Threshold and combined effects of heavy metals on the risk of phenotypic age acceleration among U.S. adults.

IF 4.1 3区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Yalan Liu, Zhaofeng Jin, Shihao Fu
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Abstract

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.

Abstract Image

重金属对美国成年人表型年龄加速风险的阈值效应和综合效应。
体内重金属的积累已被证明会影响表型年龄(PhenoAge)。然而,血液重金属对表型年龄加速(PhenoAgeAccel)风险的综合影响和阈值影响尚不十分清楚。我们利用 2015-2018 年全国健康与营养调查的血液重金属数据(N = 7763,年龄≥18 岁)进行了一项横断面研究。PhenoAgeAccel由实际年龄和九种生物标志物计算得出。多元回归方程用于描述重金属与 PhenoAgeAccel 之间的关系。采用最小绝对收缩和选择操作符(LASSO)回归模型来探讨重金属和 PhenoAgeAccel 的综合效应之间的关系。为探讨重金属与 PhenoAgeAccel 之间的线性和非线性关系,进行了阈值效应和多元回归分析。阈值效应分析表明,血液中的汞(Hg)浓度与 PhenoAgeAccel 呈线性关系。相比之下,铅(Pb)、镉(Cd)、锰(Mn)和综合暴露与 PhenoAgeAccel 呈非线性关系。此外,铅、镉、汞和锰的组合对 PhenoAgeAccel 有显著影响。PhenoAgeAccel 的风险增加了 207%(P < 0.0001)。同时,血液中的铅、镉、锰与 PhenoAgeAccel 的发生之间存在阈值关系。总之,我们的研究结果表明,联合接触重金属可能会增加罹患 PhenoAgeAccel 的风险。这项研究强调了减少环境中重金属污染的必要性,并为今后的研究提供了参考阈值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Biometals
Biometals 生物-生化与分子生物学
CiteScore
5.90
自引率
8.60%
发文量
111
审稿时长
3 months
期刊介绍: BioMetals is the only established journal to feature the important role of metal ions in chemistry, biology, biochemistry, environmental science, and medicine. BioMetals is an international, multidisciplinary journal singularly devoted to the rapid publication of the fundamental advances of both basic and applied research in this field. BioMetals offers a forum for innovative research and clinical results on the structure and function of: - metal ions - metal chelates, - siderophores, - metal-containing proteins - biominerals in all biosystems. - BioMetals rapidly publishes original articles and reviews. BioMetals is a journal for metals researchers who practice in medicine, biochemistry, pharmacology, toxicology, microbiology, cell biology, chemistry, and plant physiology who are based academic, industrial and government laboratories.
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