Machine learning to attribute the source of Campylobacter infections in the United States: a retrospective analysis of national surveillance data.

Campylobacteriosis Chicken consumption Gastroenteritis Machine learning Source attribution

Journal

The Journal of infection
ISSN: 1532-2742
Titre abrégé: J Infect
Pays: England
ID NLM: 7908424

Informations de publication

Date de publication:
06 Sep 2024
Historique:
received: 26 01 2024
revised: 27 08 2024
accepted: 30 08 2024
medline: 9 9 2024
pubmed: 9 9 2024
entrez: 8 9 2024
Statut: aheadofprint

Résumé

Integrating pathogen genomic surveillance with bioinformatics can enhance public health responses by identifying risk and guiding interventions. This study focusses on the two predominant Campylobacter species, which are commonly found in the gut of birds and mammals and often infect humans via contaminated food. Rising incidence and antimicrobial resistance (AMR) are a global concern and there is an urgent need to quantify the main routes to human infection. During routine US national surveillance (2009-2019), 8,856 Campylobacter genomes from human infections and 16,703 from possible sources were sequenced. Using machine learning and probabilistic models, we target genetic variation associated with host adaptation to attribute the source of human infections and estimate the importance of different disease reservoirs. Poultry was identified as the primary source of human infections, responsible for an estimated 68% of cases, followed by cattle (28%), and only a small contribution from wild birds (3%) and pork sources (1%). There was also evidence of an increase in multidrug resistance, particularly among isolates attributed to chickens. National surveillance and source attribution can guide policy, and our study suggests that interventions targeting poultry will yield the greatest reductions in campylobacteriosis and spread of AMR in the US. All sequence reads were uploaded and shared on NCBI's Sequence Read Archive (SRA) associated with BioProjects; PRJNA239251 (CDC / PulseNet surveillance), PRJNA287430 (FSIS surveillance), PRJNA292668 & PRJNA292664 (NARMS) and PRJNA258022 (FDA surveillance). Publicly available genomes, including reference genomes and isolates sampled worldwide from wild birds are associated with BioProject accessions: PRJNA176480, PRJNA177352, PRJNA342755, PRJNA345429, PRJNA312235, PRJNA415188, PRJNA524300, PRJNA528879, PRJNA529798, PRJNA575343, PRJNA524315 and PRJNA689604. Contiguous assemblies of all genome sequences compared are available at Mendeley data (assembled C. coli genomes doi: 10.17632/gxswjvxyh3.1; assembled C. jejuni genomes doi: 10.17632/6ngsz3dtbd.1) and individual project and accession numbers can be found in Supplementary tables S1 and S2, which also includes pubMLST identifiers for assembled genomes. Figshare (10.6084/m9.figshare.20279928). Interactive phylogenies are hosted on microreact separately for C. jejuni (https://microreact.org/project/pascoe-us-cjejuni) and C. coli (https://microreact.org/project/pascoe-us-ccoli).

Identifiants

pubmed: 39245152
pii: S0163-4453(24)00199-3
doi: 10.1016/j.jinf.2024.106265
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

106265

Informations de copyright

Copyright © 2024 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest All authors declare no conflict of interest. Declaration of competing interests All authors declare no conflict of interest.

Auteurs

Ben Pascoe (B)

Ineos Oxford Institute for Antimicrobial Research, Department of Biology, University of Oxford, Oxford, United Kingdom; Pandemic Sciences, University of Oxford, Oxford, United Kingdom.

Georgina Futcher (G)

The Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Claverton Down, Bath, United Kingdom.

Johan Pensar (J)

Department of Mathematics, University of Oslo, Oslo, Norway.

Sion C Bayliss (SC)

Bristol Veterinary School, University of Bristol, Langford, Bristol, United Kingdom.

Evangelos Mourkas (E)

Ineos Oxford Institute for Antimicrobial Research, Department of Biology, University of Oxford, Oxford, United Kingdom.

Jessica K Calland (JK)

Oslo University Hospital, Oslo Centre for Biostatistics and Epidemiology, Oslo, Norway.

Matthew D Hitchings (MD)

Swansea University Medical School, Swansea University, Swansea, United Kingdom.

Lavin A Joseph (LA)

Division of Foodborne, Waterborne, and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.

Charlotte G Lane (CG)

Division of Foodborne, Waterborne, and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.

Tiffany Greenlee (T)

Center for Food Safety and Applied Nutrition, Food and Drug Administration, College Park, Maryland, USA.

Nicolas Arning (N)

Big Data Institute, Oxford Population Health, University of Oxford, Li Ka Shing Centre for Health Information and Discovery, Old Road Campus, Oxford, United Kingdom.

Daniel J Wilson (DJ)

Big Data Institute, Oxford Population Health, University of Oxford, Li Ka Shing Centre for Health Information and Discovery, Old Road Campus, Oxford, United Kingdom; Department for Continuing Education, University of Oxford, United Kingdom.

Keith A Jolley (KA)

Department of Biology, University of Oxford, Oxford, United Kingdom.

Jukka Corander (J)

Oslo University Hospital, Oslo Centre for Biostatistics and Epidemiology, Oslo, Norway; Department of Mathematics and Statistics, University of Helsinki, Helsinki, Finland; Parasites and Microbes, Wellcome Sanger Institute, Cambridge, United Kingdom.

Martin C J Maiden (MCJ)

Department of Biology, University of Oxford, Oxford, United Kingdom.

Craig T Parker (CT)

Produce Safety and Microbiology Research Unit, Agricultural Research Service, US Department of Agriculture, Albany, California, USA.

Kerry K Cooper (KK)

School of Animal and Comparative Biomedical Sciences, University of Arizona, Tucson, Arizona, USA.

Erica B Rose (EB)

Division of Foodborne, Waterborne, and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.

Kelli Hiett (K)

Center for Food Safety and Applied Nutrition, Food and Drug Administration, Laurel, Maryland, USA.

Beau B Bruce (BB)

Division of Foodborne, Waterborne, and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.

Samuel K Sheppard (SK)

Ineos Oxford Institute for Antimicrobial Research, Department of Biology, University of Oxford, Oxford, United Kingdom. Electronic address: samuel.sheppard@biology.ox.ac.uk.

Classifications MeSH