4.7 Article

Antibiotic Susceptibility Profiles and Frequency of Resistance Genes in Clinical Shiga Toxin-Producing Escherichia coli Isolates from Michigan over a 14-Year Period

期刊

出版社

AMER SOC MICROBIOLOGY
DOI: 10.1128/AAC.01189-21

关键词

STEC; antibiotic resistance; whole-genome sequencing; antibiotic resistance genes; epidemiology; Escherichia coli; Shiga toxins

资金

  1. National Institutes of Health [U19AI090872]
  2. U.S. Department of Agriculture [2011-67005-30004, 2019-67017-29112]
  3. MSU Foundation
  4. Department of Microbiology and Molecular Genetics at MSU via the Ronald and Sharon Rogowski Fellowship
  5. Bertina Wentworth Scholar Award
  6. MSU College of Natural Science
  7. NIFA [2011-67005-30004, 579833] Funding Source: Federal RePORTER

向作者/读者索取更多资源

The study found an increasing trend in antibiotic resistance frequencies among all STEC serogroups over the past 14 years, especially in non-O157 serogroups. In Michigan, the frequency of ampicillin resistance among O157 isolates was significantly higher than the national average. Genomic analysis revealed 32 distinct antibiotic resistance genes in non-O157 isolates.
Shiga toxin-producing Escherichia coli (STEC) is an important foodborne pathogen that contributes to over 250,000 infections in the United States each year. Because antibiotics are not recommended for STEC infections, resistance in STEC has not been widely researched despite an increased likelihood for the transfer of resistance genes from STEC to opportunistic pathogens residing within the same microbial community. From 2001 to 2014, 969 STEC isolates were collected from Michigan patients. Antibiotic susceptibility profiles to clinically relevant antibiotics were determined using disc diffusion, while epidemiological data were used to identify factors associated with resistance. Whole-genome sequencing was used for serotyping, examining genetic relatedness, and identifying genetic determinants and mechanisms of resistance in the non-O157 isolates. Increasing frequencies of resistance to at least one antibiotic were observed over the 14 years (P = 0.01). While the non-O157 serogroups were more commonly resistant than O157 (odds ratio, 2.4; 95% confidence interval,1.43 to 4.05), the frequency of ampicillin resistance among O157 isolates was significantly higher in Michigan than the national average (P = 0.03). Genomic analysis of 321 non-O157 isolates uncovered 32 distinct antibiotic resistance genes (ARGs). Although mutations in genes encoding resistance to ciprofloxacin and ampicillin were detected in four isolates, most of the horizontally acquired ARGs conferred resistance to aminoglycosides, beta-lactams, sulfonamides, and/or tetracycline. This study provides insight into the mechanisms of resistance in a large collection of clinical non-O157 STEC isolates and demonstrates that antibiotic resistance among all STEC serogroups has increased over time, prompting the need for enhanced surveillance.

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