Evidence map›Paper›PMID 37537271›Full record

ArticleCommunications biology2023

Extensive screening reveals previously undiscovered aminoglycoside resistance genes in human pathogens.

David Lund, Roelof Dirk Coertze, Marcos Parras-Moltó, Fanny Berglund, Carl-Fredrik Flach, Anna Johnning, D G Joakim Larsson, Erik Kristiansson

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

17 citing papers in PubMed, 25 citations in OpenAlex.

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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 at 3 institutions in 1 country.

David LundDepartment of Mathematical Sciences, Chalmers University of Technology and University of Gothenburg, Gothenburg, Sweden.ORCID http://orcid.org/0000-0003-4075-7529
Roelof Dirk CoertzeCentre for Antibiotic Resistance Research (CARe), University of Gothenburg, Gothenburg, Sweden.
Marcos Parras-MoltóDepartment of Mathematical Sciences, Chalmers University of Technology and University of Gothenburg, Gothenburg, Sweden.
Fanny BerglundCentre for Antibiotic Resistance Research (CARe), University of Gothenburg, Gothenburg, Sweden.ORCID http://orcid.org/0000-0002-8528-8095
Carl-Fredrik FlachCentre for Antibiotic Resistance Research (CARe), University of Gothenburg, Gothenburg, Sweden.ORCID http://orcid.org/0000-0002-4101-5095
Anna JohnningDepartment of Mathematical Sciences, Chalmers University of Technology and University of Gothenburg, Gothenburg, Sweden.ORCID http://orcid.org/0000-0003-2185-2432
D G Joakim LarssonCentre for Antibiotic Resistance Research (CARe), University of Gothenburg, Gothenburg, Sweden.ORCID http://orcid.org/0000-0002-5496-0328
Erik KristianssonDepartment of Mathematical Sciences, Chalmers University of Technology and University of Gothenburg, Gothenburg, Sweden. erik.kristiansson@chalmers.se.ORCID http://orcid.org/0000-0002-8609-2414
University of Gothenburg · SEChalmers University of Technology · SEFraunhofer Chalmers Research Centre for Industrial Mathematics · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibiotic resistance is a growing threat to human health, caused in part by pathogens accumulating antibiotic resistance genes (ARGs) through horizontal gene transfer. New ARGs are typically not recognized until they have become widely disseminated, which limits our ability to reduce their spread. In this study, we use large-scale computational screening of bacterial genomes to identify previously undiscovered mobile ARGs in pathogens. From ~1 million genomes, we predict 1,071,815 genes encoding 34,053 unique aminoglycoside-modifying enzymes (AMEs). These cluster into 7,612 families (<70% amino acid identity) of which 88 are previously described. Fifty new AME families are associated with mobile genetic elements and pathogenic hosts. From these, 24 of 28 experimentally tested AMEs confer resistance to aminoglycoside(s) in Escherichia coli, with 17 providing resistance above clinical breakpoints. This study greatly expands the range of clinically relevant aminoglycoside resistance determinants and demonstrates that computational methods enable early discovery of potentially emerging ARGs.

Indexed as

AminoglycosidesDrug Resistance, BacterialAnti-Bacterial AgentsEscherichia coliGenome, BacterialHumansAminoglycosidesAnti-Bacterial Agents

Identifiers

PMID37537271
PMCPMC10400643
OpenAlexW4385520644

What OpenQuestion holds

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LicenceCC BY
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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.