Suppr超能文献

整合分析揭示 COL5A2 在克罗恩病中的诊断和预测价值及其与免疫环境的关联。

Integrated analyses reveal the diagnostic and predictive values of COL5A2 and association with immune environment in Crohn's disease.

机构信息

Department of Pathology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.

出版信息

Genes Immun. 2024 Jun;25(3):209-218. doi: 10.1038/s41435-024-00276-5. Epub 2024 May 24.

Abstract

The pathogenesis of Crohn's disease (CD) involves abnormal immune cell infiltration and dysregulated immune response. Therefore, thorough research on immune cell abnormalities in CD is crucial for improved treatment of this disease. Single-cell RNA sequencing (scRNA-seq) and bulk RNA-seq data of CD were obtained from the Gene Expression Omnibus (GEO) database. Cell-type identification by estimating relative subsets of RNA transcripts (CIBERSORT), weighted gene co-expression network analysis (WGCNA), protein-protein interaction (PPI) networks evaluated the proportion of immune infiltrating cells, constructed co-expression network and identified key genes, respectively. Based on the dataset (GSE134809), 15 cell clusters were defined and labeled as different cell types. Among the 11 modules, the yellow module had the closest relationship with plasma cells (cluster 5). Confirmed using RNA sequencing and IHC assay, the expression of COL5A2 in CD samples was higher than that in control samples. Furthermore, the COL5A2 protein expression remarkably decreased in the group of patients who responded to anti-tumor necrosis factor (TNF) treatments, compared to the non-response group. The comprehensive analyses described here provided novel insight into the landscape of CD-associated immune environment. In addition, COL5A2 were identified as potential diagnostic indicators for CD, as well as promising predictive markers for CD patients.

摘要

克罗恩病(CD)的发病机制涉及异常免疫细胞浸润和免疫反应失调。因此,深入研究 CD 中的免疫细胞异常对于改善这种疾病的治疗至关重要。从基因表达综合数据库(GEO)中获得了 CD 的单细胞 RNA 测序(scRNA-seq)和批量 RNA-seq 数据。通过估计相对 RNA 转录物子集(CIBERSORT)进行细胞类型鉴定、加权基因共表达网络分析(WGCNA)、蛋白质-蛋白质相互作用(PPI)网络分别评估免疫浸润细胞的比例、构建共表达网络和识别关键基因。基于数据集(GSE134809),定义并标记了 15 个细胞簇为不同的细胞类型。在 11 个模块中,黄色模块与浆细胞(簇 5)关系最密切。通过 RNA 测序和 IHC 检测证实,CD 样本中的 COL5A2 表达高于对照样本。此外,与非应答组相比,对肿瘤坏死因子(TNF)治疗有反应的患者组中 COL5A2 蛋白表达显著降低。这里描述的综合分析提供了对 CD 相关免疫环境的新见解。此外,COL5A2 被鉴定为 CD 的潜在诊断指标,以及 CD 患者有前途的预测标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/192c/11178494/5f03fc8174d4/41435_2024_276_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验