Hartwig Fernando Pires, Borges Maria Carolina, Horta Bernardo Lessa, Bowden Jack, Davey Smith George
Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil.
Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, England.
JAMA Psychiatry. 2017 Dec 1;74(12):1226-1233. doi: 10.1001/jamapsychiatry.2017.3191.
Positive associations between inflammatory biomarkers and risk of psychiatric disorders, including schizophrenia, have been reported in observational studies. However, conventional observational studies are prone to bias, such as reverse causation and residual confounding, thus limiting our understanding of the effect (if any) of inflammatory biomarkers on schizophrenia risk.
To evaluate whether inflammatory biomarkers have an effect on the risk of developing schizophrenia.
DESIGN, SETTING, AND PARTICIPANTS: Two-sample mendelian randomization study using genetic variants associated with inflammatory biomarkers as instrumental variables to improve inference. Summary association results from large consortia of candidate gene or genome-wide association studies, including several epidemiologic studies with different designs, were used. Gene-inflammatory biomarker associations were estimated in pooled samples ranging from 1645 to more than 80 000 individuals, while gene-schizophrenia associations were estimated in more than 30 000 cases and more than 45 000 ancestry-matched controls. In most studies included in the consortia, participants were of European ancestry, and the prevalence of men was approximately 50%. All studies were conducted in adults, with a wide age range (18 to 80 years).
Genetically elevated circulating levels of C-reactive protein (CRP), interleukin-1 receptor antagonist (IL-1Ra), and soluble interleukin-6 receptor (sIL-6R).
Risk of developing schizophrenia. Individuals with schizophrenia or schizoaffective disorders were included as cases. Given that many studies contributed to the analyses, different diagnostic procedures were used.
The pooled odds ratio estimate using 18 CRP genetic instruments was 0.90 (random effects 95% CI, 0.84-0.97; P = .005) per 2-fold increment in CRP levels; consistent results were obtained using different mendelian randomization methods and a more conservative set of instruments. The odds ratio for sIL-6R was 1.06 (95% CI, 1.01-1.12; P = .02) per 2-fold increment. Estimates for IL-1Ra were inconsistent among instruments, and pooled estimates were imprecise and centered on the null.
Under mendelian randomization assumptions, our findings suggest a protective effect of CRP and a risk-increasing effect of sIL-6R (potentially mediated at least in part by CRP) on schizophrenia risk. It is possible that such effects are a result of increased susceptibility to early life infection.
观察性研究报告了炎症生物标志物与包括精神分裂症在内的精神疾病风险之间存在正相关。然而,传统的观察性研究容易出现偏差,如反向因果关系和残余混杂因素,从而限制了我们对炎症生物标志物对精神分裂症风险的影响(如果有的话)的理解。
评估炎症生物标志物是否对精神分裂症的发病风险有影响。
设计、设置和参与者:采用与炎症生物标志物相关的基因变异作为工具变量的两样本孟德尔随机化研究,以改善推断。使用了来自候选基因或全基因组关联研究大型联盟的汇总关联结果,包括几项不同设计的流行病学研究。在样本量从1645人到超过80000人的汇总样本中估计基因与炎症生物标志物的关联,而在超过30000例病例和超过45000例血统匹配的对照中估计基因与精神分裂症的关联。在联盟纳入的大多数研究中,参与者为欧洲血统,男性患病率约为50%。所有研究均在成年人中进行,年龄范围较广(18至80岁)。
遗传上循环C反应蛋白(CRP)、白细胞介素-1受体拮抗剂(IL-1Ra)和可溶性白细胞介素-6受体(sIL-6R)水平升高。
精神分裂症的发病风险。将患有精神分裂症或分裂情感性障碍的个体纳入病例组。鉴于许多研究为分析做出了贡献,使用了不同的诊断程序。
使用18种CRP基因工具的汇总比值比估计值为每CRP水平增加2倍,比值比为0.90(随机效应95%CI,0.84 - 0.97;P = 0.005);使用不同的孟德尔随机化方法和一组更保守的工具也得到了一致的结果。每sIL-6R水平增加2倍,比值比为1.06(95%CI,1.01 - 1.12;P = 0.02)。IL-1Ra的估计值在不同工具之间不一致,汇总估计值不精确且以无效值为中心。
在孟德尔随机化假设下,我们的研究结果表明CRP对精神分裂症风险有保护作用,而sIL-6R有增加风险的作用(可能至少部分由CRP介导)。这些影响可能是由于对早期生活感染易感性增加所致。