Literature DB >> 31866575

Identification and characterization of Shigella with decreased susceptibility to azithromycin in the United States, 2005 to 2014.

Davina Campbell1, Anna Bowen1, Amelia Bhatnagar2, Andre McCullough2, Julian Grass1, Jessica Chen2, Jason P Folster3.   

Abstract

OBJECTIVES: Our objectives were to identify Shigella isolates in the United States with decreased susceptibility to azithromycin (DSA) and characterize the genetic mechanisms responsible for this resistance.
METHODS: The National Antimicrobial Resistance Monitoring System (NARMS) at the US Centers for Disease Control and Prevention (CDC) collects and conducts broth microdilution antimicrobial susceptibility testing on Shigella to determine minimum inhibitory concentrations (MICs) for up to 15 drugs, including azithromycin. Isolates with decreased susceptibility to azithromycin were subjected to molecular methods (e.g., polymerase chain reaction [PCR], whole-genome sequencing, and plasmid typing/transformation) to identify the genetic mechanisms of resistance.
RESULTS: A total of 118 isolates with decreased susceptibility to azithromycin were tested-65 (55%) isolates contained only mphA, 1 (<1%) isolate contained only ermB, and 51 (43%) isolates contained both mechanisms. Seven isolates contained IncFII plasmids with mphA, ermB, or mphA and ermB, whereas one isolate contained an IncB/O plasmid with mphA. One (<1%) isolate that contained neither mphA nor ermB contained mutations in rrlH, rplD, and rplV genes and an insertion in rplV, the functions of which are not yet known.
CONCLUSION: Additional studies are needed to understand the effect on treatment outcomes, epidemiology and possible additional mechanisms responsible for the decreased susceptibility of azithromycin in Shigella. Published by Elsevier Ltd.

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Keywords:  Antimicrobial drug resistance; Shigella

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Year:  2019        PMID: 31866575     DOI: 10.1016/j.jgar.2019.12.005

Source DB:  PubMed          Journal:  J Glob Antimicrob Resist        ISSN: 2213-7165            Impact factor:   4.035


  2 in total

1.  Use of Molecular Methods To Detect Shigella and Infer Phenotypic Resistance in a Shigella Treatment Study.

Authors:  Suporn Pholwat; Jie Liu; Mami Taniuchi; Rashidul Haque; Mohammed Masud Alam; Abu Syed Golam Faruque; Tahsin Ferdous; Rifat Ara; James A Platts-Mills; Eric R Houpt
Journal:  J Clin Microbiol       Date:  2021-10-20       Impact factor: 11.677

2.  Prevalence of Plasmid-Mediated Determinants With Decreased Susceptibility to Azithromycin Among Shigella Isolates in Anhui, China.

Authors:  Yanyan Liu; Hongru Li; Na Lv; Yalong Zhang; Xihai Xu; Ying Ye; Yufeng Gao; Jiabin Li
Journal:  Front Microbiol       Date:  2020-06-30       Impact factor: 5.640

  2 in total

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