Identification of a key smooth muscle cell subset driving ischemic cardiomyopathy progression through single-cell RNA sequencing

Abstract Cardiomyopathy encompasses a range of diseases that severely affect the complex functions of the heart, involving structural and functional abnormalities, and is associated with high mortality. Recent studies have highlighted the critical role of ferroptosis in regulating oxidative stress a...

Full description

Saved in:
Bibliographic Details
Main Authors: Wenyang Nie, Yong Wang, Yuanyuan Xiao, Zhiheng Lin, Jingwen Zhang, Zhijie Zhao, Zhen Wang
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-025-09928-6
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1849388260968628224
author Wenyang Nie
Yong Wang
Yuanyuan Xiao
Zhiheng Lin
Jingwen Zhang
Zhijie Zhao
Zhen Wang
author_facet Wenyang Nie
Yong Wang
Yuanyuan Xiao
Zhiheng Lin
Jingwen Zhang
Zhijie Zhao
Zhen Wang
author_sort Wenyang Nie
collection DOAJ
description Abstract Cardiomyopathy encompasses a range of diseases that severely affect the complex functions of the heart, involving structural and functional abnormalities, and is associated with high mortality. Recent studies have highlighted the critical role of ferroptosis in regulating oxidative stress and inflammation in cardiomyopathy. In this study, we established that the C6 S100A4+ SMCs subpopulation is critical by performing an integrated single-cell analysis of the known publicly available data GSE145154. We validated the role of S100A4 in SMCs through in vitro experiments, providing evidence for its potential as a therapeutic target. Furthermore, these cells interact with endothelial cells through the PTN-NCL pathway, influencing disease progression. Key transcription factors, including KLF2, FOS, FOSB, and JUNB, were identified. This key subpopulation, along with its associated signaling pathways, marker genes, stemness genes, and transcription factors, may offer new insights for preventing the onset and progression of cardiomyopathy, particularly ischemic cardiomyopathy.
format Article
id doaj-art-dff76ca20cb0428a97d3fc084ded6274
institution Kabale University
issn 2045-2322
language English
publishDate 2025-07-01
publisher Nature Portfolio
record_format Article
series Scientific Reports
spelling doaj-art-dff76ca20cb0428a97d3fc084ded62742025-08-20T03:42:22ZengNature PortfolioScientific Reports2045-23222025-07-0115112510.1038/s41598-025-09928-6Identification of a key smooth muscle cell subset driving ischemic cardiomyopathy progression through single-cell RNA sequencingWenyang Nie0Yong Wang1Yuanyuan Xiao2Zhiheng Lin3Jingwen Zhang4Zhijie Zhao5Zhen Wang6First Clinical Medical College, Shandong University of Traditional Chinese MedicineDepartment of Cardiovascular Diseases, Affiliated Hospital of Shandong University of Traditional Chinese MedicineDepartment of Ophthalmology, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu HospitalDepartment of Gynecology, Longhua Hospital, Shanghai University of Traditional Chinese MedicineDepartment of Cardiovascular Diseases, Affiliated Hospital of Shandong University of Traditional Chinese MedicineDepartment of Plastic and Reconstructive Surgery, Shanghai Ninth People’s Hospital, School of Medicine, Shanghai Jiao Tong UniversityDepartment of Cardiovascular Diseases, Affiliated Hospital of Shandong University of Traditional Chinese MedicineAbstract Cardiomyopathy encompasses a range of diseases that severely affect the complex functions of the heart, involving structural and functional abnormalities, and is associated with high mortality. Recent studies have highlighted the critical role of ferroptosis in regulating oxidative stress and inflammation in cardiomyopathy. In this study, we established that the C6 S100A4+ SMCs subpopulation is critical by performing an integrated single-cell analysis of the known publicly available data GSE145154. We validated the role of S100A4 in SMCs through in vitro experiments, providing evidence for its potential as a therapeutic target. Furthermore, these cells interact with endothelial cells through the PTN-NCL pathway, influencing disease progression. Key transcription factors, including KLF2, FOS, FOSB, and JUNB, were identified. This key subpopulation, along with its associated signaling pathways, marker genes, stemness genes, and transcription factors, may offer new insights for preventing the onset and progression of cardiomyopathy, particularly ischemic cardiomyopathy.https://doi.org/10.1038/s41598-025-09928-6Single-cell RNA sequencingCardiomyopathySmooth muscle cellsFerroptosisExosomesInflammation
spellingShingle Wenyang Nie
Yong Wang
Yuanyuan Xiao
Zhiheng Lin
Jingwen Zhang
Zhijie Zhao
Zhen Wang
Identification of a key smooth muscle cell subset driving ischemic cardiomyopathy progression through single-cell RNA sequencing
Scientific Reports
Single-cell RNA sequencing
Cardiomyopathy
Smooth muscle cells
Ferroptosis
Exosomes
Inflammation
title Identification of a key smooth muscle cell subset driving ischemic cardiomyopathy progression through single-cell RNA sequencing
title_full Identification of a key smooth muscle cell subset driving ischemic cardiomyopathy progression through single-cell RNA sequencing
title_fullStr Identification of a key smooth muscle cell subset driving ischemic cardiomyopathy progression through single-cell RNA sequencing
title_full_unstemmed Identification of a key smooth muscle cell subset driving ischemic cardiomyopathy progression through single-cell RNA sequencing
title_short Identification of a key smooth muscle cell subset driving ischemic cardiomyopathy progression through single-cell RNA sequencing
title_sort identification of a key smooth muscle cell subset driving ischemic cardiomyopathy progression through single cell rna sequencing
topic Single-cell RNA sequencing
Cardiomyopathy
Smooth muscle cells
Ferroptosis
Exosomes
Inflammation
url https://doi.org/10.1038/s41598-025-09928-6
work_keys_str_mv AT wenyangnie identificationofakeysmoothmusclecellsubsetdrivingischemiccardiomyopathyprogressionthroughsinglecellrnasequencing
AT yongwang identificationofakeysmoothmusclecellsubsetdrivingischemiccardiomyopathyprogressionthroughsinglecellrnasequencing
AT yuanyuanxiao identificationofakeysmoothmusclecellsubsetdrivingischemiccardiomyopathyprogressionthroughsinglecellrnasequencing
AT zhihenglin identificationofakeysmoothmusclecellsubsetdrivingischemiccardiomyopathyprogressionthroughsinglecellrnasequencing
AT jingwenzhang identificationofakeysmoothmusclecellsubsetdrivingischemiccardiomyopathyprogressionthroughsinglecellrnasequencing
AT zhijiezhao identificationofakeysmoothmusclecellsubsetdrivingischemiccardiomyopathyprogressionthroughsinglecellrnasequencing
AT zhenwang identificationofakeysmoothmusclecellsubsetdrivingischemiccardiomyopathyprogressionthroughsinglecellrnasequencing