Zhou Linquan, Wu Dingwei, Chen Huina, Han Jiaxin, Liu Wenge
Fujian Medical University Union Hospital, Fuzhou, 350000, China.
The School of Health, Fujian Medical University, Fuzhou, 350000, China.
Sci Rep. 2024 Dec 28;14(1):31025. doi: 10.1038/s41598-024-82202-3.
Rheumatoid arthritis (RA) is closely associated with environmental factors. Volatile organic compounds (VOCs) are a common environment pollutant which can induce autoimmune diseases. However, studies on the relationship between VOCs and RA are still unclear. This study aimed to evaluate the potential associations between exposure to urinary VOCs and RA risk among adults. Data was analyzed from the National Health and Nutrition Examination Survey (NHANES) 2011-2018. We used logistics regression, restricted cubic splines (RCS) model, (Weighted Quantile Sum) WQS, qgcomp and (Bayesian Kernel Machine Regression) BKMR models to assess single and mixed relationships between VOCs and RA. A total of 3390 participants and 15 urinary VOCs included in this study. The results showed that AMCC, CEMC, DHBC, MB3C, PHGA, and PMMC were significantly higher than in RA compare to the participants without RA. Logistic regression model reveals that AAMC, AMCC, CEMC, CYMC, DHBC, HPMC, and MB3C were positive correlation with RA which age between 20 and 50. Then the WQS, qgcomp, and BKMR model suggest a positive association between mixed urinary VOCs and RA, with WQS and qgcomp model highlighting CYMC and CEMC as the major contributors in age 20-59 group. In BKMR analysis, the overall effects of co-exposure displayed CYMC, CEMC, and AMCC has significant positive with RA in age 20-59. Furthermore, RCS regression proved the positive linear relationship between CYMC, AMCC, and CEMC with RA. According to our study results, we demonstrated that exposure to certain urinary VOCs (CYMC, CEMC, and AMCC) is associated with an increased prevalence of RA among adults that age 20-59.
类风湿关节炎(RA)与环境因素密切相关。挥发性有机化合物(VOCs)是一种常见的环境污染物,可诱发自身免疫性疾病。然而,关于VOCs与RA之间关系的研究仍不明确。本研究旨在评估成年人接触尿液VOCs与RA风险之间的潜在关联。分析了2011 - 2018年美国国家健康与营养检查调查(NHANES)的数据。我们使用逻辑回归、受限立方样条(RCS)模型、加权分位数和(WQS)、qgcomp以及贝叶斯核机器回归(BKMR)模型来评估VOCs与RA之间的单一和混合关系。本研究共纳入3390名参与者和15种尿液VOCs。结果显示,与无RA的参与者相比,RA患者的AMCC、CEMC、DHBC、MB3C、PHGA和PMMC显著更高。逻辑回归模型显示,AAMC、AMCC、CEMC、CYMC、DHBC、HPMC和MB3C与年龄在20至50岁之间的RA呈正相关。然后,WQS、qgcomp和BKMR模型表明尿液VOCs混合物与RA之间存在正相关,WQS和qgcomp模型强调CYMC和CEMC是20 - 59岁年龄组的主要贡献因素。在BKMR分析中,共同暴露的总体效应显示,CYMC、CEMC和AMCC与20 - 59岁的RA呈显著正相关。此外,RCS回归证明CYMC、AMCC和CEMC与RA之间存在正线性关系。根据我们的研究结果,我们证明了接触某些尿液VOCs(CYMC、CEMC和AMCC)与20 - 59岁成年人中RA患病率的增加有关。