Metagenomic Next-Generation Sequencing Reveals the Profile of Viral Infections in Kidney Transplant Recipients During the COVID-19 Pandemic

被引:5
|
作者
Tian, Xiangyong [1 ]
Duan, Wenjing [2 ]
Zhang, Xiulei [3 ]
Wu, Xiaoqiang [1 ]
Zhang, Chan [1 ]
Wang, Zhiwei [1 ]
Cao, Guanghui [1 ]
Gu, Yue [4 ]
Shao, Fengmin [4 ]
Yan, Tianzhong [1 ]
机构
[1] Henan Univ Peoples Hosp, Zhengzhou Univ Peoples Hosp, Henan Prov Peoples Hosp, Henan Prov Clin Res Ctr Kidney Dis, Zhengzhou, Peoples R China
[2] Henan Univ Peoples Hosp, Zhengzhou Univ Peoples Hosp, Henan Prov Peoples Hosp, Dept Clin Res Ctr, Zhengzhou, Peoples R China
[3] Henan Univ Peoples Hosp, Zhengzhou Univ Peoples Hosp, Henan Prov Peoples Hosp, Microbiol Lab, Zhengzhou, Peoples R China
[4] Henan Univ Peoples Hosp, Zhengzhou Univ Peoples Hosp, Henan Prov Peoples Hosp, Henan Prov Clin Res Ctr Kidney Dis,Henan Prov Key, Zhengzhou, Peoples R China
关键词
metagenomic next-generation sequencing; kidney transplantation; infection; virus; torque teno virus; PARVOVIRUS B19; BK; ENCEPHALITIS; CLUSTER; VIRUSES; TIME; RISK;
D O I
10.3389/fpubh.2022.888064
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
BackgroundTo study the clinical application of metagenomic next-generation sequencing (mNGS) in the detection of viral infections in kidney transplant recipients (KTRs) during the COVID-19 pandemic. MethodsUsing mNGS technology, 50 human fluid samples of KTRs were detected, including 20 bronchoalveolar lavage fluid (BALF) samples, 21 urine samples and 9 blood samples. The detected nucleic acid sequences were compared and analyzed with the existing viral nucleic acid sequences in the database, and the virus infection spectrum of KTRs was drawn. ResultsThe viral nucleic acids of 15 types of viruses were detected in 96.00% (48/50) of the samples, of which 11 types of viruses were in BALF (95.00%, 19/20), and the dominant viruses were torque teno virus (TTV) (65.00%; 13/20), cytomegalovirus (CMV) (45.00%; 9/20) and human alphaherpesvirus 1 (25.00%; 5/20). 12 viruses (95.24%, 20/21) were detected in the urine, and the dominant viruses were TTV (52.38%; 11/21), JC polyomavirus (52.38%; 11/21), BK polyomavirus (42.86%; 9/21), CMV (33.33%; 7/21) and human betaherpesvirus 6B (28.57%; 6/21). 7 viruses were detected in the blood (100.00%, 9/9), and the dominant virus was TTV (100.00%; 9/9). Four rare viruses were detected in BALF and urine, including WU polyomavirus, primate bocaparvovirus 1, simian virus 12, and volepox virus. Further analysis showed that TTV infection with high reads indicated a higher risk of acute rejection (P < 0.05). ConclusionsmNGS detection reveals the rich virus spectrum of infected KTRs, and improves the detection rate of rare viruses. TTV may be a new biomarker for predicting rejection.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] Metagenomic Next-Generation Sequencing Reveals the Profile of Viral Infections in Kidney Transplant Recipients During the Covid-19 Pandemic.
    Tian, X.
    Duan, W.
    Zhang, C.
    Wu, X.
    Yan, T.
    AMERICAN JOURNAL OF TRANSPLANTATION, 2022, 22 : 572 - 572
  • [2] Metagenomic Next-Generation Sequencing for Diagnosing Infections in Lung Transplant Recipients: A Retrospective Study
    Ju, Chun-Rong
    Lian, Qiao-Yan
    Guan, Wei-Jie
    Chen, Ao
    Zhang, Jian-Heng
    Xu, Xin
    Chen, Rong-Chang
    Li, Shi-Yue
    He, Jian-Xing
    TRANSPLANT INTERNATIONAL, 2022, 36
  • [3] Next-Generation Sequencing Reveals the Progression of COVID-19
    Chen, Xiaomin
    Kang, Yutong
    Luo, Jing
    Pang, Kun
    Xu, Xin
    Wu, Jinyu
    Li, Xiaokun
    Jin, Shengwei
    FRONTIERS IN CELLULAR AND INFECTION MICROBIOLOGY, 2021, 11
  • [4] Application of metagenomic next-generation sequencing in the diagnosis and treatment of recurrent urinary tract infection in kidney transplant recipients
    Duan, Wenjing
    Yang, Yongguang
    Zhao, Jingge
    Yan, Tianzhong
    Tian, Xiangyong
    FRONTIERS IN PUBLIC HEALTH, 2022, 10
  • [5] Metagenomic Next-Generation Sequencing for Periprosthetic Joint Infections
    Cretu, Bogdan
    Iordache, Sergiu
    Cursaru, Adrian
    Serban, Bogdan
    Costache, Mihai
    Cirstoiu, Catalin
    Spiridonica, Razvan
    CUREUS JOURNAL OF MEDICAL SCIENCE, 2023, 15 (05)
  • [6] Metagenomic next-generation sequencing aids the diagnosis of viral infections in febrile returning travellers
    Jerome, Hanna
    Taylor, Callum
    Sreenu, Vattipally B.
    Klymenko, Tanya
    Filipe, Ana Da Silva
    Jackson, Celia
    Davis, Chris
    Ashraf, Shirin
    Wilson-Davies, Eleri
    Jesudason, Natasha
    Devine, Karen
    Harder, Lisbeth
    Aitken, Celia
    Gunson, Rory
    Thomson, Emma C.
    JOURNAL OF INFECTION, 2019, 79 (04) : 383 - 388
  • [7] Application of metagenomic next-generation sequencing and targeted metagenomic next-generation sequencing in diagnosing pulmonary infections in immunocompetent and immunocompromised patients
    Liu, Yong
    Wu, Wencai
    Xiao, Yunping
    Zou, Hongyan
    Hao, Sijia
    Jiang, Yanfang
    FRONTIERS IN CELLULAR AND INFECTION MICROBIOLOGY, 2024, 14
  • [8] Metagenomic next-generation sequencing of nasopharyngeal microbiota in COVID-19 patients with different disease severities
    Aljabr, Waleed
    Dandachi, Iman
    Abbas, Basma
    Karkashan, Alaa
    Al-Amari, Ahod
    AlShahrani, Dayel
    MICROBIOLOGY SPECTRUM, 2024, 12 (05):
  • [9] Collateral Effects and Mortality of Kidney Transplant Recipients during the COVID-19 Pandemic
    Schmidt-Lauber, Christian
    Guenster, Christian
    Huber, Tobias B.
    Spoden, Melissa
    Grahammer, Florian
    KIDNEY360, 2022, 3 (02): : 325 - 336
  • [10] Optimization of Early Antimicrobial Strategies for Lung Transplant Recipients Based on Metagenomic Next-Generation Sequencing
    Zhang, Xiao-Qin
    Lei, Yu
    Tan, Xiao-Li
    Guo, Lu
    Huang, Xiao-Bo
    Yang, Fu-Xun
    Yu, Hua
    Liu, Xiao-Shu
    Wang, Yi-Ping
    Lu, Sen
    Pan, Ling-Ai
    FRONTIERS IN MICROBIOLOGY, 2022, 13