Mental Health Center and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.
Med-X Center for Informatics, Sichuan University, Chengdu, China.
JAMA Psychiatry. 2024 Nov 1;81(11):1118-1129. doi: 10.1001/jamapsychiatry.2024.2185.
Individuals with psychiatric disorders have been reported to have elevated levels of inflammatory biomarkers, and prospective evidence is limited regarding the association between inflammatory biomarkers and subsequent psychiatric disorders risk.
To assess the associations between inflammation biomarkers and subsequent psychiatric disorders risk.
DESIGN, SETTING, AND PARTICIPANTS: This was a prospective cohort study including individuals from the Swedish Apolipoprotein Mortality Risk (AMORIS) cohort, with no prior psychiatric diagnoses and having a measurement of at least 1 inflammatory biomarker. Data from the UK Biobank were used for validation. Longitudinal trajectories of studied biomarkers were visualized before diagnosis of psychiatric disorders in the AMORIS cohort via a nested case-control study. In addition, genetic correlation and mendelian randomization (MR) analyses were conducted to determine the genetic overlap and causality of the studied associations using publicly available GWAS summary statistics.
Inflammatory biomarkers, eg, leukocytes, haptoglobin, immunoglobulin G (IgG), C-reactive protein (CRP), platelets, or albumin.
Any psychiatric disorder or specific psychiatric disorder (ie, depression, anxiety, and stress-related disorders) was identified through the International Statistical Classification of Diseases, Eighth, Ninth, and Tenth Revision codes.
Among the 585 279 individuals (mean [SD] age, 45.5 [14.9] years; 306 784 male [52.4%]) in the AMORIS cohort, individuals with a higher than median level of leukocytes (hazard ratio [HR], 1.11; 95% CI, 1.09-1.14), haptoglobin (HR, 1.13; 95% CI, 1.12-1.14), or CRP (HR, 1.02; 95% CI, 1.00-1.04) had an elevated associated risk of any psychiatric disorders. In contrast, we found an inverse association for IgG level (HR, 0.92; 95% CI, 0.89-0.94). The estimates were comparable for depression, anxiety, and stress-related disorders, specifically, and these results were largely validated in the UK Biobank (n = 485 620). Analyses of trajectories revealed that individuals with psychiatric disorders had higher levels of leukocytes and haptoglobin and a lower level of IgG than their controls up to 30 years before the diagnosis. The MR analysis suggested a possible causal relationship between leukocytes and depression.
In this cohort study, inflammatory biomarkers including leukocytes, haptoglobin, CRP, and IgG were associated with a subsequent risk of psychiatric disorders, and thus might be used for high-risk population identification. The possible causal link between leukocytes and depression supports the crucial role of inflammation in the development of psychiatric disorders.
据报道,患有精神障碍的个体炎症生物标志物水平升高,关于炎症生物标志物与随后的精神障碍风险之间的关联,前瞻性证据有限。
评估炎症生物标志物与随后的精神障碍风险之间的关联。
设计、地点和参与者:这是一项前瞻性队列研究,纳入了来自瑞典载脂蛋白死亡率风险(AMORIS)队列的个体,这些个体无先前的精神诊断,并至少有 1 项炎症生物标志物的测量值。使用英国生物库的数据进行验证。通过嵌套病例对照研究,在 AMORIS 队列中诊断出精神障碍之前,可视化研究生物标志物的纵向轨迹。此外,使用公开的 GWAS 汇总统计数据进行遗传相关性和孟德尔随机化(MR)分析,以确定所研究关联的遗传重叠和因果关系。
炎症生物标志物,例如白细胞、触珠蛋白、免疫球蛋白 G(IgG)、C 反应蛋白(CRP)、血小板或白蛋白。
任何精神障碍或特定精神障碍(即抑郁症、焦虑症和应激相关障碍)通过国际疾病分类、第八、第九和第十次修订版的代码进行识别。
在 AMORIS 队列中的 585279 名个体(平均[SD]年龄,45.5[14.9]岁;306784 名男性[52.4%])中,白细胞(HR,1.11;95%CI,1.09-1.14)、触珠蛋白(HR,1.13;95%CI,1.12-1.14)或 CRP(HR,1.02;95%CI,1.00-1.04)水平高于中位数的个体发生任何精神障碍的风险升高。相比之下,我们发现 IgG 水平呈负相关(HR,0.92;95%CI,0.89-0.94)。这些结果在英国生物库(n=485620)中也具有可比性,特别是对于抑郁症、焦虑症和应激相关障碍。轨迹分析表明,在诊断前长达 30 年,患有精神障碍的个体的白细胞和触珠蛋白水平较高,而 IgG 水平较低。MR 分析表明白细胞与抑郁症之间可能存在因果关系。
在这项队列研究中,包括白细胞、触珠蛋白、CRP 和 IgG 在内的炎症生物标志物与随后的精神障碍风险相关,因此可能用于高危人群的识别。白细胞与抑郁症之间的可能因果关系支持炎症在精神障碍发展中的关键作用。