{"title":"Perfluorononanoic acid as a risk factor for metabolic syndrome: A case-control study","authors":"","doi":"10.1016/j.emcon.2024.100396","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>Current epidemiological results from studies linking per- and poly-fluoroalkyl substances (PFASs) to metabolic syndrome (MetS) remain inconsistent.</p></div><div><h3>Objectives</h3><p>We aim to investigate the association between serum PFASs and MetS using data from the National Health and Nutrition Examination Survey in the United States (US NHANES) 2017–2018.</p></div><div><h3>Methods</h3><p>The Bayesian kernel regression (BKMR) and weighted quantiles sum regression (WQS) models were used to assess the association of serum PFASs with MetS and calculate the weight of each substance. Stratification analysis and sensitivity analysis were used to study the effect modification and the robustness of the study results, respectively.</p></div><div><h3>Results</h3><p>All statistical models used in this study consistently indicated that serum perfluorononanoic acid (PFNA) was positively associated with an increased risk of MetS. The BKMR model revealed that serum PFASs mixtures had a combined toxic effect on MetS and its components, and serum PFNA could contribute the most to driving the overall association. Specifically, the combined exposure of PFASs was significantly associated with lipids (LP), among which serum PFNA contributed significantly to high density lipoprotein cholesterol (HDL-C), and serum perfluorodecanoate (PFDeA) was significantly positively correlated with triglyceride (TG). Besides, a nonlinear dose-response relationship between PFASs and MetS was observed. The final stratified analysis results underscore the critical importance of maintaining a healthy lifestyle, as obesity, smoking, and consume carryout/delivered foods exhibit effect modification on the association between PFASs and MetS.</p></div><div><h3>Conclusion</h3><p>Our findings point to PFNA as a risk factor for metabolic diseases, particularly affecting lipids.</p></div>","PeriodicalId":11539,"journal":{"name":"Emerging Contaminants","volume":null,"pages":null},"PeriodicalIF":5.3000,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2405665024000970/pdfft?md5=3e8c6b8d935d9e395871cd9e2b2755e7&pid=1-s2.0-S2405665024000970-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Emerging Contaminants","FirstCategoryId":"1087","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2405665024000970","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Background
Current epidemiological results from studies linking per- and poly-fluoroalkyl substances (PFASs) to metabolic syndrome (MetS) remain inconsistent.
Objectives
We aim to investigate the association between serum PFASs and MetS using data from the National Health and Nutrition Examination Survey in the United States (US NHANES) 2017–2018.
Methods
The Bayesian kernel regression (BKMR) and weighted quantiles sum regression (WQS) models were used to assess the association of serum PFASs with MetS and calculate the weight of each substance. Stratification analysis and sensitivity analysis were used to study the effect modification and the robustness of the study results, respectively.
Results
All statistical models used in this study consistently indicated that serum perfluorononanoic acid (PFNA) was positively associated with an increased risk of MetS. The BKMR model revealed that serum PFASs mixtures had a combined toxic effect on MetS and its components, and serum PFNA could contribute the most to driving the overall association. Specifically, the combined exposure of PFASs was significantly associated with lipids (LP), among which serum PFNA contributed significantly to high density lipoprotein cholesterol (HDL-C), and serum perfluorodecanoate (PFDeA) was significantly positively correlated with triglyceride (TG). Besides, a nonlinear dose-response relationship between PFASs and MetS was observed. The final stratified analysis results underscore the critical importance of maintaining a healthy lifestyle, as obesity, smoking, and consume carryout/delivered foods exhibit effect modification on the association between PFASs and MetS.
Conclusion
Our findings point to PFNA as a risk factor for metabolic diseases, particularly affecting lipids.
期刊介绍：
Emerging Contaminants is an outlet for world-leading research addressing problems associated with environmental contamination caused by emerging contaminants and their solutions. Emerging contaminants are defined as chemicals that are not currently (or have been only recently) regulated and about which there exist concerns regarding their impact on human or ecological health. Examples of emerging contaminants include disinfection by-products, pharmaceutical and personal care products, persistent organic chemicals, and mercury etc. as well as their degradation products. We encourage papers addressing science that facilitates greater understanding of the nature, extent, and impacts of the presence of emerging contaminants in the environment; technology that exploits original principles to reduce and control their environmental presence; as well as the development, implementation and efficacy of national and international policies to protect human health and the environment from emerging contaminants.
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