Evidence map›Paper›PMID 29467300›Full record

ArticleScience translational medicine2018

High-throughput metabolomic analysis predicts mode of action of uncharacterized antimicrobial compounds.

Mattia Zampieri, Balazs Szappanos, Maria Virginia Buchieri, Andrej Trauner, Ilaria Piazza, Paola Picotti, Sébastien Gagneux, Sonia Borrell, Brigitte Gicquel, Joel Lelievre and 2 more

Abstract read
In one paragraph

Article in Science translational medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed, 1 pooled it
–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

71 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Frontiers in bioinformatics · 2026
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  18. The metabolic domestication syndrome of budding yeast.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  19. TheMicrobiology spectrum · 2024
    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

12 authors.

Mattia ZampieriInstitute of Molecular Systems Biology, ETH Zürich, Zürich, Switzerland. zampieri@imsb.biol.ethz.ch.ORCID 0000-0002-9339-068X
Balazs SzappanosInstitute of Molecular Systems Biology, ETH Zürich, Zürich, Switzerland.ORCID 0000-0002-5075-1799
Maria Virginia BuchieriMycobacterial Genetics Unit, Institut Pasteur, 25-28 Rue du Docteur Roux, 75015 Paris, France.ORCID 0000-0001-5957-5210
Andrej TraunerSwiss Tropical and Public Health Institute, Basel, Switzerland.ORCID 0000-0002-6260-9829
Ilaria PiazzaInstitute of Biochemistry, Department of Biology, ETH Zürich, Zürich, Switzerland.
Paola PicottiInstitute of Biochemistry, Department of Biology, ETH Zürich, Zürich, Switzerland.ORCID 0000-0003-1012-9994
Sébastien GagneuxSwiss Tropical and Public Health Institute, Basel, Switzerland.ORCID 0000-0001-7783-9048
Sonia BorrellSwiss Tropical and Public Health Institute, Basel, Switzerland.
Brigitte GicquelMycobacterial Genetics Unit, Institut Pasteur, 25-28 Rue du Docteur Roux, 75015 Paris, France.
Joel LelievreDisease of the Developing World, GlaxoSmithKline, Severo Ochoa, Tres Cantos, Madrid 28760, Spain.ORCID 0000-0001-6574-4957
Balazs PappSynthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, Szeged, Hungary.ORCID 0000-0003-3093-8852
Uwe SauerInstitute of Molecular Systems Biology, ETH Zürich, Zürich, Switzerland.ORCID 0000-0002-5923-0770

Funding

Wellcome Trust 098016
6 · The paper itself

Abstract

Rapidly spreading antibiotic resistance and the low discovery rate of new antimicrobial compounds demand more effective strategies for early drug discovery. One bottleneck in the drug discovery pipeline is the identification of the modes of action (MoAs) of new compounds. We have developed a rapid systematic metabolome profiling strategy to classify the MoAs of bioactive compounds. The method predicted MoA-specific metabolic responses in the nonpathogenic bacterium

Indexed as

Anti-Infective AgentsMass SpectrometryMetabolomicsMicrobial Sensitivity TestsMycobacterium smegmatisAnti-Infective Agents

Identifiers

PMID29467300
PMCPMC6544516

What OpenQuestion holds

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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.