Respiratory Adenovirus Quantification with a Droplet Digital Polymerase Chain Reaction (ddPCR) Assay

被引:6
作者
Abdullah, Omar [1 ]
Fall, Amary [1 ]
Forman, Michael [1 ]
Howard, Craig [1 ]
Klein, Eili [2 ,3 ]
Mostafa, Heba H. [1 ]
机构
[1] Johns Hopkins Sch Med, Dept Pathol, Div Med Microbiol, Baltimore, MD 21287 USA
[2] Johns Hopkins Sch Med, Dept Emergency Med, Baltimore, MD USA
[3] Ctr Dis Dynam Econ & Policy, Washington, DC USA
基金
美国国家卫生研究院;
关键词
adenovirus; droplet digital PCR; ddPCR; DISEASE SEVERITY; LOAD; INFECTIONS; PCR;
D O I
10.1128/spectrum.00269-23
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Human adenoviruses (HAdVs) are double-stranded DNA viruses that can cause a wide spectrum of disease, including respiratory infections. Little is known about the value of respiratory HAdV quantification and its correlation with disease severity. In this study, we developed a quantitative HAdV droplet digital PCR (ddPCR) assay to study the association between viral loads, circulating types, and clinical outcomes. Remnant respiratory specimens positive for HAdV after the standard of care testing were collected from December 2020 to April 2022. A total of 129 samples were tested by a ddPCR method. Typing was performed using Nanopore sequencing of the hexon gene hypervariable region. Clinical chart reviews were performed to correlate the viral loads with the disease severity. The ddPCR assay showed an analytical sensitivity and a lower limit of quantification below 100 copies/mL. Of 129 positive clinical samples, 100 were quantified by ddPCR, 7 were too concentrated to be quantified, and 22 were negative. Of the 22 false negatives, only 3 were successfully typed; however, 99 of the 107 positive samples had a characterized genotype. The main HAdV types identified in this cohort were C1 (49.5%) followed by C2 (34.3%). No significant difference in HAdV loads was noted between patients who were admitted, those who required supplemental oxygen, and outpatients or between different HAdV types. HAdV ddPCR is a reliable absolute quantification approach for HAdV from respiratory samples. HAdV loads at initial presentation does not appear to differ between patients who require hospitalization versus outpatients.
引用
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页数:9
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共 27 条
  • [21] Evaluation of cycle threshold values at deisolation
    Mowrer, Clayton T.
    Creager, Hannah
    Cawcutt, Kelly
    Birge, Justin
    Lyden, Elizabeth
    Van Schooneveld, Trevor C.
    Rupp, Mark E.
    Hewlett, Angela
    [J]. INFECTION CONTROL AND HOSPITAL EPIDEMIOLOGY, 2022, 43 (06) : 794 - 796
  • [22] Comparative Performance of the Luminex NxTAG Respiratory Pathogen Panel, GenMark eSensor Respiratory Viral Panel, and BioFire FilmArray Respiratory Panel
    Popowitch, Elena B.
    Kaplan, Sam
    Wu, Zenglin
    Tang, Yi-Wei
    Miller, Melissa B.
    [J]. MICROBIOLOGY SPECTRUM, 2022, 10 (04):
  • [23] A Narrative Systematic Review of the Clinical Utility of Cycle Threshold Values in the Context of COVID-19
    Rao, Sonia N.
    Manissero, Davide
    Steele, Victoria R.
    Pareja, Josep
    [J]. INFECTIOUS DISEASES AND THERAPY, 2020, 9 (03) : 573 - 586
  • [24] Shenoy Santosh, 2021, World J Crit Care Med, V10, P132, DOI 10.5492/wjccm.v10.i4.132
  • [25] Enterovirus genomic load and disease severity among children hospitalised with hand, foot and mouth disease
    Song, Chunlan
    Zhou, Yonghong
    Li, Yu
    Liang, Lu
    Turtle, Lance
    Wang, Fang
    Wu, Peng
    Qiu, Qi
    Yang, Jianli
    Wang, Kai
    Cui, Peng
    Cheng, Yibing
    Zhang, Tianchen
    Guo, Chun
    Zeng, Mengyao
    Long, Lu
    Peiris, Malik
    Zhou, Chongchen
    Cowling, Benjamin J.
    Yu, Hongjie
    [J]. EBIOMEDICINE, 2020, 62
  • [26] Viral loads in nasopharyngeal aspirates and tracheal aspirates among children hospitalized with invasive ventilation for human adenovirus pneumonia
    Xie, Le-Yun
    Zeng, Sai-Zhen
    Yu, Tian
    Hu, Xian
    Wang, Tao
    Yang, Le
    Zhong, Li-Li
    Li, Jin-Song
    Duan, Zhao-Jun
    Zhang, Bing
    [J]. VIROLOGY JOURNAL, 2021, 18 (01)
  • [27] Human adenovirus load in respiratory tract secretions are predictors for disease severity in children with human adenovirus pneumonia
    Xie, Leyun
    Zhang, Bing
    Zhou, Jieying
    Huang, Han
    Zeng, Saizhen
    Liu, Qin
    Xie, Zhiping
    Gao, Hanchun
    Duan, Zhaojun
    Zhong, Lili
    [J]. VIROLOGY JOURNAL, 2018, 15