Evidence map›Paper›PMID 31408434›Full record

ReviewReviews on environmental health2019

Application of metabolomics to characterize environmental pollutant toxicity and disease risks.

Pan Deng, Xusheng Li, Michael C Petriello, Chunyan Wang, Andrew J Morris, Bernhard Hennig

Open access · greenAbstract readReview
In one paragraph

Review in Reviews on environmental health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 6% 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 71 citations in OpenAlex.

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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 2 institutions in 2 countries.

Pan DengSuperfund Research Center, University of Kentucky, Lexington, KY, USA.
Xusheng LiSuperfund Research Center, University of Kentucky, Lexington, KY, USA.
Michael C PetrielloSuperfund Research Center, University of Kentucky, Lexington, KY, USA.
Chunyan WangSuperfund Research Center, University of Kentucky, Lexington, KY, USA.
Andrew J MorrisSuperfund Research Center, University of Kentucky, Lexington, KY, USA.
Bernhard HennigSuperfund Research Center, University of Kentucky, Lexington, KY, USA.
University of Kentucky · USLexington VA Health Care System · US

Funding

Vascular Mechanisms of PCB-Induced Brain MetastasesP42ES007380 · NIEHS · UNIVERSITY OF KENTUCKY · PI PENNELL, KELLY G · 1997 to 2024
$47.8M
Pilot Project ProgramP30ES026529 · NIEHS · UNIVERSITY OF KENTUCKY · PI Jason Unrine · 2017 to 2026
$15.4M
TMAO is a biomarker of dioxin-like pollutant exposure and cardiometabolic diseaseK99ES028734 · NIEHS · UNIVERSITY OF KENTUCKY · PI PETRIELLO, MICHAEL CURTIS · 2018 to 2018
$96k
NIEHS NIH HHS K99 ES028734NIEHS NIH HHS P30 ES026529NIEHS NIH HHS P42 ES007380
6 · The paper itself

Abstract

The increased incidence of non-communicable human diseases may be attributed, at least partially, to exposures to toxic chemicals such as persistent organic pollutants (POPs), air pollutants and heavy metals. Given the high mortality and morbidity of pollutant exposure associated diseases, a better understanding of the related mechanisms of toxicity and impacts on the endogenous host metabolism are needed. The metabolome represents the collection of the intermediates and end products of cellular processes, and is the most proximal reporter of the body's response to environmental exposures and pathological processes. Metabolomics is a powerful tool for studying how organisms interact with their environment and how these interactions shape diseases related to pollutant exposure. This mini review discusses potential biological mechanisms that link pollutant exposure to metabolic disturbances and chronic human diseases, with a focus on recent studies that demonstrate the application of metabolomics as a tool to elucidate biochemical modes of actions of various environmental pollutants. In addition, classes of metabolites that have been shown to be modulated by multiple environmental pollutants will be discussed with an emphasis on their use as potential early biomarkers of disease risks. Taken together, metabolomics is a useful and versatile tool for characterizing the disease risks and mechanisms associated with various environmental pollutants.

Indexed as

Environmental ExposureEnvironmental PollutantsHumansMetabolomicsNoncommunicable DiseasesEnvironmental Pollutantsdiseaseheavy metalmetabolomicspollutantPOPtoxicity

Identifiers

PMID31408434
PMCPMC6915040
OpenAlexW2969101040

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.