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2026, 04, v.45 828-840
基于生物信息学和机器学习阐明双酚A诱发哮喘的机制
基金项目(Foundation): 国家自然科学基金项目(82260487); 云南省科技厅-昆明医科大学联合专项(202201AY070001-281); 昆明医科大学大学生创新性实验项目(2025-32)共同资助
邮箱(Email): jiankunliu1974@163.com;15877992076@163.com;
DOI: 10.13417/j.gab.045.000828
发布时间: 2026-05-19
出版时间: 2026-05-19
网络发布时间: 2026-05-19
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摘要:

双酚A(bisphenol A, BPA)是一种广泛存在的环境内分泌干扰物,其暴露与免疫介导性哮喘发生密切相关,但其具体分子机制仍不清楚。阐明BPA诱发哮喘的机制,对于认识环境污染物相关哮喘的发病基础并指导其预防和干预具有重要意义。本文通过整合网络毒理学、生物信息学及分子对接技术,从公共数据库获取BPA作用靶点及哮喘相关基因并取交集,随后对候选靶点进行基因本体(gene ontology, GO)功能注释与京都基因与基因组百科全书(kyoto encyclopedia of genes and genomes, KEGG)通路富集分析,结合机器学习筛选核心基因,并通过免疫浸润分析评估其与免疫细胞的相关性,最终采用分子对接验证BPA与核心靶点的结合能力,确定BPA诱发哮喘的靶点。共鉴定出145个BPA诱发哮喘的潜在关键靶点, GO与KEGG分析显示这些靶点主要富集于酶活性与结合活性、补体与凝血级联等生物过程与通路,进一步筛选获得5个核心基因(RIPK2、 CDC25B、 CRBN、 RELA、 IL13RA1),分子对接结果显示BPA与5个核心基因均表现出稳定的结合构象。该研究通过多组学整合分析初步阐明了其参与哮喘发生的潜在分子机制,为深入认识BPA的呼吸道毒性及探索哮喘的防治策略提供了依据。

Abstract:

Bisphenol A( BPA) is a ubiquitous environmental endocrine disruptor, and its exposure is closely associated with the development of immune-mediated asthma. However, the specific molecular mechanisms underlying BPA-induced asthma remain elusive. Elucidating these mechanisms is of great significance for understanding the pathogenic basis of environmental pollutant-related asthma and guiding its prevention and intervention. In this study, we integrated network toxicology, bioinformatics approaches, and molecular docking. We retrieved BPA-targeted genes and asthma-associated genes from public databases and identified their intersection. Subsequently, gene ontology( GO) functional annotation and kyoto encyclopedia of genes and genomes( KEGG) pathway enrichment analysis were performed on these candidate targets. Core genes were further screened using machine learning algorithms, and their correlation with immune cells was evaluated via immune infiltration analysis. Finally, molecular docking was employed to validate the binding capacity between BPA and these core genes, thereby confirming the key targets involved in BPA-induced asthma. A total of 145 potential key targets of BPA-induced asthma were identified. GO and KEGG analyses revealed that these targets were mainly enriched in biological processes and pathways related to enzyme activity, binding activity, as well as the complement and coagulation cascades. Further screening yielded 5 core genes(RIPK2, CDC25B, CRBN, RELA, IL13 RA1). The molecular docking analysis demonstrated that BPA stably bound to all five core genes, as evidenced by favorable binding conformations. This study preliminarily elucidated the potential molecular mechanisms by which BPA participates in the pathogenesis of asthma through integrated multi-omics analysis. This provides a basis for further understanding the respiratory toxicity of BPA and for exploring strategies for the prevention and treatment of asthma.

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基本信息:

DOI:10.13417/j.gab.045.000828

中图分类号:R562.25;Q811.4

引用信息:

[1]胥俊宇,张紫玉,张志毕,等.基于生物信息学和机器学习阐明双酚A诱发哮喘的机制[J].基因组学与应用生物学,2026,45(04):828-840.DOI:10.13417/j.gab.045.000828.

基金信息:

国家自然科学基金项目(82260487); 云南省科技厅-昆明医科大学联合专项(202201AY070001-281); 昆明医科大学大学生创新性实验项目(2025-32)共同资助

发布时间:

2026-05-19

出版时间:

2026-05-19

网络发布时间:

2026-05-19

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