利用孟德尔随机法和真实世界药物警戒数据库,全面评估常见药物与精神疾病之间的关联。

IF 9.7 1区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL
EBioMedicine Pub Date : 2024-09-01 Epub Date: 2024-08-26 DOI:10.1016/j.ebiom.2024.105314
Zhuohui Chen, Xiang Wang, Ziwei Teng, Jing Huang, Jianzhong Mo, Chunrun Qu, Yinghua Wu, Zhixiong Liu, Fangkun Liu, Kun Xia
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引用次数: 0

摘要

背景:治疗慢性疾病的药物可导致短期的神经精神症状,但其对大脑结构和精神状况的长期影响仍不清楚:治疗慢性疾病的药物可导致短期的神经精神症状,但其对大脑结构和精神状况的长期影响仍不清楚:我们全面分析了 FDA 不良事件报告系统数据库,并对六类常见药物、477 种脑成像衍生表型(IDP)和八种精神疾病进行了药物靶向孟德尔随机化(MR)研究。从血液、大脑和其他目标组织中的表达定量性状位点(eQTLs)、血液中的蛋白质定量性状位点(pQTLs)以及血红蛋白和胆固醇的全基因组关联研究(GWAS)中提取了遗传工具。大脑 IDPs、精神疾病和肠道微生物组的汇总统计数据来自 BIG40、精神疾病基因组学联盟和 MiBioGen。采用两步MR和中介分析法,从119个肠道微生物群属中筛选出药物-IDP效应的可能中介因子,并确定其中介比例:在19类药物中,有6类药物与较高的精神疾病不良事件风险相关,而在FAERS分析中,有11类药物与较高的胃肠道不良事件风险相关。我们发现了10种药物与精神障碍的关联、202种药物与IDP的关联、16种药物与微生物群的关联以及4种药物与微生物群-IDP的因果联系。例如,PPARG 激活介导的 HbA1c 降低会导致躁郁症(BD)II 的风险升高。基因代GLP-1R激动剂与右侧海马CA3头和左侧楔前皮层面积的增加显著相关,而这两个部位在以往的研究中都被证明与认知相关:常见药物可能会影响大脑结构和精神障碍的风险。尤其是口服药物可能会通过影响肠道微生物群来产生部分影响。这项研究呼吁人们更加关注药物对神经精神系统的不良影响,并鼓励药物的再利用:国家自然科学基金(批准号:82330035、82130043、82172685和82001223)、湖南省国家自然科学基金(批准号:2021SK1010)和长沙市杰出青年科学基金(批准号:kq2209006)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A comprehensive assessment of the association between common drugs and psychiatric disorders using Mendelian randomization and real-world pharmacovigilance database.

Background: Medications prescribed for chronic diseases can lead to short-term neuropsychiatric symptoms, but their long-term effects on brain structures and psychiatric conditions remain unclear.

Methods: We comprehensively analyzed the FDA Adverse Event Reporting System database and conducted drug target Mendelian Randomization (MR) studies on six categories of common drugs, 477 brain imaging-derived phenotypes (IDPs) and eight psychiatric disorders. Genetic instruments were extracted from expression quantitative trait loci (eQTLs) in blood, brain, and other target tissues, protein quantitative trait loci (pQTLs) in blood, and genome-wide association studies (GWAS) of hemoglobin and cholesterol. Summary statistics for brain IDPs, psychiatric disorders, and gut microbiome were obtained from the BIG40, Psychiatric Genomics Consortium, and MiBioGen. A two-step MR and mediation analysis were employed to screen possible mediators of drug-IDP effects from 119 gut microbiota genera and identify their mediation proportions.

Findings: Among 19 drug classes, six drugs were found to be associated with higher risks of psychiatric adverse events, while 11 drugs were associated with higher risks of gastrointestinal adverse events in the FAERS analysis. We identified ten drug-psychiatric disorder associations, 202 drug-IDP associations, 16 drug-microbiota associations, and four drug-microbiota-IDP causal links. For example, PPARG activation mediated HbA1c reduction caused a higher risk of bipolar disorder (BD) II. Genetically proxied GLP-1R agonists were significantly associated with an increase in the volume of the CA3-head of the right hippocampus and the area of the left precuneus cortex, both of which have been shown to correlate with cognition in previous studies.

Interpretation: Common drugs may affect brain structure and risk of psychiatric disorder. Oral medications in particular may exert some of these effects by influencing gut microbiota. This study calls for greater attention to be paid to the neuropsychiatric adverse effects of drugs and encourages drug repurposing.

Funding: National Natural Science Foundation of China (grant No. 82330035, 82130043, 82172685, and 82001223), National Natural Science Foundation of Hunan Province (grant No. 2021SK1010), and the Science Foundation for Distinguished Young Scholars of Changsha (grant No. kq2209006).

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来源期刊
EBioMedicine
EBioMedicine Biochemistry, Genetics and Molecular Biology-General Biochemistry,Genetics and Molecular Biology
CiteScore
17.70
自引率
0.90%
发文量
579
审稿时长
5 weeks
期刊介绍: eBioMedicine is a comprehensive biomedical research journal that covers a wide range of studies that are relevant to human health. Our focus is on original research that explores the fundamental factors influencing human health and disease, including the discovery of new therapeutic targets and treatments, the identification of biomarkers and diagnostic tools, and the investigation and modification of disease pathways and mechanisms. We welcome studies from any biomedical discipline that contribute to our understanding of disease and aim to improve human health.
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