Fan Weimin, Wu Duanqing, Zhang Liwen, Ye Jun, Guan Junhua, Yang Ying, Mei Xiaohui, Chen Rujun
Department of Gynecology, Shanghai Fifth People's Hospital, Fudan University, No. 801, He Qing Road, Minhang District, Shanghai, 200240, China.
Int Urogynecol J. 2023 Oct;34(10):2529-2537. doi: 10.1007/s00192-023-05539-9. Epub 2023 May 24.
We aimed to explore the cellular properties of fibroblasts and smooth muscle cells (SMCs), the two major cell types of the vagina wall, in pelvic organ prolapse (POP) to improve the knowledge of the underlying molecular mechanisms of POP.
The single-cell RNA sequencing (scRNA-seq) profile GSE151202 was downloaded from NCBI Gene Expression Omnibus, in which vaginal wall tissues were harvested from patients with anterior vaginal wall prolapse and control subjects respectively. The scRNA-seq data of samples (5 POP and 5 controls) were adopted for analysis. Cluster analysis was performed to identify the cell subclusters. Trajectory analysis was applied to construct the differentiation trajectories of fibroblasts and SMCs. Cellular communication analysis was carried out to explore the ligand-receptor interactions between fibroblasts/SMCs and immune cells.
Ten subclusters were determined in both groups, among which fibroblasts and SMCs were the most abundant cell types. Compared with controls, fibroblasts increased whereas SMCs declined in POP. During the transition of fibroblasts and SMCs from a normal into a disease state, extracellular matrix organization and antigen presentation were heightened. The intercellular communications were altered in POP. Interactions between fibroblasts/SMCs and macrophages/natural killer/T cells were strengthened as more ligand-receptor pairs involved in antigen presentation pathways were gained in POP.
Extracellular matrix organization and antigen presentation abilities of fibroblasts and SMCs were enhanced in POP.
我们旨在探究盆腔器官脱垂(POP)时阴道壁的两种主要细胞类型,即成纤维细胞和平滑肌细胞(SMC)的细胞特性,以增进对POP潜在分子机制的了解。
从NCBI基因表达综合数据库下载单细胞RNA测序(scRNA-seq)图谱GSE151202,其中分别从阴道前壁脱垂患者和对照受试者采集阴道壁组织。采用样本(5例POP患者和5例对照)的scRNA-seq数据进行分析。进行聚类分析以识别细胞亚群。应用轨迹分析构建成纤维细胞和SMC的分化轨迹。开展细胞通讯分析以探索成纤维细胞/SMC与免疫细胞之间的配体-受体相互作用。
两组均确定了10个亚群,其中成纤维细胞和SMC是最丰富的细胞类型。与对照组相比,POP中成纤维细胞增加而SMC减少。在成纤维细胞和SMC从正常状态转变为疾病状态的过程中,细胞外基质组织和抗原呈递增强。POP中的细胞间通讯发生改变。成纤维细胞/SMC与巨噬细胞/自然杀伤细胞/T细胞之间的相互作用增强,因为POP中更多参与抗原呈递途径的配体-受体对增加。
POP中成纤维细胞和SMC的细胞外基质组织和抗原呈递能力增强。