Evidence map›Paper›PMID 34125125›Full record

ReviewMolecular omics2021

Metabolomics in infectious diseases and drug discovery.

Vivian Tounta, Yi Liu, Ashleigh Cheyne, Gerald Larrouy-Maumus

Open access · hybridAbstract readReview
In one paragraph

Review in Molecular omics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed
9.9field-weighted citation impact, top 1% 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

71 citing papers in PubMed, 157 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Metabolic footprint of sepsis and septic shock: A narrative review.World journal of critical care medicine · 2026
    Review
  6. Review
  7. Review
  8. Observational
  9. Review
  10. Review
  11. Co-inoculation of broilers byMicrobiology spectrum · 2026
    Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. Article

11 more citing papers are in PubMed but not listed here.

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.

Vivian TountaMRC Centre for Molecular Bacteriology and Infection, Department of Life Sciences, Faculty of Natural Sciences, Imperial College London, London, UK. g.larrouy-maumus@imperial.ac.uk.
Yi Liu
Ashleigh Cheyne
Gerald Larrouy-Maumus
Transnational Press London

Funding

Biotechnology and Biological Sciences Research Council BB/M011178/1Medical Research CouncilWellcome TrustWellcome Trust 105603/Z/14/Z
6 · The paper itself

Abstract

Metabolomics has emerged as an invaluable tool that can be used along with genomics, transcriptomics and proteomics to understand host-pathogen interactions at small-molecule levels. Metabolomics has been used to study a variety of infectious diseases and applications. The most common application of metabolomics is for prognostic and diagnostic purposes, specifically the screening of disease-specific biomarkers by either NMR-based or mass spectrometry-based metabolomics. In addition, metabolomics is of great significance for the discovery of druggable metabolic enzymes and/or metabolic regulators through the use of state-of-the-art flux analysis, for example, via the elucidation of metabolic mechanisms. This review discusses the application of metabolomics technologies to biomarker screening, the discovery of drug targets in infectious diseases such as viral, bacterial and parasite infections and immunometabolomics, highlights the challenges associated with accessing metabolite compartmentalization and discusses the available tools for determining local metabolite concentrations.

Indexed as

BiomarkersCommunicable DiseasesDrug DiscoveryHumansMetabolic Networks and PathwaysMetabolomicsSmall Molecule LibrariesBiomarkersSmall Molecule Libraries

Identifiers

PMID34125125
PMCPMC8202295
OpenAlexW3156020921

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.