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Association between Per and Polyfluoroalkyl Substance and Abdominal fat Distribution:A Trait Spectrum Exposure Pattern and Structure-Based Investigation

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Biomedical and Environmental Sciences 2025年第1期38卷 3-14页

作者： Zhi Li Shilin Shan Chenyang Song Chengzhe Tao Hong Qian Qin Yuan Yan Zhang Qiaoqiao Xu Yufeng Qin Yun Fan Chuncheng Lu State Key Laboratory of Reproductive Medicine Center for Global HealthSchool of Public HealthNanjing Medical UniversityNanjing 211166JiangsuChina Key Laboratory of Modern Toxicology of Ministry of Education School of Public HealthNanjing Medical UniversityNanjing 211166JiangsuChina Department of Public Health Kangda College of Nanjing Medical UniversityLianyungang 222000JiangsuChina Department of Microbes and Infection School of Public HealthNanjing Medical UniversityNanjing 211166JiangsuChina

Objective To investigate the associations between eight serum per-and polyfluoroalkyl substances(PFASs)and regional fat depots,we analyzed the data from the National Health and Nutrition Examination Survey(NHANES)2011-2018 *** Multiple linear regression models were developed to explore the associations between serum PFAS concentrations and six fat compositions along with a fat distribution score created by summing the concentrations of the six fat *** associations between structurally grouped PFASs and fat distribution were assessed,and a prediction model was developed to estimate the ability of PFAS exposure to predict obesity *** Among females aged 39-59 years,trunk fat mass was positively associated with perfluorooctane sulfonate(PFOS).Higher concentrations of PFOS,perfluorohexane sulfonate(PFHxS),perfluorodecanoate(PFDeA),perfluorononanoate(PFNA),and n-perfluorooctanoate(n-PFOA)were linked to greater visceral adipose tissue in this *** men,exposure to total perfluoroalkane sulfonates(PFSAs)and long-chain PFSAs was associated with reductions in abdominal fat,while higher abdominal fat in women aged 39-59 years was associated with short-chain *** prediction model demonstrated high accuracy,with an area under the curve(AUC)of 0.9925 for predicting obesity *** PFAS exposure is associated with regional fat distribution,with varying effects based on age,sex,and PFAS *** findings highlight the potential role of PFAS exposure in influencing fat depots and obesity risk,with significant implications for public *** prediction model provides a highly accurate tool for assessing obesity risk related to PFAS exposure.

关键词： Per-and polyfluoroalkyl substances regional fat depots Obesity Structure-based NHANES

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