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本文引用的文献

1
Population-based inference of aminoglycoside resistance mechanisms in Escherichia coli.基于人群的大肠埃希菌中氨基糖苷类耐药机制的推断。
EBioMedicine. 2019 Aug;46:184-192. doi: 10.1016/j.ebiom.2019.07.020. Epub 2019 Jul 12.
2
The "Old" and the "New" Antibiotics for MDR Gram-Negative Pathogens: For Whom, When, and How.用于多重耐药革兰氏阴性病原体的“旧”抗生素与“新”抗生素：适用对象、时机及方式
Front Public Health. 2019 Jun 11;7:151. doi: 10.3389/fpubh.2019.00151. eCollection 2019.
3
Aminoglycoside Revival: Review of a Historically Important Class of Antimicrobials Undergoing Rejuvenation.氨基糖苷类药物的复兴：对一类正在经历复兴的具有历史重要性的抗菌药物的综述
EcoSal Plus. 2018 Nov;8(1). doi: 10.1128/ecosalplus.ESP-0002-2018.
4
History of Antibiotics Research.抗生素研究史
Curr Top Microbiol Immunol. 2016;398:237-272. doi: 10.1007/82_2016_499.
5
Characterization of extended-spectrum beta-lactamase, carbapenemase, and plasmid quinolone determinants in Klebsiella pneumoniae isolates carrying distinct types of 16S rRNA methylase genes, and their association with mobile genetic elements.携带不同类型16S rRNA甲基化酶基因的肺炎克雷伯菌分离株中广谱β-内酰胺酶、碳青霉烯酶和质粒喹诺酮决定簇的特征分析及其与可移动遗传元件的关联
Microb Drug Resist. 2015 Apr;21(2):186-93. doi: 10.1089/mdr.2014.0073. Epub 2014 Dec 3.
6
Antimicrobial susceptibility testing: a review of general principles and contemporary practices.抗菌药物敏感性测试：一般原则和当代实践的综述。
Clin Infect Dis. 2009 Dec 1;49(11):1749-55. doi: 10.1086/647952.
7
Interpretative reading: recognizing the unusual and inferring resistance mechanisms from resistance phenotypes.解读性阅读：识别异常情况并从耐药表型推断耐药机制。
J Antimicrob Chemother. 2001 Jul;48 Suppl 1:87-102. doi: 10.1093/jac/48.suppl_1.87.
8
Aminoglycosides: activity and resistance.氨基糖苷类：活性与耐药性。
Antimicrob Agents Chemother. 1999 Apr;43(4):727-37. doi: 10.1128/AAC.43.4.727.

Aminoglycoside resistance mechanism inference algorithm: Implication for underlying resistance mechanisms to aminoglycosides.

作者信息

Touati Abdelaziz

机构信息

Laboratoire d'Ecologie Microbienne, Université de Bejaia, 06000, Algeria.

出版信息

EBioMedicine. 2019 Aug;46:8. doi: 10.1016/j.ebiom.2019.07.045. Epub 2019 Jul 23.

DOI:10.1016/j.ebiom.2019.07.045
PMID:31350220
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6712273/
Abstract
摘要