Evidence map›Paper›PMID 26833150›Full record

ArticleAntimicrobial agents and chemotherapy2016

Untargeted Metabolomics To Ascertain Antibiotic Modes of Action.

Isabel M Vincent, David E Ehmann, Scott D Mills, Manos Perros, Michael P Barrett

Open access · hybridAbstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

48 citing papers in PubMed, 96 citations in OpenAlex.

  1. Article
  2. Antibiotic resistance inFrontiers in microbiology · 2026
    Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
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  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Overview on Strategies and Assays for Antibiotic Discovery.Pharmaceuticals (Basel, Switzerland) · 2022
    Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article
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 at 2 institutions in 2 countries.

Isabel M VincentUniversity of Glasgow, Glasgow, United Kingdom.
David E EhmannAstraZeneca, Waltham, Massachusetts, USA.
Scott D MillsAstraZeneca, Waltham, Massachusetts, USA.
Manos PerrosAstraZeneca, Waltham, Massachusetts, USA.
Michael P BarrettUniversity of Glasgow, Glasgow, United Kingdom Michael.barrett@glasgow.ac.uk.
AstraZeneca (United States) · USUniversity of Glasgow · GB

Funding

Wellcome TrustWellcome Trust 104111/Z/14/Z
6 · The paper itself

Abstract

Deciphering the mode of action (MOA) of new antibiotics discovered through phenotypic screening is of increasing importance. Metabolomics offers a potentially rapid and cost-effective means of identifying modes of action of drugs whose effects are mediated through changes in metabolism. Metabolomics techniques also collect data on off-target effects and drug modifications. Here, we present data from an untargeted liquid chromatography-mass spectrometry approach to identify the modes of action of eight compounds: 1-[3-fluoro-4-(5-methyl-2,4-dioxo-pyrimidin-1-yl)phenyl]-3-[2-(trifluoromethyl)phenyl]urea (AZ1), 2-(cyclobutylmethoxy)-5'-deoxyadenosine, triclosan, fosmidomycin, CHIR-090, carbonyl cyanidem-chlorophenylhydrazone (CCCP), 5-chloro-2-(methylsulfonyl)-N-(1,3-thiazol-2-yl)-4-pyrimidinecarboxamide (AZ7), and ceftazidime. Data analysts were blind to the compound identities but managed to identify the target as thymidylate kinase for AZ1, isoprenoid biosynthesis for fosmidomycin, acyl-transferase for CHIR-090, and DNA metabolism for 2-(cyclobutylmethoxy)-5'-deoxyadenosine. Changes to cell wall metabolites were seen in ceftazidime treatments, although other changes, presumably relating to off-target effects, dominated spectral outputs in the untargeted approach. Drugs which do not work through metabolic pathways, such as the proton carrier CCCP, have no discernible impact on the metabolome. The untargeted metabolomics approach also revealed modifications to two compounds, namely, fosmidomycin and AZ7. An untreated control was also analyzed, and changes to the metabolome were seen over 4 h, highlighting the necessity for careful controls in these types of studies. Metabolomics is a useful tool in the analysis of drug modes of action and can complement other technologies already in use.

Indexed as

MetabolomicsAcyltransferasesAdenosineAnti-Bacterial AgentsCarbonyl Cyanide m-Chlorophenyl HydrazoneCeftazidimeCell WallChromatography, LiquidDNA, BacterialEscherichia coliFosfomycinGene ExpressionHEK293 CellsHumansHydroxamic AcidsMass SpectrometryAcyltransferasesAdenosineAnti-Bacterial AgentsCarbonyl Cyanide m-Chlorophenyl HydrazoneCeftazidimeCHIR 090DNA, BacterialdTMP kinaseFosfomycinfosmidomycinHydroxamic AcidsNucleoside-Phosphate KinasePyrimidinesTerpenesThreonineTriclosan

Identifiers

PMID26833150
PMCPMC4808186
OpenAlexW2267402813

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.