Evidence map›Paper›PMID 41385298›Full record

ArticleToxicological sciences : an official journal of the Society of Toxicology2026

Cobalt mediates stage-specific toxicity of metal mixtures in cardiovascular-kidney-metabolic syndrome.

Wei Zhang, GuangYu Jiang, Ziyan Liu, LianRui Duan, JiaYi Liang, Ziyan Wang, Huiwen Kang, Danyang Huang, Ai Gao

Abstract read
In one paragraph

Article in Toxicological sciences : an official journal of the Society of Toxicology, 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

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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

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

9 authors.

Wei ZhangDepartment of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China.
GuangYu JiangDepartment of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China.
Ziyan LiuDepartment of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China.
LianRui DuanDepartment of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China.
JiaYi LiangDepartment of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China.
Ziyan WangDepartment of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China.
Huiwen KangDepartment of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China.
Danyang HuangDepartment of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China.
Ai GaoDepartment of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing 100069, China.ORCID 0009-0004-7328-7118

Funding

Basic Scientific Research Operating Funds of Beijing Municipal Universities XJJS202514Beijing Natural Science Foundation Program and Scientific Research Key Program of Beijing Municipal Commission of Education KZ201810025032National Natural Science Foundation of China 82073520National Natural Science Foundation of China 82304183
6 · The paper itself

Abstract

Cardiovascular-Kidney-Metabolic (CKM) syndrome imposes a rising global health burden, yet the link between environmental metal mixtures and CKM progression remains unclear. To assess the joint effects of metal mixtures on CKM syndrome staging and identify critical toxic drivers through advanced mixture analysis. National Health and Nutrition Examination Survey data (2011 to 2016) from 1,816 participants were analyzed via Weighted Quantile Sum (WQS) regression, generalized linear models (GLMs), ridge regression, Shapley Additive exPlanations (SHAP) analysis, and polynomial regression. An adverse outcome pathway (AOP) framework was utilized to characterize the mechanisms of metal-mediated CKM. The WQS model revealed an association between mixed metal exposure and CKM (β = 0.502, P = 0.013). Subsequently, GLMs and ridge regression further identified the associative characteristics of individual metals, with all 3 models pointing to cobalt as the key driver. The SHAP model validated cobalt's dominant contribution from the perspective of marginal feature importance. Additionally, a polynomial equation analysis showed that cobalt exhibited a linear dose-response relationship with CKM syndrome. Based on these findings, the AOP framework further identified that early CKM stages are linked with cobalt-related metabolic and immune dysregulation. In contrast, late stages involve disruptions in calcium homeostasis, lipid metabolism, and cell apoptosis-survival balance. Our findings highlight the impact of metal exposure on the progression of CKM syndrome; the AOP framework has deciphered stage-specific mechanisms of cobalt, revealing distinct toxicological pathways in early versus late CKM.

Indexed as

Cardio-Renal SyndromeCobaltEnvironmental PollutantsMetabolic SyndromeAdultAgedFemaleHumansMaleMiddle AgedNutrition SurveysCobaltEnvironmental Pollutantsadverse outcome pathwaycardiovascular–kidney–metaboliccobaltmachine learningmetal exposure

Identifiers

PMID41385298
PMCPMC13117609

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.