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Joint effects of per- and polyfluoroalkyl substance alternatives and heavy metals on renal health: A community-based population study in China.
Liang, Li-Xia; Dong, Pengxin; Zhou, Yang; Zhang, Lin; Qian, Zhengmin; Geiger, Sarah Dee; Bingheim, Elizabeth; Tang, Xiaojiang; Wu, Yan; Lv, Jiayun; Lin, Li-Zi; Zeeshan, Mohammed; Zeng, Xiao-Wen; Feng, Wenru; Dong, Guang-Hui.
Afiliación
  • Liang LX; Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
  • Dong P; Nursing College, Guangxi Medical University, Nanning 530021, China.
  • Zhou Y; State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Environmental Protection, Guangzhou, 510655, China.
  • Zhang L; Department of Environmental Health, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China.
  • Qian Z; Department of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, Saint Louis, MO 63104, USA.
  • Geiger SD; Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Champaign, IL 61820, USA.
  • Bingheim E; Department of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, Saint Louis, MO 63104, USA.
  • Tang X; Guangzhou JES+US Pharmaceutical Technology Co., Ltd., Guangzhou 510530, China.
  • Wu Y; Department of Environmental Health, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China.
  • Lv J; Department of Environmental Health, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China.
  • Lin LZ; Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
  • Zeeshan M; Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
  • Zeng XW; Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China. Electronic address: zxw63@mail.sysu.edu.cn.
  • Feng W; Department of Environmental Health, Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China. Electronic address: gzcdc_fengwr@gz.gov.cn.
  • Dong GH; Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China. Electronic address: donggh5@mail.sysu.edu.cn.
Environ Res ; 219: 115057, 2023 02 15.
Article en En | MEDLINE | ID: mdl-36529335
ABSTRACT

BACKGROUND:

Previous studies have indicated that chlorinated polyfluorinated ether sulfonic acids (Cl-PFESAs), when used as an alternative to per- and polyfluoroalkyl substances (PFASs), result in kidney toxicity. However, their co-exposure with heavy metals, has not yet been described.

OBJECTIVES:

To explore the joint effects of Cl-PFESAs and heavy metal exposure on renal health in Chinese adults, and identify specific pollutants driving the associations.

METHODS:

Our sample consists of 1312 adults from a cross-sectional survey of general communities in Guangzhou, China. We measured Cl-PFESAs, legacy PFASs (perfluorooctanoic acid [PFOA] and perfluorooctane sulfonated [PFOS]), and heavy metals (arsenic, cadmium, and lead). The relationship between single pollutant and glomerular filtration rate (eGFR) and the odds ratio (OR) of chronic kidney disease (CKD) was studied using Generalized additive models (GAMs). Bayesian Kernel Machine Regression (BKMR) models were applied to assess joint effects of Cl-PFESAs and heavy metals. Additionally, we conducted a sex-specific analysis to determine the modification effect of this variable.

RESULTS:

In single pollutant models, CI-PFESAs, PFOA, PFOS and arsenic were negatively associated with eGFR. Additionally, PFOA and heavy metals were positively correlated with the OR of CKD. For example, the estimated change with 95% confidence intervals (CI) of eGFR at from the highest quantile of 62 Cl-PFESA versus the lowest quantile was -5.65 ng/mL (95% CI -8.21, -3.10). Sex played a role in modifying the association between 82 Cl-PFESA, PFOS and eGFR. In BKMR models, pollutant mixtures had a negative joint association with eGFR and a positive joint effect on CKD, especially in women. Arsenic appeared to be the primary contributing pollutant.

CONCLUSION:

We provide epidemiological evidence that Cl-PFESAs independently and jointly with heavy metals impaired kidney health. More population-based human and animal studies are needed to confirm our results.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Arsénico / Ácidos Alcanesulfónicos / Contaminantes Ambientales / Insuficiencia Renal Crónica / Fluorocarburos Tipo de estudio: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies País/Región como asunto: Asia Idioma: En Revista: Environ Res Año: 2023 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Arsénico / Ácidos Alcanesulfónicos / Contaminantes Ambientales / Insuficiencia Renal Crónica / Fluorocarburos Tipo de estudio: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies País/Región como asunto: Asia Idioma: En Revista: Environ Res Año: 2023 Tipo del documento: Article