Evidence map›Paper›PMID 40246834›Full record

ArticleThe pharmacogenomics journal2025

Similarity of drug targets to human microbiome metaproteome promotes pharmacological promiscuity.

Christopher A Beaudoin, Shannon Norget, Ziad Omran, Sharif Hala, Abdullah H Daqeeq, Philip W J Burnet, Tom L Blundell, Andries J van Tonder

Abstract read
In one paragraph

Article in The pharmacogenomics journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Review
  2. Review
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

8 authors.

Christopher A BeaudoinDepartment of Biochemistry, University of Cambridge, Cambridge, UK. cab233@cam.ac.uk.ORCID 0000-0002-0232-0281
Shannon NorgetDepartment of Psychology, Health & Technology, University of Twente, Enschede, the Netherlands.
Ziad OmranKing Abdullah International Medical Research Center, King Saud Bin Abdelaziz University for Health Sciences, Jeddah, Saudi Arabia.
Sharif HalaBiothreat Department, Public Health Laboratory, Public Health Authority, Riyadh, Saudi Arabia.
Abdullah H DaqeeqDepartment of Anesthesia, International Medical Center, Jeddah, Kingdom of Saudi Arabia.
Philip W J BurnetDepartment of Psychiatry, University of Oxford, Oxford, UK.
Tom L BlundellVictor Phillip Dahdaleh Heart and Lung Research Institute, Biomedical Campus, Trumpington, Cambridge, UK.
Andries J van TonderDepartment of Veterinary Medicine, University of Cambridge, Cambridge, UK. ajv37@cam.ac.uk.ORCID 0000-0002-4380-5250

Funding

Antibiotic Research UK (ANTRUK) ANTSRG 01/2019
6 · The paper itself

Abstract

Similarity between candidate drug targets and human proteins is commonly assessed to minimize the occurrence of side effects. Although numerous drugs have been found to disrupt the health of the human microbiome, no comprehensive comparison between established drug targets and the human microbiome metaproteome has yet been conducted. Therefore, herein, sequence and structure alignments between human and pathogen drug targets and representative human gut, oral, and vaginal microbiome metaproteomes were performed. Both human and pathogen drug targets were found to be similar in sequence, function, structure, and drug binding capacity to proteins in diverse pathogenic and non-pathogenic bacteria from all three microbiomes. The gut metaproteome was identified as particularly susceptible overall to off-target effects. Certain symptoms, such as infections and immune disorders, may be more common among drugs that non-selectively target host microbiota. These findings suggest that similarities between human microbiome metaproteomes and drug target candidates should be routinely checked.

Indexed as

Gastrointestinal MicrobiomeMicrobiotaProteomeBacteriaFemaleHumansMouthProteomicsVaginaProteome

Identifiers

PMID40246834
PMCPMC12006021

What OpenQuestion holds

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Registered trials

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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.