Cheng Bolun, Bai Yunfeng, Liu Li, Meng Peilin, Cheng Shiqiang, Yang Xuena, Pan Chuyu, Wei Wenming, Liu Huan, Jia Yumeng, Wen Yan, Zhang Feng
Key Laboratory of Trace Elements and Endemic Diseases (Xi'an Jiaotong University), National Health and Family Planning Commission, 710061, Xi'an, China.
Key Laboratory of Environment and Genes Related to Diseases (Xi'an Jiaotong University), Ministry of Education, 710061, Xi'an, China.
Commun Med (Lond). 2024 Mar 7;4(1):40. doi: 10.1038/s43856-024-00467-1.
The identification of suitable biomarkers is of crucial clinical importance for the early diagnosis of treatment-resistant schizophrenia (TRS). This study aims to comprehensively analyze the association between TRS and blood and urine biomarkers.
Candidate TRS-related single nucleotide polymorphisms (SNPs) were obtained from a recent genome-wide association study. The UK Biobank cohort, comprising 376,807 subjects with blood and urine biomarker testing data, was used to calculate the polygenic risk score (PRS) for TRS. Pearson correlation analyses were performed to evaluate the correlation between TRS PRS and each of the biomarkers, using calculated TRS PRS as the instrumental variables. Bidirectional two-sample Mendelian randomization (MR) was used to assess potential causal associations between candidate biomarkers with TRS.
Here we identify a significant association between TRS PRS and phosphate (r = 0.007, P = 1.96 × 10). Sex subgroup analyses identify seven and three candidate biomarkers associated with TRS PRS in male and female participants, respectively. For example, total protein and phosphate for males, creatinine and phosphate for females. Bidirectional two-sample MR analyses indicate that TRS is negatively associated with cholesterol (estimate = -0.363, P = 0.008). Conversely, TRS is positively associated with total protein (estimate = 0.137, P = 0.027), mean corpuscular volume (estimate = 0.032, P = 2.25 × 10), and mean corpuscular hemoglobin (estimate = 0.018, P = 0.007).
Our findings provide insights into the roles of blood and urine biomarkers in the early detection and treatment of TRS.
确定合适的生物标志物对于难治性精神分裂症(TRS)的早期诊断具有至关重要的临床意义。本研究旨在全面分析TRS与血液和尿液生物标志物之间的关联。
从最近的全基因组关联研究中获取与TRS相关的候选单核苷酸多态性(SNP)。使用包含376,807名有血液和尿液生物标志物检测数据的受试者的英国生物银行队列来计算TRS的多基因风险评分(PRS)。以计算出的TRS PRS作为工具变量,进行Pearson相关性分析,以评估TRS PRS与每种生物标志物之间的相关性。采用双向两样本孟德尔随机化(MR)来评估候选生物标志物与TRS之间的潜在因果关联。
我们发现TRS PRS与磷酸盐之间存在显著关联(r = 0.007,P = 1.96×10)。性别亚组分析分别在男性和女性参与者中确定了7种和3种与TRS PRS相关的候选生物标志物。例如,男性为总蛋白和磷酸盐,女性为肌酐和磷酸盐。双向两样本MR分析表明,TRS与胆固醇呈负相关(估计值 = -0.363,P = 0.008)。相反,TRS与总蛋白呈正相关(估计值 = 0.137,P = 0.027)、平均红细胞体积呈正相关(估计值 = 0.032,P = 2.25×10)以及平均红细胞血红蛋白呈正相关(估计值 = 0.018,P = 0.007)。
我们的研究结果为血液和尿液生物标志物在TRS的早期检测和治疗中的作用提供了见解。