Circulating Blood-Based Proteins in Psychopathology and Cognition

孟德尔随机化 邦费罗尼校正 精神分裂症(面向对象编程) 重性抑郁障碍 双相情感障碍 精神病理学 医学 生物信息学 认知 临床心理学 内科学 肿瘤科 心理学 精神科 生物 遗传学 基因型 遗传变异 基因 统计 数学
作者
Upasana Bhattacharyya,Jibin John,Max Lam,Jonah Fisher,Benjamin B. Sun,Denis Baird,Stephen Burgess,Chia‐Yen Chen,Todd Lencz
出处
期刊:JAMA Psychiatry [American Medical Association]
卷期号:82 (5): 481-481 被引量:9
标识
DOI:10.1001/jamapsychiatry.2025.0033
摘要

Importance: Peripheral (blood-based) biomarkers for psychiatric illness could benefit diagnosis and treatment, but research to date has typically been low throughput, and traditional case-control studies are subject to potential confounds of treatment and other exposures. Large-scale 2-sample mendelian randomization (MR) can examine the potentially causal impact of circulating proteins on neuropsychiatric phenotypes without these confounds. Objective: To identify circulating proteins associated with risk for schizophrenia (SCZ), bipolar disorder (BD), and major depressive disorder (MDD) as well as cognitive task performance (CTP). Design, Setting, and Participants: In a 2-sample MR design, significant proteomic quantitative trait loci were used as candidate instruments, obtained from 2 large-scale plasma proteomics datasets: the UK Biobank Pharma Proteomics Project (2923 proteins per 34 557 UK individuals) and deCODE Genetics (4719 proteins per 35 559 Icelandic individuals). Data analysis was performed from November 2023 to November 2024. Exposure: Genetic influence on circulating levels of proteins in plasma. Main Outcomes and Measures: Outcome measures were summary statistics drawn from recent large-scale genome-wide association studies for SCZ (67 323 cases and 93 456 controls), BD (40 463 cases and 313 436 controls), MDD (166 773 cases and 507 679 controls), and CTP (215 333 individuals). MR was carried out for each phenotype, and proteins that showed statistically significant (Bonferroni-corrected P < .05) associations from MR analysis were used for pathway, protein-protein interaction, drug target enrichment, and potential druggability analysis for each outcome phenotype separately. Results: MR analysis revealed 113 Bonferroni-corrected associations (46 novel) involving 91 proteins across the 4 outcome phenotypes. Immune-related proteins, such as interleukins and complement factors, showed pleiotropic effects across multiple outcome phenotypes. Drug target enrichment analysis provided support for repurposing of anti-inflammatory agents for SCZ, amantadine for BD, retinoic acid for MDD, and duloxetine for CTP. Conclusions and Relevance: Identifying potentially causal effects of circulating proteins on neuropsychiatric phenotypes suggests potential biomarkers and offers insights for the development of innovative therapeutic strategies. The study also reveals pleiotropic effects of many proteins across different phenotypes, indicating shared etiology among serious psychiatric conditions and cognition.
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