Literature DB >> 29678910

Serotype Diversity and Antimicrobial Resistance among Salmonella enterica Isolates from Patients at an Equine Referral Hospital.

I M Leon1, S D Lawhon1, K N Norman2, D S Threadgill1, N Ohta1, J Vinasco1, H M Scott3.   

Abstract

Although Salmonella enterica can produce life-threatening colitis in horses, certain serotypes are more commonly associated with clinical disease. Our aim was to evaluate the proportional morbidity attributed to different serotypes, as well as the phenotypic and genotypic antimicrobial resistance (AMR) of Salmonella isolates from patients at an equine referral hospital in the southern United States. A total of 255 Salmonella isolates was obtained from clinical samples of patients admitted to the hospital between 2007 and 2015. Phenotypic resistance to 14 antibiotics surveilled by the U.S. National Antimicrobial Resistance Monitoring System was determined using a commercially available panel. Whole-genome sequencing was used to identify serotypes and genotypic AMR. The most common serotypes were Salmonella enterica serotype Newport (18%), Salmonella enterica serotype Anatum (15.2%), and Salmonella enterica serotype Braenderup (11.8%). Most (n = 219) of the isolates were pansusceptible, while 25 were multidrug resistant (≥3 antimicrobial classes). Genes encoding beta-lactam resistance, such as blaCMY-2, blaSHV-12, blaCTX-M-27, and blaTEM-1B, were detected. The qnrB2 and aac(6')-Ib-cr genes were present in isolates with reduced susceptibility to ciprofloxacin. Genes encoding resistance to gentamicin (aph(3')-Ia, aac(6')-IIc), streptomycin (strA and strB), sulfonamides (sul1), trimethoprim (dfrA), phenicols (catA), tetracyclines [tet(A) and tet(E)], and macrolides [ere(A)] were also identified. The main predicted incompatibility plasmid type was I1 (10%). Core genome-based analyses revealed phylogenetic associations between isolates of common serotypes. The presence of AMR Salmonella in equine patients increases the risk of unsuccessful treatment and causes concern for potential zoonotic transmission to attending veterinary personnel, animal caretakers, and horse owners. Understanding the epidemiology of Salmonella in horses admitted to referral hospitals is important for the prevention, control, and treatment of salmonellosis.IMPORTANCE In horses, salmonellosis is a leading cause of life-threatening colitis. At veterinary teaching hospitals, nosocomial outbreaks can increase the risk of zoonotic transmission, lead to restrictions on admissions, impact hospital reputation, and interrupt educational activities. The antimicrobials most often used in horses are included in the 5th revision of the World Health Organization's list of critically important antimicrobials for human medicine. Recent studies have demonstrated a trend of increasing bacterial resistance to drugs commonly used to treat Salmonella infections. In this study, we identify temporal trends in the distribution of Salmonella serotypes and their mechanisms of antimicrobial resistance; furthermore, we are able to determine the likely origin of several temporal clusters of infection by using whole-genome sequencing. These data can be used to focus strategies to better contain the dissemination and enhance the mitigation of Salmonella infections and to provide evidence-based policies and guidelines to steward antimicrobial use in veterinary medicine.
Copyright © 2018 American Society for Microbiology.

Entities:  

Keywords:  Salmonella; antibiotic resistance; antimicrobial agents; horses; nosocomial; whole-genome sequencing

Mesh:

Substances:

Year:  2018        PMID: 29678910      PMCID: PMC6007101          DOI: 10.1128/AEM.02829-17

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  55 in total

1.  Colicins and colicinogenic factors.

Authors:  P FREDERICQ
Journal:  Symp Soc Exp Biol       Date:  1958

Review 2.  The importance of efflux pumps in bacterial antibiotic resistance.

Authors:  M A Webber; L J V Piddock
Journal:  J Antimicrob Chemother       Date:  2003-01       Impact factor: 5.790

3.  Salmonella serotype determination utilizing high-throughput genome sequencing data.

Authors:  Shaokang Zhang; Yanlong Yin; Marcus B Jones; Zhenzhen Zhang; Brooke L Deatherage Kaiser; Blake A Dinsmore; Collette Fitzgerald; Patricia I Fields; Xiangyu Deng
Journal:  J Clin Microbiol       Date:  2015-03-11       Impact factor: 5.948

4.  Sero types, phage types and antibiotic susceptibilities of Salmonella strains isolated from horses in The Netherlands from 1993 to 2000.

Authors:  E van Duijkeren; W J B Wannet; M E O C Heck; W van Pelt; M M Sloet van Oldruitenborgh-Oosterbaan; J A H Smit; D J Houwers
Journal:  Vet Microbiol       Date:  2002-05-01       Impact factor: 3.293

Review 5.  Plasmids and the spread of resistance.

Authors:  Alessandra Carattoli
Journal:  Int J Med Microbiol       Date:  2013-03-14       Impact factor: 3.473

Review 6.  Enteritis and colitis in horses.

Authors:  Darien J Feary; Diana M Hassel
Journal:  Vet Clin North Am Equine Pract       Date:  2006-08       Impact factor: 1.792

Review 7.  Multidrug resistance in bacteria.

Authors:  Hiroshi Nikaido
Journal:  Annu Rev Biochem       Date:  2009       Impact factor: 23.643

8.  Risk factors associated with fecal Salmonella shedding among hospitalized horses with signs of gastrointestinal tract disease.

Authors:  Nicolas S Ernst; Jorge A Hernandez; Robert J MacKay; Murray P Brown; Jack M Gaskin; An D Nguyen; Steeve Giguere; Patrick T Colahan; Mats R Troedsson; Gregory R Haines; Iva R Addison; Ben J Miller
Journal:  J Am Vet Med Assoc       Date:  2004-07-15       Impact factor: 1.936

9.  Whole-Genome Sequencing for Detecting Antimicrobial Resistance in Nontyphoidal Salmonella.

Authors:  Patrick F McDermott; Gregory H Tyson; Claudine Kabera; Yuansha Chen; Cong Li; Jason P Folster; Sherry L Ayers; Claudia Lam; Heather P Tate; Shaohua Zhao
Journal:  Antimicrob Agents Chemother       Date:  2016-08-22       Impact factor: 5.191

10.  PointFinder: a novel web tool for WGS-based detection of antimicrobial resistance associated with chromosomal point mutations in bacterial pathogens.

Authors:  Ea Zankari; Rosa Allesøe; Katrine G Joensen; Lina M Cavaco; Ole Lund; Frank M Aarestrup
Journal:  J Antimicrob Chemother       Date:  2017-10-01       Impact factor: 5.790

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