Immune regulatory networks and gut microbiota-associated targets in endometriosis: an integrative multi-omics and network analysis.

IF 2.3 4区 生物学 Q3 BIOLOGY
Open Life Sciences Pub Date : 2026-09-08 eCollection Date: 2026-01-01 DOI:10.1515/biol-2025-1372
Yan Liu, Shurong Liu, Chunyan Zhang, Lihua Pei, Jingyi Wu
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Abstract

Endometriosis is an estrogen-dependent disorder characterized by chronic inflammation, immune dysregulation, and altered hormone metabolism. Although gut microbiota-derived metabolites have been implicated in shaping immune microenvironments and lesion development, the underlying regulatory mechanisms remain incompletely understood. Here, we integrated multi-omics, protein-protein interaction (PPI), SHapley Additive exPlanations (SHAP), and single-cell transcriptomics to identify core targets and delineate their interactions with microbiota-derived metabolites, followed by molecular simulations to evaluate metabolite-target binding stability. In this study, we identified 61 differentially expressed genes (DEGs) associated with microbial metabolites. Among these, MET and SELL emerged as key hub genes, with MET showing a potentially protective association and SELL exhibiting a modest positive association with endometriosis risk. Specific gut microbes, including Bacteroides, Parabacteroides, and Bifidobacterium, along with metabolites such as palmitoylethanolamide and dihydroresveratrol, were implicated in modulating immune and inflammatory pathways relevant to lesion formation. Additionally, cell-cell communication analysis indicated that the 61 DEGs were enriched in the Macrophage migration inhibitory factor (MIF) and C-X-C motif chemokine ligand family (CXCL) signaling pathways, suggesting their potential importance in the endometriotic microenvironment. Computational simulations further indicated potential binding interactions between multiple metabolites and MET and SELL. These findings delineate a multi-layered regulatory framework linking gut microbiota, metabolites, molecular targets, and immune interactions, thereby providing a foundation for mechanistic studies and targeted therapeutic strategies.

子宫内膜异位症的免疫调节网络和肠道微生物群相关靶点:综合多组学和网络分析。
子宫内膜异位症是一种以慢性炎症、免疫失调和激素代谢改变为特征的雌激素依赖性疾病。尽管肠道微生物衍生的代谢物与形成免疫微环境和病变发展有关,但其潜在的调节机制仍不完全清楚。在这里,我们整合了多组学、蛋白质-蛋白质相互作用(PPI)、SHapley加法解释(SHAP)和单细胞转录组学来鉴定核心靶点,并描述它们与微生物衍生代谢物的相互作用,然后通过分子模拟来评估代谢物-靶点结合的稳定性。在这项研究中,我们鉴定了61个与微生物代谢物相关的差异表达基因(DEGs)。其中,MET和SELL是关键的枢纽基因,MET显示出潜在的保护作用,而SELL显示出与子宫内膜异位症风险适度的正相关。特定的肠道微生物,包括拟杆菌、拟副杆菌和双歧杆菌,以及代谢物,如棕榈酰乙醇酰胺和二氢白藜芦醇,参与调节与病变形成相关的免疫和炎症途径。此外,细胞间通讯分析表明,61个deg在巨噬细胞迁移抑制因子(MIF)和C-X-C基序趋化因子配体家族(CXCL)信号通路中富集,表明它们在子宫内膜异位微环境中的潜在重要性。计算模拟进一步表明,多种代谢物与MET和SELL之间存在潜在的结合相互作用。这些发现描绘了一个连接肠道微生物群、代谢物、分子靶点和免疫相互作用的多层调控框架,从而为机制研究和靶向治疗策略提供了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.50
自引率
4.50%
发文量
131
审稿时长
43 weeks
期刊介绍: Open Life Sciences (previously Central European Journal of Biology) is a fast growing peer-reviewed journal, devoted to scholarly research in all areas of life sciences, such as molecular biology, plant science, biotechnology, cell biology, biochemistry, biophysics, microbiology and virology, ecology, differentiation and development, genetics and many others. Open Life Sciences assures top quality of published data through critical peer review and editorial involvement throughout the whole publication process. Thanks to the Open Access model of publishing, it also offers unrestricted access to published articles for all users.
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