The impact of urinary metal exposure on cardiac injury measured by four high-sensitivity troponin assays in US adults: A nationwide cross-sectional study
Yilan Li , Yue Sun , Xinhao Han , Jingwen Deng , Mingsi Wang , Yongpeng Zou
{"title":"The impact of urinary metal exposure on cardiac injury measured by four high-sensitivity troponin assays in US adults: A nationwide cross-sectional study","authors":"Yilan Li , Yue Sun , Xinhao Han , Jingwen Deng , Mingsi Wang , Yongpeng Zou","doi":"10.1016/j.cca.2025.120382","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Existing research primarily focuses on cardiovascular disease risks, with limited studies on the impact of metals on cardiac injury. This study aims to investigate the associations between urinary metal exposure and cardiac injury biomarkers, specifically high-sensitivity cardiac troponin I (Hs-cTnI) and T (Hs-cTnT), in US adults.</div></div><div><h3>Methods</h3><div>We analyzed data from 3,865 adults in the National Health and Nutrition Examination Survey (1999–2004) using weighted quantile sum (WQS) regression, quantile g-computation (Qgcomp), multivariate logistic regression, and Bayesian kernel machine regression (BKMR) to examine correlations between 9 urinary metals and cardiac injury biomarkers (Hs-cTnI and Hs-cTnT).</div></div><div><h3>Results</h3><div>Increased Abbott Hs-cTnI was significantly associated with higher levels of Cd (OR: 1.26, 95% CI: 1.11, 1.42) and lead (Pb) (OR: 1.17, 95% CI: 1.01, 1.34) in multivariate logistic regression. Furthermore, Cd (85.90%), Pb (8.01%), and tungsten (W) (3.34%) were the most weighted metals in the Abbott Hs-cTnI WQS models. For the Qgcomp model analysis of Ortho Hs-cTnI, Siemens Hs-cTnI, Abbott Hs-cTnI, and Hs-cTnT, the positive direction metal was Cd (0.2986, 0.6520, 0.7638 and 0.3648, respectively). Based on the results of BKMR, the components that had the highest conditional posterior inclusion probability of Hs-cTnT were Cd (1.000), and antimony (Sb) (1.000) among metal mixtures. Systolic blood pressure mediated the highest proportion of mediating effects in cardiac injury biomarkers.</div></div><div><h3>Conclusion</h3><div>Altogether, our findings indicate that exposure to a metal combination in the urine is associated with an increased risk of cardiac injury. Meanwhile, this association may be predominantly influenced by Cd.</div></div>","PeriodicalId":10205,"journal":{"name":"Clinica Chimica Acta","volume":"576 ","pages":"Article 120382"},"PeriodicalIF":2.9000,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinica Chimica Acta","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S000989812500261X","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICAL LABORATORY TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background
Existing research primarily focuses on cardiovascular disease risks, with limited studies on the impact of metals on cardiac injury. This study aims to investigate the associations between urinary metal exposure and cardiac injury biomarkers, specifically high-sensitivity cardiac troponin I (Hs-cTnI) and T (Hs-cTnT), in US adults.
Methods
We analyzed data from 3,865 adults in the National Health and Nutrition Examination Survey (1999–2004) using weighted quantile sum (WQS) regression, quantile g-computation (Qgcomp), multivariate logistic regression, and Bayesian kernel machine regression (BKMR) to examine correlations between 9 urinary metals and cardiac injury biomarkers (Hs-cTnI and Hs-cTnT).
Results
Increased Abbott Hs-cTnI was significantly associated with higher levels of Cd (OR: 1.26, 95% CI: 1.11, 1.42) and lead (Pb) (OR: 1.17, 95% CI: 1.01, 1.34) in multivariate logistic regression. Furthermore, Cd (85.90%), Pb (8.01%), and tungsten (W) (3.34%) were the most weighted metals in the Abbott Hs-cTnI WQS models. For the Qgcomp model analysis of Ortho Hs-cTnI, Siemens Hs-cTnI, Abbott Hs-cTnI, and Hs-cTnT, the positive direction metal was Cd (0.2986, 0.6520, 0.7638 and 0.3648, respectively). Based on the results of BKMR, the components that had the highest conditional posterior inclusion probability of Hs-cTnT were Cd (1.000), and antimony (Sb) (1.000) among metal mixtures. Systolic blood pressure mediated the highest proportion of mediating effects in cardiac injury biomarkers.
Conclusion
Altogether, our findings indicate that exposure to a metal combination in the urine is associated with an increased risk of cardiac injury. Meanwhile, this association may be predominantly influenced by Cd.
期刊介绍:
The Official Journal of the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC)
Clinica Chimica Acta is a high-quality journal which publishes original Research Communications in the field of clinical chemistry and laboratory medicine, defined as the diagnostic application of chemistry, biochemistry, immunochemistry, biochemical aspects of hematology, toxicology, and molecular biology to the study of human disease in body fluids and cells.
The objective of the journal is to publish novel information leading to a better understanding of biological mechanisms of human diseases, their prevention, diagnosis, and patient management. Reports of an applied clinical character are also welcome. Papers concerned with normal metabolic processes or with constituents of normal cells or body fluids, such as reports of experimental or clinical studies in animals, are only considered when they are clearly and directly relevant to human disease. Evaluation of commercial products have a low priority for publication, unless they are novel or represent a technological breakthrough. Studies dealing with effects of drugs and natural products and studies dealing with the redox status in various diseases are not within the journal''s scope. Development and evaluation of novel analytical methodologies where applicable to diagnostic clinical chemistry and laboratory medicine, including point-of-care testing, and topics on laboratory management and informatics will also be considered. Studies focused on emerging diagnostic technologies and (big) data analysis procedures including digitalization, mobile Health, and artificial Intelligence applied to Laboratory Medicine are also of interest.