Cargando…

Association of Metals and Metalloids With Urinary Albumin/Creatinine Ratio: Evidence From a Cross-Sectional Study Among Elderly in Beijing

BACKGROUND: Environmental exposure to toxic elements contributes to the pathogenesis of chronic kidney disease (CKD). Few studies focus on the association of urinary metals and metalloids concentrations with the urinary albumin/creatinine ratio (UACR) among elderly, especially in areas and seasons w...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Ang, Zhao, Jiaxin, Liu, Liu, Mei, Yayuan, Zhou, Quan, Zhao, Meiduo, Xu, Jing, Ge, Xiaoyu, Xu, Qun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9008350/
https://www.ncbi.nlm.nih.gov/pubmed/35433578
http://dx.doi.org/10.3389/fpubh.2022.832079
_version_ 1784687033217712128
author Li, Ang
Zhao, Jiaxin
Liu, Liu
Mei, Yayuan
Zhou, Quan
Zhao, Meiduo
Xu, Jing
Ge, Xiaoyu
Xu, Qun
author_facet Li, Ang
Zhao, Jiaxin
Liu, Liu
Mei, Yayuan
Zhou, Quan
Zhao, Meiduo
Xu, Jing
Ge, Xiaoyu
Xu, Qun
author_sort Li, Ang
collection PubMed
description BACKGROUND: Environmental exposure to toxic elements contributes to the pathogenesis of chronic kidney disease (CKD). Few studies focus on the association of urinary metals and metalloids concentrations with the urinary albumin/creatinine ratio (UACR) among elderly, especially in areas and seasons with severe air pollution. OBJECTIVE: We aimed to evaluate the associations of urinary metals and metalloids concentration with UACR, which is an early and sensitive indicator of CKD. METHOD: We conducted a cross-sectional study among 275 elderly people in Beijing from November to December 2016, which has experienced the most severe air pollution in China. We measured 15 urinary metals and metalloids concentration and estimated their association with UACR using a generalized linear model (GLM). Bayesian kernel machine regression (BKMR) and quantile g-computation (qgcomp) models were also conducted to evaluate the combined effect of metal and metalloid mixtures concentration. RESULTS: Of the 275 elderly people included in the analysis, we found that higher urinary Cu concentration was positively associated with UACR using GLM (β = 0.36, 95% CI: 0.25, 0.46). Using the BKMR model, we found that the change in UACR was positively associated with a change in urinary Cu concentration from its 25th to 75th percentile value with all other metals and metalloids concentration fixed at their 25th, 50th, or 75th percentile levels. Urinary Cu concentration had the most significant positive contribution (59.15%) in the qgcomp model. Our finding was largely robust in three mixture modeling approaches: GLM, qgcomp, and BKMR. CONCLUSION: This finding suggests that urinary Cu concentration was strongly positively associated with UACR. Further analyses in cohort studies are required to corroborate this finding.
format Online
Article
Text
id pubmed-9008350
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-90083502022-04-15 Association of Metals and Metalloids With Urinary Albumin/Creatinine Ratio: Evidence From a Cross-Sectional Study Among Elderly in Beijing Li, Ang Zhao, Jiaxin Liu, Liu Mei, Yayuan Zhou, Quan Zhao, Meiduo Xu, Jing Ge, Xiaoyu Xu, Qun Front Public Health Public Health BACKGROUND: Environmental exposure to toxic elements contributes to the pathogenesis of chronic kidney disease (CKD). Few studies focus on the association of urinary metals and metalloids concentrations with the urinary albumin/creatinine ratio (UACR) among elderly, especially in areas and seasons with severe air pollution. OBJECTIVE: We aimed to evaluate the associations of urinary metals and metalloids concentration with UACR, which is an early and sensitive indicator of CKD. METHOD: We conducted a cross-sectional study among 275 elderly people in Beijing from November to December 2016, which has experienced the most severe air pollution in China. We measured 15 urinary metals and metalloids concentration and estimated their association with UACR using a generalized linear model (GLM). Bayesian kernel machine regression (BKMR) and quantile g-computation (qgcomp) models were also conducted to evaluate the combined effect of metal and metalloid mixtures concentration. RESULTS: Of the 275 elderly people included in the analysis, we found that higher urinary Cu concentration was positively associated with UACR using GLM (β = 0.36, 95% CI: 0.25, 0.46). Using the BKMR model, we found that the change in UACR was positively associated with a change in urinary Cu concentration from its 25th to 75th percentile value with all other metals and metalloids concentration fixed at their 25th, 50th, or 75th percentile levels. Urinary Cu concentration had the most significant positive contribution (59.15%) in the qgcomp model. Our finding was largely robust in three mixture modeling approaches: GLM, qgcomp, and BKMR. CONCLUSION: This finding suggests that urinary Cu concentration was strongly positively associated with UACR. Further analyses in cohort studies are required to corroborate this finding. Frontiers Media S.A. 2022-03-31 /pmc/articles/PMC9008350/ /pubmed/35433578 http://dx.doi.org/10.3389/fpubh.2022.832079 Text en Copyright © 2022 Li, Zhao, Liu, Mei, Zhou, Zhao, Xu, Ge and Xu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Li, Ang
Zhao, Jiaxin
Liu, Liu
Mei, Yayuan
Zhou, Quan
Zhao, Meiduo
Xu, Jing
Ge, Xiaoyu
Xu, Qun
Association of Metals and Metalloids With Urinary Albumin/Creatinine Ratio: Evidence From a Cross-Sectional Study Among Elderly in Beijing
title Association of Metals and Metalloids With Urinary Albumin/Creatinine Ratio: Evidence From a Cross-Sectional Study Among Elderly in Beijing
title_full Association of Metals and Metalloids With Urinary Albumin/Creatinine Ratio: Evidence From a Cross-Sectional Study Among Elderly in Beijing
title_fullStr Association of Metals and Metalloids With Urinary Albumin/Creatinine Ratio: Evidence From a Cross-Sectional Study Among Elderly in Beijing
title_full_unstemmed Association of Metals and Metalloids With Urinary Albumin/Creatinine Ratio: Evidence From a Cross-Sectional Study Among Elderly in Beijing
title_short Association of Metals and Metalloids With Urinary Albumin/Creatinine Ratio: Evidence From a Cross-Sectional Study Among Elderly in Beijing
title_sort association of metals and metalloids with urinary albumin/creatinine ratio: evidence from a cross-sectional study among elderly in beijing
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9008350/
https://www.ncbi.nlm.nih.gov/pubmed/35433578
http://dx.doi.org/10.3389/fpubh.2022.832079
work_keys_str_mv AT liang associationofmetalsandmetalloidswithurinaryalbumincreatinineratioevidencefromacrosssectionalstudyamongelderlyinbeijing
AT zhaojiaxin associationofmetalsandmetalloidswithurinaryalbumincreatinineratioevidencefromacrosssectionalstudyamongelderlyinbeijing
AT liuliu associationofmetalsandmetalloidswithurinaryalbumincreatinineratioevidencefromacrosssectionalstudyamongelderlyinbeijing
AT meiyayuan associationofmetalsandmetalloidswithurinaryalbumincreatinineratioevidencefromacrosssectionalstudyamongelderlyinbeijing
AT zhouquan associationofmetalsandmetalloidswithurinaryalbumincreatinineratioevidencefromacrosssectionalstudyamongelderlyinbeijing
AT zhaomeiduo associationofmetalsandmetalloidswithurinaryalbumincreatinineratioevidencefromacrosssectionalstudyamongelderlyinbeijing
AT xujing associationofmetalsandmetalloidswithurinaryalbumincreatinineratioevidencefromacrosssectionalstudyamongelderlyinbeijing
AT gexiaoyu associationofmetalsandmetalloidswithurinaryalbumincreatinineratioevidencefromacrosssectionalstudyamongelderlyinbeijing
AT xuqun associationofmetalsandmetalloidswithurinaryalbumincreatinineratioevidencefromacrosssectionalstudyamongelderlyinbeijing