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Macrophage and fibroblast trajectory inference and crosstalk analysis during myocardial infarction using integrated single-cell transcriptomic datasets.
Ke, Da; Cao, Mingzhen; Ni, Jian; Yuan, Yuan; Deng, Jiangyang; Chen, Si; Dai, Xiujun; Zhou, Heng.
Affiliation
  • Ke D; Department of Cardiology, Renmin Hospital of Wuhan University, Jiefang Road 238, Wuhan, 430060, People's Republic of China.
  • Cao M; Hubei Key Laboratory of Metabolic and Chronic Diseases, Wuhan, People's Republic of China.
  • Ni J; Department of Cardiology, Renmin Hospital of Wuhan University, Jiefang Road 238, Wuhan, 430060, People's Republic of China.
  • Yuan Y; Hubei Key Laboratory of Metabolic and Chronic Diseases, Wuhan, People's Republic of China.
  • Deng J; Department of Cardiology, Renmin Hospital of Wuhan University, Jiefang Road 238, Wuhan, 430060, People's Republic of China.
  • Chen S; Hubei Key Laboratory of Metabolic and Chronic Diseases, Wuhan, People's Republic of China.
  • Dai X; Department of Cardiology, Renmin Hospital of Wuhan University, Jiefang Road 238, Wuhan, 430060, People's Republic of China.
  • Zhou H; Hubei Key Laboratory of Metabolic and Chronic Diseases, Wuhan, People's Republic of China.
J Transl Med ; 22(1): 560, 2024 Jun 12.
Article in En | MEDLINE | ID: mdl-38867219
ABSTRACT

BACKGROUND:

Cardiac fibrosis after myocardial infarction (MI) has been considered an important part of cardiac pathological remodeling. Immune cells, especially macrophages, are thought to be involved in the process of fibrosis and constitute a niche with fibroblasts to promote fibrosis. However, the diversity and variability of fibroblasts and macrophages make it difficult to accurately depict interconnections.

METHODS:

We collected and reanalyzed scRNA-seq and snRNA-seq datasets from 12 different studies. Differentiation trajectories of these subpopulations after MI injury were analyzed by using scVelo, PAGA and Slingshot. We used CellphoneDB and NicheNet to infer fibroblast-macrophage interactions. Tissue immunofluorescence staining and in vitro experiments were used to validate our findings.

RESULTS:

We discovered two subsets of ECM-producing fibroblasts, reparative cardiac fibroblasts (RCFs) and matrifibrocytes, which appeared at different times after MI and exhibited different transcriptional profiles. We also observed that CTHRC1+ fibroblasts represent an activated fibroblast in chronic disease states. We identified a macrophage subset expressing the genes signature of SAMs conserved in both human and mouse hearts. Meanwhile, the SPP1hi macrophages were predominantly found in the early stages after MI, and cell communication analysis indicated that SPP1hi macrophage-RCFs interactions are mainly involved in collagen deposition and scar formation.

CONCLUSIONS:

Overall, this study comprehensively analyzed the dynamics of fibroblast and macrophage subsets after MI and identified specific subsets of fibroblasts and macrophages involved in scar formation and collagen deposition.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Single-Cell Analysis / Transcriptome / Fibroblasts / Macrophages / Myocardial Infarction Limits: Animals / Humans Language: En Journal: J Transl Med Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Single-Cell Analysis / Transcriptome / Fibroblasts / Macrophages / Myocardial Infarction Limits: Animals / Humans Language: En Journal: J Transl Med Year: 2024 Document type: Article