Evidence map›Paper›PMID 39804453›Full record

ArticleBiological trace element research2025

Associations of Exposure to 56 Serum Trace Elements with the Prevalence and Severity of Acute Myocardial Infarction: Omics, Mixture, and Mediation Analysis.

Zhonghua Sun, Ying Xu, Ying Liu, Xinyu Tao, Ping Zhou, Han Feng, Yangyang Weng, Xiang Lu, Jun Wu, Yongyue Wei and 2 more

Abstract read
In one paragraph

Article in Biological trace element research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

12 citing papers in PubMed.

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  10. A method based onRSC advances · 2025
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4 · The record

Corrections and comments

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

12 authors.

Zhonghua Sun *Department of Geriatrics, The Second Affiliated Hospital, Nanjing Medical University, Nanjing, 210011, China.
Ying Xu *Department of Intensive Care Unit, The Affiliated Nanjing Drum Tower Hospital, Nanjing University Medical School, Nanjing, 210008, China.
Ying LiuDepartment of Geriatrics, The Second Affiliated Hospital, Nanjing Medical University, Nanjing, 210011, China.
Xinyu TaoDepartment of Geriatrics, The Second Affiliated Hospital, Nanjing Medical University, Nanjing, 210011, China.
Ping ZhouDepartment of Geriatrics, The Second Affiliated Hospital, Nanjing Medical University, Nanjing, 210011, China.
Han FengDepartment of Geriatrics, The Second Affiliated Hospital, Nanjing Medical University, Nanjing, 210011, China.
Yangyang WengDepartment of Geriatrics, The Second Affiliated Hospital, Nanjing Medical University, Nanjing, 210011, China.
Xiang LuDepartment of Geriatrics, The Second Affiliated Hospital, Nanjing Medical University, Nanjing, 210011, China.
Jun WuDepartment of Geriatric Cardiology, The First Affiliated Hospital, Nanjing Medical University, Nanjing, 210029, China.
Yongyue WeiDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, 100191, China. ywei@pku.edu.cn.
Chen QuDepartment of Geriatrics, The Second Affiliated Hospital, Nanjing Medical University, Nanjing, 210011, China. quchen@njmu.edu.cn.
Zhengxia LiuDepartment of Geriatrics, The Second Affiliated Hospital, Nanjing Medical University, Nanjing, 210011, China. zhengxl1@njmu.edu.cn.

Funding

Clinical Competence Improvement Project of Jiangsu Province Hospital JSPH-MB-2022-13National Natural Science Foundation of China 81970374National Natural Science Foundation of China 82372165Natural Science Foundation of the Jiangsu Higher Education Institutions of China 21KJA320003Scientific Research Project of Jiangsu Commission of Health LKZ2023001
6 · The paper itself

Abstract

Several studies have reported associations between specific heavy metals and essential trace elements and acute myocardial infarction (AMI). However, there is limited understanding of the relationships between trace elements and AMI in real-life co-exposure scenarios, where multiple elements may interact simultaneously. This cross-sectional study measured serum levels of 56 trace elements using inductively coupled plasma mass spectrometry. We identified individual trace elements linked to AMI using four feature selection methods and evaluated their associations with AMI prevalence and severity through multiple-element logistic regression. Restricted cubic spline analysis was employed to examine non-linear associations. Additionally, we explored the associations between trace element mixtures and AMI prevalence and severity using Bayesian kernel machine regression (BKMR) and element risk score (ERS). Finally, we investigated the potential mechanisms linking trace element exposure to AMI. We detected stable positive associations and linear relationships between Cu and Rb and AMI prevalence and severity. Furthermore, lower Fe concentrations were associated with higher AMI prevalence, while higher Sb concentrations were linked to greater AMI severity. Both BKMR and ERS models indicated positive associations between trace element mixtures and AMI prevalence and severity. Mediation analysis suggested that high-sensitivity C-reactive protein partially mediated the associations between trace elements and AMI prevalence and severity. We provide the first epidemiological evidence of the associations between serum trace element mixtures and AMI prevalence and severity. Under conditions of trace element co-exposure, Cu, Rb, Fe, and Sb were closely associated with AMI. Additionally, our results indicate that hsCRP (inflammation) may be a potential mechanism linking trace elements to AMI.

Indexed as

Myocardial InfarctionTrace ElementsAgedC-Reactive ProteinCross-Sectional StudiesFemaleHumansMaleMediation AnalysisMiddle AgedPrevalenceC-Reactive ProteinTrace ElementsAcute myocardial infarctionElementomicsInflammationMixed exposureTrace element

Identifiers

PMID39804453
PMCPMC12316721

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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 OpenQuestion graph.