德纳姆
表观遗传学
DNA甲基化
重性抑郁障碍
胱抑素C
混淆
生物标志物
生物信息学
内科学
萧条(经济学)
肿瘤科
甲基化
医学
生物
遗传学
基因
基因表达
肾功能
宏观经济学
扁桃形结构
经济
作者
Takaki Tanifuji,Kenji Okazaki,Ikuo Otsuka,Kentaro Mouri,Tadasu Horai,Ryota Shindo,Toshiyuki Shirai,Akitoyo Hishimoto
标识
DOI:10.1016/j.psychres.2023.115103
摘要
Major depressive disorder (MDD) is a common mental illness and a major public health concern worldwide. Depression is associated with epigenetic changes that regulate gene expression, and analyzing these changes may help elucidate the pathophysiology of MDD. Genome-wide DNA methylation (DNAm) profiles can function as 'epigenetic clocks' that can help estimate biological aging. Here, we assessed biological aging in patients with MDD using various DNAm-based indicators of epigenetic aging. We used a publicly available dataset containing data obtained from the whole blood samples of MDD patients (n = 489) and controls (n = 210). We analyzed five epigenetic clocks (HorvathAge, HannumAge, SkinBloodAge, PhenoAge, and GrimAge) and DNAm-based telomere length (DNAmTL). We also investigated seven DNAm-based age-predictive plasma proteins (including cystatin C) and smoking status, which are components of GrimAge. Following adjustment for confounding factors such as age and sex, patients with MDD showed no significant difference in epigenetic clocks and DNAmTL. However, DNAm-based plasma cystatin C levels were significantly higher in patients with MDD than controls. Our findings revealed specific DNAm changes predicting plasma cystatin C levels in MDD. These findings may help elucidate the pathophysiology of MDD, leading to the development of new biomarkers and medications.
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