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通过生物信息学分析鉴定子宫内膜异位症中与 M2 巨噬细胞相关的免疫细胞浸润和枢纽基因。

Identifying Immune Cell Infiltration and Hub Genes Related to M2 Macrophages in Endometriosis by Bioinformatics Analysis.

机构信息

Department of Obstetrics and Gynecology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, 315010, China.

出版信息

Reprod Sci. 2023 Nov;30(11):3388-3399. doi: 10.1007/s43032-023-01227-7. Epub 2023 Jun 12.

Abstract

Endometriosis (EM) is a chronic, estrogen-dependent inflammatory disease. Presently, the pathophysiology of EM is still unclear, and numerous studies have established that the immune system plays a major role in the pathophysiology of EM. Six microarray datasets were downloaded from the GEO public database. A total of 151 endometrial samples (72 ectopic endometria and 79 controls) were included in this study. CIBERSORT and ssGSEA were applied to calculate the immune infiltration of EM and control samples. Moreover, we validated four different correlation analyses to explore immune microenvironment of EM and finally identified M2 macrophage-related hub genes and further conducted the specific immunologic signaling pathway analysis by GSEA. The logistic regression model was investigated by ROC and further validated by two external datasets. From the results of the two immune infiltration assays, we concluded that M2 macrophages, regulatory T cells (Tregs), M1 macrophages, activated B cells, T follicular helper cells, activated dendritic cells, and resting NK cells have a significant difference between control and EM tissues. Through multidimensional correlation analysis, we found that macrophages play an important central role in cell-to-cell interactions, especially M2 macrophages. Four immune-related hub genes, namely FN1, CCL2, ESR1, and OCLN, are closely related to M2 macrophages and play a crucial role in the occurrence and immune microenvironment of endometriosis. The combined AUC of ROC prediction model in test and validation sets were 0.9815 and 0.8206, respectively. We conclude that M2 macrophages play a central role in the immune-infiltrating microenvironment of EM.

摘要

子宫内膜异位症(EM)是一种慢性、雌激素依赖性炎症性疾病。目前,EM 的病理生理学仍不清楚,许多研究已经证实免疫系统在 EM 的病理生理学中起着重要作用。本研究从 GEO 公共数据库中下载了 6 个微阵列数据集。共纳入 151 例子宫内膜样本(72 例异位子宫内膜和 79 例对照)。应用 CIBERSORT 和 ssGSEA 计算 EM 和对照样本的免疫浸润。此外,我们验证了 4 种不同的相关分析方法,以探讨 EM 的免疫微环境,并最终确定了 M2 巨噬细胞相关的枢纽基因,并进一步通过 GSEA 进行了特定的免疫信号通路分析。通过 ROC 研究了逻辑回归模型,并通过两个外部数据集进行了进一步验证。从两种免疫浸润检测的结果来看,我们得出结论,M2 巨噬细胞、调节性 T 细胞(Tregs)、M1 巨噬细胞、活化 B 细胞、滤泡辅助 T 细胞、活化树突状细胞和静止自然杀伤细胞在对照和 EM 组织之间存在显著差异。通过多维相关分析,我们发现巨噬细胞在细胞间相互作用中起着重要的中心作用,特别是 M2 巨噬细胞。FN1、CCL2、ESR1 和 OCLN 这四个与 M2 巨噬细胞密切相关的免疫相关枢纽基因,在子宫内膜异位症的发生和免疫微环境中起着关键作用。ROC 预测模型在测试集和验证集中的 AUC 分别为 0.9815 和 0.8206。我们得出结论,M2 巨噬细胞在 EM 的免疫浸润微环境中起着核心作用。

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