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印度北阿坎德邦丙型肝炎病毒亚型:一项对比研究。

Hepatitis C virus subtyping in Uttarakhand, India: a comparative study.

作者信息

Chatterjee Kuhu, Kalita Deepjyoti, Omar Balram Ji, Gupta Rohit, Jha Mithilesh Kumar, Gupta Pratima

机构信息

Department of Microbiology, All India Institute of Medical Sciences, Veerbhadra Marg, Dehradun, Rishikesh, 249203 Uttarakhand India.

Department of Gastroenterology, All India Institute of Medical Sciences, Rishikesh, India.

出版信息

Virusdisease. 2021 Sep;32(3):576-581. doi: 10.1007/s13337-021-00729-9. Epub 2021 Aug 17.

Abstract

UNLABELLED

The objective of this study was to compare Reverse Hybridisation Assay with conventional sequencing for determination of Hepatitis C Virus Genotype and Subtypes. Anti-HCV antibody was determined followed by HCV RNA extraction which was used for (1) viral load determination (2) qualitative real-time PCR RHA for genotyping and (3) conventional sequencing. Compared to conventional sequencing, accuracy of RHA results was 96.55% for determination of genotype (κ = 0.93) and 89.66% for subtype (κ = 0.85). Sensitivity, specificity, negative predictive value (NPV) and positive predictive value (PPV) of the qualitative PCR were 82.29%, 100%, 44.44% and 100% respectively with an accuracy of 86.84%. RHA is a less time consuming and cheaper method for determination of HCV genotype and subtype yet results must be interpreted with caution and quality control monitoring should be strictly followed to ensure validity.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1007/s13337-021-00729-9.

摘要

未标注

本研究的目的是比较反向杂交分析法与传统测序法在确定丙型肝炎病毒基因型和亚型方面的差异。先测定抗丙型肝炎病毒抗体,随后进行丙型肝炎病毒RNA提取,提取的RNA用于(1)病毒载量测定;(2)用于基因分型的定性实时聚合酶链反应反向杂交分析法;以及(3)传统测序。与传统测序相比,反向杂交分析法确定基因型的结果准确率为96.55%(κ = 0.93),确定亚型的结果准确率为89.66%(κ = 0.85)。定性聚合酶链反应的敏感性、特异性、阴性预测值(NPV)和阳性预测值(PPV)分别为82.29%、100%、44.44%和100%,准确率为86.84%。反向杂交分析法是一种耗时较少且成本较低的确定丙型肝炎病毒基因型和亚型的方法,但结果必须谨慎解读,并且应严格遵循质量控制监测以确保有效性。

补充信息

在线版本包含可在10.1007/s13337-021-00729-9获取的补充材料。

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本文引用的文献

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Comparison of 5' noncoding-core with 5' noncoding regions of HCV by RT-PCR: importance and clinical implications.
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