ArticleFrontiers in public health2023
Associations between blood essential metal mixture and serum uric acid: a cross-sectional study.
Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 9 citations in OpenAlex.
- Associations of Dietary Magnesium Intake with All-Cause and Cause-Specific Mortality Among Individuals with Gout and Hyperuricemia.Biological trace element research · 2025Article
- Estimation of Hair Toxic and Essential Trace Element and Mineral Profiles of Patients with Chronic Gout.Biological trace element research · 2025Article
- A cross-sectional study of the association between blood metal mixtures exposure and hyperuricemia.Clinical rheumatology · 2024Article
- Sex- and age-specific associations of serum essential elements with diabetes among the Chinese adults: a community-based cross-sectional study.Nutrition & metabolism · 2024Article
- Uric acid mediates the relationship between mixed heavy metal exposure and renal function in older adult people.Frontiers in public health · 2024Article
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Authors and funding
17 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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