Role of bacterial efflux pumps in antibiotic resistance, virulence, and strategies to discover novel efflux pump inhibitors

被引:111
作者
Gaurav, Amit [1 ]
Bakht, Perwez [1 ]
Saini, Mahak [1 ]
Pandey, Shivam [1 ]
Pathania, Ranjana [1 ]
机构
[1] Indian Inst Technol Roorkee, Dept Biosci & Bioengn, Roorkee, Uttarakhand, India
来源
MICROBIOLOGY-SGM | 2023年 / 169卷 / 05期
基金
英国惠康基金;
关键词
efflux pump; EPI; AcrAB-TolC; antibacterial adjuvants; Antibiotic resistance; machine learning; MULTIDRUG-RESISTANCE; PSEUDOMONAS-AERUGINOSA; ABC TRANSPORTERS; ANTIMICROBIAL RESISTANCE; ACINETOBACTER-BAUMANNII; NATURAL-PRODUCTS; ATPASE REDUCE; PROTEIN; BERBERINE; FAMILY;
D O I
10.1099/mic.0.001333
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
The problem of antibiotic resistance among pathogenic bacteria has reached a crisis level. The treatment options against infections caused by multiple drug-resistant bacteria are shrinking gradually. The current pace of the discovery of new antibacterial entities is lagging behind the rate of development of new resistance. Efflux pumps play a central role in making a bacterium resistant to multiple antibiotics due to their ability to expel a wide range of structurally diverse compounds. Besides providing an escape from antibacterial compounds, efflux pumps are also involved in bacterial stress response, virulence, biofilm formation, and altering host physiology. Efflux pumps are unique yet challenging targets for the discovery of novel efflux pump inhibitors (EPIs). EPIs could help rejuvenate our currently dried pipeline of antibacterial drug discovery. The current article highlights the recent developments in the field of efflux pumps, challenges faced during the development of EPIs and potential approaches for their development. Additionally, this review highlights the utility of resources such as natural products and machine learning to expand our EPIs arsenal using these latest technologies.
引用
收藏
页数:13
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