Single-cell RNA sequencing reveals the contribution of smooth muscle cells and endothelial cells to fibrosis in human atrial tissue with atrial fibrillation
2024

Single-cell RNA sequencing reveals cell types involved in fibrosis in atrial fibrillation

Sample size: 18 publication 10 minutes Evidence: moderate

Author Information

Author(s): Na An, Yang Fan, Zhang Guoxia, Jiang Yuchen, Liu Haoqi, Gao Yonghong, Li Yingjian, Ji Peifeng

Primary Institution: Guang’anmen Hospital, Chinese Academy of Chinese Medical Sciences

Hypothesis

What are the contributions of smooth muscle cells and endothelial cells to fibrosis in human atrial tissue with atrial fibrillation?

Conclusion

The study provides a detailed cellular landscape of atrial tissue in patients with atrial fibrillation and identifies key cell types and signaling pathways involved in fibrosis.

Supporting Evidence

  • Single-cell RNA sequencing identified eight different cell types and 23 subpopulations in atrial tissue.
  • Fibroblast subpopulation FB3 was significantly increased in atrial fibrillation samples compared to sinus rhythm samples.
  • Endothelial cells showed increased expression of fibrosis-related genes in atrial fibrillation.

Takeaway

Researchers looked at heart tissue from patients with a heart condition called atrial fibrillation to see what different types of cells are involved in making the heart stiff and less healthy.

Methodology

Single-cell RNA sequencing was performed on right atrial appendages collected from patients undergoing coronary bypass grafting and/or valve replacement.

Potential Biases

Potential biases may arise from the surgical sampling of heart tissue and the specific patient population studied.

Limitations

The study had a limited sample size and gender imbalance, which may affect the generalizability of the findings.

Participant Demographics

50% female in the scRNA-seq analysis; 16.7% female in proteomics; 33% female in FISH analysis.

Statistical Information

P-Value

p<0.05

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1186/s10020-024-00999-1

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