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

被引:7
|
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
  • [31] The microbiological diagnostic performance of metagenomic next-generation sequencing in patients with sepsis
    Ren, Di
    Ren, Chao
    Yao, Renqi
    Zhang, Lin
    Liang, Xiaomin
    Li, Guiyun
    Wang, Jiaze
    Meng, Xinke
    Liu, Jia
    Ye, Yu
    Li, Haoli
    Wen, Sha
    Chen, Yanhong
    Zhou, Dan
    He, Xisi
    Li, Xiaohong
    Lai, Kai
    Li, Ying
    Gui, Shuiqing
    BMC INFECTIOUS DISEASES, 2021, 21 (01)
  • [32] Metagenomic next-generation sequencing of cerebrospinal fluid: a diagnostic approach for varicella zoster virus-related encephalitis
    Tang, Jin
    Wang, Kaimeng
    Xu, Haoming
    Han, Jingzhe
    FRONTIERS IN CELLULAR AND INFECTION MICROBIOLOGY, 2024, 14
  • [33] Seven-year performance of a clinical metagenomic next-generation sequencing test for diagnosis of central nervous system infections
    Benoit, Patrick
    Brazer, Noah
    de Lorenzi-Tognon, Mikael
    Kelly, Emily
    Servellita, Venice
    Oseguera, Miriam
    Nguyen, Jenny
    Tang, Jack
    Omura, Charles
    Streithorst, Jessica
    Hillberg, Melissa
    Ingebrigtsen, Danielle
    Zorn, Kelsey
    Wilson, Michael R.
    Blicharz, Tim
    Wong, Amy P.
    O'Donovan, Brian
    Murray, Brad
    Miller, Steve
    Chiu, Charles Y.
    NATURE MEDICINE, 2024, 30 (12) : 3522 - 3533
  • [34] Diagnosis of cytomegalovirus encephalitis using metagenomic next-generation sequencing of blood and cerebrospinal fluid: A case report
    Chang-Qing Xu
    Xia-Ling Chen
    Dong-Sheng Zhang
    Jia-Wei Wang
    Hong Yuan
    Wei-Fan Chen
    Han Xia
    Zhong-Yin Zhang
    Fu-Hua Peng
    World Journal of Clinical Cases, 2022, (14) : 4601 - 4607
  • [35] Enhanced Detection of DNA Viruses in the Cerebrospinal Fluid of Encephalitis Patients Using Metagenomic Next-Generation Sequencing
    Manso, Carmen F.
    Bibby, David F.
    Mohamed, Hodan
    Brown, David W. G.
    Zuckerman, Mark
    Mbisa, Jean L.
    FRONTIERS IN MICROBIOLOGY, 2020, 11
  • [36] Diagnosis of cytomegalovirus encephalitis using metagenomic next-generation sequencing of blood and cerebrospinal fluid: A case report
    Xu, Chang-Qing
    Chen, Xia-Ling
    Zhang, Dong-Sheng
    Wang, Jia-Wei
    Yuan, Hong
    Chen, Wei-Fan
    Xia, Han
    Zhang, Zhong-Yin
    Peng, Fu-Hua
    WORLD JOURNAL OF CLINICAL CASES, 2022, 10 (14) : 4601 - 4607
  • [37] Central nervous system nocardiosis diagnosed by metagenomic next-generation sequencing: A case series and literature review
    Yuan, Dasen
    Shen, Liping
    Qin, Bang-e
    Xu, Xiaofeng
    Su, Zhihui
    Liu, Jia
    Xia, Han
    Peng, Fuhua
    Jiang, Ying
    ADVANCES IN CLINICAL AND EXPERIMENTAL MEDICINE, 2023, 32 (12): : 1453 - 1463
  • [38] Metagenomic next-generation sequencing for identification of central nervous system pathogens in HIV-infected patients
    Zhu, Yunqi
    Zhao, Wenxuan
    Yang, Xihong
    Zhang, Yuanyuan
    Lin, Xiaoling
    Weng, Xing
    Wang, Yali
    Cheng, Cong
    Chi, Yun
    Wei, Hongxia
    Peng, Zhihang
    Hu, Zhiliang
    FRONTIERS IN MICROBIOLOGY, 2022, 13
  • [39] Metagenomic Next-Generation Sequencing for Pathogen Detection and Transcriptomic Analysis in Pediatric Central Nervous System Infections
    Ramchandar, Nanda
    Coufal, Nicole G.
    Warden, Anna S.
    Briggs, Benjamin
    Schwarz, Toni
    Stinnett, Rita
    Xie, Heng
    Schlaberg, Robert
    Foley, Jennifer
    Clarke, Christina
    Waldeman, Bryce
    Enriquez, Claudia
    Osborne, Stephanie
    Arrieta, Antonio
    Salyakina, Daria
    Janvier, Michelin
    Sendi, Prithvi
    Totapally, Balagangadhar R.
    Dimmock, David
    Farnaes, Lauge
    OPEN FORUM INFECTIOUS DISEASES, 2021, 8 (06):
  • [40] Clinical application and evaluation of metagenomic next-generation sequencing in suspected adult central nervous system infection
    Zhang, Yi
    Cui, Peng
    Zhang, Hao-Cheng
    Wu, Hong-Long
    Ye, Ming-Zhi
    Zhu, Yi-Min
    Ai, Jing-Wen
    Zhang, Wen-Hong
    JOURNAL OF TRANSLATIONAL MEDICINE, 2020, 18 (01)