Evidence map›Paper›PMID 27591027›Full record

ReviewTranslational research : the journal of laboratory and clinical medicine2017

Gut microbiome interactions with drug metabolism, efficacy, and toxicity.

Ian D Wilson, Jeremy K Nicholson

Open access · greenAbstract readReview
In one paragraph

Review in Translational research : the journal of laboratory and clinical medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 337 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
337citing papers in PubMed, 1 pooled it
38.6field-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

337 citing papers in PubMed, 1 synthesis or guideline pooled it, 617 citations in OpenAlex.

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277 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

2 authors at 1 institution in 1 country.

Ian D WilsonBiomolecular Medicine, Division of Computational and Systems Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College, London, UK. Electronic address: ianwilsonprof@gmail.com.
Jeremy K NicholsonBiomolecular Medicine, Division of Computational and Systems Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College, London, UK.
Imperial College London · GB

Funding

Wellcome Trust 104933
6 · The paper itself

Abstract

The gut microbiota has both direct and indirect effects on drug and xenobiotic metabolisms, and this can have consequences for both efficacy and toxicity. Indeed, microbiome-driven drug metabolism is essential for the activation of certain prodrugs, for example, azo drugs such as prontosil and neoprontosil resulting in the release of sulfanilamide. In addition to providing a major source of reductive metabolizing capability, the gut microbiota provides a suite of additional reactions including acetylation, deacylation, decarboxylation, dehydroxylation, demethylation, dehalogenation, and importantly, in the context of certain types of drug-related toxicity, conjugates hydrolysis reactions. In addition to direct effects, the gut microbiota can affect drug metabolism and toxicity indirectly via, for example, the modulation of host drug metabolism and disposition and competition of bacterial-derived metabolites for xenobiotic metabolism pathways. Also, of course, the therapeutic drugs themselves can have effects, both intended and unwanted, which can impact the health and composition of the gut microbiota with unforeseen consequences.

Indexed as

Gastrointestinal MicrobiomeBacteriaDrug-Related Side Effects and Adverse ReactionsHumansPharmaceutical PreparationsTreatment OutcomeXenobioticsPharmaceutical PreparationsXenobiotics

Identifiers

PMID27591027
PMCPMC5718288
OpenAlexW2517182458

What OpenQuestion holds

Textmetadata
LicenceTDM
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.