AUTHOR=Cai Yuanqing , Ding Haiqi , Chen Xiaoqing , Chen Yang , Huang Changyu , Zhang Chaofan , Huang Zida , Huang Ying , Li Wenbo , Zhang Wenming , Fang Xinyu 

TITLE=Optimization and standardization of mNGS-based procedures for the diagnosis of Mycoplasma periprosthetic joint infection: A novel diagnostic strategy for rare bacterial periprosthetic joint infection

JOURNAL=Frontiers in Cellular and Infection Microbiology

VOLUME=13

YEAR=2023

URL=https://www.frontiersin.org/journals/cellular-and-infection-microbiology/articles/10.3389/fcimb.2023.1089919

DOI=10.3389/fcimb.2023.1089919

ISSN=2235-2988

ABSTRACT=<sec><title>Introduction</title><p>The diagnosis of <italic>Mycoplasma</italic> periprosthetic joint infection (PJI) is rather difficult due to its rarity and difficult in isolation, there are not standardized diagnostic procedure for <italic>Mycoplasma</italic> PJI presently. This study aimed to reported a metagenomic next-generation sequencing (mNGS)-based diagnostic strategy for <italic>Mycoplasma</italic> PJI.</p></sec><sec><title>Methods</title><p>In the present study, we have reported the largest number of <italic>Mycoplasma</italic> PJI that were precisely diagnosed by mNGS and verified by optimized microbial culture methods and (or) 16S PCR polymerase chain reaction (PCR).</p></sec><sec><title>Results</title><p>The positive rate of optimized microbial culture methods and 16S PCR in the detection of <italic>Mycoplasma</italic> PJI was 57.14% and 71.43%, respectively. The infections were well controlled by targeted treatment in all cases.</p></sec><sec><title>Conclusion</title><p>The standardized and optimized procedure based on mNGS presented in this study is useful for the diagnosis of <italic>Mycoplasma</italic> PJI, which might also be provided as a novel diagnostic strategy for rare bacterial PJI. </p></sec>