Evidence map›Paper›PMID 42364052›Full record

ArticleBiological trace element research2026

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

Chaoyi Bian, Chuanting Wen, Kangkang Zhong, Wanting Wang, Rui Yang, Qi Zhong

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Article in Biological trace element research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Chaoyi BianSecond School of Clinical Medicine, Anhui Medical University, Hefei, Anhui, 230032, China.
Chuanting WenSchool of Public Health, Anhui Medical University, No. 81 Meishan Road,, Hefei, Anhui, 230032, China.
Kangkang ZhongSchool of Public Health, Anhui Medical University, No. 81 Meishan Road,, Hefei, Anhui, 230032, China.
Wanting WangSchool of Public Health, Anhui Medical University, No. 81 Meishan Road,, Hefei, Anhui, 230032, China.
Rui YangSchool of Public Health, Anhui Medical University, No. 81 Meishan Road,, Hefei, Anhui, 230032, China.
Qi ZhongSchool of Public Health, Anhui Medical University, No. 81 Meishan Road,, Hefei, Anhui, 230032, China. qizh@ahmu.edu.cn.ORCID http://orcid.org/0009-0002-7808-8869

Funding

Collaborative Education Innovation Project of School of Public Health from Anhui Medical University 2024GWXTYRZ004,2024GWXTYRY010National Natural Science Foundation of China No. 82404223Noncommunicable Chronic Diseases-National Science and Technology Major Project No.2023ZD0518800
6 · The paper itself

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.

Indexed as

Coronary Artery DiseaseEnvironmental ExposureFemaleHumansMaleNutrition SurveysUnited States

Identifiers

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.