Evidence map›Paper›PMID 32361261›Full record

ArticleEnvironmental research2020

Individual species and cumulative mixture relationships of 24-hour urine metal concentrations with DNA methylation age variables in older men.

Jamaji C Nwanaji-Enwerem, Elena Colicino, Aaron J Specht, Xu Gao, Cuicui Wang, Pantel Vokonas, Marc G Weisskopf, Edward W Boyer, Andrea A Baccarelli, Joel Schwartz

Open access · greenAbstract read
In one paragraph

Article in Environmental research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.6field-weighted citation impact, top 18% of its field
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

17 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
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  7. Threshold and combined effects of heavy metals on the risk of phenotypic age acceleration among U.S. adults.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Genetics and Epigenetics of Manganese Toxicity.Current environmental health reports · 2022
    Review
  12. Review
  13. Review
  14. Article
  15. Article
  16. Genome-Protecting Compounds as Potential Geroprotectors.International journal of molecular sciences · 2020
    Review
  17. Review
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

10 authors at 4 institutions in 1 country.

Jamaji C Nwanaji-EnweremBelfer Center for Science and International Affairs, Harvard Kennedy School of Government, Department of Environmental Health, Harvard T.H. Chan School of Public Health, and MD/PhD Program, Harvard Medical School, Boston, MA, USA. Electronic address: jamaji_nwanaji-enwerem@hms.harvard.edu.
Elena ColicinoDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Aaron J SpechtDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Xu GaoDepartment of Environmental Health Sciences, Columbia Mailman School of Public Health, New York, NY, USA.
Cuicui WangDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Pantel VokonasVA Normative Aging Study, Veterans Affairs Boston Healthcare System and the Department of Medicine, Boston University School of Medicine, Boston, MA, USA.
Marc G WeisskopfDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Edward W BoyerDivision of Medical Toxicology, Department of Emergency Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Andrea A BaccarelliDepartment of Environmental Health Sciences, Columbia Mailman School of Public Health, New York, NY, USA.
Joel SchwartzDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Harvard University · USColumbia University · USBoston University · USIcahn School of Medicine at Mount Sinai · US

Funding

True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MATTHEW S PERZANOWSKI · 1998 to 2026
$44.7M
The Mount Sinai Transdisciplinary Center on Early Environmental ExposuresP30ES023515 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Robert O Wright · 2014 to 2026
$21.3M
Air Particulate, Metals, and Cognitive Performance in an Aging Cohort- Roles of Circulating Extracellular Vesicles and Non-coding RNAsR01ES027747 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI SCHWARTZ, JOEL D · 2017 to 2021
$3.7M
Circulating microRNAs in Extracellular Vesicles, Air Particulate Pollution, and Lung Function in an Aging CohortR01ES025225 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BACCARELLI, ANDREA · 2016 to 2020
$2.9M
Molecular and Epigenetic Mitochondriomics of Air Particles, Lead and CognitionR01ES021733 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI BACCARELLI, ANDREA · 2012 to 2015
$2.4M
NIDA National Early Warning System Network (iN3): An Innovative ApproachR56DA038366 · NIDA · WRIGHT STATE UNIVERSITY · PI BOYER, EDWARD W, CARLSON, ROBERT GEOFFREY · 2014 to 2014
$300k
NIDA NIH HHS R56 DA038366NIEHS NIH HHS P30 ES009089NIEHS NIH HHS P30 ES023515NIEHS NIH HHS R01 ES021733NIEHS NIH HHS R01 ES025225NIEHS NIH HHS R01 ES027747
6 · The paper itself

Abstract

backgroundGlobally, toxic metal exposures are a well-recognized risk factor for many adverse health outcomes. DNA methylation-based measures of biological aging are predictive of disease, but have poorly understood relationships with metal exposures.

objectiveWe performed a pilot study examining the relationships of 24-h urine metal concentrations with three novel DNA methylation-based measures of biological aging: DNAmAge, GrimAge, and PhenoAge.

methodsWe utilized a previously established urine panel of five common metals [arsenic (As), cadmium (Cd), lead (Pb), manganese (Mn), and mercury (Hg)] found in a subset of the elderly US Veterans Affairs Normative Aging Study cohort (N = 48). The measures of DNA methylation-based biological age were calculated using CpG sites on the Illumina HumanMethylation450 BeadChip. Bayesian Kernel Machine Regression (BKMR) was used to determine metals most important to the aging outcomes and the relationship of the cumulative metal mixture with the outcomes. Individual relationships of important metals with the biological aging outcomes were modeled using fully-adjusted linear models controlling for chronological age, renal function, and lifestyle/environmental factors.

resultsMn was selected as important to PhenoAge. A 1 ng/mL increase in urine Mn was associated with a 9.93-year increase in PhenoAge (95%CI: 1.24, 18.61, p = 0.03). The cumulative urine metal mixture was associated with increases in PhenoAge. Compared to a model where each metal in the mixture is set to its 50th percentile value, every one-unit increase of the cumulative mixture with each metal at its 70th percentile was associated with a 2.53-year increase in PhenoAge (95%CI: 0.10, 4.96, P<0.05).

conclusionOur results add novel evidence that metals detected in urine are associated with increases in biological aging and suggest that these DNA methylation-based measures may be useful for identifying individuals at-risk for diseases related to toxic metal exposures. Further research is necessary to confirm these findings more broadly.

Indexed as

ArsenicDNA MethylationAgedBayes TheoremHumansMaleMetalsPilot ProjectsArsenicMetalsAgingDNA Methylation ageEpigeneticsUrine metals

Identifiers

PMID32361261
PMCPMC7363532
OpenAlexW3020757336

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

None linked

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.