Systematic metabolic characterization of mental disorders reveals age‐related metabolic disturbances as potential risk factors for depression in older adults
Abstract Mental disorders are associated with dysregulated metabolism, but comprehensive investigations of their metabolic similarities and differences and their clinical relevance are few. Here, based on the plasma metabolome and lipidome of subcohort1, comprising 100 healthy participants, 55 cases...
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Wiley
2022-12-01
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| Online Access: | https://doi.org/10.1002/mco2.165 |
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| author | Yu Liu Wanyu Zhao Ying Lu Yunli Zhao Yan Zhang Miao Dai Shan Hai Ning Ge Shuting Zhang Mingjin Huang Xiaohui Liu Shuangqing Li Jirong Yue Peng Lei Biao Dong Lunzhi Dai Birong Dong |
| author_facet | Yu Liu Wanyu Zhao Ying Lu Yunli Zhao Yan Zhang Miao Dai Shan Hai Ning Ge Shuting Zhang Mingjin Huang Xiaohui Liu Shuangqing Li Jirong Yue Peng Lei Biao Dong Lunzhi Dai Birong Dong |
| author_sort | Yu Liu |
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| description | Abstract Mental disorders are associated with dysregulated metabolism, but comprehensive investigations of their metabolic similarities and differences and their clinical relevance are few. Here, based on the plasma metabolome and lipidome of subcohort1, comprising 100 healthy participants, 55 cases with anxiety, 52 persons with depression, and 41 individuals with comorbidity, which are from WCHAT, a perspective cohort study of community‐dwelling older adults aged over 50, multiple metabolites as potential risk factors of mental disorders were identified. Furthermore, participants with mental illnesses were classified into three subtypes (S1, S2, and S3) by unsupervised classification with lipidomic data. Among them, S1 showed higher triacylglycerol and lower sphingomyelin, while S2 displayed opposite features. The metabolic profile of S3 was like that of the normal group. Compared with S3, individuals in S1 and S2 had worse quality of life, and suffered more from sleep and cognitive disorders. Notably, an assessment of 6,467 individuals from the WCHAT showed an age‐related increase in the incidence of depression. Seventeen depression‐related metabolites were significantly correlated with age, which were validated in an independent subcohort2. Collectively, this work highlights the clinical relevance of metabolic perturbation in mental disorders, and age‐related metabolic disturbances may be a bridge‐linking aging and depressive. |
| format | Article |
| id | doaj-art-fa40582b39524bb1b94eb67b46cdf5d9 |
| institution | OA Journals |
| issn | 2688-2663 |
| language | English |
| publishDate | 2022-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | MedComm |
| spelling | doaj-art-fa40582b39524bb1b94eb67b46cdf5d92025-08-20T02:04:31ZengWileyMedComm2688-26632022-12-0134n/an/a10.1002/mco2.165Systematic metabolic characterization of mental disorders reveals age‐related metabolic disturbances as potential risk factors for depression in older adultsYu Liu0Wanyu Zhao1Ying Lu2Yunli Zhao3Yan Zhang4Miao Dai5Shan Hai6Ning Ge7Shuting Zhang8Mingjin Huang9Xiaohui Liu10Shuangqing Li11Jirong Yue12Peng Lei13Biao Dong14Lunzhi Dai15Birong Dong16National Clinical Research Center for Geriatrics and Department of General Practice State Key Laboratory of Biotherapy West China Hospital Sichuan University Chengdu ChinaNational Clinical Research Center for Geriatrics and Department of General Practice State Key Laboratory of Biotherapy West China Hospital Sichuan University Chengdu ChinaNational Clinical Research Center for Geriatrics and Department of General Practice State Key Laboratory of Biotherapy West China Hospital Sichuan University Chengdu ChinaDepartment of Health Research Methods, Evidence, and Impact McMaster University Hamilton Ontario CanadaNational Clinical Research Center for Geriatrics and Department of General Practice State Key Laboratory of Biotherapy West China Hospital Sichuan University Chengdu ChinaNational Clinical Research Center for Geriatrics and Department of General Practice State Key Laboratory of Biotherapy West China Hospital Sichuan University Chengdu ChinaNational Clinical Research Center for Geriatrics and Department of General Practice State Key Laboratory of Biotherapy West China Hospital Sichuan University Chengdu ChinaNational Clinical Research Center for Geriatrics and Department of General Practice State Key Laboratory of Biotherapy West China Hospital Sichuan University Chengdu ChinaDepartment of Neurology, West China Hospital Sichuan University Chengdu ChinaThe Third Hospital of Mianyang Sichuan Mental Health Center Mianyang ChinaSchool of Life Sciences Tsinghua University Beijing ChinaNational Clinical Research Center for Geriatrics and Department of General Practice State Key Laboratory of Biotherapy West China Hospital Sichuan University Chengdu ChinaNational Clinical Research Center for Geriatrics and Department of General Practice State Key Laboratory of Biotherapy West China Hospital Sichuan University Chengdu ChinaNational Clinical Research Center for Geriatrics and Department of General Practice State Key Laboratory of Biotherapy West China Hospital Sichuan University Chengdu ChinaNational Clinical Research Center for Geriatrics and Department of General Practice State Key Laboratory of Biotherapy West China Hospital Sichuan University Chengdu ChinaNational Clinical Research Center for Geriatrics and Department of General Practice State Key Laboratory of Biotherapy West China Hospital Sichuan University Chengdu ChinaNational Clinical Research Center for Geriatrics and Department of General Practice State Key Laboratory of Biotherapy West China Hospital Sichuan University Chengdu ChinaAbstract Mental disorders are associated with dysregulated metabolism, but comprehensive investigations of their metabolic similarities and differences and their clinical relevance are few. Here, based on the plasma metabolome and lipidome of subcohort1, comprising 100 healthy participants, 55 cases with anxiety, 52 persons with depression, and 41 individuals with comorbidity, which are from WCHAT, a perspective cohort study of community‐dwelling older adults aged over 50, multiple metabolites as potential risk factors of mental disorders were identified. Furthermore, participants with mental illnesses were classified into three subtypes (S1, S2, and S3) by unsupervised classification with lipidomic data. Among them, S1 showed higher triacylglycerol and lower sphingomyelin, while S2 displayed opposite features. The metabolic profile of S3 was like that of the normal group. Compared with S3, individuals in S1 and S2 had worse quality of life, and suffered more from sleep and cognitive disorders. Notably, an assessment of 6,467 individuals from the WCHAT showed an age‐related increase in the incidence of depression. Seventeen depression‐related metabolites were significantly correlated with age, which were validated in an independent subcohort2. Collectively, this work highlights the clinical relevance of metabolic perturbation in mental disorders, and age‐related metabolic disturbances may be a bridge‐linking aging and depressive.https://doi.org/10.1002/mco2.165agingmental illnessmetabolomicslipidomicsmolecular classification |
| spellingShingle | Yu Liu Wanyu Zhao Ying Lu Yunli Zhao Yan Zhang Miao Dai Shan Hai Ning Ge Shuting Zhang Mingjin Huang Xiaohui Liu Shuangqing Li Jirong Yue Peng Lei Biao Dong Lunzhi Dai Birong Dong Systematic metabolic characterization of mental disorders reveals age‐related metabolic disturbances as potential risk factors for depression in older adults MedComm aging mental illness metabolomics lipidomics molecular classification |
| title | Systematic metabolic characterization of mental disorders reveals age‐related metabolic disturbances as potential risk factors for depression in older adults |
| title_full | Systematic metabolic characterization of mental disorders reveals age‐related metabolic disturbances as potential risk factors for depression in older adults |
| title_fullStr | Systematic metabolic characterization of mental disorders reveals age‐related metabolic disturbances as potential risk factors for depression in older adults |
| title_full_unstemmed | Systematic metabolic characterization of mental disorders reveals age‐related metabolic disturbances as potential risk factors for depression in older adults |
| title_short | Systematic metabolic characterization of mental disorders reveals age‐related metabolic disturbances as potential risk factors for depression in older adults |
| title_sort | systematic metabolic characterization of mental disorders reveals age related metabolic disturbances as potential risk factors for depression in older adults |
| topic | aging mental illness metabolomics lipidomics molecular classification |
| url | https://doi.org/10.1002/mco2.165 |
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