Evidence map›Paper›PMID 26206847›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2015

Intermingled Klebsiella pneumoniae Populations Between Retail Meats and Human Urinary Tract Infections.

Gregg S Davis, Kara Waits, Lora Nordstrom, Brett Weaver, Maliha Aziz, Lori Gauld, Heidi Grande, Rick Bigler, Joseph Horwinski, Stephen Porter and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 3% 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

80 citing papers in PubMed, 1 synthesis or guideline pooled it, 143 citations in OpenAlex.

  1. Pooled it
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  8. One Health genomic surveillance ofFrontiers in microbiology · 2026
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20 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 4 institutions in 2 countries.

Gregg S DavisGeorge Washington University Milken Institute School of Public Health, Washington D.C.
Kara WaitsTranslational Genomics Research Institute.
Lora NordstromTranslational Genomics Research Institute.
Brett WeaverTranslational Genomics Research Institute.
Maliha AzizGeorge Washington University Milken Institute School of Public Health, Washington D.C. Translational Genomics Research Institute.
Lori GauldFlagstaff Medical Center, Arizona.
Heidi GrandeTranslational Genomics Research Institute.
Rick BiglerTranslational Genomics Research Institute.
Joseph HorwinskiTranslational Genomics Research Institute.
Stephen PorterVA Healthcare System Minneapolis, Minnesota.
Marc SteggerTranslational Genomics Research Institute Statens Serum Institut, Copenhagen, Denmark.
James R JohnsonVA Healthcare System Minneapolis, Minnesota Department of Medicine, University of Minnesota, Minneapolis.
Cindy M LiuTranslational Genomics Research Institute Johns Hopkins School of Medicine, Baltimore, Maryland.
Lance B PriceGeorge Washington University Milken Institute School of Public Health, Washington D.C. Translational Genomics Research Institute.
Translational Genomics Research Institute · USMinneapolis VA Health Care System · USFlagstaff Medical Center · USJohns Hopkins University · US

Funding

Gut reservoir of E. coli ST131I01CX000920 · VA · MINNEAPOLIS VA MEDICAL CENTER · PI JOHNSON, JAMES R · 2014 to 2021
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CSRD VA I01 CX000920
6 · The paper itself

Abstract

backgroundKlebsiella pneumoniae is a common colonizer of the gastrointestinal tract of humans, companion animals, and livestock. To better understand potential contributions of foodborne K. pneumoniae to human clinical infections, we compared K. pneumoniae isolates from retail meat products and human clinical specimens to assess their similarity based on antibiotic resistance, genetic relatedness, and virulence.

methodsKlebsiella pneumoniae was isolated from retail meats from Flagstaff grocery stores in 2012 and from urine and blood specimens from Flagstaff Medical Center in 2011-2012. Isolates underwent antibiotic susceptibility testing and whole-genome sequencing. Genetic relatedness of the isolates was assessed using multilocus sequence typing and phylogenetic analyses. Extraintestinal virulence of several closely related meat-source and urine isolates was assessed using a murine sepsis model.

resultsMeat-source isolates were significantly more likely to be multidrug resistant and resistant to tetracycline and gentamicin than clinical isolates. Four sequence types occurred among both meat-source and clinical isolates. Phylogenetic analyses confirmed close relationships among meat-source and clinical isolates. Isolates from both sources showed similar virulence in the mouse sepsis model.

conclusionsMeat-source K. pneumoniae isolates were more likely than clinical isolates to be antibiotic resistant, which could reflect selective pressures from antibiotic use in food-animal production. The close genetic relatedness of meat-source and clinical isolates, coupled with similarities in virulence, suggest that the barriers to transmission between these 2 sources are low. Taken together, our results suggest that retail meat is a potential vehicle for transmitting virulent, antibiotic-resistant K. pneumoniae from food animals to humans.

Indexed as

AdultAgedAged, 80 and overAnimalsAnti-Bacterial AgentsDisease Models, AnimalDisease Transmission, InfectiousGenome, BacterialGenotypeHumansKlebsiella InfectionsKlebsiella pneumoniaeMeatMiceMicrobial Sensitivity TestsMiddle AgedAnti-Bacterial Agentsantibiotic resistancefoodKlebsiellameatpoultry

Identifiers

PMID26206847
PMCPMC4551003
OpenAlexW2102802227

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.