Your browser doesn't support javascript.
loading
Enhancing the one health initiative by using whole genome sequencing to monitor antimicrobial resistance of animal pathogens: Vet-LIRN collaborative project with veterinary diagnostic laboratories in United States and Canada.
Ceric, Olgica; Tyson, Gregory H; Goodman, Laura B; Mitchell, Patrick K; Zhang, Yan; Prarat, Melanie; Cui, Jing; Peak, Laura; Scaria, Joy; Antony, Linto; Thomas, Milton; Nemser, Sarah M; Anderson, Renee; Thachil, Anil J; Franklin-Guild, Rebecca J; Slavic, Durda; Bommineni, Yugendar R; Mohan, Shipra; Sanchez, Susan; Wilkes, Rebecca; Sahin, Orhan; Hendrix, G Kenitra; Lubbers, Brian; Reed, Deborah; Jenkins, Tracie; Roy, Alma; Paulsen, Daniel; Mani, Rinosh; Olsen, Karen; Pace, Lanny; Pulido, Martha; Jacob, Megan; Webb, Brett T; Dasgupta, Sarmila; Patil, Amar; Ramachandran, Akhilesh; Tewari, Deepanker; Thirumalapura, Nagaraja; Kelly, Donna J; Rankin, Shelley C; Lawhon, Sara D; Wu, Jing; Burbick, Claire R; Reimschuessel, Renate.
Afiliação
  • Ceric O; Veterinary Laboratory Investigation and Response Network (Vet-LIRN), Center for Veterinary Medicine, United States Food and Drug Administration, 8401 Muirkirk Rd, Laurel, MD, 20708, USA. Olgica.Ceric@fda.hhs.gov.
  • Tyson GH; Veterinary Laboratory Investigation and Response Network (Vet-LIRN), Center for Veterinary Medicine, United States Food and Drug Administration, 8401 Muirkirk Rd, Laurel, MD, 20708, USA.
  • Goodman LB; Population Medicine & Diagnostic Sciences, Cornell University, Ithaca, New York, USA.
  • Mitchell PK; Population Medicine & Diagnostic Sciences, Cornell University, Ithaca, New York, USA.
  • Zhang Y; Ohio Department of Agriculture, Ohio Animal Disease Diagnostic Laboratory, Reynoldsburg, OH, USA.
  • Prarat M; Ohio Department of Agriculture, Ohio Animal Disease Diagnostic Laboratory, Reynoldsburg, OH, USA.
  • Cui J; Ohio Department of Agriculture, Ohio Animal Disease Diagnostic Laboratory, Reynoldsburg, OH, USA.
  • Peak L; School of Veterinary Medicine, Louisiana State University, Baton Rouge, LA, USA.
  • Scaria J; Veterinary and Biomedical Sciences, South Dakota State University, Brookings, SD, USA.
  • Antony L; Veterinary and Biomedical Sciences, South Dakota State University, Brookings, SD, USA.
  • Thomas M; Veterinary and Biomedical Sciences, South Dakota State University, Brookings, SD, USA.
  • Nemser SM; Veterinary Laboratory Investigation and Response Network (Vet-LIRN), Center for Veterinary Medicine, United States Food and Drug Administration, 8401 Muirkirk Rd, Laurel, MD, 20708, USA.
  • Anderson R; Population Medicine & Diagnostic Sciences, Cornell University, Ithaca, New York, USA.
  • Thachil AJ; Population Medicine & Diagnostic Sciences, Cornell University, Ithaca, New York, USA.
  • Franklin-Guild RJ; Population Medicine & Diagnostic Sciences, Cornell University, Ithaca, New York, USA.
  • Slavic D; Animal Health Laboratory, University of Guelph, Guelph, Canada.
  • Bommineni YR; Florida Department of Agriculture and Consumer Services, Bronson Animal Disease Diagnostic Laboratory, Kissimmee, FL, USA.
  • Mohan S; Florida Department of Agriculture and Consumer Services, Bronson Animal Disease Diagnostic Laboratory, Kissimmee, FL, USA.
  • Sanchez S; Athens Veterinary Diagnostic Laboratory, Department of Infectious Diseases, College of Veterinary Medicine, The University of Georgia, Athens, GA, USA.
  • Wilkes R; Tifton Veterinary Diagnostic and Investigational Laboratory, The University of Georgia, Tifton, GA, USA.
  • Sahin O; Department of Veterinary Diagnostic and Production Animal Medicine, Iowa State University, Ames, IA, USA.
  • Hendrix GK; Animal Disease Diagnostic Laboratory, Purdue University, West Lafayette, IN, USA.
  • Lubbers B; Veterinary Diagnostic Laboratory, Kansas State University, Manhattan, KS, USA.
  • Reed D; Breathitt Veterinary Center, Murray State University, Murray, KY, USA.
  • Jenkins T; Breathitt Veterinary Center, Murray State University, Murray, KY, USA.
  • Roy A; School of Veterinary Medicine, Louisiana State University, Baton Rouge, LA, USA.
  • Paulsen D; School of Veterinary Medicine, Louisiana State University, Baton Rouge, LA, USA.
  • Mani R; Veterinary Diagnostic Laboratory, Michigan State University, East Lansing, MI, USA.
  • Olsen K; Veterinary Diagnostic Laboratory, University of Minnesota, St. Paul, MN, USA.
  • Pace L; Veterinary Research and Diagnostic Lab System, Mississippi State University, Starkville, MS, USA.
  • Pulido M; Veterinary Research and Diagnostic Lab System, Mississippi State University, Starkville, MS, USA.
  • Jacob M; North Carolina State University College of Veterinary Medicine, Raleigh, NC, USA.
  • Webb BT; Veterinary Diagnostic Laboratory, North Dakota State University, Fargo, ND, USA.
  • Dasgupta S; New Jersey Department of Agriculture, Animal Health Diagnostic Laboratory, Ewing Township, NJ, USA.
  • Patil A; New Jersey Department of Agriculture, Animal Health Diagnostic Laboratory, Ewing Township, NJ, USA.
  • Ramachandran A; Oklahoma Animal Disease Diagnostic Laboratory, Oklahoma State University, Stillwater, OK, USA.
  • Tewari D; Pennsylvania Department of Agriculture, Pennsylvania Veterinary Laboratory, Harrisburg, PA, USA.
  • Thirumalapura N; Pennsylvania Department of Agriculture, Pennsylvania Veterinary Laboratory, Harrisburg, PA, USA.
  • Kelly DJ; Pennsylvania Animal Diagnostic Laboratory, New Bolton Center, University of Pennsylvania, Kenneth Square, PA, USA.
  • Rankin SC; School of Veterinary Medicine, The Ryan Veterinary Hospital Clinical Microbiology Laboratory, University of Pennsylvania, Philadelphia, PA, USA.
  • Lawhon SD; Texas A&M University, College Station, TX, USA.
  • Wu J; Texas A&M University, College Station, TX, USA.
  • Burbick CR; College of Veterinary Medicine, Washington Animal Disease Diagnostic Laboratory, Washington State University, Pullman, WA, USA.
  • Reimschuessel R; Veterinary Laboratory Investigation and Response Network (Vet-LIRN), Center for Veterinary Medicine, United States Food and Drug Administration, 8401 Muirkirk Rd, Laurel, MD, 20708, USA.
BMC Vet Res ; 15(1): 130, 2019 May 06.
Article em En | MEDLINE | ID: mdl-31060608
ABSTRACT

BACKGROUND:

Antimicrobial resistance (AMR) of bacterial pathogens is an emerging public health threat. This threat extends to pets as it also compromises our ability to treat their infections. Surveillance programs in the United States have traditionally focused on collecting data from food animals, foods, and people. The Veterinary Laboratory Investigation and Response Network (Vet-LIRN), a national network of 45 veterinary diagnostic laboratories, tested the antimicrobial susceptibility of clinically relevant bacterial isolates from animals, with companion animal species represented for the first time in a monitoring program. During 2017, we systematically collected and tested 1968 isolates. To identify genetic determinants associated with AMR and the potential genetic relatedness of animal and human strains, whole genome sequencing (WGS) was performed on 192 isolates 69 Salmonella enterica (all animal sources), 63 Escherichia coli (dogs), and 60 Staphylococcus pseudintermedius (dogs).

RESULTS:

We found that most Salmonella isolates (46/69, 67%) had no known resistance genes. Several isolates from both food and companion animals, however, showed genetic relatedness to isolates from humans. For pathogenic E. coli, no resistance genes were identified in 60% (38/63) of the isolates. Diverse resistance patterns were observed, and one of the isolates had predicted resistance to fluoroquinolones and cephalosporins, important antibiotics in human and veterinary medicine. For S. pseudintermedius, we observed a bimodal distribution of resistance genes, with some isolates having a diverse array of resistance mechanisms, including the mecA gene (19/60, 32%).

CONCLUSION:

The findings from this study highlight the critical importance of veterinary diagnostic laboratory data as part of any national antimicrobial resistance surveillance program. The finding of some highly resistant bacteria from companion animals, and the observation of isolates related to those isolated from humans demonstrates the public health significance of incorporating companion animal data into surveillance systems. Vet-LIRN will continue to build the infrastructure to collect the data necessary to perform surveillance of resistant bacteria as part of fulfilling its mission to advance human and animal health. A One Health approach to AMR surveillance programs is crucial and must include data from humans, animals, and environmental sources to be effective.
Assuntos
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bactérias / Medicina Veterinária / Sequenciamento Completo do Genoma / Saúde Única / Laboratórios Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Animals País como assunto: America do norte Idioma: En Ano de publicação: 2019 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bactérias / Medicina Veterinária / Sequenciamento Completo do Genoma / Saúde Única / Laboratórios Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Animals País como assunto: America do norte Idioma: En Ano de publicação: 2019 Tipo de documento: Article