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暴露于空气污染与中年女性的脂肪因子有关:全国妇女健康研究。

Exposure to air pollution is associated with adipokines in midlife women: The Study of Women's Health Across the Nation.

机构信息

Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA.

Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA.

出版信息

Sci Total Environ. 2024 Dec 15;956:177334. doi: 10.1016/j.scitotenv.2024.177334. Epub 2024 Nov 5.

Abstract

This study examined the associations between ambient air pollution exposure, including fine particulate matter (PM), nitrogen dioxide (NO), and ozone (O), with serum levels of high molecular weight (HMW) adiponectin, leptin, and soluble leptin receptors (sOB-R) in midlife women. The analysis included 1551 participants from the Study of Women's Health Across the Nation (median age = 52.3 years) with adipokine data from 2002 to 2003. Annual air pollution exposures were assigned by linking residential addresses with high-resolution machine learning models at a 1-km resolution. Multivariable linear regression and Bayesian kernel machine regression (BKMR) were used to evaluate the associations for individual pollutants and pollutant mixtures. After adjusting for confounders in linear regression models, an interquartile range increase in PM (2.5 μg/m) was associated with a 4.6 % lower HMW adiponectin level (95 % CI: -8.8 %, -0.3 %). Exposure to air pollutant mixtures showed negative associations with HMW adiponectin and positive associations with leptin levels in BKMR models. These findings suggest that exposures to PM, NO, and O are associated with adverse levels of adipokines, which may contribute to obesity-related outcomes. Further research is needed to confirm these findings and explore the underlying biological mechanisms.

摘要

这项研究调查了环境空气污染暴露(包括细颗粒物 (PM)、二氧化氮 (NO) 和臭氧 (O)) 与中年女性血清中高分子量 (HMW) 脂联素、瘦素和可溶性瘦素受体 (sOB-R) 水平之间的关联。该分析包括来自全国妇女健康研究(中位年龄为 52.3 岁)的 1551 名参与者,他们在 2002 年至 2003 年期间有脂联素数据。通过将居住地址与高分辨率机器学习模型(分辨率为 1 公里)相链接,分配了每年的空气污染暴露。使用多变量线性回归和贝叶斯核机器回归 (BKMR) 评估了个体污染物和污染物混合物的关联。在线性回归模型中调整混杂因素后,PM(2.5μg/m)的四分位间距增加与 HMW 脂联素水平降低 4.6%(95%CI:-8.8%,-0.3%)相关。BKMR 模型中,空气污染物混合物的暴露与 HMW 脂联素呈负相关,与瘦素水平呈正相关。这些发现表明,PM、NO 和 O 的暴露与不良的脂联素水平有关,这可能导致与肥胖相关的结果。需要进一步研究来证实这些发现并探索潜在的生物学机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/318e/11632973/4d59514200d0/nihms-2039847-f0001.jpg

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