Diagnostic Performance of Metagenomic Next-Generation Sequencing in Central Nervous System Cryptococcosis Using Cerebrospinal Fluid

被引:4
|
作者
Zhang, Xuan [1 ]
Lin, Yaqing [2 ]
Chen, Huixin [1 ]
Hu, Jianhua [1 ]
Zhao, Hong [1 ]
Yang, Meifang [1 ]
Han, Dongsheng [3 ,4 ,5 ]
机构
[1] Zhejiang Univ, Sch Med,Affiliated Hosp 1,Natl Clin Res Ctr Infec, Collaborat Innovat Ctr Diag & Treatment Infect Di, Natl Med Ctr Infect Dis,State Key Lab Diag & Trea, Hangzhou, Zhejiang, Peoples R China
[2] Zhejiang Shuren Univ, Shulan Hangzhou Hosp, Shulan Int Med Coll, Hangzhou, Zhejiang, Peoples R China
[3] Zhejiang Univ, Sch Med, Affiliated Hosp 1, Dept Lab Med, Hangzhou, Zhejiang, Peoples R China
[4] Key Lab Clin Vitro Diagnost Techn Zhejiang Prov, Hangzhou, Zhejiang, Peoples R China
[5] Zhejiang Univ, Inst Lab Med, Hangzhou, Zhejiang, Peoples R China
来源
关键词
metagenomic next-generation sequencing; central nervous system cryptococcosis; cerebrospinal fluid; invasive fungal infection; MENINGITIS;
D O I
10.2147/IDR.S425463
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
Purpose: Metagenomic next-generation sequencing (mNGS) has been widely used to diagnose infectious diseases. However, there are few studies on its diagnostic performance in the central nervous system (CNS) cryptococcosis. This study examined the diagnostic efficacy of mNGS in identifying Cryptococcus spp. in cerebrospinal fluid (CSF) samples.Patients and Methods: From March 2021 to March 2023, 290 patients with suspected CNS infection were recruited from the First Affiliated Hospital, School of Medicine, Zhejiang University, and 74 patients were ultimately included in the study. Lastly, 22 patients with CNS cryptococcosis were included. Of these patients, 25 CSF samples were enrolled. The diagnostic performance of conventional assays [including India ink, cryptococcal antigen (CrAg) testing, and culture] and mNGS was evaluated for CNS cryptococcosis.Results: In the 25 samples collected, the coincidence rates of mNGS with India ink, CrAg, and culture were 64.0% (16/25), 80.0% (20/25), and 80.0% (20/25), respectively. Without antifungal drug exposure, the coincidence rates were increased to 66.7% (10/15), 100.0% (15/15), and 93.3% (14/15), respectively. The coincidence rates after antifungal therapy were all decreased to 60.0% (6/10), 50.0% (5/10), and 60.0% (6/10), respectively. Moreover, in the 25 samples, the sensitivity of mNGS reached 80.0%, and of India ink, CrAg testing, and culture were 68.0, 100.0, and 60.0%, respectively. The mNGS showed an excellent positive rate (100.0%) in the 15 samples collected without antifungal drug exposure, which was significantly higher than the antifungal drug-exposed group (n = 10) (50.0%) (P = 0.005). The reads of Cryptococcus spp. before antifungal therapy were significantly higher than after it (median, 25,915 vs 2, P = 0.008).Conclusion: mNGS is an effective tool for diagnosing CNS cryptococcosis using CSF; however, its sensitivity decreases considerably in patients who have been effectively treated with antifungal drugs.
引用
收藏
页码:6175 / 6183
页数:9
相关论文
共 50 条
  • [1] Metagenomic Next-Generation Sequencing in Central Nervous System Angiostrongyliasis
    Qiong Liao
    Yu Zhu
    Yang Wen
    Indian Pediatrics, 2022, 59 : 426 - 427
  • [2] Metagenomic Next-Generation Sequencing in Central Nervous System Angiostrongyliasis
    Liao, Qiong
    Zhu, Yu
    Wen, Yang
    INDIAN PEDIATRICS, 2022, 59 (05) : 426 - 427
  • [3] Next-generation Sequencing of Cerebrospinal Fluid for the Diagnosis of Unexplained Central Nervous System Infections
    Li, Zhen Yu
    Dang, Dan
    Wu, Hui
    PEDIATRIC NEUROLOGY, 2021, 115 : 10 - 20
  • [4] Evaluating Cancer of the Central Nervous System Through Next-Generation Sequencing of Cerebrospinal Fluid
    Pentsova, Elena I.
    Shah, Ronak H.
    Tang, Jiabin
    Boire, Adrienne
    You, Daoqi
    Briggs, Samuel
    Omuro, Antonio
    Lin, Xuling
    Fleisher, Martin
    Grommes, Christian
    Panageas, Katherine S.
    Meng, Fanli
    Selcuklu, S. Duygu
    Ogilvie, Shahiba
    Distefano, Natalie
    Shagabayeva, Larisa
    Rosenblum, Marc
    DeAngelis, Lisa M.
    Viale, Agnes
    Mellinghoff, Ingo K.
    Berger, Michael F.
    JOURNAL OF CLINICAL ONCOLOGY, 2016, 34 (20) : 2404 - U172
  • [5] Diagnostic performance of metagenomic next-generation sequencing for the detection of pathogens in cerebrospinal fluid in pediatric patients with central nervous system infection: a systematic review and meta-analysis
    Sike He
    Ying Xiong
    Teng Tu
    Jiaming Feng
    Yu Fu
    Xu Hu
    Neng Wang
    Dapeng Li
    BMC Infectious Diseases, 24
  • [6] Diagnostic performance of metagenomic next-generation sequencing for the detection of pathogens in cerebrospinal fluid in pediatric patients with central nervous system infection: a systematic review and meta-analysis
    He, Sike
    Xiong, Ying
    Tu, Teng
    Feng, Jiaming
    Fu, Yu
    Hu, Xu
    Wang, Neng
    Li, Dapeng
    BMC INFECTIOUS DISEASES, 2024, 24 (01)
  • [7] Metagenomic next-generation sequencing of cerebrospinal fluid reveals etiological and microbiological features in patients with various central nervous system infections
    Wang, Xiaojuan
    Xu, Huan
    Qin, Lingzhi
    Wang, Huimin
    Jiang, Yushu
    Liu, Huiqin
    Zhang, Milan
    Pang, Rui
    Wu, Wencai
    Li, Wei
    FASEB JOURNAL, 2024, 38 (14):
  • [8] Detection of Neoplasms by Metagenomic Next-Generation Sequencing of Cerebrospinal Fluid
    Gu, Wei
    Rauschecker, Andreas M.
    Hsu, Elaine
    Zorn, Kelsey C.
    Sucu, Yasemin
    Federman, Scot
    Gopez, Allan
    Arevalo, Shaun
    Sample, Hannah A.
    Talevich, Eric
    Nguyen, Eric D.
    Gottschall, Marc
    Nourbakhsh, Bardia
    Gold, Carl A.
    Cree, Bruce A. C.
    Douglas, Vanja C.
    Richie, Megan B.
    Shah, Maulik P.
    Josephson, S. Andrew
    Gelfand, Jeffrey M.
    Miller, Steve
    Wang, Linlin
    Tihan, Tarik
    DeRisi, Joseph L.
    Chiu, Charles Y.
    Wilson, Michael R.
    JAMA NEUROLOGY, 2021, 78 (11) : 1355 - 1366
  • [9] Inconsistency analysis between metagenomic next-generation sequencing results of cerebrospinal fluid and clinical diagnosis with suspected central nervous system infection
    Wang, Jin
    Ye, Jun
    Yang, Liqi
    Chen, Xiangfeng
    Fang, Haoshu
    Liu, Zhou
    Xia, Guomei
    Zhang, Yafei
    Zhang, Zhenhua
    BMC INFECTIOUS DISEASES, 2022, 22 (01)
  • [10] Microbiomes detected by cerebrospinal fluid metagenomic next-generation sequencing among patients with and without HIV with suspected central nervous system infection
    Zou, Shi
    Chen, Zhong
    Tan, Yuting
    Tan, Miao
    Guo, Wei
    Wu, Songjie
    Liu, Jie
    Song, Shihui
    Peng, Yongquan
    Wang, Min
    Liang, Ke
    HIV MEDICINE, 2024, 25 (07) : 794 - 804