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DOI 10.1093/jac/dky417

Медицинская библиотека · The Journal of antimicrobial chemotherapy · 2019

Quantifying the contribution of four resistance mechanisms to ciprofloxacin MIC in Escherichia coli: a systematic review.

van der Putten Boas C L, Remondini Daniel, Pasquini Giovanni, Janes Victoria A, Matamoros Sébastien, Schultsz Constance

СтатьяПоддержка исследования: вне правительства СШАСистематический обзорПеревод пока не подготовлен

Аннотация

BACKGROUND

Reviews assessing the genetic basis of ciprofloxacin resistance in Escherichia coli have mostly been qualitative. However, to predict resistance phenotypes based on genotypic characteristics, it is essential to quantify the contribution of genotypic determinants to resistance.

OBJECTIVES

We performed a systematic review to assess the relative contribution of known genomic resistance determinants to the MIC of ciprofloxacin in E. coli.

METHODS

PubMed and Web of Science were searched for English language studies that assessed ciprofloxacin MIC and presence or introduction of genetic determinants of ciprofloxacin resistance in E. coli. We included experimental and observational studies without time restrictions. Medians and ranges of MIC fold changes were calculated for individual resistance determinants and combinations thereof.

RESULTS

We included 66 studies, describing 604 E. coli isolates that carried at least one genetic ciprofloxacin resistance determinant. Mutations in gyrA and parC, genes encoding targets of ciprofloxacin, contribute to the largest fold changes in ciprofloxacin resistance in E. coli compared with the WT. Efflux and physical blocking or enzymatic modifications confer smaller increases in ciprofloxacin MIC than mutations in gyrA and parC. However, the presence of these other resistance mechanisms in addition to target alteration mutations further increases ciprofloxacin MIC, thus resulting in ciprofloxacin MIC increases ranging from 250- to 4000-fold.

CONCLUSIONS

This quantitative review of genomic determinants of ciprofloxacin resistance in E. coli demonstrates the complexity of resistance phenotype prediction from genomic data and serves as a reference point for studies aiming to predict ciprofloxacin MIC from E. coli genomes.

Для цитирования: van der Putten Boas C L, Remondini Daniel, Pasquini Giovanni, Janes Victoria A, Matamoros Sébastien, Schultsz Constance. Quantifying the contribution of four resistance mechanisms to ciprofloxacin MIC in Escherichia coli: a systematic review.. The Journal of antimicrobial chemotherapy. 2019. DOI: 10.1093/jac/dky417.

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