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Using source-associated mobile genetic elements to identify zoonotic extraintestinal E. coli infections.
Liu, Cindy M; Aziz, Maliha; Park, Daniel E; Wu, Zhenke; Stegger, Marc; Li, Mengbing; Wang, Yashan; Schmidlin, Kara; Johnson, Timothy J; Koch, Benjamin J; Hungate, Bruce A; Nordstrom, Lora; Gauld, Lori; Weaver, Brett; Rolland, Diana; Statham, Sally; Hall, Brantley; Sariya, Sanjeev; Davis, Gregg S; Keim, Paul S; Johnson, James R; Price, Lance B.
Affiliation
  • Liu CM; Antibiotic Resistance Action Center, Department of Environmental and Occupational Health, Milken Institute School of Public Health, George Washington University, 800 22nd Street NW, Washington, DC 20052, USA.
  • Aziz M; The Pathogen and Microbiome Institute, Department of Biological Sciences, Northern Arizona University, Room 210 Building 56, Applied Research & Development, 1395 S Knoles Drive, Flagstaff, AZ 86011, USA.
  • Park DE; Antibiotic Resistance Action Center, Department of Environmental and Occupational Health, Milken Institute School of Public Health, George Washington University, 800 22nd Street NW, Washington, DC 20052, USA.
  • Wu Z; Antibiotic Resistance Action Center, Department of Environmental and Occupational Health, Milken Institute School of Public Health, George Washington University, 800 22nd Street NW, Washington, DC 20052, USA.
  • Stegger M; Department of Biostatistics, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI 48109, USA.
  • Li M; Michigan Institute for Data Science (MIDAS), University of Michigan, 500 Church Street, Suite 600, Ann Arbor, MI 48109, USA.
  • Wang Y; Department of Bacteria, Parasites and Fungi, Statens Serum Institut, 5 Artillerivej, DK-2300 Copenhagen, Denmark.
  • Schmidlin K; Department of Biostatistics, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI 48109, USA.
  • Johnson TJ; Antibiotic Resistance Action Center, Department of Environmental and Occupational Health, Milken Institute School of Public Health, George Washington University, 800 22nd Street NW, Washington, DC 20052, USA.
  • Koch BJ; Division of Pathogen Genomics, Translational Genomics Research Institute (TGen), 3051 W Shamrell Blvd, Flagstaff, AZ 86005, USA.
  • Hungate BA; Department of Veterinary and Biomedical Sciences, College of Veterinary Medicine, University of Minnesota, 1365 Gortner Ave, St Paul, MN 55108, USA.
  • Nordstrom L; Center for Ecosystem Science and Society, Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ 86011, USA.
  • Gauld L; Center for Ecosystem Science and Society, Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ 86011, USA.
  • Weaver B; Division of Pathogen Genomics, Translational Genomics Research Institute (TGen), 3051 W Shamrell Blvd, Flagstaff, AZ 86005, USA.
  • Rolland D; Flagstaff Medical Center, 1200 N. Beaver St. Flagstaff, AZ 86001, USA.
  • Statham S; Division of Pathogen Genomics, Translational Genomics Research Institute (TGen), 3051 W Shamrell Blvd, Flagstaff, AZ 86005, USA.
  • Hall B; Flagstaff Medical Center, 1200 N. Beaver St. Flagstaff, AZ 86001, USA.
  • Sariya S; Division of Pathogen Genomics, Translational Genomics Research Institute (TGen), 3051 W Shamrell Blvd, Flagstaff, AZ 86005, USA.
  • Davis GS; Department of Cell Biology and Molecular Genetics, University of Maryland, College Park, MD 20742, USA.
  • Keim PS; Antibiotic Resistance Action Center, Department of Environmental and Occupational Health, Milken Institute School of Public Health, George Washington University, 800 22nd Street NW, Washington, DC 20052, USA.
  • Johnson JR; Antibiotic Resistance Action Center, Department of Environmental and Occupational Health, Milken Institute School of Public Health, George Washington University, 800 22nd Street NW, Washington, DC 20052, USA.
  • Price LB; The Pathogen and Microbiome Institute, Department of Biological Sciences, Northern Arizona University, Room 210 Building 56, Applied Research & Development, 1395 S Knoles Drive, Flagstaff, AZ 86011, USA.
One Health ; 16: 100518, 2023 Jun.
Article de En | MEDLINE | ID: mdl-37363239
ABSTRACT
A one-health perspective may provide new and actionable information about Escherichia coli transmission. E. coli colonizes a broad range of vertebrates, including humans and food-production animals, and is a leading cause of bladder, kidney, and bloodstream infections in humans. Substantial evidence supports foodborne transmission of pathogenic E. coli strains from food animals to humans. However, the relative contribution of foodborne zoonotic E. coli (FZEC) to the human extraintestinal disease burden and the distinguishing characteristics of such strains remain undefined. Using a comparative genomic analysis of a large collection of contemporaneous, geographically-matched clinical and meat-source E. coli isolates (n = 3111), we identified 17 source-associated mobile genetic elements - predominantly plasmids and bacteriophages - and integrated them into a novel Bayesian latent class model to predict the origins of clinical E. coli isolates. We estimated that approximately 8 % of human extraintestinal E. coli infections (mostly urinary tract infections) in our study population were caused by FZEC. FZEC strains were equally likely to cause symptomatic disease as non-FZEC strains. Two FZEC lineages, ST131-H22 and ST58, appeared to have particularly high virulence potential. Our findings imply that FZEC strains collectively cause more urinary tract infections than does any single non-E. coli uropathogenic species (e.g., Klebsiella pneumoniae). Our novel approach can be applied in other settings to identify the highest-risk FZEC strains, determine their sources, and inform new one-health strategies to decrease the heavy public health burden imposed by extraintestinal E. coli infections.
Mots clés

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Prognostic_studies / Risk_factors_studies Langue: En Journal: One Health Année: 2023 Type de document: Article Pays d'affiliation: États-Unis d'Amérique

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Prognostic_studies / Risk_factors_studies Langue: En Journal: One Health Année: 2023 Type de document: Article Pays d'affiliation: États-Unis d'Amérique
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