Evidence mapPaperPMID 40531218Full record

ArticleEuropean archives of psychiatry and clinical neuroscience2025

Genetic insights into the effect of Metformin on psychiatry disorders.

Qin Zhou, Zhiqiang Du, Rongrong Lu, Yuan Shen, Ying Jiang, Haohao Zhu

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Article in European archives of psychiatry and clinical neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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5 · Who and what money

Authors and funding

6 authors.

Qin Zhou *Affiliated Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi, Jiangsu, 214151, China.
Zhiqiang Du *Affiliated Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi, Jiangsu, 214151, China.
Rongrong LuAffiliated Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi, Jiangsu, 214151, China.
Yuan ShenAffiliated Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi, Jiangsu, 214151, China.
Ying JiangAffiliated Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi, Jiangsu, 214151, China. jiangying1010@jiangnan.edu.cn.
Haohao ZhuAffiliated Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi, Jiangsu, 214151, China. zhuhh@jiangnan.edu.cn.ORCID http://orcid.org/0000-0003-2352-4854

Funding

National Natural Science Foundation of China 82104244
6 · The paper itself

Abstract

objectiveThis study employs Mendelian Randomization (MR) to explore the causal relationships between Metformin and 20 mental illnesses. The aim is to provide new pharmacological treatment bases for the treatment and intervention of mental illnesses, thereby reducing incidence rates and alleviating the disease burden.

methodsThis study uses summarized data from Genome Wide Association Studies (GWAS) to identify genetic instrumental variables (IVs) that are significantly associated with Metformin and are mutually independent. The primary method used to evaluate causal relationships is the Inverse Variance Weighted (IVW) approach, complemented by other MR methods for sensitivity analysis.

resultsMR analysis results indicate a significant negative causal relationship between genetically predicted Metformin and Neuroticism(NEU) (OR = 0.700, 95% CI: 0.505-0.970, P = 0.032) and Bipolar Disorder(BID) (OR = 0.0374, 95% CI: 0.00266-0.525, P = 0.015). Additionally, a significant positive causal relationship was found with Attention deficit hyperactivity disorder(ADHD) (OR = 15.4, 95% CI: 1.95-122, P = 0.010) and Insomnia(INS) (OR = 1.96E + 06, 95% CI: 351-1.10E + 10, P = 0.001). There were no significant causal relationships with the remaining mental illnesses (P>0.05). Sensitivity analyses indicate that the results are robust.

conclusionFrom a genetic perspective, this study finds that Metformin may reduce the risk of NEU and BID while increasing the risk of ADHD and INS. These findings not only provide theoretical support for further research into the etiological mechanisms but also offer valuable reference points for the clinical use of Metformin in treating NEU and BID, and for exercising caution in its use among patients with ADHD and INS.

Indexed as

Attention Deficit Disorder with HyperactivityBipolar DisorderHypoglycemic AgentsMental DisordersMetforminGenome-Wide Association StudyHumansMendelian Randomization AnalysisNeuroticismHypoglycemic AgentsMetforminAttention deficit hyperactivity disorderBipolar disorderInsomniaMendelian randomizationMental illnessMetforminNeuroticism

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.