Antimicrobial resistance in food-borne pathogens at the human-animal interface: Results from a large surveillance study in India.

Antibiotic resistance Campylobacter spp. E. coli Foodborne bacteria India One health

Journal

One health (Amsterdam, Netherlands)
ISSN: 2352-7714
Titre abrégé: One Health
Pays: Netherlands
ID NLM: 101660501

Informations de publication

Date de publication:
Jun 2024
Historique:
received: 20 10 2023
revised: 06 12 2023
accepted: 10 01 2024
medline: 16 7 2024
pubmed: 16 7 2024
entrez: 16 7 2024
Statut: epublish

Résumé

The burden of foodborne diseases and antimicrobial resistance carried by key foodborne pathogens in India is unknown due to a lack of an integrated surveillance system at the human-animal interface. We present data from the WHO-AGISAR (Advisory Group on Integrated Surveillance of Antimicrobial Resistance), India project. Concurrent human and animal sampling was done across a large area across north India. Community-acquired diarrhea cases ( Over 80% of diarrhoeal samples were obtained from moderate to severe diarrhea patients, which yielded EAEC (5%), ETEC (4.84%), EPEC (4.32%), and In one of the most extensive studies from India, a high burden of key foodborne pathogens with MDR and ESBL phenotypes was found in livestock, poultry, and retail meat.

Sections du résumé

Background UNASSIGNED
The burden of foodborne diseases and antimicrobial resistance carried by key foodborne pathogens in India is unknown due to a lack of an integrated surveillance system at the human-animal interface.
Methods UNASSIGNED
We present data from the WHO-AGISAR (Advisory Group on Integrated Surveillance of Antimicrobial Resistance), India project. Concurrent human and animal sampling was done across a large area across north India. Community-acquired diarrhea cases (
Results UNASSIGNED
Over 80% of diarrhoeal samples were obtained from moderate to severe diarrhea patients, which yielded EAEC (5%), ETEC (4.84%), EPEC (4.32%), and
Conclusion UNASSIGNED
In one of the most extensive studies from India, a high burden of key foodborne pathogens with MDR and ESBL phenotypes was found in livestock, poultry, and retail meat.

Identifiants

pubmed: 39010970
doi: 10.1016/j.onehlt.2024.100677
pii: S2352-7714(24)00003-X
pmc: PMC11247263
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100677

Informations de copyright

© 2024 The Authors.

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Jaspreet Mahindroo (J)

Department of Medical Microbiology, Postgraduate Institute of Medical Education and Research, Chandigarh 1610012, India.
MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.

Chandradeo Narayan (C)

Department of Medical Microbiology, Postgraduate Institute of Medical Education and Research, Chandigarh 1610012, India.

Vinay Modgil (V)

Department of Medical Microbiology, Postgraduate Institute of Medical Education and Research, Chandigarh 1610012, India.
Society for Health Information Systems Programmes (HISP), India.

Harpreet Kaur (H)

Department of Medical Microbiology, Postgraduate Institute of Medical Education and Research, Chandigarh 1610012, India.

Varun Shahi (V)

Department of Medical Microbiology, Postgraduate Institute of Medical Education and Research, Chandigarh 1610012, India.

Bhawna Sharma (B)

Department of Medical Microbiology, Postgraduate Institute of Medical Education and Research, Chandigarh 1610012, India.
Department of Microbiology, AIIMS, Bathinda, Punjab 151001, India.

Ruby Jain (R)

Civil Hospital Manimajra, Chandigarh, Panchkula, India.

Siddhartha Thakur (S)

College of Veterinary Medicine, North Carolina State University, Raleigh, NC, USA.

Balvinder Mohan (B)

Department of Medical Microbiology, Postgraduate Institute of Medical Education and Research, Chandigarh 1610012, India.

Neelam Taneja (N)

Department of Medical Microbiology, Postgraduate Institute of Medical Education and Research, Chandigarh 1610012, India.

Classifications MeSH