Literature DB >> 8474356

Applications of polymerase chain reaction for identification of dengue viruses isolated from patient sera.

N Maneekarn1, K Morita, M Tanaka, A Igarashi, W Usawattanakul, V Sirisanthana, B L Innis, N Sittisombut, A Nisalak, S Nimmanitya.   

Abstract

A simple and sensitive procedure of reverse transcriptase polymerase chain reaction (RT-PCR) was developed previously such that all 4 serotypes of dengue viruses could be detected and their serotypes identified simultaneously in a single-step procedure. In this study we compared the RT-PCR with a conventional immunoperoxidase (PAP) staining method for the identification of dengue viruses currently isolated from patient sera. Sixty-six sera taken from dengue hemorrhagic fever (DHF) patients were subjected to virus isolation by inoculating onto C6/36 cell cultures. Screening for the presence of dengue viruses in culture fluids was done after 7 days of incubation by PAP staining using hyperimmune rabbit anti-dengue virus antibody as the primary reagent. Dengue viruses in positive cultures were further identified for their serotypes by PAP using type-specific monoclonal antibodies (MAb) and by RT-PCR. Thirty-two out of the 66 serum specimens tested (48.5%) were positive for dengue viruses. Of these, 5 were type 1 (DEN-1), 25 were type 2 (DEN-2) and 2 contained both DEN-1 and DEN-2. All cultures that were positive by PAP method were also positive by RT-PCR and vice versa. Thus, the results obtained by RT-PCR were in good agreement with those by PAP. It is important to point out that while all 5 DEN-1 isolates reacted readily with the MAb 1F1, only 2 of them could be identified by the MAb 15F3. Our data suggest that antigenic variation among DEN-1 isolates occur frequently and this should be taken into consideration in the selection of appropriate type-specific MAb for serotyping of dengue viruses.(ABSTRACT TRUNCATED AT 250 WORDS)

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Year:  1993        PMID: 8474356     DOI: 10.1111/j.1348-0421.1993.tb03177.x

Source DB:  PubMed          Journal:  Microbiol Immunol        ISSN: 0385-5600            Impact factor:   1.955


  9 in total

1.  Improved molecular detection of dengue virus serotype 1 variants.

Authors:  Jean-Marc Reynes; Sivuth Ong; Channa Mey; Chantha Ngan; Stefan Hoyer; Amadou A Sall
Journal:  J Clin Microbiol       Date:  2003-08       Impact factor: 5.948

2.  Specific IgM and IgG responses in primary and secondary dengue virus infections determined by enzyme-linked immunosorbent assay.

Authors:  A Sa-Ngasang; S Anantapreecha; A A-Nuegoonpipat; S Chanama; S Wibulwattanakij; K Pattanakul; P Sawanpanyalert; I Kurane
Journal:  Epidemiol Infect       Date:  2005-12-22       Impact factor: 2.451

3.  Seroprevalence and trend of dengue cases admitted to a government hospital, delhi - 5-year study (2006-2010): a look into the age shift.

Authors:  Yukti Sharma; Mandeep Kaur; Sompal Singh; Leela Pant; Madhur Kudesia; Sanjay Jain
Journal:  Int J Prev Med       Date:  2012-08

4.  Occurrence of co-infection with dengue viruses during 2014 in New Delhi, India.

Authors:  A Tazeen; N Afreen; M Abdullah; F Deeba; S H Haider; S N Kazim; S Ali; I H Naqvi; S Broor; A Ahmed; S Parveen
Journal:  Epidemiol Infect       Date:  2016-09-13       Impact factor: 4.434

5.  Large-scale analysis of antigenic diversity of T-cell epitopes in dengue virus.

Authors:  Asif M Khan; A T Heiny; Kenneth X Lee; K N Srinivasan; Tin Wee Tan; J Thomas August; Vladimir Brusic
Journal:  BMC Bioinformatics       Date:  2006-12-18       Impact factor: 3.169

6.  Dengue virus co-infections with multiple serotypes do not result in a different clinical outcome compared to mono-infections.

Authors:  U T N Senaratne; K Murugananthan; P D N N Sirisena; J M Carr; F Noordeen
Journal:  Epidemiol Infect       Date:  2020-06-29       Impact factor: 2.451

7.  Molecular detection of dengue virus in patients suspected of Ebola virus disease in Ghana.

Authors:  Joseph Humphrey Kofi Bonney; Takaya Hayashi; Samuel Dadzie; Esinam Agbosu; Deborah Pratt; Stephen Nyarko; Franklin Asiedu-Bekoe; Eiji Ido; Badu Sarkodie; Nobuo Ohta; Shoji Yamaoka
Journal:  PLoS One       Date:  2018-12-19       Impact factor: 3.240

Review 8.  Concurrent dengue infections: Epidemiology & clinical implications.

Authors:  P D N N Sirisena; Shakuntala Mahilkar; Chetan Sharma; Jaspreet Jain; Sujatha Sunil
Journal:  Indian J Med Res       Date:  2021-05       Impact factor: 5.274

9.  Concurrent infections by all four dengue virus serotypes during an outbreak of dengue in 2006 in Delhi, India.

Authors:  Preeti Bharaj; Harendra S Chahar; Anubhav Pandey; Kavita Diddi; Lalit Dar; Randeep Guleria; Sushil K Kabra; Shobha Broor
Journal:  Virol J       Date:  2008-01-09       Impact factor: 4.099

  9 in total

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