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长期暴露于阿米替林相关潜在毒性的研究:来自基因组学的证据。

Investigation of potential toxicity associated with long-term amitriptyline exposure: Evidence from genomics.

作者信息

Liu Jiachen, Li Zihan, Deng Zebin, Wang Yinhuai, Deng Fei

机构信息

Department of Urology, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China; The Center of Systems Biology and Data science, School of Basic Medical Science, Central South University, Changsha, Hunan, China; Xiangya Hospital, Central South University, Changsha, Hunan, China.

Xiangya School of medicine, Central South University, Changsha, Hunan, China.

出版信息

Ecotoxicol Environ Saf. 2025 Sep 1;302:118587. doi: 10.1016/j.ecoenv.2025.118587. Epub 2025 Jun 30.

Abstract

The increasing environmental detection of antidepressants such as amitriptyline (AT) has raised toxicological concerns, yet its long-term safety profile remains poorly characterized. We applied an integrative strategy combining phenome-wide association studies (PheWAS), Mendelian randomization (MR), network toxicology, and molecular docking to systematically evaluate potential adverse effects of AT. PheWAS analyses were performed across 784 phenotypes using UK Biobank and FinnGen (R10). Among these, loss-of-function mutations in AT targets SLC6A2 and SLC6A4 showed significant associations after multiple-testing correction with pancreatic cancer and erythematous conditions, respectively. Complementary MR analyses using GTEx v8 tissue-specific cis-expression quantitative trait loci (eQTLs) and multiple autoimmune and inflammatory genome-wide association study (GWAS) datasets demonstrated that elevated expression of SLC6A2 and SLC6A4 conferred protective effects against systemic lupus erythematosus, psoriasis, rosacea, and erythema nodosum across tissues, supporting the causal relevance of these pathways. Network toxicology based on protein-protein interactions (STRING v11.5, Cytoscape v3.10.1) and functional enrichment (ClusterProfiler v4.10.0) highlighted immunoinflammatory, neuroendocrine, and ion channel regulatory mechanisms potentially involved in AT-induced toxicity. Finally, molecular docking simulations (AutoDock Vina v1.2.7, AlphaFold structures) provided structural evidence for AT interactions with key targets including TRPV1. Collectively, these findings suggest that pharmacological inhibition or environmental accumulation of AT may contribute to inflammatory skin reactions and pancreatic tumorigenesis through multiple converging molecular pathways.

摘要

环境中诸如阿米替林(AT)等抗抑郁药的检测日益增加,引发了毒理学方面的担忧,但其长期安全性仍未得到充分描述。我们采用了一种综合策略,结合全表型关联研究(PheWAS)、孟德尔随机化(MR)、网络毒理学和分子对接,系统评估AT的潜在不良反应。使用英国生物银行和芬兰基因库(R10)对784种表型进行了PheWAS分析。其中,AT靶点SLC6A2和SLC6A4的功能丧失突变在经过多重检验校正后,分别与胰腺癌和红斑性疾病显著相关。使用GTEx v8组织特异性顺式表达定量性状位点(eQTL)以及多个自身免疫和炎症全基因组关联研究(GWAS)数据集进行的补充MR分析表明,SLC6A2和SLC6A4的表达升高在各组织中对系统性红斑狼疮、银屑病、酒渣鼻和结节性红斑具有保护作用,支持了这些途径的因果相关性。基于蛋白质 - 蛋白质相互作用(STRING v11.5,Cytoscape v3.10.1)和功能富集(ClusterProfiler v4.10.0)的网络毒理学突出了可能参与AT诱导毒性的免疫炎症、神经内分泌和离子通道调节机制。最后,分子对接模拟(AutoDock Vina v1.2.7,AlphaFold结构)为AT与包括TRPV1在内的关键靶点的相互作用提供了结构证据。总体而言,这些发现表明,AT的药理抑制或环境蓄积可能通过多种汇聚的分子途径导致炎症性皮肤反应和胰腺肿瘤发生。

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