Evidence map›Paper›PMID 38149779›Full record

ArticleEnvironmental science & technology2024

Dioxin(-like)-Related Biological Effects through Integrated Chemical-wide and Metabolome-wide Analyses.

Yujia Zhao, Jeroen Meijer, Douglas I Walker, Juni Kim, Lützen Portengen, Dean P Jones, Fatemeh Saberi Hosnijeh, Jelle Vlaanderen, Roel Vermeulen

Open access · hybridAbstract read
In one paragraph

Article in Environmental science & technology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

9 authors at 2 institutions in 2 countries.

Yujia ZhaoInstitute for Risk Assessment Sciences, Utrecht University, Utrecht 3584 CM, The Netherlands.ORCID 0000-0002-5275-0036
Jeroen MeijerInstitute for Risk Assessment Sciences, Utrecht University, Utrecht 3584 CM, The Netherlands.
Douglas I WalkerGangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, United States.
Juni KimGangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, United States.
Lützen PortengenInstitute for Risk Assessment Sciences, Utrecht University, Utrecht 3584 CM, The Netherlands.
Dean P JonesDivision of Pulmonary, Allergy, Critical Care and Sleep Medicine, School of Medicine, Emory University, Atlanta, Georgia 30322, United States.
Fatemeh Saberi HosnijehInstitute for Risk Assessment Sciences, Utrecht University, Utrecht 3584 CM, The Netherlands.
Jelle VlaanderenInstitute for Risk Assessment Sciences, Utrecht University, Utrecht 3584 CM, The Netherlands.
Roel VermeulenInstitute for Risk Assessment Sciences, Utrecht University, Utrecht 3584 CM, The Netherlands.ORCID 0000-0003-4082-8163
Utrecht University · NLEmory University · US

Funding

Mapping the blood cancer exposome for environmental risk profiles of mature B-cell neoplasmsR01ES032831 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Douglas Ian Walker · 2022 to 2026
$2.3M
NIEHS NIH HHS R01 ES032831
6 · The paper itself

Abstract

Dioxin(-like) exposures are linked to adverse health effects, including cancer. However, metabolic alterations induced by these chemicals remain largely unknown. Beyond known dioxin(-like) compounds, we leveraged a chemical-wide approach to assess chlorinated co-exposures and parent compound products [termed dioxin(-like)-related compounds] among 137 occupational workers. Endogenous metabolites were profiled by untargeted metabolomics, namely, reversed-phase chromatography with negative electrospray ionization (C18-negative) and hydrophilic interaction liquid chromatography with positive electrospray ionization (HILIC-positive). We performed a metabolome-wide association study to select dioxin(-like) associated metabolic features using a 20% false discovery rate threshold. Metabolic features were then characterized by pathway enrichment analyses. There are no significant features associated with polychlorinated dibenzo-

Indexed as

DioxinsNeoplasmsPolychlorinated BiphenylsPolychlorinated DibenzodioxinsHumansMetabolomeDioxinsPolychlorinated BiphenylsPolychlorinated Dibenzodioxinsbiological pathwayschemical-wide association studydioxin(-like) exposuresexposomemetabolome-wide association studyoccupational population

Identifiers

PMID38149779
PMCPMC10785760
OpenAlexW4390267374

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.