Luo Qianqian, Wen Zheng, Li Yuanfan, Chen Zefeng, Long Xinyang, Bai Yulan, Huang Shengzhu, Yan Yunkun, Lin Rui, Mo Zengnan
Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning 530021, Guangxi, People's Republic of China.
Guangxi Key Laboratory for Genomic and Personalized Medicine, Nanning 530021, Guangxi, People's Republic of China.
Clin Epidemiol. 2020 Feb 26;12:223-233. doi: 10.2147/CLEP.S236885. eCollection 2020.
Although increasing lines of evidence showed associations between serum uric acid (UA) levels and schizophrenia, the causality and the direction of the associations remain uncertain. Thus, we aimed to assess whether the relationships between serum UA levels and schizophrenia are causal and to determine the direction of the association.
Two-sample bidirectional Mendelian randomization (MR) analyses and various sensitivity analyses were performed utilizing the summary data from genome-wide association studies within the Global Urate Genetics Consortium and the Psychiatric Genomics Consortium. Secondary MR analyses in both directions were conducted within summary data using genetic risk scores (GRSs) as instrumental variables.
Three MR methods provided no causal relationship between serum UA and schizophrenia. Furthermore, GRS approach showed similar results in the three MR methods after adjustment for heterogeneity. By contrast, inverse variance weighted method, weighted median and GRS approach suggested a causal effect of schizophrenia risk on serum UA after adjustment for heterogeneity (per 10-symmetric percentage increase in schizophrenia risk, beta: -0.039, standard error (SE): 0.013, = 0.003; beta: -0.036, SE: 0.018, = 0.043; beta: -0.039, SE: 0.013, = 0.002; respectively). Moreover, in both directions' analyses, the heterogeneity and sensitivity tests suggested no strong evidence of bias due to pleiotropy.
Schizophrenia may causally affect serum UA levels, whereas the causal role of serum UA concentrations in schizophrenia was not supported by our MR analyses. These findings suggest that UA may be a useful potential biomarker for monitoring treatment or diagnosis of schizophrenia rather than a therapeutic target for schizophrenia.
尽管越来越多的证据表明血清尿酸(UA)水平与精神分裂症之间存在关联,但这种关联的因果关系和方向仍不确定。因此,我们旨在评估血清UA水平与精神分裂症之间的关系是否具有因果性,并确定这种关联的方向。
利用全球尿酸遗传学联盟和精神疾病基因组学联盟全基因组关联研究的汇总数据,进行了两样本双向孟德尔随机化(MR)分析及各种敏感性分析。在汇总数据中,使用遗传风险评分(GRS)作为工具变量,在两个方向上进行了二次MR分析。
三种MR方法均未显示血清UA与精神分裂症之间存在因果关系。此外,在调整异质性后,GRS方法在三种MR方法中显示出相似的结果。相比之下,在调整异质性后,逆方差加权法、加权中位数法和GRS方法表明精神分裂症风险对血清UA有因果效应(精神分裂症风险每增加10个对称百分比,β:-0.039,标准误(SE):0.013,P = 0.003;β:-0.036,SE:0.018,P = 0.043;β:-0.039,SE:0.013,P = 0.002;分别)。此外,在两个方向的分析中,异质性和敏感性检验均未显示因多效性导致偏倚的有力证据。
精神分裂症可能因果性地影响血清UA水平,而我们的MR分析不支持血清UA浓度在精神分裂症中的因果作用。这些发现表明,UA可能是监测精神分裂症治疗或诊断的有用潜在生物标志物,而非精神分裂症的治疗靶点。