孟德尔随机化
计算生物学
基因
生物
疾病
混淆
生物信息学
毒性
遗传学
电池类型
细胞因子
机制(生物学)
免疫学
遗传关联
医学
孟德尔遗传
作者
Jun Pei,Jinpu Peng,Xingyu Pan,Moudong Wu,Xiong Zhan,Dan Wang,Guohua Zhu,Wei Wang,Nini An
标识
DOI:10.1016/j.ecoenv.2025.119425
摘要
The current study explored the potential toxic mechanisms and targets of PM 2.5 -induced different types of cystitis by using Mendelian randomization (MR) analysis and network toxicology. We first found a significant causal association between PM 2.5 and cystitis by MR analysis. Subsequently, we obtained a total of 18,763 PM 2.5 -regulated genes through the CTD database, and the enrichment analysis suggested that PM 2.5 is mainly closely related to biological functions such as oxidative stress, apoptosis, cytokine production, and inflammation. Next, we obtained disease targets for total cystitis and four common types of cystitis (interstitial cystitis, hemorrhagic cystitis, radiation cystitis, and bacterial cystitis) through the GeneCards database, and intersected them with PM 2.5 -regulated genes, and the intersected genes we defined as PM 2.5 -regulated genes in the corresponding types of cystitis. Enrichment analysis suggested that PM 2.5 was strongly associated with cytokine production, inflammatory response, and oxidative stress in different types of cystitis. Subsequently, we constructed PPI protein networks in each of the different types of cystitis, and utilized different algorithms in Cytoscape software to identify the key regulatory genes. Among them, we found that IL1B and CD4 were associated with all types of cystitis, and therefore, we defined them as Hub genes in cystitis. In summary, our findings provide a theoretical basis for understanding the potential toxic mechanisms and targets of PM 2.5 -induced cystitis. • Causal relationship between PM2.5 exposure and cystitis. • PM2.5 may induce cystitis by modulating cytokine production, inflammatory responses, and oxidative stress. • IL1B and CD4 may serve as potential targets for PM2.5-induced cystitis. • The current study combines Mendelian randomization and network toxicology with each other to comprehensively explore the possible mechanisms and toxicity targets of PM2.5-induced cystitis.
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