Evidence map›Paper›PMID 39230330›Full record

ReviewEnvironmental health perspectives2024

Seminar: Functional Exposomics and Mechanisms of Toxicity-Insights from Model Systems and NAMs.

Yunjia Lai, Muhammet Ay, Carolina Duarte Hospital, Gary W Miller, Souvarish Sarkar

Abstract readReview
In one paragraph

Review in Environmental health perspectives, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

5 authors.

Yunjia LaiDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, USA.ORCID 0000-0002-1081-0897
Muhammet AyDepartment of Environmental Medicine, University of Rochester Medical Center, Rochester, New York, USA.ORCID 0000-0003-1179-593X
Carolina Duarte HospitalDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, USA.ORCID 0000-0002-6781-1903
Gary W MillerDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York, USA.ORCID 0000-0001-8984-1284
Souvarish SarkarDepartment of Environmental Medicine, University of Rochester Medical Center, Rochester, New York, USA.ORCID 0000-0002-7384-0508

Funding

Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Steven N. Chillrud · 1998 to 2026
$44.7M
VISUAL INDICES OF NEUROTOXICITYP30ES001247 · NIEHS · UNIVERSITY OF ROCHESTER · PI Martha Susiarjo · 1985 to 2026
$42.8M
Genetic Epidemiology and Multi-Omics Analyses in Familial and Sporadic Alzheimer's Disease Among Secular Caribbean Hispanics and Religious OrderR01AG067501 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MAYEUX, RICHARD P, MILLER, GARY W · 2020 to 2024
$11.7M
Epidemiological Integration of Genetic Variants and Metabolomics Profiles in Washington Heights Columbia Aging ProjectRF1AG066107 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MAYEUX, RICHARD P, MILLER, GARY W · 2020 to 2022
$11.4M
U2C Experimental CoreU2CES030163 · NIEHS · EMORY UNIVERSITY · PI MORGAN, EDWARD THOMAS · 2018 to 2021
$3.6M
An in vivo multiplex model to study gene-environment interaction in Parkinson's DiseaseR00ES033723 · NIEHS · UNIVERSITY OF ROCHESTER · PI SARKAR, SOUVARISH · 2023 to 2025
$810k
An in vivo multiplex model to study gene-environment interaction in Parkinson's DiseaseK99ES033723 · NIEHS · BRIGHAM AND WOMEN'S HOSPITAL · PI SARKAR, SOUVARISH · 2022 to 2022
$107k
NCATS NIH HHS UL1 TR001873NIA NIH HHS R01 AG067501NIA NIH HHS RF1 AG066107NIEHS NIH HHS K99 ES033723NIEHS NIH HHS P30 ES001247NIEHS NIH HHS P30 ES009089NIEHS NIH HHS R00 ES033723NIEHS NIH HHS U2C ES030163
6 · The paper itself

Abstract

backgroundSignificant progress has been made over the past decade in measuring the chemical components of the exposome, providing transformative population-scale frameworks in probing the etiologic link between environmental factors and disease phenotypes. While the analytical technologies continue to evolve with reams of data being generated, there is an opportunity to complement exposome-wide association studies (ExWAS) with functional analyses to advance etiologic search at organismal, cellular, and molecular levels.

objectivesExposomics is a transdisciplinary field aimed at enabling discovery-based analysis of the nongenetic factors that contribute to disease, including numerous environmental chemical stressors. While advances in exposure assessment are enhancing population-based discovery of exposome-wide effects and chemical exposure agents, functional screening and elucidation of biological effects of exposures represent the next logical step toward precision environmental health and medicine. In this work, we focus on the use, strategies, and prospects of alternative approaches and model systems to enhance the current human exposomics framework in biomarker search and causal understanding, spanning from bench-based nonmammalian organisms and cell culture to computational new approach methods (NAMs). DISCUSSION: We visit the definition of the functional exposome and exposomics and discuss a need to leverage alternative models as opposed to mammalian animals for delineating exposome-wide health effects. Under the "three Rs" principle of reduction, replacement, and refinement, model systems such as roundworms, fruit flies, zebrafish, and induced pluripotent stem cells (iPSCs) are advantageous over mammals (e.g., rodents or higher vertebrates). These models are cost-effective, and cell-specific genetic manipulations in these models are easier and faster, compared to mammalian models. Meanwhile,

Indexed as

Environmental ExposureExposomeAnimalsBiomarkersEnvironmental HealthHumansBiomarkers

Identifiers

PMID39230330
PMCPMC11373422

What Socratic holds

Textmetadata
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 Socratic graph.