Detection and Differentiation of Current Influenza B Viruses by the Microculture Enzyme-Linked Immunosorbent Assay Using Monoclonal Antibodies

IF 1 4区 生物学 Q4 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Applied Biochemistry and Microbiology Pub Date : 2023-12-14 DOI:10.1134/S0003683823070037
V. Z. Krivitskaya, V. G. Mayorova, E. V. Sorokin, T. R. Tsareva, M. M. Pisareva, A. I. Zheltukhina, E. R. Petrova, E. V. Kuznetsova, R. A. Kadyrova, D. M. Danilenko, A. A. Sominina
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Abstract

To detect and differentiate current influenza B viruses of both evolutionary lineages, the sensitivity of a new variant of microcultural enzyme immunoassay (cell-ELISA) has been assessed using a panel of 16 monoclonal antibodies (mAbs) specific to hemagglutinin of influenza B viruses. Nasopharyngeal samples from patients with acute respiratory viral infections (ARVI) were analyzed. The cell-ELISA was tested for the detection of influenza B viruses in 192 PCR-positive clinical samples. The highest sensitivity in detection and differentiation of influenza B viruses of the Yamagata and Victoria evolutionary lineages was shown for 5B11 and 5B7 mAbs, respectively. The detection of Yamagata influenza B viruses with cell-ELISA in PCR-positive clinical samples obtained in 2018 showed a lower sensitivity (61.7%) compared to traditional methods, that is, isolation of viruses in cell culture with subsequent determination of their belonging to the evolutionary lineage in the hemagglutination inhibition test (HIT) using strain-specific immune sera of animals (95.0%). The sensitivity of cell-ELISA while detecting the more variable Victoria viruses depended on the pathogen circulation time. The level of virus identification in samples collected in 2016–2018 was comparable for cell-ELISA and the traditional method (71–80%). Some of the current viruses circulating in 2020‒2021 did not interact with immune sera obtained to the corresponding reference strains, which made it difficult to identify them by HIT. Thus, the viruses circulating at that time were identified using cell-ELISA with a higher frequency than by isolation and subsequent HIT (59.5 vs. 35.7%, p < 0.05). In addition to the identification of the evolutionary lineage, the use of mAb 9B5 in the cell-ELISA made it possible to detect deletion variants of the Victoria influenza B viruses circulating in Russia in 2018‒2022.

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使用单克隆抗体的微培养酶联免疫吸附试验检测和区分当前的乙型流感病毒
为了检测和区分目前两种进化系的乙型流感病毒,我们使用 16 种特异性乙型流感病毒血凝素单克隆抗体(mAbs),对新型微培养酶免疫测定(细胞-ELISA)的灵敏度进行了评估。对急性呼吸道病毒感染(ARVI)患者的鼻咽样本进行了分析。在 192 份 PCR 阳性的临床样本中进行了细胞-ELISA 检测乙型流感病毒的测试。结果表明,5B11 和 5B7 mAbs 检测和区分山形和维多利亚进化系乙型流感病毒的灵敏度最高。与传统方法(即在细胞培养中分离病毒,然后使用动物的毒株特异性免疫血清在血凝抑制试验(HIT)中确定其是否属于进化系)相比,在 2018 年获得的 PCR 阳性临床样本中使用细胞-ELISA 检测山形乙型流感病毒的灵敏度较低(61.7%)(95.0%)。细胞-ELISA 检测多变的维多利亚病毒的灵敏度取决于病原体的循环时间。在 2016-2018 年采集的样本中,细胞-ELISA 和传统方法的病毒识别率相当(71-80%)。目前在 2020-2021 年流行的一些病毒与获得的相应参考毒株的免疫血清没有相互作用,因此很难通过 HIT 对其进行鉴定。因此,使用细胞-ELISA 法鉴定当时流行的病毒的频率要高于分离法和随后的 HIT 法(59.5% 对 35.7%,p <0.05)。在细胞-ELISA中使用mAb 9B5除了能确定进化系外,还能检测出2018-2022年在俄罗斯流行的维多利亚乙型流感病毒的缺失变种。
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来源期刊
Applied Biochemistry and Microbiology
Applied Biochemistry and Microbiology 生物-生物工程与应用微生物
CiteScore
1.70
自引率
12.50%
发文量
75
审稿时长
6-12 weeks
期刊介绍: Applied Biochemistry and Microbiology is an international peer reviewed journal that publishes original articles on biochemistry and microbiology that have or may have practical applications. The studies include: enzymes and mechanisms of enzymatic reactions, biosynthesis of low and high molecular physiologically active compounds; the studies of their structure and properties; biogenesis and pathways of their regulation; metabolism of producers of biologically active compounds, biocatalysis in organic synthesis, applied genetics of microorganisms, applied enzymology; protein and metabolic engineering, biochemical bases of phytoimmunity, applied aspects of biochemical and immunochemical analysis; biodegradation of xenobiotics; biosensors; biomedical research (without clinical studies). Along with experimental works, the journal publishes descriptions of novel research techniques and reviews on selected topics.
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