Joint Effect of Multiple Metals on Hyperuricemia and Their Interaction with Obesity: A Community-Based Cross-Sectional Study in China

Author:

Wu Shan1,Huang Huimin1,Ji Guiyuan2,Li Lvrong1,Xing Xiaohui1,Dong Ming3,Ma Anping3,Li Jiajie1,Wei Yuan1,Zhao Dongwei1,Ma Wenjun4,Bai Yan12,Wu Banghua3,Liu Tao45ORCID,Chen Qingsong16

Affiliation:

1. Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, School of Public Health, Guangdong Pharmaceutical University, Guangzhou 510310, China

2. Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China

3. Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510399, China

4. Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510630, China

5. Disease Control and Prevention Institute of Jinan University, Jinan University, Guangzhou 510632, China

6. NMPA Key Laboratory for Technology Research and Evaluation of Pharmacovigilance, Guangdong Pharmaceutical University, 283 Jianghai Avenue, Guangzhou 510300, China

Abstract

Metal exposures have been inconsistently related to the risk of hyperuricemia, and limited research has investigated the interaction between obesity and metals in hyperuricemia. To explore their associations and interaction effects, 3300 participants were enrolled from 11 districts within 1 province in China, and the blood concentrations of 13 metals were measured to assess internal exposure. Multivariable logistic regression, restricted cubic spline (RCS), Bayesian kernel machine regression (BKMR), and interaction analysis were applied in the single- and multi-metal models. In single-metal models, five metals (V, Cr, Mn, Co, and Zn) were positively associated with hyperuricemia in males, but V was negatively associated with hyperuricemia in females. Following the multi-metal logistic regression, the multivariate-adjusted odds ratios (95% confidence intervals) of hyperuricemia were 1.7 (1.18, 2.45) for Cr and 1.76 (1.26, 2.46) for Co in males, and 0.68 (0.47, 0.99) for V in females. For V and Co, RCS models revealed wavy and inverted V-shaped negative associations with female hyperuricemia risk. The BKMR models showed a significant joint effect of multiple metals on hyperuricemia when the concentrations of five metals were at or above their 55th percentile compared to their median values, and V, Cr, Mn, and Co were major contributors to the combined effect. A potential interaction between Cr and obesity and Zn and obesity in increasing the risk of hyperuricemia was observed. Our results suggest that higher levels of Cr and Co may increase male hyperuricemia risk, while higher levels of V may decrease female hyperuricemia risk. Therefore, the management of metal exposure in the environment and diet should be improved to prevent hyperuricemia.

Funder

the Project for Innovation and Strong School of Department of Education of Guangdong Province

National Science Foundation of Guangdong Province Colleges and Universities

GuangDong Basic and Applied Basic Research Foundation

Publisher

MDPI AG

Subject

Food Science,Nutrition and Dietetics

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