Evidence map›Paper›PMID 33734582›Full record

ReviewMolecular systems biology2021

Towards a mechanistic understanding of reciprocal drug-microbiome interactions.

Michael Zimmermann, Kiran Raosaheb Patil, Athanasios Typas, Lisa Maier

Open access · goldAbstract readReview
In one paragraph

Review in Molecular systems biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed
7.0field-weighted citation impact, top 2% 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

67 citing papers in PubMed, 112 citations in OpenAlex.

  1. Trial
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  9. SET-M33 peptide as a selectiveMicrobiology spectrum · 2026
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7 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 3 institutions in 2 countries.

Michael ZimmermannStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID 0000-0002-5797-3589
Kiran Raosaheb PatilStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID 0000-0002-6166-8640
Athanasios TypasStructural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID 0000-0002-0797-9018
Lisa MaierInterfaculty Institute of Microbiology and Infection Medicine, University of Tübingen, Tübingen, Germany.ORCID 0000-0002-6473-4762
European Molecular Biology Laboratory · DEUniversity of Cambridge · GBUniversity of Tübingen · DE

Funding

Medical Research Council MC_UU_00025/11
6 · The paper itself

Abstract

Broad-spectrum antibiotics target multiple gram-positive and gram-negative bacteria, and can collaterally damage the gut microbiota. Yet, our knowledge of the extent of damage, the antibiotic activity spectra, and the resistance mechanisms of gut microbes is sparse. This limits our ability to mitigate microbiome-facilitated spread of antibiotic resistance. In addition to antibiotics, non-antibiotic drugs affect the human microbiome, as shown by metagenomics as well as in vitro studies. Microbiome-drug interactions are bidirectional, as microbes can also modulate drugs. Chemical modifications of antibiotics mostly function as antimicrobial resistance mechanisms, while metabolism of non-antibiotics can also change the drugs' pharmacodynamic, pharmacokinetic, and toxic properties. Recent studies have started to unravel the extensive capacity of gut microbes to metabolize drugs, the mechanisms, and the relevance of such events for drug treatment. These findings raise the question whether and to which degree these reciprocal drug-microbiome interactions will differ across individuals, and how to take them into account in drug discovery and precision medicine. This review describes recent developments in the field and discusses future study areas that will benefit from systems biology approaches to better understand the mechanistic role of the human gut microbiota in drug actions.

Indexed as

Drug InteractionsMicrobiotaAnimalsBacteriaDisease Models, AnimalHost-Pathogen InteractionsHumansMetagenomicsSystems Biologyantibioticsantimicrobialshuman gut microbiomemetagenomicsmicrobial community

Identifiers

PMID33734582
PMCPMC7970330
OpenAlexW3138837064

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.