Evidence map›Paper›PMID 34482270›Full record

ArticleEnvironment international2021

Tooth biomarkers to characterize the temporal dynamics of the fetal and early-life exposome.

Miao Yu, Peijun Tu, Georgia Dolios, Priyanthi S Dassanayake, Heather Volk, Craig Newschaffer, M Daniele Fallin, Lisa Croen, Kristen Lyall, Rebecca Schmidt and 4 more

Abstract read
In one paragraph

Article in Environment international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
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

14 authors.

Miao YuDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Peijun TuDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Georgia DoliosDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Priyanthi S DassanayakeDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Heather VolkDepartment of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA.
Craig NewschafferCollege of Health and Human Development, The Pennsylvania State University, University Park, PA 16802, USA.
M Daniele FallinDepartment of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA.
Lisa CroenDivision of Research, Kaiser Permanente Northern California, Oakland, CA 94611, USA.
Kristen LyallA.J. Drexel Autism Institute, Drexel University, Philadelphia, PA 19104, USA.
Rebecca SchmidtDepartment of Public Health Sciences, University of California, Davis, CA, USA.
Irva Hertz-PicciotoDepartment of Public Health Sciences, University of California, Davis, CA, USA.
Christine AustinDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Manish AroraDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. Electronic address: manish.arora@mssm.edu.
Lauren M PetrickDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. Electronic address: lauren.petrick@mssm.edu.

Funding

Untargeted Analysis ResourceU2CES026561 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI WRIGHT, ROBERT O · 2015 to 2025
$24.5M
The Mount Sinai Transdisciplinary Center on Early Environmental ExposuresP30ES023515 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Manish Arora · 2014 to 2026
$21.3M
Untargeted Analysis ResourceU2CES030859 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ARORA, MANISH · 2019 to 2025
$8.2M
Environmental chemical mixtures and metabolomics in autism spectrum disorderR01ES031117 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI PETRICK, LAUREN · 2020 to 2024
$3.3M
Reconstructing early life environmental exposures using tooth biomarkers and their influence on the trajectory of the oral microbiome and oral health in childhoodR01DE029838 · NIDCR · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ADLER, CHRISTINA JANE, PETRICK, LAUREN · 2020 to 2024
$3.3M
Metals Dysregulation, Brain Development, and Autism Spectrum DisorderR01ES029511 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI ANDRA, SYAM S, VOLK, HEATHER E · 2020 to 2024
$2.9M
Determining the Neurodevelopmental Effects of Transition from Breastfeeding to Infant Formula using a Novel BiomarkerR00HD087523 · NICHD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI AUSTIN, CHRISTINE · 2018 to 2020
$695k
Discovery of early life causes of autism spectrum disorder through retrospective metabolomics and proteome analysis of teethR21ES030882 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ANDRA, SYAM S, PETRICK, LAUREN · 2019 to 2020
$466k
NICHD NIH HHS R00 HD087523NIDCR NIH HHS R01 DE029838NIEHS NIH HHS P30 ES023515NIEHS NIH HHS R01 ES029511NIEHS NIH HHS R01 ES031117NIEHS NIH HHS R21 ES030882NIEHS NIH HHS U2C ES026561NIEHS NIH HHS U2C ES030859
6 · The paper itself

Abstract

backgroundTeeth have unique histology that make this biomatrix a time-capsule for retrospective exposure analysis of fetal and early life. However, most analytic methods require pulverizing the whole tooth, which eliminates exposure timing information. Further, the range of chemicals and endogenous exposures that can be measured in teeth has yet to be fully characterized.

methodsWe performed untargeted metabolomics on micro-dissected layers from naturally shed deciduous teeth. Using four liquid-chromatography high-resolution mass spectrometry analytical modes, we profiled small molecules (<1000 Da) from prenatal and postnatal tooth fractions. In addition, we employed linear regression on the tooth fraction pairs from 31 children to identify metabolites that discriminate between prenatal and postnatal exposures.

resultsOf over 10,000 features measured in teeth dentin, 390 unique compounds were annotated from 62 chemical classes. The class with the largest number of compounds was carboxylic acids and their derivatives (36%). Of the annotated exogenous metabolites (phthalates, parabens, perfluoroalkyl compounds, and cotinine) and endogenous metabolites (fatty acids, steroids, carnitines, amino acids, and others), 91 are linked to 256 health conditions through published literature. Differential analysis revealed 267 metabolites significantly different between the prenatal and the postnatal tooth fractions (adj. p-value < 0.05, Bonferroni correction), and 21 metabolites exclusive to the prenatal fraction.

conclusionsThe prenatal and early postnatal exposome revealed from dental biomarkers represents a broad range of endogenous and exogenous metabolites for a comprehensive characterization in environmental health research. Most importantly, this technology provides a direct window into fetal exposures that is not possible by maternal biomarkers. Indeed, we identified several metabolites exclusively in the prenatal fraction, suggesting unique fetal exposures that are markedly different to postnatal exposures. Expansion of databases that include tooth matrix metabolites will strengthen biological interpretation and shed light on exposures during gestation and early life that may be causally linked with later health conditions.

Indexed as

ExposomeBiomarkersChildChromatography, LiquidEnvironmental ExposureFemaleHumansMetabolomicsPregnancyRetrospective StudiesBiomarkersEnvironmentExposomeExposureFetalMetabolomicsPrenatalTooth

Identifiers

PMID34482270
PMCPMC8800489

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.