Literature DB >> 32781007

Detection of anti-SFTSV nuclear protein antibody in the acute phase sera of patients using double-antigen ELISA and immunochromatography.

Kazumi Umeki1, Asato Yasuda2, Kunihiko Umekita3, Ryoya Megumi3, Hajime Nomura3, Takeshi Kawaguchi3, Motohiro Matsuda3, Ichiro Takajo3, Masayuki Shimojima4, Akihiko Okayama5.   

Abstract

Severe fever with thrombocytopenia syndrome (SFTS) is a life-threatening febrile illness that is caused by the SFTS virus (SFTSV). The diagnosis of SFTS is usually performed by detecting viral RNA. However, it has been reported that viral RNA is no longer detectable at 6-12 days after the onset of disease. In the current study, we have constructed a plasmid to express the recombinant nuclear protein (NP) based on the Japanese strain of SFTSV (J1). We developed a double-antigen enzyme-linked immunosorbent assay (ELISA) and immunochromatography (IC) assay using recombinant NP to detect antibody against SFTSV-NP. When we tested time-sequential samples from four patients with SFTS, antibody to SFTSV-NP were detectable not only during the recovery phase (days 10-622) but also during the acute phase (days 4-7) of the disease using both of a double-antigen ELISA and IC assay. SFTSV-RNA was detected until 8-11 days after onset, thus suggesting the coexistence of the virus and antibody during the acute phase of SFTS. These data suggest that assays for detecting antibody against SFTS-NP described in the current study may be applicable not only for the epidemiological studies but also for the diagnosis of SFTS.
Copyright © 2020 Elsevier B.V. All rights reserved.

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Keywords:  Anti-SFTSV nuclear protein antibody; Double-antigen ELISA; Immunochromatography

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Year:  2020        PMID: 32781007     DOI: 10.1016/j.jviromet.2020.113942

Source DB:  PubMed          Journal:  J Virol Methods        ISSN: 0166-0934            Impact factor:   2.014


  1 in total

1.  Development of monoclonal antibody based IgG and IgM ELISA for diagnosis of severe fever with thrombocytopenia syndrome virus infection.

Authors:  Mei Zhang; Yanhua Du; Li Yang; Lin Zhan; Bin Yang; Xueyong Huang; Bianli Xu; Koichi Morita; Fuxun Yu
Journal:  Braz J Infect Dis       Date:  2022-07-11       Impact factor: 3.257

  1 in total

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