Department of Endocrinology, Tangdu Hospital, Air Force Medical University, Xi'an, Shaanxi Province 710038, PR China.
Department of Gynecology and Obstetrics, Tangdu Hospital, Air Force Medical University, Xi'an, Shaanxi Province 710038, PR China.
Ecotoxicol Environ Saf. 2024 Nov 15;287:117260. doi: 10.1016/j.ecoenv.2024.117260. Epub 2024 Nov 5.
Studies have linked per- and polyfluoroalkyl substances (PFAS) to chronic metabolic diseases. However, the relationship between PFAS exposure and insulin resistance (IR), a key pathophysiological basis of these metabolic diseases, in nondiabetic individuals have yet to be determined.
This study analyzed data from 3909 participants (aged ≥20) from the NHANES 2003-2018 to investigate the associations between serum levels of seven PFAS and and IR indicators, including including HOMA-IR, HOMA-β, fasting insulin, QUICKI, and TyG index. Linear and logistic regression models were used, along with a restricted cubic spline to assess dose-response. Weighted quantile sum (WQS) regression and quantile g-computation (qgcomp) models were used to assess the association between mixed PFAS exposure and IR.
Linear regression revealed that elevated exposure to PFOS [β (95 % CI): 0.04 (0.02, 0.06)], PFOA [0.04 (0.01, 0.06)], and Me_PFOSA_AcOH [0.04 (0.02, 0.06)] was associated with a higher TyG index in adults. Notably, Me_PFOSA_AcOH was negatively associated with IR when assessed by HOMA-IR >2.6 [OR (95 % CI): 0.88 (0.79, 0.98)], although this was not supported by linear regression findings. When IR was defined by a TyG index >8.6, exposure to the highest quartiles of PFOS, PFOA, and Me_PFOSA_AcOH was associated with an increased risk of IR by 63 %, 42 %, and 85 %, respectively [1.63 (1.21, 2.20); 1.42 (1.06, 1.92); 1.85 (1.37, 2.50)]. PFOS, PFOA, and Me_PFOSA_AcOH demonstrated a nonlinear dose-response relationship with IR risk. The WQS and qgcomp models revealed significant positive correlations with the TyG index.
Mixed PFAS exposure in US nondiabetic adults was positively associated with IR, as indicated by the TyG index, particularly for PFOS, PFOA, and Me_PFOSA_AcOH. Further research is needed to establish causality, and reinforcing environmental risk mitigation strategies to reduce PFAS exposure is recommended.
研究表明,全氟和多氟烷基物质(PFAS)与慢性代谢性疾病有关。然而,在非糖尿病个体中,PFAS 暴露与胰岛素抵抗(IR)之间的关系,而胰岛素抵抗是这些代谢性疾病的关键病理生理基础,尚未确定。
本研究分析了来自 NHANES 2003-2018 年的 3909 名(年龄≥20 岁)参与者的数据,以调查血清中七种 PFAS 水平与胰岛素抵抗指标之间的关系,包括 HOMA-IR、HOMA-β、空腹胰岛素、QUICKI 和 TyG 指数。使用线性和逻辑回归模型以及受限立方样条来评估剂量反应。加权量和总和(WQS)回归和分位数组合(qgcomp)模型用于评估混合 PFAS 暴露与 IR 的关系。
线性回归显示,PFOS[β(95%置信区间:0.04(0.02,0.06)]、PFOA[0.04(0.01,0.06)]和 Me_PFOSA_AcOH[0.04(0.02,0.06)]暴露水平升高与成年人 TyG 指数升高相关。值得注意的是,Me_PFOSA_AcOH 与 HOMA-IR>2.6 时的 IR 呈负相关[比值比(95%置信区间):0.88(0.79,0.98)],尽管线性回归结果并未支持这一点。当 TyG 指数>8.6 时,将 PFOS、PFOA 和 Me_PFOSA_AcOH 的最高四分位数定义为 IR,分别与 63%、42%和 85%的 IR 风险增加相关[1.63(1.21,2.20);1.42(1.06,1.92);1.85(1.37,2.50)]。PFOS、PFOA 和 Me_PFOSA_AcOH 与 IR 风险呈非线性剂量反应关系。WQS 和 qgcomp 模型显示与 TyG 指数呈显著正相关。
美国非糖尿病成年人混合 PFAS 暴露与 IR 呈正相关,这与 TyG 指数有关,尤其是与 PFOS、PFOA 和 Me_PFOSA_AcOH 有关。需要进一步的研究来确定因果关系,并建议加强环境风险缓解策略以减少 PFAS 暴露。