Unveiling the interaction and combined effects of multiple metals/metalloids exposure to TNF-α and kidney function in adults using bayesian kernel machine regression and quantile-based G-computation

IF 3.6 3区医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY

Journal of Trace Elements in Medicine and Biology Pub Date : 2024-10-19 DOI:10.1016/j.jtemb.2024.127552

Kuei-Hau Luo , Hung-Pin Tu , Yong-Chuan Chung , Min-Hsin Huang , Chen-Cheng Yang , Tzu-Hua Chen , Cheng-Hong Yang , Hung-Yi Chuang

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引用次数: 0

Abstract

Background

Exposure to multiple metals may cause adverse effects, particularly in the kidneys. However, studies on the combined and interaction effects of metal mixtures on human health remain limited.

Objective

The study aims to evaluate the interaction between metals and assess the combined effects of exposure to metal mixtures on tumor necrosis factor-alpha (TNF-α) levels and kidney function

Methods

Particular emphasis has been placed on the impact of various metals, including arsenic (As), cadmium (Cd), lead (Pb), as well as essential trace elements, such as cobalt (Co), copper (Cu), selenium (Se), and zinc (Zn), on human health and their potential collective influence on both TNF-α and kidney function. This cross-sectional study analyzed the data of 421 adults who underwent a health examination. Generalized linear model (GLM), Bayesian kernel machine regression (BKMR), and quantile-based G-computation (qgcomp) were used to evaluate the association and joint effects between the metals and TNF-α, as well as kidney function.

Results

Increased concentrations of As (β = 0.11, 95 % CI = 0.05, 0.17) and Pb (β = 0.30, 95 % CI = 0.23, 0.37) in the blood were associated with elevated levels of TNF-α, while elevated Cu (β = −0.42, 95 % CI = −0.77, −0.07) levels were linked to a significant reduction in TNF-α. The overall effect of metals mixture showed a significant association with a decline in eGFR and an increase TNF-α in the BKMR model. Qgcomp analysis of the metals mixture (β = −0.06, 95 % CI = −0.07, −0.05) indicated that As, Pb, and Zn were the primary contributors to the reduction in eGFR, while As and Pb were the major contributors in metals mixture (β = 0.12, 95 % CI = 0.08, 0.15) to the elevation of TNF-α levels.

Conclusion

Exposure to multiple metals could have joint association with the TNF-α levels and kidney function. Furthermore, TNF-α could act as a mediator between metal mixtures and eGFR.

查看原文本刊更多论文

利用贝叶斯核机器回归和基于量子的G计算揭示多种金属/金属化合物暴露对成人TNF-α和肾功能的相互作用和综合影响

背景接触多种金属可能会造成不良影响，尤其是对肾脏的影响。然而，有关金属混合物对人体健康的综合影响和相互作用的研究仍然有限。本研究旨在评估金属之间的相互作用，并评估暴露于金属混合物对肿瘤坏死因子-α（TNF-α）水平和肾功能的综合影响、砷 (As)、镉 (Cd)、铅 (Pb) 以及钴 (Co)、铜 (Cu)、硒 (Se) 和锌 (Zn) 等必需微量元素对人体健康的影响及其对 TNF-α 和肾功能的潜在共同影响。这项横断面研究分析了 421 名接受健康检查的成年人的数据。研究采用了广义线性模型（GLM）、贝叶斯核机器回归（BKMR）和基于量子的 G 计算（qgcomp）来评估金属与 TNF-α 和肾功能之间的关联和联合效应。结果血液中砷（β = 0.11，95 % CI = 0.05，0.17）和铅（β = 0.30，95 % CI = 0.23，0.37）浓度的升高与 TNF-α 水平的升高有关，而铜（β = -0.42，95 % CI = -0.77，-0.07）浓度的升高与 TNF-α 水平的显著降低有关。在 BKMR 模型中，金属混合物的总体效应与 eGFR 的下降和 TNF-α 的增加有显著关联。对金属混合物的Qgcomp分析（β = -0.06，95 % CI = -0.07，-0.05）表明，砷、铅和锌是导致eGFR下降的主要因素，而砷和铅是导致TNF-α水平升高的主要因素（β = 0.12，95 % CI = 0.08，0.15）。此外，TNF-α可能是金属混合物与肾小球滤过率之间的媒介。

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

Journal of Trace Elements in Medicine and Biology 医学-内分泌学与代谢

CiteScore

6.60

自引率

2.90%

发文量

202

审稿时长

85 days

期刊介绍： The journal provides the reader with a thorough description of theoretical and applied aspects of trace elements in medicine and biology and is devoted to the advancement of scientific knowledge about trace elements and trace element species. Trace elements play essential roles in the maintenance of physiological processes. During the last decades there has been a great deal of scientific investigation about the function and binding of trace elements. The Journal of Trace Elements in Medicine and Biology focuses on the description and dissemination of scientific results concerning the role of trace elements with respect to their mode of action in health and disease and nutritional importance. Progress in the knowledge of the biological role of trace elements depends, however, on advances in trace elements chemistry. Thus the Journal of Trace Elements in Medicine and Biology will include only those papers that base their results on proven analytical methods. Also, we only publish those articles in which the quality assurance regarding the execution of experiments and achievement of results is guaranteed.