Evidence map›Paper›PMID 39621345›Full record

ArticleJAMA network open2024

Urinary Metal Levels, Cognitive Test Performance, and Dementia in the Multi-Ethnic Study of Atherosclerosis.

Arce Domingo-Relloso, Katlyn E McGraw, Susan R Heckbert, Jose A Luchsinger, Kathrin Schilling, Ronald A Glabonjat, Irene Martinez-Morata, Melanie Mayer, Yongmei Liu, Alexis C Wood and 12 more

Erratum issuedAbstract readMulticenter Study
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Review
  3. Identification of chemicals targeting dementia genes and pathways in the Comparative Toxicogenomics Database.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
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  5. Review
  6. Article
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  9. Article
  10. Review
  11. Errors in Funding and Affiliations.JAMA network open · 2025
    Article
  12. Article
  13. Review
  14. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors.

Arce Domingo-RellosoDepartment of Biostatistics, Columbia University Mailman School of Public Health, New York, New York.
Katlyn E McGrawEnvironmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York.
Susan R HeckbertDepartment of Epidemiology, University of Washington School of Public Health, Seattle.
Jose A LuchsingerDivision of General Medicine, Columbia University Department of Medicine, New York, New York.
Kathrin SchillingEnvironmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York.
Ronald A GlabonjatEnvironmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York.
Irene Martinez-MorataEnvironmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York.
Melanie MayerDepartment of Biostatistics, Columbia University Mailman School of Public Health, New York, New York.
Yongmei LiuDepartment of Cardiology, Duke University School of Medicine, Durham, North Carolina.
Alexis C WoodUS Department of Agriculture/Agricultural Research Service Children's Nutrition Research Center, Children's Nutrition Research Center, Baylor College of Medicine, Houston, Texas.
Jeff GoldsmithDepartment of Biostatistics, Columbia University Mailman School of Public Health, New York, New York.
Kathleen M HaydenDepartment of Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina.
Mohamad HabesNeuroimage Analytics Laboratory and the Biggs Institute Neuroimaging Core, Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center, San Antonio.
Ilya M NasrallahDepartment of Radiology, University of Pennsylvania, Philadelphia.
R Nick BryanDepartment of Radiology, University of Pennsylvania, Philadelphia.
Tanweer RashidNeuroimage Analytics Laboratory, University of Texas, San Antonio, San Antonio.
Wendy S PostDivision of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Jerome I RotterThe Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, California.
Priya PaltaDepartment of Radiology, University of North Carolina School of Medicine, Chapell Hill.
Linda ValeriDepartment of Biostatistics, Columbia University Mailman School of Public Health, New York, New York.
Timothy M HughesDepartment of Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina.
Ana Navas-AcienEnvironmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York.

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Steven N. Chillrud · 1998 to 2026
$44.7M
Transgenic & Knock-out MouseP30DK063491 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MILES Frome WILKINSON · 2003 to 2026
$40.4M
Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
Clinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$26.2M
Research Experience and Training Coordination CoreP42ES033719 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Ana Navas-Acien · 2022 to 2026
$11.9M
CHARGE Consortium: Omics Discovery for CVD and Aging PhenotypesR01HL105756 · NHLBI · UNIVERSITY OF WASHINGTON · PI Bruce M Psaty, NICHOLAS L SMITH · 2011 to 2026
$9.5M
Cerebral tau deposition and comorbid cerebrovascular disease across the Alzheimer's disease continuum in Mexican AmericansR01AG085571 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI GONZALES, MITZI MICHELLE, HABES, MOHAMAD · 2024 to 2025
$5.7M
Low-level Arsenic Exposure and Cardiovascular Disease in Multi-Ethnic Adults (MESA As)R01ES028758 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI NAVAS-ACIEN, ANA · 2018 to 2022
$3.6M
Multiethnic machine learning brain signatures of ADRDR01AG080821 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI HABES, MOHAMAD · 2022 to 2025
$2.9M
Vascular Imaging Biomarker Relationships to Alzheimer’s disease (VIBRA)R01AG083865 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Mohamad Habes, Timothy M. Hughes · 2024 to 2026
$2.3M
NCATS NIH HHS UL1 TR000040NCATS NIH HHS UL1 TR001079NCATS NIH HHS UL1 TR001420NCATS NIH HHS UL1 TR001881NHLBI NIH HHS F31 HL146120NHLBI NIH HHS N01 HC095159NHLBI NIH HHS N01 HC095160NHLBI NIH HHS N01 HC095161NHLBI NIH HHS N01 HC095162NHLBI NIH HHS N01 HC095163NHLBI NIH HHS N01 HC095164NHLBI NIH HHS N01 HC095165NHLBI NIH HHS N01 HC095166NHLBI NIH HHS N01 HC095167NHLBI NIH HHS N01 HC095168NHLBI NIH HHS N01 HC095169NHLBI NIH HHS R01 HL105756NIA NIH HHS R01 AG068629NIA NIH HHS R01 AG077518NIA NIH HHS R01 AG080821NIA NIH HHS R01 AG083865NIA NIH HHS R01 AG085571NIDDK NIH HHS P30 DK063491NIEHS NIH HHS P30 ES009089NIEHS NIH HHS P42 ES033719NIEHS NIH HHS R01 ES028758
6 · The paper itself

Abstract

Importance: Metals are established neurotoxicants, but evidence of their association with cognitive performance at low chronic exposure levels is limited. Objective: To investigate the association of urinary metal levels, individually and as a mixture, with cognitive tests and dementia diagnosis, including effect modification by apolipoprotein ε4 allele (APOE4). Design, Setting, and Participants: The multicenter prospective cohort Multi-Ethnic Study of Atherosclerosis (MESA) was started from July 2000 to August 2002, with follow-up through 2018. A total of 6303 MESA participants were included. Data analysis was performed from October 12, 2023, to June 13, 2024. Exposure: Urine samples were collected at baseline (2000-2002), and arsenic, cadmium, cobalt, copper, lead, manganese, tungsten, uranium, and zinc levels were measured in 2020-2022. Main Outcomes and Measures: Digit Symbol Coding (DSC) (n = 3819) (possible score range, 0-133), Cognitive Abilities Screening Instrument (CASI) (n = 3918) (possible score range, 0-100), and Digit Span (DS) (n = 4176) (possible score range, 0-30) cognitive tests were administered in 2010-2012; higher scores of each test indicate increasing levels of positive response. Results: A total of 6303 participants were followed up for dementia diagnosis through 2018. The median age at baseline was 60 (IQR, 53-70) years, and 3303 participants (52.4%) were female. The median cognitive scores were 51 (IQR, 38-64) for DSC, 90 (IQR, 84-95) for CASI, and 15 (IQR, 12-18) for DS. There were 559 cases of dementia through the follow-up period. Inverse associations with DSC were identified: mean differences in z scores per IQR increase in metal levels were -0.03 (95% CI, -0.07 to 0.00) for arsenic, -0.05 (95% CI, -0.09 to -0.004) for cobalt, -0.05 (95% CI, -0.07 to -0.02) for copper, -0.04 (95% CI, -0.08 to -0.001) for uranium, and -0.03 (95% CI, -0.06 to -0.01) for zinc. Among 1058 APOE4 carriers, manganese was also inversely associated with DSC. The joint mean difference of DSC comparing percentile 95th with the 25th of the 9-metal mixture was -0.30 (95% CI, -0.47 to -0.14) for APOE4 carriers and -0.10 (95% CI, -0.19 to -0.01) for noncarriers. Arsenic, cadmium, cobalt, copper, tungsten, uranium, and zinc were individually associated with dementia, with hazard ratios per IQR of metal ranging from 1.15 (95% CI, 1.03-1.29) for tungsten to 1.46 (95% CI, 1.06-2.02) for uranium. The joint hazard ratio of dementia comparing percentiles 95th with the 25th of the 9-metal mixture was 1.71 (95% CI, 1.24-3.89), with no significant difference by APOE4 status. Conclusions and Relevance: In this study, participants with higher concentrations of metals in their urine, compared with those with lower concentrations, had worse performance on cognitive tests and greater likelihood of developing dementia. The findings of this multicenter multiethnic cohort study might inform screening and potential interventions for prevention of dementia based on individuals' metal exposure levels and genetic profiles.

Indexed as

AtherosclerosisDementiaAgedAged, 80 and overApolipoprotein E4CognitionFemaleHumansMaleMetalsMiddle AgedNeuropsychological TestsProspective StudiesApolipoprotein E4Metals

Identifiers

PMID39621345
PMCPMC11612832

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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.