School of Public Health, Southeast University, Nanjing, Jiangsu, China.
Department of Neurosurgery, Children's Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Front Public Health. 2024 Jun 5;12:1379252. doi: 10.3389/fpubh.2024.1379252. eCollection 2024.
Aging is one of the most important public health issues. Previous studies on the factors affecting aging focused on genetics and lifestyle, but the association between polycyclic aromatic hydrocarbons (PAHs) and aging is still unclear.
This study utilized data from the National Health and Nutrition Examination Survey (NHANES) 2003-2010. A total of 8,100 participants was used to construct the biological age predictors by using recent advanced algorithms Klemera-Doubal method (KDM) and Mahalanobis distance. Two biological aging indexes, recorded as KDM-BA acceleration and PhenoAge acceleration, were used to investigate the relationship between single PAHs and biological age using a multiple linear regression analysis, and a weighted quantile sum (WQS) model was constructed to explore the mixed effects of PAHs on biological age. Finally, we constructed the restricted cubic spline (RCS) model to assess the non-linear relationship between PAHs and biological age.
Exposure to PAHs was associated with PhenoAge acceleration. Each unit increase in the log10-transformed level of 1-naphthol, 2-naphthol, and 2-fluorene was associated with a 0.173 (95% CI: 0.085, 0.261), 0.310 (95% CI: 0.182, 0.438), and 0.454 (95% CI: 0.309, 0.598) -year increase in PhenoAge acceleration, respectively (all corrected < 0.05). The urinary PAH mixture was relevant to KDM-BA acceleration (β = 0.13, 95% CI: 0, 0.26, = 0.048) and PhenoAge acceleration (β = 0.59, 95% CI: 0.47, 0.70, < 0.001), and 2-naphthol had the highest weight in the weighted quantile sum (WQS) regression. The RCS analyses showed a non-linear association between 2-naphthol and 2-fluorene with KDM-BA acceleration (all < 0.05) in addition to a non-linear association between 1-naphthol, 2-naphthol, 3-fluorene, 2-fluorene, and 1-pyrene with PhenoAge acceleration (all < 0.05).
Exposure to mixed PAHs is associated with increased aging, with 2-naphthol being a key component of PAHs associated with aging. This study has identified risk factors in terms of PAH components for aging.
衰老 是最重要的公共健康问题之一。之前关于影响衰老的因素的研究集中在遗传和生活方式上，但多环芳烃（PAHs）与衰老之间的关系尚不清楚。
本研究利用了 2003-2010 年全国健康与营养调查（NHANES）的数据。使用最近的先进算法 Klemera-Doubal 方法（KDM）和马哈拉诺比斯距离，从 8100 名参与者中构建了生物年龄预测因子。使用多个线性回归分析，使用两个生物老化指标，记录为 KDM-BA 加速和 PhenoAge 加速，来研究单一 PAHs 与生物年龄之间的关系，并构建加权数量和（WQS）模型来探讨 PAHs 对生物年龄的混合影响。最后，我们构建了受限立方样条（RCS）模型来评估 PAHs 与生物年龄之间的非线性关系。
多环芳烃的暴露与 PhenoAge 加速有关。1-萘酚、2-萘酚和 2-芴的 log10 转化水平每增加一个单位，PhenoAge 加速分别增加 0.173（95%CI：0.085，0.261）、0.310（95%CI：0.182，0.438）和 0.454（95%CI：0.309，0.598）岁（所有校正值均<0.05）。尿多环芳烃混合物与 KDM-BA 加速（β=0.13，95%CI：0，0.26，=0.048）和 PhenoAge 加速（β=0.59，95%CI：0.47，0.70，<0.001）相关，在加权数量和（WQS）回归中，2-萘酚的权重最高。RCS 分析显示，2-萘酚和 2-芴与 KDM-BA 加速之间存在非线性关系（均<0.05），此外，1-萘酚、2-萘酚、3-氟苯、2-芴和 1-芘与 PhenoAge 加速之间也存在非线性关系（均<0.05）。
多环芳烃混合物的暴露与衰老的增加有关，其中 2-萘酚是与衰老相关的多环芳烃的关键成分。本研究从多环芳烃成分的角度确定了与衰老相关的危险因素。
