Evidence map›Paper›PMID 35010832›Full record

ReviewInternational journal of environmental research and public health2022

Integrated Genomic and Bioinformatics Approaches to Identify Molecular Links between Endocrine Disruptors and Adverse Outcomes.

Jacopo Umberto Verga, Matthew Huff, Diarmuid Owens, Bethany J Wolf, Gary Hardiman

Open access · goldAbstract readReview
In one paragraph

Review in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 25% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. 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

5 authors at 3 institutions in 3 countries.

Jacopo Umberto VergaDipartimento di Scienze della Vita e dell'Ambiente, Università Politecnica delle Marche, 60131 Ancona, Italy.ORCID 0000-0003-3814-5937
Matthew HuffDepartment of Medicine, Medical University of South Carolina, Charleston, SC 29425, USA.
Diarmuid OwensSchool of Biological Sciences, Institute for Global Food Security, Queens University Belfast, Belfast BT9 5DL, UK.
Bethany J WolfDepartment of Public Health Sciences, Medical University of South Carolina, Charleston, SC 29425, USA.ORCID 0000-0002-7124-5158
Gary HardimanSchool of Biological Sciences, Institute for Global Food Security, Queens University Belfast, Belfast BT9 5DL, UK.ORCID 0000-0003-4558-0400
Medical University of South Carolina · USQueen's University Belfast · GBMarche Polytechnic University · IT

Funding

Subproject Title: Clinical Research Education, Mentoring and Career Development CoreU54GM104941 · NIGMS · UNIVERSITY OF DELAWARE · PI Gregory E Hicks · 2013 to 2026
$60.5M
South Carolina Clinical & Translational Research Institute (SCTR)UL1TR001450 · NCATS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BRADY, KATHLEEN T., FLUME, PATRICK A · 2015 to 2024
$41.1M
Sociobiological Responses to Stress in Prostate Cancer SurvivorsU54MD010706 · NIMHD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI LENERT, LESLIE A. · 2016 to 2020
$8.0M
The Genetic Basis of Opioid Dependence Vulnerablility in a Rodent ModelU01DA045300 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Christine Cheng, Dongjun Chung · 2018 to 2026
$6.1M
NCATS NIH HHS UL1 TR001450NIDA NIH HHS U01DA045300NIGMS NIH HHS U54 GM104941NIH HHS U54MD010706
6 · The paper itself

Abstract

Exposure to Endocrine Disrupting Chemicals (EDC) has been linked with several adverse outcomes. In this review, we examine EDCs that are pervasive in the environment and are of concern in the context of human, animal, and environmental health. We explore the consequences of EDC exposure on aquatic life, terrestrial animals, and humans. We focus on the exploitation of genomics technologies and in particular whole transcriptome sequencing. Genome-wide analyses using RNAseq provides snap shots of cellular, tissue and whole organism transcriptomes under normal physiological and EDC perturbed conditions. A global view of gene expression provides highly valuable information as it uncovers gene families or more specifically, pathways that are affected by EDC exposures, but also reveals those that are unaffected. Hypotheses about genes with unknown functions can also be formed by comparison of their expression levels with genes of known function. Risk assessment strategies leveraging genomic technologies and the development of toxicology databases are explored. Finally, we review how the Adverse Outcome Pathway (AOP) has exploited this high throughput data to provide a framework for toxicology studies.

Indexed as

Endocrine DisruptorsAnimalsComputational BiologyEnvironmental HealthGenome-Wide Association StudyGenomicsHumansEndocrine DisruptorsAdverse Outcome Pathway (AOP)DNA microarraysEndocrine Disrupting Chemicals (EDC)Key Events (KE)Molecular Initiating Event (MIE)risk assessmentRNA sequencing

Identifiers

PMID35010832
PMCPMC8744944
OpenAlexW4206765614

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.