Evidence map›Paper›PMID 37337116›Full record

ReviewCurrent environmental health reports2023

A State-of-the-Science Review on Metal Biomarkers.

Irene Martinez-Morata, Marisa Sobel, Maria Tellez-Plaza, Ana Navas-Acien, Caitlin G Howe, Tiffany R Sanchez

Open access · greenAbstract readReview
In one paragraph

Review in Current environmental health reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 123 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
123citing papers in PubMed, 3 pooled it
28.6field-weighted citation impact, top 1% 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

123 citing papers in PubMed, 3 syntheses or guidelines pooled it, 182 citations in OpenAlex.

  1. Pooled it
  2. Manganese concentrations in biological matrices and amyotrophic lateral sclerosis (ALS): a systematic review and meta-analysis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Article
  7. Uranium Isotopes: From Geosciences to Biomedical Sciences.Current environmental health reports · 2026
    Review
  8. Association between metal co-exposure and frailty: exploring the potential explanatory pathway of inflammation.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2026
    Article
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63 more citing papers are in PubMed but not listed here.

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

6 authors at 3 institutions in 2 countries.

Irene Martinez-MorataDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, 722 West 168th Street, 1107, New York, NY, 10032, USA. im2557@cumc.columbia.edu.ORCID 0000-0003-3165-4931
Marisa SobelDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, 722 West 168th Street, 1107, New York, NY, 10032, USA.
Maria Tellez-PlazaCentro Nacional de Epidemiología, Instituto de Salud Carlos III, Madrid, Spain.
Ana Navas-AcienDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, 722 West 168th Street, 1107, New York, NY, 10032, USA.
Caitlin G HoweDepartment of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.
Tiffany R SanchezDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, 722 West 168th Street, 1107, New York, NY, 10032, USA.
Columbia University · USDartmouth College · USInstituto de Salud Carlos III · ES

Funding

True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Steven N. Chillrud · 1998 to 2026
$44.7M
Statistical Services and Methods Development ResourceU2CES026555 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI TEITELBAUM, SUSAN L · 2015 to 2025
$26.4M
Research Experience and Training Coordination CoreP42ES033719 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Ana Navas-Acien · 2022 to 2026
$11.9M
Prenatal Metal Mixtures, Fetal Growth, and the Role of MicroRNAsR00ES030400 · NIEHS · DARTMOUTH COLLEGE · PI HOWE, CAITLIN GRACE · 2020 to 2022
$726k
NIEHS NIH HHS P30 ES009089NIEHS NIH HHS P42 ES033719NIEHS NIH HHS R00 ES030400NIEHS NIH HHS U2C ES026555
6 · The paper itself

Abstract

purpose of reviewBiomarkers are commonly used in epidemiological studies to assess metals and metalloid exposure and estimate internal dose, as they integrate multiple sources and routes of exposure. Researchers are increasingly using multi-metal panels and innovative statistical methods to understand how exposure to real-world metal mixtures affects human health. Metals have both common and unique sources and routes of exposure, as well as biotransformation and elimination pathways. The development of multi-element analytical technology allows researchers to examine a broad spectrum of metals in their studies; however, their interpretation is complex as they can reflect different windows of exposure and several biomarkers have critical limitations. This review elaborates on more than 500 scientific publications to discuss major sources of exposure, biotransformation and elimination, and biomarkers of exposure and internal dose for 12 metals/metalloids, including 8 non-essential elements (arsenic, barium, cadmium, lead, mercury, nickel, tin, uranium) and 4 essential elements (manganese, molybdenum, selenium, and zinc) commonly used in multi-element analyses. RECENT

findingsWe conclude that not all metal biomarkers are adequate measures of exposure and that understanding the metabolic biotransformation and elimination of metals is key to metal biomarker interpretation. For example, whole blood is a good biomarker of exposure to arsenic, cadmium, lead, mercury, and tin, but it is not a good indicator for barium, nickel, and uranium. For some essential metals, the interpretation of whole blood biomarkers is unclear. Urine is the most commonly used biomarker of exposure across metals but it should not be used to assess lead exposure. Essential metals such as zinc and manganese are tightly regulated by homeostatic processes; thus, elevated levels in urine may reflect body loss and metabolic processes rather than excess exposure. Total urinary arsenic may reflect exposure to both organic and inorganic arsenic, thus, arsenic speciation and adjustment for arsebonetaine are needed in populations with dietary seafood consumption. Hair and nails primarily reflect exposure to organic mercury, except in populations exposed to high levels of inorganic mercury such as in occupational and environmental settings. When selecting biomarkers, it is also critical to consider the exposure window of interest. Most populations are chronically exposed to metals in the low-to-moderate range, yet many biomarkers reflect recent exposures. Toenails are emerging biomarkers in this regard. They are reliable biomarkers of long-term exposure for arsenic, mercury, manganese, and selenium. However, more research is needed to understand the role of nails as a biomarker of exposure to other metals. Similarly, teeth are increasingly used to assess lifelong exposures to several essential and non-essential metals such as lead, including during the prenatal window. As metals epidemiology moves towards embracing a multi-metal/mixtures approach and expanding metal panels to include less commonly studied metals, it is important for researchers to have a strong knowledge base about the metal biomarkers included in their research. This review aims to aid metals researchers in their analysis planning, facilitate sound analytical decision-making, as well as appropriate understanding and interpretation of results.

Indexed as

ArsenicMercurySeleniumUraniumBariumBiomarkersCadmiumFemaleHumansManganeseNickelPregnancyTinZincArsenicBariumBiomarkersCadmiumManganeseMercuryNickelSeleniumTinUraniumZincArsenicBariumBiomarkersCadmiumLeadManganeseMercuryMetalsMolybdenumNickelReviewSeleniumTinUraniumZinc

Identifiers

PMID37337116
PMCPMC10822714
OpenAlexW4381187084

What OpenQuestion holds

Textmetadata
LicenceTDM
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.