Literature DB >> 35449493

Molecular epidemiology of antimicrobial-resistant Pseudomonas aeruginosa in a veterinary teaching hospital environment.

Jeerawat Soonthornsit1, Kotchawan Pimwaraluck2, Noppakhun Kongmuang2, Ploy Pratya2, Nathita Phumthanakorn3.   

Abstract

This study aimed to investigate sites for colonization and molecular epidemiology of antimicrobial-resistant Pseudomonas aeruginosa in a veterinary teaching hospital. Bacterial specimens from surface and liquid samples (n = 165) located in five rooms were collected three times every 2 months, and antimicrobial susceptibility was subsequently determined by minimum inhibitory concentrations. The genomes of resistant strains were further analyzed using whole-genome sequencing. Among 19 P. aeruginosa isolates (11.5%, 19/165), sinks were the most frequent colonization site (53.3%), followed by rubber tubes (44.4%), and anesthesia-breathing circuit (33.3%). The highest resistance to gentamicin (47.4%), followed by piperacillin/tazobactam (36.8%), levofloxacin (36.8%), and ciprofloxacin (36.8%), was observed from 19 P. aeruginosa isolates, of which 10 were resistant strains. Of these 10 antimicrobial-resistant isolates, five were multidrug-resistant isolates, including carbapenem. From the multilocus sequence typing (MLST) analysis, five sequence types (STs), including a high-risk clone of human ST235 (n = 3), and ST244 (n = 3), ST606 (n = 2), ST485 (n = 1), and ST3405 (n = 1) were identified in resistant strains. Multiresistant genes were identified consistent with STs, except ST235. The MLST approach and single nucleotide polymorphism analysis revealed a link between resistant strains from ward rooms and those from examination, wound care, and operating rooms. The improvement of routine cleaning, especially of sink environments, and the continued monitoring of antimicrobial resistance of P. aeruginosa in veterinary hospitals are necessary to prevent the spread of resistant clones and ensure infection control.
© 2022. The Author(s), under exclusive licence to Springer Nature B.V.

Entities:  

Keywords:  Antimicrobial resistance; Environment; Molecular epidemiology; Pseudomonas aeruginosa; Veterinary hospital

Year:  2022        PMID: 35449493     DOI: 10.1007/s11259-022-09929-0

Source DB:  PubMed          Journal:  Vet Res Commun        ISSN: 0165-7380            Impact factor:   2.459


  47 in total

1.  SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing.

Authors:  Anton Bankevich; Sergey Nurk; Dmitry Antipov; Alexey A Gurevich; Mikhail Dvorkin; Alexander S Kulikov; Valery M Lesin; Sergey I Nikolenko; Son Pham; Andrey D Prjibelski; Alexey V Pyshkin; Alexander V Sirotkin; Nikolay Vyahhi; Glenn Tesler; Max A Alekseyev; Pavel A Pevzner
Journal:  J Comput Biol       Date:  2012-04-16       Impact factor: 1.479

2.  Validating the AMRFinder Tool and Resistance Gene Database by Using Antimicrobial Resistance Genotype-Phenotype Correlations in a Collection of Isolates.

Authors:  Michael Feldgarden; Vyacheslav Brover; Daniel H Haft; Arjun B Prasad; Douglas J Slotta; Igor Tolstoy; Gregory H Tyson; Shaohua Zhao; Chih-Hao Hsu; Patrick F McDermott; Daniel A Tadesse; Cesar Morales; Mustafa Simmons; Glenn Tillman; Jamie Wasilenko; Jason P Folster; William Klimke
Journal:  Antimicrob Agents Chemother       Date:  2019-10-22       Impact factor: 5.191

3.  In-depth Study of a Nosocomial Outbreak Caused by XDR-Pseudomonas aeruginosa Using Whole Genome Sequencing Coupled with a PCR Targeting Strain-Specific SNPs.

Authors:  Fermín Acosta; Ana Fernández-Cruz; Sandra R Maus; Pedro J Sola-Campoy; Mercedes Marín; Emilia Cercenado; Olalla Sierra; Patricia Muñoz; Darío García de Viedma; Laura Pérez-Lago
Journal:  Am J Epidemiol       Date:  2020-03-04       Impact factor: 4.897

4.  Dissemination of high-risk clones of extensively drug-resistant Pseudomonas aeruginosa in colombia.

Authors:  Adriana Correa; Rosa Del Campo; Marcela Perenguez; Victor M Blanco; Mercedes Rodríguez-Baños; Federico Perez; Juan J Maya; Laura Rojas; Rafael Cantón; Cesar A Arias; Maria V Villegas
Journal:  Antimicrob Agents Chemother       Date:  2015-01-20       Impact factor: 5.191

5.  In silico detection and typing of plasmids using PlasmidFinder and plasmid multilocus sequence typing.

Authors:  Alessandra Carattoli; Ea Zankari; Aurora García-Fernández; Mette Voldby Larsen; Ole Lund; Laura Villa; Frank Møller Aarestrup; Henrik Hasman
Journal:  Antimicrob Agents Chemother       Date:  2014-04-28       Impact factor: 5.191

6.  OprD mutations and inactivation in imipenem-resistant Pseudomonas aeruginosa isolates from China.

Authors:  Zhi-Li Fang; Li-Yan Zhang; Ying-Min Huang; Yun Qing; Kai-Yuan Cao; Guo-Bao Tian; Xi Huang
Journal:  Infect Genet Evol       Date:  2013-11-08       Impact factor: 3.342

7.  Population structure and antimicrobial susceptibility of both nonpersistent and persistent Pseudomonas aeruginosa isolates recovered from cystic fibrosis patients.

Authors:  Ana Fernández-Olmos; María García-Castillo; José María Alba; María Isabel Morosini; Adelaida Lamas; Beatriz Romero; Juan Carlos Galán; Rosa del Campo; Rafael Cantón
Journal:  J Clin Microbiol       Date:  2013-06-12       Impact factor: 5.948

Review 8.  Antibiotic resistance in Pseudomonas aeruginosa - Mechanisms, epidemiology and evolution.

Authors:  João Botelho; Filipa Grosso; Luísa Peixe
Journal:  Drug Resist Updat       Date:  2019-07-19       Impact factor: 18.500

9.  Population structure of Pseudomonas aeruginosa through a MLST approach and antibiotic resistance profiling of a Mexican clinical collection.

Authors:  F J Castañeda-Montes; M Avitia; O Sepúlveda-Robles; V Cruz-Sánchez; L Kameyama; G Guarneros; A E Escalante
Journal:  Infect Genet Evol       Date:  2018-07-10       Impact factor: 3.342

10.  fastp: an ultra-fast all-in-one FASTQ preprocessor.

Authors:  Shifu Chen; Yanqing Zhou; Yaru Chen; Jia Gu
Journal:  Bioinformatics       Date:  2018-09-01       Impact factor: 6.937

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.