Evidence map›Paper›PMID 33317022›Full record

SynthesisInternational journal of molecular sciences2020

Systematic Review of Multi-Omics Approaches to Investigate Toxicological Effects in Macrophages.

Isabel Karkossa, Stefanie Raps, Martin von Bergen, Kristin Schubert

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

13 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Synergistic Antitumor Effect ofMolecules (Basel, Switzerland) · 2023
    Article
  7. Article
  8. Review
  9. Review
  10. Essential Oils fromAntioxidants (Basel, Switzerland) · 2021
    Article
  11. Article
  12. Review
  13. 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

4 authors at 1 institution in 1 country.

Isabel KarkossaDepartment of Molecular Systems Biology, Helmholtz-Centre for Environmental Research-UFZ, 04318 Leipzig, Germany.ORCID 0000-0003-2781-1877
Stefanie RapsDepartment of Molecular Systems Biology, Helmholtz-Centre for Environmental Research-UFZ, 04318 Leipzig, Germany.
Martin von BergenDepartment of Molecular Systems Biology, Helmholtz-Centre for Environmental Research-UFZ, 04318 Leipzig, Germany.
Kristin SchubertDepartment of Molecular Systems Biology, Helmholtz-Centre for Environmental Research-UFZ, 04318 Leipzig, Germany.ORCID 0000-0003-4365-084X
Helmholtz Centre for Environmental Research · DE

Funding

Helmholtz-Centre for Environmental Research - UFZ CITE
6 · The paper itself

Abstract

Insights into the modes of action (MoAs) of xenobiotics are of utmost importance for the definition of adverse outcome pathways (AOPs), which are essential for a mechanism-based risk assessment. A well-established strategy to reveal MoAs of xenobiotics is the use of omics. However, often an even more comprehensive approach is needed, which can be achieved using multi-omics. Since the immune system plays a central role in the defense against foreign substances and pathogens, with the innate immune system building a first barrier, we systematically reviewed multi-omics studies investigating the effects of xenobiotics on macrophages. Surprisingly, only nine publications were identified, combining proteomics with transcriptomics or metabolomics. We summarized pathways and single proteins, transcripts, or metabolites, which were described to be affected upon treatment with xenobiotics in the reviewed studies, thus revealing a broad range of effects. In summary, we show that macrophages are a relevant model system to investigate the toxicological effects induced by xenobiotics. Furthermore, the multi-omics approaches led to a more comprehensive overview compared to only one omics layer with slight advantages for combinations that complement each other directly, e.g., proteome and metabolome.

Indexed as

AnimalsGenomicsHumansMacrophagesMetabolomicsProteomeToxicity TestsTranscriptomeXenobioticsProteomeXenobioticsmacrophagesmulti-omicstoxicologyxenobiotics

Identifiers

PMID33317022
PMCPMC7764599
OpenAlexW3112825095

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.