Evidence map›Paper›PMID 32258127›Full record

Trial reportBioMed research international2020

Abundance of Multidrug Resistance Efflux Pumps in the Urinary Metagenome of Kidney Transplant Patients.

Asha Rani, Ravi Ranjan, Ahmed A Metwally, Daniel C Brennan, Patricia W Finn, David L Perkins

Open access · hybridAbstract readClinical TrialMulticenter Study
In one paragraph

Trial report in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 60% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 2 institutions in 1 country.

Asha RaniDepartment of Medicine, University of Illinois at Chicago, Chicago, IL 60612, USA.ORCID https://orcid.org/0000-0002-8556-4715
Ravi RanjanDepartment of Medicine, University of Illinois at Chicago, Chicago, IL 60612, USA.ORCID https://orcid.org/0000-0002-8768-549X
Ahmed A MetwallyDepartment of Medicine, University of Illinois at Chicago, Chicago, IL 60612, USA.
Daniel C BrennanDepartment of Medicine, Johns Hopkins School of Medicine, Baltimore, MD 21287, USA.
Patricia W FinnDepartment of Bioengineering, University of Illinois at Chicago, Chicago, IL 60612, USA.
David L PerkinsDepartment of Bioengineering, University of Illinois at Chicago, Chicago, IL 60612, USA.ORCID https://orcid.org/0000-0002-0164-6036
University of Illinois Chicago · USJohns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibiotic resistance including the emergence of multidrug resistant microbes has become a public health crisis. In this study, we analyzed the antibiotic resistance genes (ARGs) in the urinary metagenome of the kidney transplant and healthy subjects using metagenomic shotgun sequencing. Our data suggest an increased abundance of antibiotic resistance genes in the kidney transplant subjects. In addition, the antibiotic resistance genes identified in the transplant subjects were predominantly composed of multidrug efflux pumps (MDEPs) which are evolutionarily ancient, commonly encoded on chromosomes rather than plasmids, and have a low rate of mutation. Since the MDEPs had a low abundance in the healthy subjects, we speculate that the MDEPs may enhance the fitness of bacteria to survive in the high stress environment of transplantation that includes multiple stressors including surgery, antibiotics, and immunosuppressive agents.

Indexed as

Genes, BacterialKidney TransplantationMetagenomeBacteriaDrug Resistance, MicrobialFemaleHumansMale

Identifiers

PMID32258127
PMCPMC7093903
OpenAlexW3010826648

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.