Evidence map›Paper›PMID 41656455›Full record

ArticleBiometals : an international journal on the role of metal ions in biology, biochemistry, and medicine2026

Urinary metal exposure, systemic inflammation, and advanced cardiovascular-kidney-metabolic syndrome risk in US adults.

Zhaoqi Yan, Yifeng Xu, Xiufan Du

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Article in Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Zhaoqi Yan *Graduate School, China Academy of Chinese Medical Sciences, Beijing, China.
Yifeng Xu *Graduate School, China Academy of Chinese Medical Sciences, Beijing, China.
Xiufan Du *Department of Rehabilitation Medicine, Nanchang People's Hospital, The Third Hospital of Nanchang, No. 1268, Jiuzhou Street, Chaoyang New Town, Xihu District, Nanchang, Jiangxi, China. draliee@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To examine inflammatory biomarkers as potential mediators in the association between urinary metal exposure and advanced Cardiovascular-Kidney-Metabolic Syndrome (CKM) risk in US adults, and to evaluate urinary metals' association with risk and their predictive value. Analysis included 6249 NHANES participants. Restricted Cubic Spline (RCS) explored dose-response relationships. Multivariable and piecewise logistic regression assessed associations between specific metals and advanced CKM risk at different exposure levels. Receiver Operating Characteristic (ROC) curves evaluated predictive performance. Mediation analysis tested the role of inflammatory biomarkers. Generalized Weighted Quantile Sum (gWQS) regression and machine learning (ML) models further assessed metal mixture effects and mechanisms. Restricted cubic spline analysis indicated linear associations between all urinary metal levels and advanced CKM risk. Elevated levels of the Multi-Metal Inflammatory Index (MMII), cadmium (Cd), and cobalt (Co) were significantly associated with increased risk of advanced CKM: each 1-unit increase was associated with a 122%, 28%, and 14% higher risk, respectively. This association was significant only at higher exposure levels. ROC analysis showed good predictive performance. Inflammatory biomarkers, including WBC, NENO, SIRI, AISI, MHR, and NHR, mediated the associations between MMII/Cd/Co and advanced CKM risk. gWQS and ML analyses confirmed the adverse associations of MMII, Cd, and Co, ranking their importance as MMII > Cd > Co. Higher levels of MMII, Cd, and Co are significantly associated with increased advanced CKM risk among US adults, with inflammatory biomarkers playing a key mediating role. These findings highlight a notable public health consideration.

Indexed as

CadmiumCardiovascular DiseasesCobaltInflammationMetabolic SyndromeAdultBiomarkersFemaleHumansMaleMiddle AgedRisk FactorsUnited StatesBiomarkersCadmiumCobaltCardiovascular-kidney-metabolic syndromeInflammatory biomarkersMachine learning modelsMediation AnalysisNational health and nutrition examination surveyUrinary metal exposure

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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.