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ESKAPE 病原体中的抗生素耐药性诊断——蛋白质组学视角综述

Antibiotic Resistance Diagnosis in ESKAPE Pathogens-A Review on Proteomic Perspective.

作者信息

Kalpana Sriram, Lin Wan-Ying, Wang Yu-Chiang, Fu Yiwen, Lakshmi Amrutha, Wang Hsin-Yao

机构信息

Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan 333423, Taiwan.

Syu Kang Sport Clinic, Taipei 112053, Taiwan.

出版信息

Diagnostics (Basel). 2023 Mar 7;13(6):1014. doi: 10.3390/diagnostics13061014.

Abstract

Antibiotic resistance has emerged as an imminent pandemic. Rapid diagnostic assays distinguish bacterial infections from other diseases and aid antimicrobial stewardship, therapy optimization, and epidemiological surveillance. Traditional methods typically have longer turn-around times for definitive results. On the other hand, proteomic studies have progressed constantly and improved both in qualitative and quantitative analysis. With a wide range of data sets made available in the public domain, the ability to interpret the data has considerably reduced the error rates. This review gives an insight on state-of-the-art proteomic techniques in diagnosing antibiotic resistance in ESKAPE pathogens with a future outlook for evading the "imminent pandemic".

摘要

抗生素耐药性已成为一场迫在眉睫的大流行。快速诊断检测可区分细菌感染与其他疾病,并有助于抗菌管理、治疗优化和流行病学监测。传统方法通常需要更长的周转时间才能得到明确结果。另一方面,蛋白质组学研究不断进步,在定性和定量分析方面都有所改进。随着公共领域提供了大量数据集,数据解读能力已大幅降低了错误率。本综述深入探讨了用于诊断ESKAPE病原体中抗生素耐药性的最新蛋白质组学技术,并展望了规避这场“迫在眉睫的大流行”的未来前景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44d1/10047325/b12574bfdb65/diagnostics-13-01014-g001.jpg

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