4.6 Article

Use of serum and blood samples on filter paper to improve the surveillance of dengue in Pacific Island Countries

Journal

JOURNAL OF CLINICAL VIROLOGY
Volume 55, Issue 1, Pages 23-29

Publisher

ELSEVIER
DOI: 10.1016/j.jcv.2012.05.010

Keywords

Dengue virus; Filter paper; Real-time RT-PCR; Pacific Island Countries; Surveillance

Categories

Funding

  1. Fonds de Cooperation Economique, Sociale et Culturelle pour le Pacifique - Ministere des Affaires Etrangeres et Europeennes, France [75/1/2009]
  2. Agence Nationale pour la Recherche, France [ANR-09-MIEN-028-01, ANR-09-MIEN-028-02]

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Background: In Pacific Island Countries (PICs) the epidemiology of dengue is characterized by long-term transmission of a single dengue virus (DENV) serotype. The emergence of a new serotype in one island country often indicates major outbreaks with this serotype will follow in other PICs. Objectives: Filter paper (FP) cards on which whole blood or serum from dengue suspected patients had been dried was evaluated as a method for transportation of this material by standard mail delivery throughout the Pacific. Study design: Twenty-two FP-dried whole blood samples collected from patients in New Caledonia and Wallis & Futuna Islands, during DENV-1 and DENV-4 transmission, and 76 FP-dried sera collected from patients in Yap State, Majuro (Republic of Marshall Islands), Tonga and Fiji, before and during outbreaks of DENV-2 in Yap State and DENV-4 in Majuro, were tested for the presence of DENV RNA, by serotype specific RT-PCR, at the Institut Louis Malarde in French Polynesia. Results: The serotype of DENV could be determined, by a variety of RT-PCR procedures, in the FP-dried samples after more than three weeks of transport at ambient temperatures. In most cases, the sequencing of the envelope gene to genotype the viruses also was possible. Conclusions: The serotype and genotype of DENV can be determined from FP-dried serum or whole blood samples transported over thousands of kilometers at ambient, tropical, temperatures. This simple and low-cost approach to virus identification should be evaluated in isolated and resource poor settings for surveillance for a range of significant viral diseases. (C) 2012 Published by Elsevier B. V.

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