Pathogenic Detection by Metagenomic Next-Generation Sequencing in Osteoarticular Infections

被引:41
|
作者
Huang, Zi-da [1 ]
Zhang, Zi-jie [1 ]
Yang, Bin [2 ]
Li, Wen-bo [1 ]
Zhang, Chong-jing [1 ]
Fang, Xin-yu [1 ]
Zhang, Chao-fan [1 ]
Zhang, Wen-ming [1 ]
Lin, Jian-hua [1 ]
机构
[1] Fujian Med Univ, Dept Orthopaed Surg, Affiliated Hosp 1, Fuzhou, Peoples R China
[2] Fujian Med Univ, Dept Lab Med, Affiliated Hosp 1, Fuzhou, Peoples R China
基金
中国国家自然科学基金;
关键词
metagenomic next-generation sequencing; osteoarticular infection; pathogen; diagnosis; culture; PROSTHETIC JOINT INFECTION; DIAGNOSIS; DNA; EPIDEMIOLOGY; SONICATION; MANAGEMENT; IMPACT; FLUID;
D O I
10.3389/fcimb.2020.00471
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Objectives:To evaluate metagenomic next-generation sequencing (mNGS) as a diagnostic tool in detecting pathogens from osteoarticular infection (OAI) samples. Methods:130 samples of joint fluid, sonicate fluid, and tissue were prospectively collected from 92 patients with OAI. The performance of mNGS and microbiology culture was compared pairwise. Results:The overall sensitivity of mNGS was 88.5% (115/130), significantly higher than that of microbiological culture, which had a sensitivity of 69.2% (90/130,p< 0.01). Sensitivity was significantly higher for joint fluid (mNGS: 86.7% vs. microbiology culture: 68.7%,p< 0.01) and sonicate fluid (mNGS: 100% vs. microbiology culture: 66.7%,p< 0.05) samples. mNGS detected 12 pathogenic strains undetected by microbiological culture. Additional pathogens detected by mNGS wereCoagulase-negative Staphylococci, Gram-negative Bacillus, Streptococci, Anaerobe, non-tuberculosis mycobacterium, MTCP(p> 0.05), andMycoplasma(OR = infinity, 95% confidence interval, 5.12-infinity,p< 0.001). Additionally, sensitivity by mNGS was higher in antibiotic-treated samples compared to microbiological culture (89.7 vs. 61.5%,p< 0.01). Conclusions:mNGS is a robust diagnostic tool for pathogenic detection in samples from OAI patients, compared to routine cultures. The mNGS technique is particularly valuable to diagnose pathogens that are difficult to be cultured, or to test samples from patients previously treated with antibiotics.
引用
收藏
页数:10
相关论文
共 50 条
  • [41] Metagenomic next-generation sequencing provides prognostic warning by identifying mixed infections in nocardiosis
    Jiao, Mengfan
    Ma, Xiaoxu
    Li, Yaoguang
    Wang, Huifen
    Liu, Ying
    Guo, Wenhu
    Lv, Jun
    [J]. FRONTIERS IN CELLULAR AND INFECTION MICROBIOLOGY, 2022, 12
  • [42] Metagenomic study of bacterial microbiota in persistent endodontic infections using Next-generation sequencing
    Sanchez-Sanhueza, G.
    Bello-Toledo, H.
    Gonzalez-Rocha, G.
    Goncalves, A. T.
    Valenzuela, V.
    Gallardo-Escarate, C.
    [J]. INTERNATIONAL ENDODONTIC JOURNAL, 2018, 51 (12) : 1336 - 1348
  • [43] Diagnostic Efficacy of Metagenomic Next-Generation Sequencing in Patients with Spinal Infections: A Retrospective Study
    Cheng, Hanwen
    Wu, Haoyu
    Tan, Ni
    Liu, Zhuojie
    Wang, Ning
    Chen, Ningyi
    Li, Chunhai
    [J]. INFECTION AND DRUG RESISTANCE, 2023, 16 : 7613 - 7620
  • [44] Clinical Evaluation of an Improved Metagenomic Next-Generation Sequencing Test for the Diagnosis of Bloodstream Infections
    Jing, Chendi
    Chen, Hongbin
    Liang, Yong
    Zhong, Ying
    Wang, Qi
    Li, Lifeng
    Sun, Shijun
    Guo, Yifan
    Wang, Ruobing
    Jiang, Zhi
    Wang, Hui
    [J]. CLINICAL CHEMISTRY, 2021, 67 (08) : 1133 - 1143
  • [45] Metagenomic Next-Generation Sequencing for the Diagnosis of Suspected Opportunistic Infections in People Living with HIV
    Xu, Jingying
    Huang, Qian
    Yu, Jianhua
    Liu, Shourong
    Yang, Zongxing
    Wang, Fei
    Shi, Yue
    Li, Er
    Li, Zhaoyi
    Xiao, Yunlei
    [J]. INFECTION AND DRUG RESISTANCE, 2022, 15 : 1767 - 1775
  • [46] Optimal selection of specimens for metagenomic next-generation sequencing in diagnosing periprosthetic joint infections
    Tan, Jun
    Wu, Lingxiao
    Zhan, Lijuan
    Sheng, Minkui
    Tang, Zhongxin
    Xu, Jianzhong
    Ma, Haijun
    [J]. FRONTIERS IN CELLULAR AND INFECTION MICROBIOLOGY, 2024, 14
  • [47] Rapid pathogen detection by metagenomic next-generation sequencing of infected body fluids
    Gu, Wei
    Deng, Xianding
    Lee, Marco
    Sucu, Yasemin D.
    Arevalo, Shaun
    Stryke, Doug
    Federman, Scot
    Gopez, Allan
    Reyes, Kevin
    Zorn, Kelsey
    Sample, Hannah
    Yu, Guixia
    Ishpuniani, Gurpreet
    Briggs, Benjamin
    Chow, Eric D.
    Berger, Amy
    Wilson, Michael R.
    Wang, Candace
    Hsu, Elaine
    Miller, Steve
    DeRisi, Joseph L.
    Chiu, Charles Y.
    [J]. NATURE MEDICINE, 2021, 27 (01) : 115 - +
  • [48] Validation of a Metagenomic Next-Generation Sequencing Assay for Lower Respiratory Pathogen Detection
    Diao, Zhenli
    Lai, Huiying
    Han, Dongsheng
    Yang, Bin
    Zhang, Rui
    Li, Jinming
    [J]. MICROBIOLOGY SPECTRUM, 2023, 11 (01):
  • [49] Rapid pathogen detection by metagenomic next-generation sequencing of infected body fluids
    Wei Gu
    Xianding Deng
    Marco Lee
    Yasemin D. Sucu
    Shaun Arevalo
    Doug Stryke
    Scot Federman
    Allan Gopez
    Kevin Reyes
    Kelsey Zorn
    Hannah Sample
    Guixia Yu
    Gurpreet Ishpuniani
    Benjamin Briggs
    Eric D. Chow
    Amy Berger
    Michael R. Wilson
    Candace Wang
    Elaine Hsu
    Steve Miller
    Joseph L. DeRisi
    Charles Y. Chiu
    [J]. Nature Medicine, 2021, 27 : 115 - 124
  • [50] Detection of Cryptococcus DNA by Metagenomic Next-generation Sequencing in Symptomatic Cryptococcal Antigenemia
    Ramachandran, Prashanth S.
    Cresswell, Fiona V.
    Meya, David B.
    Langelier, Charles
    Crawford, Emily D.
    DeRisi, Joseph L.
    Boulware, David R.
    Wilson, Michael R.
    [J]. CLINICAL INFECTIOUS DISEASES, 2019, 68 (11) : 1978 - 1979