One-Step reverse transcriptase PCR for detection of arboviruses in serum samples of patients assisted in Basic health Units in the State of Maranhão, Brazil
Autor: | Conceição de Maria Fernandes da Silva Pinto, Lécia Maria Sousa Santos Cosme, Jadna Patricia Pinheiro Nunes, Viviane da Silva Sousa Almeida, Luena Maria Souza Silva, Bruna de Oliveira de Melo, Andrea de Souza Monteiro, Maria de Fátima Castro Mendes, Maria Rosa Quaresma Bomfim, Rosimary de Jesus Gomes Turri, Silvio Gomes Monteiro |
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Rok vydání: | 2019 |
Předmět: |
Marketing
Pharmacology Serotype Organizational Behavior and Human Resource Management Strategy and Management Pharmaceutical Science Biology medicine.disease medicine.disease_cause biology.organism_classification Virology Arbovirus Reverse transcriptase Virus Dengue fever Zika virus Reverse transcription polymerase chain reaction Drug Discovery medicine Chikungunya |
Zdroj: | Brazilian Journal of Development. 5:16620-16644 |
ISSN: | 2525-8761 |
Popis: | polymerase chain reaction to detect acute infections caused by dengue, zika, chikungunya, and mayaro virus in clinical samples. Methods: We evaluated 620 sera samples collected from March 2016 to March 2018 and provided by the Central Health Laboratory of Maranhao (LACEN-MA). Total RNA was isolated from clinical specimens and used as the template for one-step RT-PCR assays with specific-primers designed for this study. Results: Of the 620 sera evaluated, 386 (62.2%) were positive, among them 330 (85.5%) amplified a specific fragment for chikungunya, 55 (14.2%) showed a fragment compatible with dengue serotype 4, and 1 (0.3%) exhibited profile for mayaro virus. Conclusions: The results obtained here were more sensitive than IgM-ELISA because the viral RNA was detected in serum samples from patients, not only from 1 to 6 days but also from 7 to 10 days after the beginning of clinical signs (convalescent period). Besides, the mayaro virus was detected in one serum sample that was IgM-ELISA negative for dengue, zika, and chikungunya. |
Databáze: | OpenAIRE |
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