Evidence map›Paper›PMID 41012335›Full record

ReviewToxics2025

Integration of "Omics"-Based Approaches in Environmental Risk Assessment to Establish Cause and Effect Relationships: A Review.

Kirsty F Smith, Xavier Pochon, Steven D Melvin, Thomas T Wheeler, Louis A Tremblay

Abstract readReview
In one paragraph

Review in Toxics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. 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.

Kirsty F SmithCawthron Institute, Private Bag 2, Nelson 7042, New Zealand.
Xavier PochonCawthron Institute, Private Bag 2, Nelson 7042, New Zealand.
Steven D MelvinAustralian Rivers Institute, Griffith University Gold Coast, Building G51, Edmund Rice Drive, Southport, QLD 4215, Australia.
Thomas T WheelerCawthron Institute, Private Bag 2, Nelson 7042, New Zealand.ORCID 0000-0003-1442-4165
Louis A TremblayCawthron Institute, Private Bag 2, Nelson 7042, New Zealand.ORCID 0000-0002-3586-3995

Funding

New Zealand Ministry of Business Innovation and Employment C03X1802New Zealand Ministry of Business Innovation and Employment CAWX1708
6 · The paper itself

Abstract

Marine and freshwater environments are under increasing pressure from anthropogenic stressors. The resulting impacts on exposed ecosystems are complex and challenging to characterise. The effects may be subtle and exhibited over long time periods. Effective and robust approaches are required to characterise the physiological and genetic processes that are impacted by pollutants to assess how populations and ecosystems may be adversely affected and at risk. The objective of the review is to provide an overview of "omics" methodologies used to assess the risk of stressors on exposed biota. This review covers the development of key omics approaches and how they have been used to contribute towards improved knowledge about the effects of environmental stressors, from molecular to whole-organism and community levels of biological organisation. We provide insights into how ecotoxicogenomics approaches can be used for various aspects of environmental risk assessment by characterising toxicological mechanisms of action. This information can be used to confirm cause-and-effect relationships required to better manage risks and protect the integrity and functionality of ecosystems.

Indexed as

Aotearoa New Zealandbiomarkersepigeneticsevolutionary toxicologygenomicsmechanism of toxicitymetabolomicsproteomicstranscriptomics

Identifiers

PMID41012335
PMCPMC12473558

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.