Lin Yu-Li, Yang Yi-Chien
School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Department of Financial and Economic Law, Asia University, Taichung, Taiwan.
Metabolomics. 2025 May 7;21(3):60. doi: 10.1007/s11306-025-02261-z.
Hyperuricemia is clinically significant as the primary risk factor for gout and is strongly associated with cardiovascular diseases, hypertension, and chronic kidney disease. However, its relationship with exposure to volatile organic compounds (VOCs) remains unclear. This study explores the association between urinary VOC metabolite concentrations and the prevalence of hyperuricemia.
Data from adults aged ≥ 18 years with at least one urinary VOC measurement were obtained from the 2011-2018 National Health and Nutrition Examination Survey (NHANES). Associations between sixteen urinary VOC metabolite levels and hyperuricemia were analyzed using univariate and multivariable logistic regression, adjusted for demographic and clinical covariates.
Data of a total of 6,878 participants were analyzed. Multivariable analysis revealed that, after adjusting for relevant confounders, there were significant associations between higher levels of certain urinary VOC metabolites and hyperuricemia. Specifically, as compared to the lowest level (tertile 1), higher levels (tertile 3) of BMA (aOR = 1.38), CEMA (aOR = 1.59), CYMA (aOR = 1.41), 3HPMA (aOR = 1.34), PGA (aOR = 1.41), HPMMA (aOR = 1.48), MA (aOR = 1.33), 2HPMA (aOR = 1.34), and DHBMA (aOR = 1.35) were significantly associated with increased odds of hyperuricemia.
The findings indicate that specific urinary VOC metabolites are independently associated with an increased likelihood of hyperuricemia. These findings provide a direction for future experimental studies to investigate the underlying mechanisms and confirm causal relationships.
高尿酸血症作为痛风的主要危险因素具有临床意义,且与心血管疾病、高血压和慢性肾脏病密切相关。然而,其与挥发性有机化合物(VOCs)暴露之间的关系仍不明确。本研究探讨尿VOC代谢物浓度与高尿酸血症患病率之间的关联。
从2011 - 2018年国家健康与营养检查调查(NHANES)中获取年龄≥18岁且至少有一次尿VOC测量数据的成年人的数据。使用单变量和多变量逻辑回归分析16种尿VOC代谢物水平与高尿酸血症之间的关联,并对人口统计学和临床协变量进行调整。
共分析了6878名参与者的数据。多变量分析显示,在调整相关混杂因素后,某些尿VOC代谢物水平较高与高尿酸血症之间存在显著关联。具体而言,与最低水平(三分位数1)相比,较高水平(三分位数3)的BMA(调整后比值比[aOR]=1.38)、CEMA(aOR = 1.59)、CYMA(aOR = 1.41)、3HPMA(aOR = 1.34)、PGA(aOR = 1.41)、HPMMA(aOR = 1.48)、MA(aOR = 1.33)、2HPMA(aOR = 1.34)和DHBMA(aOR = 1.35)与高尿酸血症几率增加显著相关。
研究结果表明,特定的尿VOC代谢物与高尿酸血症可能性增加独立相关。这些发现为未来的实验研究提供了方向,以探究潜在机制并确认因果关系。