Associations between blood essential metal mixture and serum uric acid: a cross-sectional study

横断面研究 尿酸 线性回归 原发性高血压 金属 医学 化学 内科学 血压 数学 统计 有机化学 病理
作者
Dongmei Wang,Yue Li,Hualin Duan,Shuting Zhang,Lingling Liu,Yajun He,Xingying Chen,Yuqi Jiang,Wei Wang,Genfeng Yu,Siyang Liu,Nanfang Yao,Yongqian Liang,Xü Lin,Lan Liu,Heng Wan,Jie Shen
出处
期刊:Frontiers in Public Health [Frontiers Media]
卷期号:11 被引量:3
标识
DOI:10.3389/fpubh.2023.1182127
摘要

Introduction Although several studies have explored the associations between single essential metals and serum uric acid (SUA), the study about the essential metal mixture and the interactions of metals for hyperuricemia remains unclear. Methods We performed a cross-sectional study to explore the association of the SUA levels with the blood essential metal mixture, including magnesium (Mg), calcium (Ca), iron (Fe), copper (Cu), zinc (Zn), manganese (Mn) in Chinese community-dwelling adults (n=1039). The multivariable linear regression, the weighted quantile sum (WQS) regression and Bayesian kernel machine regression (BKMR) were conducted to estimate the associations of blood essential metals with SUA levels and the BKMR model was also conducted to estimate the interactions of the essential metals on SUA. Results In the multivariable linear regression, the association of blood Mg, Mn, and Cu with SUA was statistically significant, both in considering multiple metals and a single metal. In WQS regression [β=13.59 (95%CI: 5.57, 21.60)] and BKMR models, a positive association was found between the mixture of essential metals in blood and SUA. Specifically, blood Mg and Cu showed a positive association with SUA, while blood Mn showed a negative association. Additionally, no interactions between individual metals on SUA were observed. Discussion In conclusion, further attention should be paid to the relationship between the mixture of essential metals in blood and SUA. However, more studies are needed to confirm these findings.
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