{"title":"代谢综合征增加自杀企图的风险:来自基于人群的队列和基因组分析的证据。","authors":"Zhengyang Zhao, Min Xie, Shiwan Tao, Qiuyue Lv, Jiashuo Zhang, Jia Cai, Yunjia Liu, Yunqi Huang, Siyi Liu, Yulu Wu, Qiang Wang","doi":"10.1038/s41398-025-03575-1","DOIUrl":null,"url":null,"abstract":"<p><p>Suicide is a critical global public health issue, where traditional risk assessment tools have limited predictive value, warranting the identification of novel risk assessment factors. Metabolic syndrome (MetS) has been linked to poor cognition and brain volumes, which may lead to abnormal behaviors. The relationship between MetS and suicide risk has been less studied. This study aims to explore the association of MetS on suicide attempt leveraging data from the UK Biobank and genomic analyses. We first explored the cross-sectional and longitudinal relationships between MetS and suicide attempt, while also exploring the mediating role of cognitive performance. Second, using summary data from the largest genome-wide association studies, the genetic associations between MetS, suicide attempt, and cognitive performance were examined. Of 380,557 participants tracked over 13 years, we identified 1847 new cases of suicide attempt. The presence of MetS was found to significantly increase the risk of suicide attempt (HR = 1.250, 95% CI = 1.134-1.379). In participants lacking traditional suicide risk factors, such as being female, younger, and having higher educational attainment, MetS still presented a greater risk in predicting future suicide attempts. Additionally, MetS and suicide attempt exhibited significant genetic correlation (rg = 0.080 ± 0.026), and Mendelian randomization analysis suggested MetS had a significant negative effect on suicide attempt (β = 0.156, 95% CI = 0.077-0.235). These findings highlight a significant association between MetS and increased suicide risk. Addressing MetS may offer an avenue for improved suicide management.</p>","PeriodicalId":23278,"journal":{"name":"Translational Psychiatry","volume":"15 1","pages":"365"},"PeriodicalIF":6.2000,"publicationDate":"2025-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12501300/pdf/","citationCount":"0","resultStr":"{\"title\":\"Metabolic syndrome increases the risk of suicide attempt: evidence from a population-based cohort and genomic analysis.\",\"authors\":\"Zhengyang Zhao, Min Xie, Shiwan Tao, Qiuyue Lv, Jiashuo Zhang, Jia Cai, Yunjia Liu, Yunqi Huang, Siyi Liu, Yulu Wu, Qiang Wang\",\"doi\":\"10.1038/s41398-025-03575-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Suicide is a critical global public health issue, where traditional risk assessment tools have limited predictive value, warranting the identification of novel risk assessment factors. 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In participants lacking traditional suicide risk factors, such as being female, younger, and having higher educational attainment, MetS still presented a greater risk in predicting future suicide attempts. Additionally, MetS and suicide attempt exhibited significant genetic correlation (rg = 0.080 ± 0.026), and Mendelian randomization analysis suggested MetS had a significant negative effect on suicide attempt (β = 0.156, 95% CI = 0.077-0.235). These findings highlight a significant association between MetS and increased suicide risk. 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引用次数: 0
摘要
自杀是一个重要的全球公共卫生问题,传统的风险评估工具的预测价值有限,需要确定新的风险评估因素。代谢综合征(MetS)与认知能力低下和脑容量下降有关,这可能导致异常行为。MetS和自杀风险之间的关系研究较少。本研究旨在利用英国生物银行和基因组分析的数据,探讨MetS与自杀企图的关系。我们首先探索了met与自杀企图之间的横断面和纵向关系,同时也探索了认知表现的中介作用。其次,使用最大的全基因组关联研究的汇总数据,检查MetS,自杀企图和认知表现之间的遗传关联。在对380,557名参与者长达13年的跟踪调查中,我们发现了1847例新的自杀企图。发现met的存在显著增加自杀企图的风险(HR = 1.250, 95% CI = 1.134-1.379)。在缺乏传统自杀风险因素的参与者中,如女性、年轻、受教育程度较高,met在预测未来自杀企图方面仍然表现出更大的风险。此外,MetS与自杀企图具有显著的遗传相关性(rg = 0.080±0.026),孟德尔随机化分析显示MetS对自杀企图具有显著的负向影响(β = 0.156, 95% CI = 0.077 ~ 0.235)。这些发现强调了MetS与自杀风险增加之间的重要联系。解决大都会可能为改善自杀管理提供一条途径。
Metabolic syndrome increases the risk of suicide attempt: evidence from a population-based cohort and genomic analysis.
Suicide is a critical global public health issue, where traditional risk assessment tools have limited predictive value, warranting the identification of novel risk assessment factors. Metabolic syndrome (MetS) has been linked to poor cognition and brain volumes, which may lead to abnormal behaviors. The relationship between MetS and suicide risk has been less studied. This study aims to explore the association of MetS on suicide attempt leveraging data from the UK Biobank and genomic analyses. We first explored the cross-sectional and longitudinal relationships between MetS and suicide attempt, while also exploring the mediating role of cognitive performance. Second, using summary data from the largest genome-wide association studies, the genetic associations between MetS, suicide attempt, and cognitive performance were examined. Of 380,557 participants tracked over 13 years, we identified 1847 new cases of suicide attempt. The presence of MetS was found to significantly increase the risk of suicide attempt (HR = 1.250, 95% CI = 1.134-1.379). In participants lacking traditional suicide risk factors, such as being female, younger, and having higher educational attainment, MetS still presented a greater risk in predicting future suicide attempts. Additionally, MetS and suicide attempt exhibited significant genetic correlation (rg = 0.080 ± 0.026), and Mendelian randomization analysis suggested MetS had a significant negative effect on suicide attempt (β = 0.156, 95% CI = 0.077-0.235). These findings highlight a significant association between MetS and increased suicide risk. Addressing MetS may offer an avenue for improved suicide management.
期刊介绍:
Psychiatry has suffered tremendously by the limited translational pipeline. Nobel laureate Julius Axelrod''s discovery in 1961 of monoamine reuptake by pre-synaptic neurons still forms the basis of contemporary antidepressant treatment. There is a grievous gap between the explosion of knowledge in neuroscience and conceptually novel treatments for our patients. Translational Psychiatry bridges this gap by fostering and highlighting the pathway from discovery to clinical applications, healthcare and global health. We view translation broadly as the full spectrum of work that marks the pathway from discovery to global health, inclusive. The steps of translation that are within the scope of Translational Psychiatry include (i) fundamental discovery, (ii) bench to bedside, (iii) bedside to clinical applications (clinical trials), (iv) translation to policy and health care guidelines, (v) assessment of health policy and usage, and (vi) global health. All areas of medical research, including — but not restricted to — molecular biology, genetics, pharmacology, imaging and epidemiology are welcome as they contribute to enhance the field of translational psychiatry.