7
Citations
2
Primary Topic
Cardiomyopathy and Myosin Studies
Type
article
Field-Weighted Citation Impact
2.78

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article

Understanding of the characteristics of fibroblasts in ischemic cardiomyopathy using single-nucleus RNA sequencing

Qianyuan Zhang, Ziwen Cai, Yongqiao Zhang
2 citations
Scientific Reports
Cardiomyopathy and Myosin Studies
2.78
article

Understanding of the characteristics of fibroblasts in ischemic cardiomyopathy using single-nucleus RNA sequencing

Qianyuan Zhang, Ziwen Cai, Yongqiao Zhang
article en
2 citations

Abstract

Fibroblasts play a crucial role in the development and progression of heart failure in many heart-related diseases. However, the contributions of fibroblast and its subtypes to the pathogenesis of ischemic cardiomyopathy (ICM) remain unclear. In this study, we analyzed single-nucleus RNA sequencing data from cardiac tissues of seven ICM patients with heart failure and eight control subjects. Our findings indicate that, compared to controls, fibroblasts from ICM patients exhibit dysregulation of genes associated with cell-substrate adhesion and matrix or collagen fibril organization. We further identified five fibroblast subtypes, designated as FB1 through FB5, with FB3 exhibiting the highest frequency in ICM. Pseudotime trajectory analysis further revealed an evolutionary progression of fibroblasts from FB1/FB2 toward FB3. Differential gene expression analysis of FB3 highlighted several subtype-specific genes, such as NTM, THBS4, NRK, NAV2, and PLA2G5. Furthermore, intercellular interaction analysis revealed that FB3 exhibits weakened interactions with other cells under ICM. Specifically, signaling interactions involving ANGPTL and COLLAGEN are reduced, whereas pathways mediated by THBS, NRXN, and APP are strengthened. These results provide valuable insights into the fibroblast microenvironment and elucidate the pathological mechanisms underlying ICM, laying a theoretical foundation for the identification of novel therapeutic targets.

Scientific ReportsVol. 15(1)
Fujian Medical University (CN), Union Hospital (CN)
National Natural Science Foundation of China, Natural Science Foundation of Fujian Province, Fujian Medical University
Good health and well-being
Openalex Percentile: Top 10%
Cardiomyopathy and Myosin Studies
2.78
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Understanding of the characteristics of fibroblasts in ischemic cardiomyopathy using single-nucleus RNA sequencing — Qianyuan Zhang, Ziwen Cai, et al. · Scientific Reports (2025) | TGRS Research Map | TGRS