Evidence map›Paper›PMID 36851063›Full record

ArticleToxics2023

Prediction of Molecular Initiating Events for Adverse Outcome Pathways Using High-Throughput Identification of Chemical Targets.

Veronica Lizano-Fallas, Ana Carrasco Del Amor, Susana Cristobal

Open access · goldAbstract read
In one paragraph

Article in Toxics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.8field-weighted citation impact, top 13% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Computational and structural biotechnology journal · 2025
    Article
  5. 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

3 authors at 1 institution in 2 countries.

Veronica Lizano-FallasDepartment of Biomedical and Clinical Sciences, Cell Biology, Faculty of Medicine, Linköping University, 581 85 Linköping, Sweden.
Ana Carrasco Del AmorDepartment of Biomedical and Clinical Sciences, Cell Biology, Faculty of Medicine, Linköping University, 581 85 Linköping, Sweden.ORCID 0000-0002-5145-9327
Susana CristobalDepartment of Biomedical and Clinical Sciences, Cell Biology, Faculty of Medicine, Linköping University, 581 85 Linköping, Sweden.ORCID 0000-0002-3894-2218
Linköping University · SE

Funding

Basque Government Research IT-476-22Basque Government Research IT-971-16ERA-NET Marine Biotechnology project CYANOBESITY 2016-02004FORMAS 2016-02004Horizon 2020 project GOLIATH 825489IKERBASQUE, Basque Foundation for Science NAMagnus Bergvalls Foundations NAWorld Bank counterpart - University of Costa Rica OAICE-75-2017
6 · The paper itself

Abstract

The impact of exposure to multiple chemicals raises concerns for human and environmental health. The adverse outcome pathway method offers a framework to support mechanism-based assessment in environmental health starting by describing which mechanisms are triggered upon interaction with different stressors. The identification of the molecular initiating event and the molecular interaction between a chemical and a protein target is still a challenge for the development of adverse outcome pathways. The cellular response to chemical exposure studied with omics could not directly identify the protein targets. However, recent mass spectrometry-based methods are offering a proteome-wide identification of protein targets interacting with s but unrevealing a molecular initiating event from a set of targets is still dependent on available knowledge. Here, we directly coupled the target identification findings from the proteome integral solubility alteration assay with an analytical hierarchy process for the prediction of a prioritized molecular initiating event. We demonstrate the applicability of this combination of methodologies with a test compound (TCDD), and it could be further studied and integrated into AOPs. From the eight protein targets identified by the proteome integral solubility alteration assay after analyzing 2824 human hepatic proteins, the analytical hierarchy process can select the most suitable protein for an AOP. Our combined method solves the missing links between high-throughput target identification and prediction of the molecular initiating event. We anticipate its utility to decipher new molecular initiating events and support more sustainable methodologies to gain time and resources in chemical assessment.

Indexed as

adverse outcome pathwayanalytic hierarchy processchemical targetmolecular initiating eventmulti-criteria decision-making analysispredictive toxicologyproteome integral solubility alteration assayTCDDthermal proteome profiling

Identifiers

PMID36851063
PMCPMC9965981
OpenAlexW4321377522

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.