Evidence map›Paper›PMID 40518538›Full record

ArticleDiabetology & metabolic syndrome2025

Associations between metal exposure and metabolic syndrome: exploring the mediating role of biological ageing among US adults.

Liuyan Zheng, Xinyue Lu, Suping Luo, Jianhui Guo, Xingyan Xu, Le Yang, Mingjun Chen, Shaowei Lin, Xiaoxu Xie, Huangyuan Li and 1 more

Abstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

11 authors.

Liuyan Zheng *Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Minhou County, Fujian, 350000, China.
Xinyue Lu *Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Minhou County, Fujian, 350000, China.
Suping Luo *Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Minhou County, Fujian, 350000, China.
Jianhui GuoDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Minhou County, Fujian, 350000, China.
Xingyan XuDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Minhou County, Fujian, 350000, China.
Le YangDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Minhou County, Fujian, 350000, China.
Mingjun ChenDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Minhou County, Fujian, 350000, China.
Shaowei LinDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Minhou County, Fujian, 350000, China.
Xiaoxu XieDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Minhou County, Fujian, 350000, China.
Huangyuan LiDepartment of Preventive Medicine, School of Public Health, Fujian Medical University, Fujian, 350000, China.
Siying WuDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Minhou County, Fujian, 350000, China. fmuwsy@163.com.

Funding

Special Funds for Education and Scientific Research of Directly Affiliated Institutions of Fujian Province 21SCZZX003the National Natural Science Foundation of China 82173553
6 · The paper itself

Abstract

backgroundThe relationship between mixed metal exposure and metabolic syndrome (MetS) remains controversial, and the underlying mechanisms of this relationship are not yet fully understood.

objectiveWe evaluated the association between urinary metals and MetS and investigated the potential mediating effect of ageing.

methodsThis study utilized National Health and Nutrition Examination Survey (NHANES) data from 1999 to 2018 and included 11,541 adults aged 20 years and above. We explored the association between urinary concentrations of nine metals and MetS using weighted quantile sum (WQS) regression, grouped weighted quantile sum (GWQS) regression, and Bayesian kernel machine regression (BKMR). In addition, various methodologies have been used to assess biological ageing, encompassing the examination of cellular senescence through the evaluation of telomere length, as well as a comprehensive evaluation of overall body ageing through the determination of biological age. The contribution of biological ageing to the association between urinary metals and MetS was investigated in a mediation analysis.

resultsAfter adjusting for confounders, the WQS and GWQS analyses found positive and negative correlations between metal exposure and MetS, and the main metals affecting MetS risk were cadmium (Cd) and lead (Pb), respectively. A positive relationship was found between exposure to mixed metals and the risk of MetS in the BKMR results. Mediation analysis showed that ageing biomarkers, including biological age and telomere length, mediated 68.43% and 12.05% of the association between metal exposure and MetS, respectively. Biological ageing may play a major role in the association between mixed metal exposure and MetS. Cd contributed the most to the positive association, indicating that priority control measures may be necessary to reduce the risk of MetS related to Cd exposure. SIGNIFICANCE: The findings of this study could contribute to the advancement of targeted measures for metal precautions, ultimately mitigating the incidence of metabolic syndrome. IMPACT STATEMENT: This research employed multipollutant models including WQS regression, GWQS and BKMR to evaluate the combined effects of various metal exposures on the risk of developing MetS based on a nationally representative large cross-sectional study. In addition, this research investigated biological aging by conducting a comprehensive assessment of biological age and telomere length. Our goal is to understand its potential mediating effect on metal exposure and the occurrence of metabolic syndrome. The insights gained from this study could provide valuable hints for future mechanistic research in this field.

Indexed as

Biological ageingHeavy metalsMediationMetabolic syndromeMixed exposure

Identifiers

PMID40518538
PMCPMC12168376

What Socratic holds

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LicenceCC BY-NC-ND
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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.