Combined Effects and Potential Mechanisms of Multiple Metals Exposure on Coronary Artery Disease in the US Population: An Integrated Epidemiological and Network Toxicology Study.

IF 4.3 3区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Biological Trace Element Research Pub Date : 2026-10-01 Epub Date: 2026-06-27 DOI:10.1007/s12011-026-05204-4
Chaoyi Bian, Chuanting Wen, Kangkang Zhong, Wanting Wang, Rui Yang, Qi Zhong
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引用次数: 0

Abstract

Coronary artery disease (CAD) emerged as a major global health burden, but the relationship between multiple metals exposure and CAD and its toxicological mechanism were not fully understood. We analyzed the data from the National Health and Nutrition Examination Survey (NHANES) from 2001 to 2016, and evaluated the association between multiple metals exposure and CAD, including barium, cadmium, cobalt, cesium, molybdenum, lead, antimony, thallium, and uranium. Weighted Quantile Sum (WQS) regression and Quantile g-computation were constructed to explore the joint association of multiple metals exposure on CAD. Metal-related and CAD targets were obtained from Comparative Toxicogenomics Database (CTD) and Gene Expression Omnibus (GEO). Network toxicology was used to explore potential biological pathways of key metal exposure and CAD. A total of 8,962 participants was included in our study. In single metal analysis, cadmium [odds ratio (OR) and 95% confidence interval (CI) = 1.77, 95%CI:1.51-2.08], barium (OR = 0.87, 95%CI:0.78-0.97), cobalt (OR = 1.31, 95%CI:1.14-1.50) and uranium (OR = 1.20, 95%CI:1.05-1.37) were associated with CAD in total population. WQS regression and Quantile g-computation revealed that cadmium, was assigned the largest positive contribution on CAD. Network toxicology identified 44 overlapping targets potentially related to cadmium exposure and CAD. Subsequent STRING and Cytoscape analyses were used to construct a protein-protein interaction (PPI) network and highlight 13 key targets. Machine learning algorithms further identified the gene MMP9 as a key target. Our study found that multiple metals mixture exposure was associated with higher CAD prevalence and network toxicology identified MMP9 as core target. These findings should be interpreted as hypothesis-generating and further longitudinal and experimental studies are warranted to validate the role of cadmium exposure and MMP9-related pathways in CAD.

多种金属暴露对美国人群冠状动脉疾病的综合影响和潜在机制:一项综合流行病学和网络毒理学研究
冠状动脉疾病(CAD)已成为全球主要的健康负担,但多种金属暴露与CAD之间的关系及其毒理学机制尚不完全清楚。我们分析了2001年至2016年国家健康与营养检查调查(NHANES)的数据,并评估了多种金属暴露与CAD之间的关系,包括钡、镉、钴、铯、钼、铅、锑、铊和铀。构建加权分位数和(WQS)回归和分位数g计算,探讨多种金属暴露与CAD的联合关系。金属相关靶点和CAD靶点来自比较毒物基因组数据库(CTD)和基因表达综合数据库(GEO)。采用网络毒理学方法探讨关键金属暴露与CAD的潜在生物学途径。我们的研究共纳入8,962名参与者。在单一金属分析中,镉[优势比(OR)和95%可信区间(CI) = 1.77, 95%CI:1.51-2.08]、钡(OR = 0.87, 95%CI:0.78-0.97)、钴(OR = 1.31, 95%CI:1.14-1.50)和铀(OR = 1.20, 95%CI:1.05-1.37)与总人口中CAD相关。WQS回归和分位数g计算显示,镉对CAD的正向贡献最大。网络毒理学鉴定出44个可能与镉暴露和CAD相关的重叠靶点。随后的STRING和Cytoscape分析用于构建蛋白相互作用(PPI)网络并突出13个关键靶点。机器学习算法进一步确定了基因MMP9作为关键靶点。我们的研究发现,多种金属混合物暴露与较高的CAD患病率相关,网络毒理学确定MMP9为核心靶点。这些发现应该被解释为假设,进一步的纵向和实验研究是有必要的,以验证镉暴露和mmp9相关途径在CAD中的作用。
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来源期刊
Biological Trace Element Research
Biological Trace Element Research 生物-内分泌学与代谢
CiteScore
8.70
自引率
10.30%
发文量
459
审稿时长
2 months
期刊介绍: Biological Trace Element Research provides a much-needed central forum for the emergent, interdisciplinary field of research on the biological, environmental, and biomedical roles of trace elements. Rather than confine itself to biochemistry, the journal emphasizes the integrative aspects of trace metal research in all appropriate fields, publishing human and animal nutritional studies devoted to the fundamental chemistry and biochemistry at issue as well as to the elucidation of the relevant aspects of preventive medicine, epidemiology, clinical chemistry, agriculture, endocrinology, animal science, pharmacology, microbiology, toxicology, virology, marine biology, sensory physiology, developmental biology, and related fields.
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