Evidence map›Paper›PMID 36376331›Full record

ArticleScientific data2022

Multi-omics HeCaToS dataset of repeated dose toxicity for cardiotoxic & hepatotoxic compounds.

Marcha Verheijen, Ugis Sarkans, Witold Wolski, Danyel Jennen, Florian Caiment, Jos Kleinjans, HeCaToS Consortium

Abstract readDataset
In one paragraph

Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  3. Review
  4. Article
  5. Review
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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

7 authors.

Marcha VerheijenDepartment of Toxicogenomics, GROW - School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands. marcha.verheijen@maastrichtuniversity.nl.
Ugis SarkansEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton, UK.ORCID 0000-0001-9227-8488
Witold WolskiFunctional Genomics Center, ETH Zurich, Zurich, Switzerland.
Danyel JennenDepartment of Toxicogenomics, GROW - School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands.
Florian CaimentDepartment of Toxicogenomics, GROW - School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands.
Jos KleinjansDepartment of Toxicogenomics, GROW - School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands.
HeCaToS Consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The data currently described was generated within the EU/FP7 HeCaToS project (Hepatic and Cardiac Toxicity Systems modeling). The project aimed to develop an in silico prediction system to contribute to drug safety assessment for humans. For this purpose, multi-omics data of repeated dose toxicity were obtained for 10 hepatotoxic and 10 cardiotoxic compounds. Most data were gained from in vitro experiments in which 3D microtissues (either hepatic or cardiac) were exposed to a therapeutic (physiologically relevant concentrations calculated through PBPK-modeling) or a toxic dosing profile (IC20 after 7 days). Exposures lasted for 14 days and samples were obtained at 7 time points (therapeutic doses: 2-8-24-72-168-240-336 h; toxic doses 0-2-8-24-72-168-240 h). Transcriptomics (RNA sequencing & microRNA sequencing), proteomics (LC-MS), epigenomics (MeDIP sequencing) and metabolomics (LC-MS & NMR) data were obtained from these samples. Furthermore, functional endpoints (ATP content, Caspase3/7 and O2 consumption) were measured in exposed microtissues. Additionally, multi-omics data from human biopsies from patients are available. This data is now being released to the scientific community through the BioStudies data repository ( https://www.ebi.ac.uk/biostudies/ ).

Indexed as

CardiotoxicityDrug-Related Side Effects and Adverse ReactionsEpigenomicsHumansMetabolomicsProteomicsTranscriptome

Identifiers

PMID36376331
PMCPMC9663581

What OpenQuestion holds

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Registered trials

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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.