有重度抑郁症病史者罹患阿尔茨海默病及相关痴呆症风险的蛋白质基因组特征

Breno Satler Diniz, Zhiduo Chen, David Steffens, Richard Fortinski, Luke C Pilling, George Kuchel, Chia-Ling Kuo
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引用次数: 0

摘要

重度抑郁症(MDD)病史与阿尔茨海默病及相关痴呆症(ADRD)风险增加之间的关联机制尚未完全明了。我们利用英国生物库(UK Biobank)现有的蛋白质组和基因组数据,评估了将这两种疾病联系起来的生物学机制。在基线有 MDD 病史的参与者中(n=3,615),我们发现血浆中 NfL、GFAP、PSG1 的水平与较高风险相关(HR 分别为 1.38;1.37;1.34;所有调整后的 p 值均为 0.05),而在平均 13.7 年(SD=2.2)的随访期间,VGF、GET3 和 HPGDS 与较低的 ADRD 事件风险相关(n=150)(HR=0.73;0.71;0.66,分别;所有调整后的 p 值<0.05)。利用顺式-pQTLs 遗传工具进行的双样本孟德尔随机分析表明,较低的载脂蛋白 E 蛋白表达量和较高的 IL-10 受体亚基 B 蛋白表达量与 ADRD 事件存在因果关系。最后,我们制定了一个蛋白质组风险评分(PrRSMDD-ADRD),该评分显示出很强的鉴别力(C 统计量 = 0.84),可识别出在随访中发展为 ADRD 的 MDD 患者。除了证明与炎症相关的血浆蛋白与 MDD 患者未来的 ADRD 风险之间存在关联外,我们的研究结果还包括使用孟德尔随机化(MR)的因果关系元素,PrRSMDD-ADRD 可用于识别高危人群中罹患 ADRD 风险最高的个体。
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Proteogenomic signature of risk of Alzheimer's disease and related dementia risk in individuals with a history of major depression disorder
The mechanisms linking a history of major depressive disorder (MDD) to an increased risk of Alzheimer disease and related dementia (ADRD) are not fully understood. Using the UK Biobank available proteomic and genomic data, we evaluated the biological mechanisms linking both conditions. In participants with a history of MDD at baseline (n=3,615), we found that plasma levels of NfL, GFAP, PSG1 were associated with higher risk (HR=1.38; 1.37; 1.34, respectively; all adjusted p-values<0.05), while VGF, GET3, and HPGDS were associated with lower risk of incident ADRD (n=150) (HR=0.73; 0.71; 0.66, respectively; all adjusted p-values<0.05) during a mean follow-up of 13.7 years (SD=2.2). Two-sample Mendelian randomization analysis using cis-pQTLs genetic instruments revealed that a lower protein expression of apolipoprotein E and higher IL-10 receptor subunit B were causally linked to incident ADRD. Finally, we developed a Proteomic Risk Score (PrRSMDD-ADRD), which showed strong discriminative power (C-statistic = 0.84) to identify participants with MDD that developed ADRD upon follow-up. In addition to demonstrating an association between plasma proteins associated with inflammation and future ADRD risk in individuals with MDD, our findings include an element of causality using Mendelian Randomization (MR) and PrRSMDD-ADRD can be useful to identify individuals with the highest risk to develop ADRD in a highly vulnerable population.
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