Evidence map›Paper›PMID 41939824›Full record

ArticleClinical kidney journal2026

Associations of plasma concentrations of heavy metals and trace elements with estimated glomerular filtration rate and chronic kidney disease: a population-based study.

Sisi Xie, Aurélien Thomas, Belen Ponte, Daniel Ackermann, Menno Pruijm, Pedro Marques-Vidal, Murielle Bochud

Abstract read
In one paragraph

Article in Clinical kidney journal, 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.

2 · The registry

The trial behind it

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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

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5 · Who and what money

Authors and funding

7 authors.

Sisi XieDepartment of Medicine, Internal Medicine, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland.
Aurélien ThomasFaculty Unit of Toxicology, University Center of Legal Medicine Lausanne-Geneva, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0000-0001-6790-2285
Belen PonteDivision of Nephrology and Hypertension, Department of Medicine, University Hospital of Geneva (HUG), Geneva, Switzerland.
Daniel AckermannDepartment of Nephrology and Hypertension, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.ORCID https://orcid.org/0000-0003-0550-354X
Menno PruijmService of Nephrology and Hypertension, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0000-0003-1027-1851
Pedro Marques-VidalDepartment of Medicine, Internal Medicine, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-4548-8500
Murielle BochudDepartment of Epidemiology and Health Systems, Unisanté, Lausanne, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic kidney disease (CKD) is a global public health issue. Heavy metals and trace elements may influence kidney function. This study aimed to investigate the association between plasma concentrations of 24 heavy metals and trace elements and kidney function, including estimated glomerular filtration rate (eGFR) and CKD status in European adults. Methods: This study included adult participants from the Swiss Kidney Project on Genes in Hypertension cohort (2008-2013). Associations with eGFR and CKD were assessed using multivariable linear and logistic regression, and restricted cubic spline models for non-linear trends. Mixture effects were evaluated using least absolute shrinkage and selection operator for variable selection, followed by weighted quantile sum (WQS) regression. Multiple sensitivity analyses were conducted to assess robustness. Results: Of the 988 participants (mean age 47.0 years, 52.3% female), 72 (7.3%) had CKD. In multivariable linear models with continuous exposures, higher plasma tin, antimony and iodine were associated with lower eGFR, but none remained significant after false discovery rate (FDR) correction. In quartile analyses, lower eGFR was observed in the highest exposure quartile for zinc and thallium, with a borderline trend for iodine. Arsenic showed a significant non-linear relationship with eGFR, with a turning point at ≈11.7 μg/l and an estimated decline of 3.27 ml/min/1.73 m Conclusions: After FDR adjustment across 24 elements, no individual element remained associated with eGFR, whereas molybdenum remained linked to CKD. Findings involving iodine were nominal and should be considered exploratory. Longitudinal and mechanistic studies are needed to validate these observations and clarify causality.

Indexed as

chronic kidney diseaseeGFRheavykidney functionmetalstrace elements

Identifiers

PMID41939824
PMCPMC13044714

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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.