| Title: | Association and potential biological mechanisms of mental disorders and their comorbidities with aging |
| Lead Institution: | Jilin University |
| Principal investigator: |
Application 452018
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About
Mental disorders, as complex conditions influenced by multiple interrelated factors, not only cause substantial distress to individuals but also impose a significant burden on society. Individuals with mental disorders often experience an increased risk of various chronic physical diseases, which further exacerbates their physical and psychological burden. Aging is a normal biological process commonly associated with declines in the function of multiple organs and systems. Although previous research has preliminarily indicated that mental disorders and their comorbidities may accelerate the aging process, these studies have often been limited in scope, and the potential intrinsic connections among these factors remain unclear. This study aims to further elucidate the associations between mental disorders and their comorbidities with aging through a large cohort study, Mendelian randomization analysis, and polygenic risk scores, and to investigate the underlying disease mechanisms. The project will span three years, with the timeline approximately divided as follows: (1) First year: We will involve topic selection based on research objectives, data cleaning, data organization, and preliminary analysis; (2) Second year: We will focus on validation using additional databases, manuscript writing, and submission; We will also try to explore relevant interesting topics based on preliminary findings; (3) Third year: We will be dedicated to manuscript revisions and reorganization of database content. This research will enhance understanding and awareness of aging in individuals with mental disorders, assisting policymakers in developing targeted measures for the elderly population, thereby contributing to the goal of global healthy aging. Additionally, by further exploring the causes of accelerated aging, this study will provide new insights and directions for future research on aging, optimize public health policies, and reduce the societal healthcare burden.1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 17290 | Accelerated Biological Aging and Schizophrenia Risk: Evidence from the UK Biobank | Zhouyang Sun (+5) | 2025 | Schizophrenia Bulletin |
Enabling scientific discoveries that improve human health