■衰老是最重要的公共卫生问题之一。以前对影响衰老的因素的研究集中在遗传和生活方式上,但是多环芳烃(PAHs)与老化之间的关系尚不清楚。
■这项研究利用了2003-2010年国家健康和营养调查(NHANES)的数据。通过使用最新的先进算法Klemera-Doubal方法(KDM)和马氏距离,共有8,100名参与者用于构建生物学年龄预测因子。两个生物老化指标,记录为KDM-BA加速度和PhenoAge加速度,使用多元线性回归分析研究单一PAHs与生物年龄之间的关系,并构建了加权分位数和(WQS)模型,以探讨PAHs对生物年龄的混合影响。最后,我们构建了约束三次样条(RCS)模型来评估PAHs与生物年龄之间的非线性关系。
■PAHs暴露与PhenoAge加速度相关。每个单位增加1-萘酚的log10转化水平,2-萘酚,2-芴与0.173(95%CI:0.085,0.261)相关,0.310(95%CI:0.182,0.438),和0.454(95%CI:0.309,0.598)-年增加的PhenoAge加速度,分别为(所有校正P<0.05)。尿PAH混合物与KDM-BA加速(β=0.13,95%CI:0,0.26,P=0.048)和PhenoAge加速(β=0.59,95%CI:0.47,0.70,P<0.001)有关。在加权分位数和(WQS)回归中,2-萘酚的权重最高。RCS分析显示,除了1-萘酚之间的非线性关联外,2-萘酚和2-芴与KDM-BA加速之间的非线性关联(所有P<0.05),2-萘酚,3-芴,2-芴,1-芘与PhenoAge加速(均P<0.05)。
■暴露于混合PAHs与老化增加有关,2-萘酚是与衰老相关的PAHs的关键成分。这项研究已经确定了老化的PAH成分的风险因素。
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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 P < 0.05). The urinary PAH mixture was relevant to KDM-BA acceleration (β = 0.13, 95% CI: 0, 0.26, P = 0.048) and PhenoAge acceleration (β = 0.59, 95% CI: 0.47, 0.70, P < 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 P < 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 P < 0.05).
UNASSIGNED: 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.