生命银行
精神分裂症(面向对象编程)
流行病学
医学
精神科
心理干预
遗传流行病学
老年学
生物年龄
梅德林
成功老龄化
健康衰老
精神病
细胞老化
心理学
维生素D与神经学
临床心理学
萧条(经济学)
长寿
疾病
共病
痴呆
作者
Zhouyang Sun,Xinru Guo,Songyu Wu,Tingyi Jia,Changgui Kou,Wei Bai
标识
DOI:10.1093/schbul/sbaf210
摘要
BACKGROUND AND HYPOTHESIS: Schizophrenia is a chronic psychiatric disorder with increased morbidity and mortality. Emerging evidence links biological aging to schizophrenia, but large-scale population-based studies integrating mechanistic and causal analyses remain limited. STUDY DESIGN: Leveraging UK Biobank data, we examined the association between two biological aging markers-Klemera-Doubal Method Age (KDMAge) and PhenoAge acceleration-with schizophrenia risk using cross-sectional and prospective analyses. Mediation analyses assessed inflammatory, metabolic, vitamin/mineral, and endocrine pathways. Bidirectional Mendelian randomization (MR) was applied to explore causality. STUDY RESULTS: Accelerated biological aging was significantly associated with increased schizophrenia risk in cross-sectional (KDMAge acceleration: odds ratio [OR] = 1.27, 95% CI: 1.06-1.53, P = .010; PhenoAge acceleration: OR = 1.87, 95% CI: 1.49-2.33, P < .001) and prospective analyses (KDMAge acceleration: hazard ratio [HR] = 1.53, 95% CI: 1.19-1.97, P = .001; PhenoAge acceleration: HR = 2.77, 95% CI: 2.07-3.71, P < .001). Stratified analyses indicated effect modification by BMI and socioeconomic status. Mediation analyses identified inflammatory markers, particularly neutrophil count and vitamin D as partial mediators. Forward MR supported a potential causal effect of genetically predicted KDMAge acceleration on schizophrenia risk (OR IVW = 1.48, P = .029), whereas reverse MR findings were less robust. CONCLUSIONS: These findings provide epidemiological and genetic evidence that accelerated biological aging is associated with schizophrenia. Interventions targeting chronic inflammation, vitamin D supplementation, and lifestyle adjustments to improve metabolic health may slow biological aging and reduce schizophrenia risk.
科研通智能强力驱动
Strongly Powered by AbleSci AI