已发表论文

综合单细胞与空间转录组学分析揭示银屑病病变中由FAP+成纤维细胞、免疫细胞及内皮细胞形成的病理性微环境

 

Authors Zhuang W, Zhang Q, Kong Q, Hui Y, Shen J, Zhang C, Sang H , Ye Q 

Received 27 May 2025

Accepted for publication 21 August 2025

Published 12 September 2025 Volume 2025:18 Pages 2323—2340

DOI https://doi.org/10.2147/CCID.S541106

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 4

Editor who approved publication: Dr Mio Nakamura

Wuwei Zhuang,1,* Qi Zhang,2,* Qingtao Kong,2,3,* Yun Hui,3 Jie Shen,1 Chen Zhang,3 Hong Sang,2 Qiao Ye1 

1Department of Rheumatology, The Second Affiliated Hospital of Jiaxing University, Jiaxing, People’s Republic of China; 2Department of Dermatology, Jinling Clinical Medical College, Nanjing Medical University, Nanjing, People’s Republic of China; 3Department of Dermatology, Jinling Hospital, Medical School of Nanjing University, Nanjing, People’s Republic of China

*These authors contributed equally to this work

Correspondence: Hong Sang, Department of Dermatology, Jinling Clinical Medical College, Nanjing Medical University, Nanjing, People’s Republic of China, Email sanghong@nju.edu.cn Qiao Ye, Department of Rheumatology, The Second Affiliated Hospital of Jiaxing University, Jiaxing, People’s Republic of China, Email jxdeyyyq@163.com

Purpose: The dysregulated immune microenvironment represents a key pathogenic driver in psoriatic lesions. However, the intricate cellular and molecular interactions underlying psoriasis remain incompletely elucidated. Therefore, we aim to employ integrated multi-omics approaches to characterize the immune microenvironment and pathogenic niche in psoriasis, thereby elucidating the cellular and molecular mechanisms of disease pathogenesis.
Methods: Integrated Single-cell RNA sequencing (scRNA-seq), spatial transcriptomics, and bulk RNA sequencing (RNA-seq) data to explore the heterogeneity of stromal cells and immune cells in psoriatic lesions and the complex spatial niches formed between them. Enrichment analysis, intercellular communication analysis, and spatial co-localization analysis were used to investigate the transcriptional changes and distribution characteristics of each cell type in the lesions of psoriasis patients.
Results: Using scRNA-seq, we identified a novel CD4+ tissue-resident memory T cell (TRM) subset that is exclusively present in lesional skin of psoriasis patients but absent in healthy skin. These cells exhibit elevated expression of genes including IL17RA, IL22, PD1 (PDCD1), CXCR6, ITGAE, CD69, TNFRSF9, TNFRSF4, IL7R, CD4, and STAT3. Additionally, we discovered a novel microvascular endothelial cell subset, designated Venous endo2, which highly expresses CD93, ACKR1, ICAM1, VCAM1, IL15, SELE, and SELP, while also overlapping with high endothelial venule (HEV)-associated transcriptional signatures. Integrated analysis of scRNA-seq and spatial transcriptomics further revealed strong spatial co-localization of Venous endo2 with fibroblast activation protein-positive fibroblasts (FAP+ Fbs), T cells, and antigen-presenting cells (APCs) in Psoriasis lesions—a pattern not observed in healthy control skin.
Conclusion: Through integrated multi-omics analysis, we identified a potential pathogenic niche in psoriasis patients, composed of Venous endo2, FAP+ Fbs, T cells, and APCs. This structure resembles tertiary lymphoid structures (TLS), suggesting a functional parallel in disease pathogenesis.

Keywords: psoriasis, single-cell RNA sequencing, spatial transcriptomics, immune microenvironment, inflammatory skin disease