已发表论文

单细胞转录组数据的整合揭示了痤疮细胞组成和通讯的差异

 

Authors Zhao CX, Wang SL, Li HX, Li X 

Received 18 September 2023

Accepted for publication 21 November 2023

Published 30 November 2023 Volume 2023:16 Pages 3413—3426

DOI https://doi.org/10.2147/CCID.S436776

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Dr Jeffrey Weinberg

Purpose: Acne is a kind of hair follicle sebaceous inflammatory disease, which has a high incidence rate among adolescents. Comparative data on cells which beneficial for precise treatment of acne patients.
Patients and Methods: After integrating and removing the batch effect of single-cell transcriptomics data of acne patients and health skin, the dimensionality reduction clustering was performed and the change in characteristics of each cell group were analyzed. Further, cell communication differences between gender were analyzed by use Cellchat software.
Results: 70,189 cells were analyzed, and 11 cell groups were identified. The proportion of basal cells and macrophages in skin of acne patients are relatively high than that of skin in healthy people. The results of cell communication showed that the communication intensity of acne patients was significantly higher than that of healthy skin, and the endothelial cells showed a strong ability to receive signals. From the perspective of gender differences, the proportion of macrophages in male patients were higher than that in female patients, and there were a large number of basal cells in the lesion area of female patients. There are also have some specific immune response ligand-receptor regulatory signals in male patients.
Conclusion: There are significant differences in skin cell composition and cell communication patterns between acne patients and healthy people, especially reflected in gender differences. Basal cells, macrophages and endothelial cells can serve as key targets for acne treatment. The treatment methods for men and women should be more personalized.
Keywords: acne, single-cell, gender, cell communication, cell composition