Nanan District Center for Disease Control and Prevention, Chongqing, 401336, China.
Kweichow Moutai Hospital, Renhuai, 564500, Guizhou, China.
Biometals. 2024 Oct;37(5):1279-1288. doi: 10.1007/s10534-024-00609-x. Epub 2024 May 31.
Accumulation of heavy metals in the body has been shown to affect the phenotypic age (PhenoAge). However, the combined and threshold effects of blood heavy metals on the risk of PhenoAge acceleration (PhenoAgeAccel) are not well understood. A cross-sectional study was conducted using blood heavy metal data (N = 7763, age ≥18 years) from the 2015-2018 National Health and Nutrition Examination Survey. PhenoAgeAccel was calculated from actual age and nine biomarkers. Multiple regression equations were used to describe the relationship between heavy metals and PhenoAgeAccel. Least Absolute Shrinkage and Selection Operator (LASSO) regression modeling was used to explore the relationship between the combined effects of heavy metals and PhenoAgeAccel. Threshold effect and multiple regression analyses were performed to explore the linear and nonlinear relationships between heavy metals and PhenoAgeAccel. Threshold effect analysis showed that blood mercury (Hg) concentration was linearly associated with PhenoAgeAccel. In contrast, lead (Pb), cadmium (Cd), manganese (Mn), and combined exposure were nonlinearly associated with PhenoAgeAccel. In addition, the combination of Pb, Cd, Hg, and Mn significantly affected PhenoAgeAccel. The risk of PhenoAgeAccel was increased by 207% (P < 0.0001). Meanwhile, a threshold relationship was found between blood Pb, Cd, Mn, and the occurrence of PhenoAgeAccel. Overall, our results indicate that combined exposure to heavy metals may increase the risk of PhenoAgeAccel. This study underscores the need to reduce heavy metal pollution in the environment and provides a reference threshold for future studies.
重金属在体内的积累已被证明会影响表型年龄(PhenoAge)。然而,血液重金属对 PhenoAge 加速(PhenoAgeAccel)风险的联合和阈值效应尚不清楚。本研究采用 2015-2018 年国家健康与营养调查(NHANES)中血液重金属数据(N=7763,年龄≥18 岁)进行了一项横断面研究。PhenoAgeAccel 由实际年龄和 9 种生物标志物计算得出。采用多元回归方程描述重金属与 PhenoAgeAccel 之间的关系。使用最小绝对值收缩和选择算子(LASSO)回归模型探讨重金属联合作用与 PhenoAgeAccel 的关系。采用阈值效应和多元回归分析探讨重金属与 PhenoAgeAccel 之间的线性和非线性关系。阈值效应分析显示,血液汞(Hg)浓度与 PhenoAgeAccel 呈线性相关。相比之下,铅(Pb)、镉(Cd)、锰(Mn)和联合暴露与 PhenoAgeAccel 呈非线性相关。此外,Pb、Cd、Hg 和 Mn 的联合暴露显著影响 PhenoAgeAccel。PhenoAgeAccel 的风险增加了 207%(P<0.0001)。同时,血液 Pb、Cd、Mn 与 PhenoAgeAccel 的发生之间存在阈值关系。总之,本研究结果表明,重金属联合暴露可能会增加 PhenoAgeAccel 的风险。本研究强调了减少环境重金属污染的必要性,并为未来的研究提供了参考阈值。