Huang Qiong, Nan Wenbin, Li Siqi, He Baimei, Cai Xu, Peng Zhenyu, Wu Chenlu
Department of Metabolism and Endocrinology, Second Xiangya Hospital, Central South University, Changsha, 410011, China.
National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology, Department of Metabolism and Endocrinology, The Second Xiangya Hospital, Ministry of Education, Central South University, Changsha, 410011, China.
Sci Rep. 2025 Apr 6;15(1):11782. doi: 10.1038/s41598-025-96423-7.
Organophosphate esters (OPEs) exposure has potentially harmful effects on human health. However, the evidence between OPEs and hyperuricemia is insufficient. We aimed to assess the association between OPEs metabolites and the prevalence of hyperuricemia. Multivariable logistic regression, weighted quantile regression (WQS) model, and Bayesian kernel machine regression (BKMR) models were used to investigate the association of OPEs metabolites with the risk of hyperuricemia. Mediation analysis was conducted to assess whether inflammation mediated the effects of OPEs on the prevalence of hyperuricemia. The multivariable logistics regression indicated that bis (1,3-dichloro-2-propyl) phosphate (BDCPP) and bis-2-chloroethyl phosphate (BCEP) were positively correlated with the risk of hyperuricemia. In WQS and BKMR analyses, OPEs mixtures presented a positive association with the risk of hyperuricemia, with BDCPP being the primary contributor. C-reactive protein (CRP) and monocytes were found to mediate the association between BDCPP and the risk of hyperuricemia prevalence, with 8.46% and 3.97% of the mediated proportion, respectively. Our study revealed that OPEs mixtures were positively correlated with the prevalence of hyperuricemia, with BDCPP identified as the most significant contributor. Inflammation was a potential mechanism mediating the effect of BDCPP exposure on the risk of hyperuricemia.
有机磷酸酯(OPEs)暴露对人体健康具有潜在危害。然而,OPEs与高尿酸血症之间的证据尚不充分。我们旨在评估OPEs代谢物与高尿酸血症患病率之间的关联。采用多变量逻辑回归、加权分位数回归(WQS)模型和贝叶斯核机器回归(BKMR)模型来研究OPEs代谢物与高尿酸血症风险的关联。进行中介分析以评估炎症是否介导了OPEs对高尿酸血症患病率的影响。多变量逻辑回归表明,双(1,3 - 二氯 - 2 - 丙基)磷酸酯(BDCPP)和双 - 2 - 氯乙基磷酸酯(BCEP)与高尿酸血症风险呈正相关。在WQS和BKMR分析中,OPEs混合物与高尿酸血症风险呈正相关,其中BDCPP是主要贡献者。发现C反应蛋白(CRP)和单核细胞介导了BDCPP与高尿酸血症患病率风险之间的关联,介导比例分别为8.46%和3.97%。我们的研究表明,OPEs混合物与高尿酸血症患病率呈正相关,其中BDCPP被确定为最主要的贡献因素。炎症是介导BDCPP暴露对高尿酸血症风险影响的潜在机制。