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暴露于亚抑菌浓度氟喹诺酮类药物后细菌抗生素耐药性的发展及诱变:文献系统综述

Bacterial antibiotic resistance development and mutagenesis following exposure to subinhibitory concentrations of fluoroquinolones : a systematic review of the literature.

作者信息

Ching Carly, Orubu Ebiowei S F, Sutradhar Indorica, Wirtz Veronika J, Boucher Helen W, Zaman Muhammad H

机构信息

Department of Biomedical Engineering, Boston University, Boston, MA, USA.

Institute for Health System Innovation & Policy, Boston University, Boston, MA, USA.

出版信息

JAC Antimicrob Resist. 2020 Sep 30;2(3):dlaa068. doi: 10.1093/jacamr/dlaa068. eCollection 2020 Sep.

Abstract

BACKGROUND

Understanding social and scientific drivers of antibiotic resistance is critical to help preserve antibiotic efficacy. These drivers include exposure to subinhibitory antibiotic concentrations in the environment and clinic.

OBJECTIVES

To summarize and quantify the relationship between subinhibitory fluoroquinolone exposure and antibiotic resistance and mutagenesis to better understand resistance patterns and mechanisms.

METHODS

Following PRISMA guidelines, PubMed, Web of Science and Embase were searched for primary experimental studies on subinhibitory fluoroquinolone exposure and bacterial antibiotic resistance and mutagenesis, from earliest available dates through to 2018 without language limitation. A specifically developed non-weighted tool was used to assess risk of bias.

RESULTS

Evidence from 62 eligible studies showed that subinhibitory fluoroquinolone exposure results in increased resistance to the selecting fluoroquinolone. Most increases in MIC were low (median minimum of 3.7-fold and median maximum of 32-fold) and may not be considered clinically relevant. Mechanistically, resistance is partly explained by target mutations but also changes in drug efflux. Collaterally, resistance to other fluoroquinolones and unrelated antibiotic classes also develops. The mean ± SD quality score for all studies was 2.6 ± 1.8 with a range of 0 (highest score) to 7 (lowest score).

CONCLUSIONS

Low and moderate levels of resistance and efflux changes can create an opportunity for higher-level resistance or MDR. Future studies, to elucidate the genetic regulation of specific resistance mechanisms, and increased policies, including surveillance of low-level resistance changes or genomic surveillance of efflux pump genes and regulators, could serve as a predictor of MDR development.

摘要

背景

了解抗生素耐药性的社会和科学驱动因素对于维持抗生素疗效至关重要。这些驱动因素包括在环境和临床中接触亚抑菌浓度的抗生素。

目的

总结并量化亚抑菌浓度氟喹诺酮暴露与抗生素耐药性及诱变之间的关系,以更好地理解耐药模式和机制。

方法

遵循PRISMA指南,检索PubMed、科学网和Embase数据库,查找从最早可用日期至2018年关于亚抑菌浓度氟喹诺酮暴露与细菌抗生素耐药性及诱变的原始实验研究,无语言限制。使用专门开发的非加权工具评估偏倚风险。

结果

62项符合条件的研究证据表明,亚抑菌浓度氟喹诺酮暴露会导致对所选氟喹诺酮的耐药性增加。大多数最低抑菌浓度(MIC)的增加幅度较小(中位数最低为3.7倍,中位数最高为32倍),可能不被视为具有临床相关性。从机制上讲,耐药性部分可由靶点突变解释,但也与药物外排的变化有关。此外,对其他氟喹诺酮类药物和不相关抗生素类别的耐药性也会产生。所有研究的平均质量得分±标准差为2.6±1.8,范围为0(最高分)至7(最低分)。

结论

低水平和中等水平的耐药性及外排变化可能为高水平耐药或多重耐药创造机会。未来的研究,以阐明特定耐药机制的遗传调控,以及加强相关政策,包括监测低水平耐药变化或对外排泵基因及调控因子进行基因组监测,可作为多重耐药发展的预测指标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/36c1/8210091/2a41b942a94b/dlaa068f1.jpg

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