{"title":"抗抑郁药是重度抑郁症对 2 型糖尿病的因果效应。","authors":"","doi":"10.1016/j.pnpbp.2024.111164","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Patients with major depressive disorder (MDD) face an elevated risk of type 2 diabetes (T2D). However, the contribution of the disease itself versus the side effects of antidepressants to this increased risk remains unclear.</div></div><div><h3>Objective</h3><div>This study aimed to investigate the overall and independent effects of MDD and exposure to antidepressants on T2D risk.</div></div><div><h3>Methods</h3><div>Summary genome-wide association study datasets were utilized for the Mendelian randomization (MR) and multivariable MR (MVMR) analyses, including ones for MDD (<em>N</em> = 500,199), antidepressants (<em>N</em> = 175,161), and T2D (<em>N</em> = 933,970). Bayesian colocalization analysis was used to reveal shared genetic variation between MDD, antidepressants, and T2D.</div></div><div><h3>Results</h3><div>We found that both MDD (OR: 1.15, CI: 1.03–1.30, <em>P</em> = 0.016) and antidepressants (OR: 1.37, CI: 1.22–1.53, <em>P</em> = 2.75E-08) have overall causal effects on T2D. While T2D was associated with the risk of antidepressant use (OR: 1.08, CI: 1.06–1.11, <em>P</em> = 8.80E-10), but not with the risk of MDD (OR: 1.00, CI: 0.98–1.01, <em>P</em> = 0.661). Our MVMR analysis showed that the use of antidepressants is associated with higher risks of T2D (OR: 1.21, CI: 1.07–1.37, <em>P</em> = 7.19E-04), while MDD is not linked to the risk of T2D (OR: 1.01, CI: 0.86–1.18, <em>P</em> = 0.799). Colocalization analysis identified two shared genetic loci between antidepressants and T2D.</div></div><div><h3>Conclusions</h3><div>The elevated T2D risk in MDD patients is chiefly caused by antidepressant use. These findings emphasize the importance of considering the impact of antidepressants on metabolic health in individuals with MDD.</div></div>","PeriodicalId":54549,"journal":{"name":"Progress in Neuro-Psychopharmacology & Biological Psychiatry","volume":null,"pages":null},"PeriodicalIF":5.3000,"publicationDate":"2024-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Antidepressants account for the causal effect of major depressive disorder on type 2 diabetes\",\"authors\":\"\",\"doi\":\"10.1016/j.pnpbp.2024.111164\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Patients with major depressive disorder (MDD) face an elevated risk of type 2 diabetes (T2D). However, the contribution of the disease itself versus the side effects of antidepressants to this increased risk remains unclear.</div></div><div><h3>Objective</h3><div>This study aimed to investigate the overall and independent effects of MDD and exposure to antidepressants on T2D risk.</div></div><div><h3>Methods</h3><div>Summary genome-wide association study datasets were utilized for the Mendelian randomization (MR) and multivariable MR (MVMR) analyses, including ones for MDD (<em>N</em> = 500,199), antidepressants (<em>N</em> = 175,161), and T2D (<em>N</em> = 933,970). Bayesian colocalization analysis was used to reveal shared genetic variation between MDD, antidepressants, and T2D.</div></div><div><h3>Results</h3><div>We found that both MDD (OR: 1.15, CI: 1.03–1.30, <em>P</em> = 0.016) and antidepressants (OR: 1.37, CI: 1.22–1.53, <em>P</em> = 2.75E-08) have overall causal effects on T2D. While T2D was associated with the risk of antidepressant use (OR: 1.08, CI: 1.06–1.11, <em>P</em> = 8.80E-10), but not with the risk of MDD (OR: 1.00, CI: 0.98–1.01, <em>P</em> = 0.661). Our MVMR analysis showed that the use of antidepressants is associated with higher risks of T2D (OR: 1.21, CI: 1.07–1.37, <em>P</em> = 7.19E-04), while MDD is not linked to the risk of T2D (OR: 1.01, CI: 0.86–1.18, <em>P</em> = 0.799). Colocalization analysis identified two shared genetic loci between antidepressants and T2D.</div></div><div><h3>Conclusions</h3><div>The elevated T2D risk in MDD patients is chiefly caused by antidepressant use. These findings emphasize the importance of considering the impact of antidepressants on metabolic health in individuals with MDD.</div></div>\",\"PeriodicalId\":54549,\"journal\":{\"name\":\"Progress in Neuro-Psychopharmacology & Biological Psychiatry\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":5.3000,\"publicationDate\":\"2024-10-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Progress in Neuro-Psychopharmacology & Biological Psychiatry\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S027858462400232X\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Progress in Neuro-Psychopharmacology & Biological Psychiatry","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S027858462400232X","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Antidepressants account for the causal effect of major depressive disorder on type 2 diabetes
Background
Patients with major depressive disorder (MDD) face an elevated risk of type 2 diabetes (T2D). However, the contribution of the disease itself versus the side effects of antidepressants to this increased risk remains unclear.
Objective
This study aimed to investigate the overall and independent effects of MDD and exposure to antidepressants on T2D risk.
Methods
Summary genome-wide association study datasets were utilized for the Mendelian randomization (MR) and multivariable MR (MVMR) analyses, including ones for MDD (N = 500,199), antidepressants (N = 175,161), and T2D (N = 933,970). Bayesian colocalization analysis was used to reveal shared genetic variation between MDD, antidepressants, and T2D.
Results
We found that both MDD (OR: 1.15, CI: 1.03–1.30, P = 0.016) and antidepressants (OR: 1.37, CI: 1.22–1.53, P = 2.75E-08) have overall causal effects on T2D. While T2D was associated with the risk of antidepressant use (OR: 1.08, CI: 1.06–1.11, P = 8.80E-10), but not with the risk of MDD (OR: 1.00, CI: 0.98–1.01, P = 0.661). Our MVMR analysis showed that the use of antidepressants is associated with higher risks of T2D (OR: 1.21, CI: 1.07–1.37, P = 7.19E-04), while MDD is not linked to the risk of T2D (OR: 1.01, CI: 0.86–1.18, P = 0.799). Colocalization analysis identified two shared genetic loci between antidepressants and T2D.
Conclusions
The elevated T2D risk in MDD patients is chiefly caused by antidepressant use. These findings emphasize the importance of considering the impact of antidepressants on metabolic health in individuals with MDD.
期刊介绍:
Progress in Neuro-Psychopharmacology & Biological Psychiatry is an international and multidisciplinary journal which aims to ensure the rapid publication of authoritative reviews and research papers dealing with experimental and clinical aspects of neuro-psychopharmacology and biological psychiatry. Issues of the journal are regularly devoted wholly in or in part to a topical subject.
Progress in Neuro-Psychopharmacology & Biological Psychiatry does not publish work on the actions of biological extracts unless the pharmacological active molecular substrate and/or specific receptor binding properties of the extract compounds are elucidated.