Repository of Research and Investigative Information

Repository of Research and Investigative Information

Bam University of Medical Sciences

CRISPR-Cas system as a promising player against bacterial infection and antibiotic resistance

(2023) CRISPR-Cas system as a promising player against bacterial infection and antibiotic resistance. Drug Resistance Updates. p. 18. ISSN 1368-7646

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Abstract

The phenomenon of antibiotic resistance (AR) and its increasing global trends and destructive waves concerns patients and the healthcare system. In order to combat AR, it is necessary to explore new strategies when the current antibiotics fail to be effective. Thus, knowing the resistance mechanisms and appropriate diagnosis of bacterial infections may help enhance the sensitivity and specificity of novel strategies. On the other hand, resistance to antimicrobial compounds can spread from resistant populations to susceptible ones. Antimicrobial resistance genes (ARGs) significantly disseminate AR via horizontal and vertical gene transfer. The clustered regularly interspaced short palindromic repeats (CRISPR)-Cas system is a member of the bacterial immune system with the ability to remove the ARGs; therefore, it can be introduced as an effective and innovative strategy in the battle against AR. Here, we reviewed CRISPR-based bacterial diagnosis technologies. Moreover, the strategies to battle AR based on targeting bacterial chromosomes and resistance plasmids using the CRISPR-Cas system have been explained. Besides, we have presented the limitations of CRISPR delivery and potential solutions to help improve the future development of CRISPR-based platforms.

Item Type: Article
Keywords: Antibiotic Resistance Bacterial infection Antibiotics Antimicrobial resistance CRISPR-Cas sensitive detection escherichia-coli evolutionary classification isothermal amplification pseudomonas-aeruginosa klebsiella-pneumoniae e. coli rna virulence gene Pharmacology & Pharmacy
Divisions:
Page Range: p. 18
Journal or Publication Title: Drug Resistance Updates
Journal Index: ISI
Volume: 68
Identification Number: https://doi.org/10.1016/j.drup.2023.100948
ISSN: 1368-7646
Depositing User: مهندس مهدی شریفی
URI: http://eprints.mubam.ac.ir/id/eprint/1511

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