文献类型：期刊文献

中文题名：肺炎支原体耐药现状及耐药基因检测方法研究进展

英文题名：Current status of drug resistance and advances in resistance gene detection methods for mycoplasma pneumoniae

作者：王瑞瑞[1];陈霞[1];彭黔渝[1];吕妍励[1];丁丽红[1];杨波[1];魏莲花[2]

第一作者：王瑞瑞

机构：[1]甘肃中医药大学公共卫生学院,兰州730000;[2]甘肃省人民医院临床检验中心,兰州730000

第一机构：甘肃中医药大学公共卫生学院

年份：2026

卷号：49

期号：4

起止页码：481

中文期刊名：中华检验医学杂志

外文期刊名：Chinese Journal of Laboratory Medicine

收录：;北大核心:【北大核心2023】；

基金：国家自然科学基金(82560412)。

语种：中文

中文关键词：支原体,肺炎;耐药基因;检测方法

外文关键词：Mycoplasma pneumoniae;Drug resistance gene;Detection method

摘要：肺炎支原体(MP)是引起社区获得性肺炎的关键病原体之一。近年来,随着大环内酯类抗生素的广泛使用,其耐药性问题日益突出,给临床治疗带来挑战。MP的耐药机制主要与23S rRNA基因突变有关,常见的突变位点包括A2063G和A2064G等。为应对耐药性问题,目前已开发了多种耐药基因检测方法,包括基于核酸扩增技术的常规PCR、实时PCR、巢式PCR、环介导探针裂解PCR、肽核酸介导的环介导等温扩增,基于测序技术的焦磷酸测序(PSQ)、全基因组测序(WGS),基于杂交技术的限制性片段长度多态性分析(RFLP)和斑点杂交技术(DBH),以及一些新兴检测技术,如质谱技术、CRISPR-Cas检测系统、GENECUBE?和Smart Gene?耐药检测系统。这些方法各有优势,为临床快速诊断和精准用药提供了重要支持。本文综述了MP的耐药现状及耐药基因检测方法的研究进展,旨在为临床治疗和耐药监测提供参考依据。展望未来,融合多组学技术与人工智能分析,有望优化耐药基因检测方法,推动MP感染的精准防控工作。
Mycoplasma pneumoniae(MP)is a key pathogen that causes community-acquired pneumonia.In recent years,with the widespread use of macrolide antibiotics,the drug resistance of MP has become increasingly prominent,posing challenges to clinical treatment.The resistance mechanism of MP is primarily related to mutations in the 23S rRNA gene,with common mutation sites including A2063G and A2064G.To address these resistance issues,various resistance gene detection methods have been developed,including nucleic acid amplification-based techniques(conventional PCR,real-time PCR,nested PCR,cycleave PCR,and peptide nucleic acid-mediated loop-mediated isothermal amplification);sequencing-based techniques[pyrosequencing(PSQ)and whole-genome sequencing(WGS)];hybridization-based techniques[restriction fragment length polymorphism(RFLP)and dot blot hybridization(DBH)];and several emerging detection technologies[mass spectrometry,(clustered regularly interspaced short palindromic repeats-CRISPR associated protein,CRISPR-Cas)systems,GENECUBE?and Smart Gene?systems].Each of these methods offers unique advantages,providing important support for rapid clinical diagnosis and precise medication.This article reviews the current resistance status of MP and the research progress on these detection methods to provide a reference for clinical treatment and monitoring.Looking ahead,integrating multi-omics technologies with artificial intelligence-assisted analysis is expected to optimize resistance gene detection and advance the precise prevention and control of MP infections.