Title |
Zika detection: comparison of methodologies
|
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Published in |
Brazilian Journal of Microbiology, August 2017
|
DOI | 10.1016/j.bjm.2017.04.011 |
Pubmed ID | |
Authors |
Tatiana Elias Colombo, Ana Carolina Bernardes Terzian, João Pessoa Araújo Júnior, Ricardo Parreira, Eliana Márcia Sotello Cabrera, Izalco Nuremberg Penha dos Santos, Andréia Francesli Negri Reis, Fabiana Rodrigues Costa, Lilian Elisa Arão Antônio Cruz, Patrícia Lopes Rombola, Maurício Lacerda Nogueira |
Abstract |
Many countries in the Americas have detected local transmission of multiple arboviruses that cause febrile illnesses. Therefore, laboratory testing has become an important tool for confirming the etiology of these diseases. The present study aimed to compare the sensitivity and specificity of three different Zika virus detection assays. One hundred serum samples from patients presenting with acute febrile symptoms were tested using a previously reported TaqMan(®) RT-qPCR assay. We used a SYBR(®) Green RT-qPCR and a conventional PCR methodologies to compare the results. Of the samples that were determined to be negative by the TaqMan(®) RT-qPCR assay, 100% (Kappa=0.670) were also found to be negative by SYBR(®) Green RT-qPCR based on Tm comparison; however, 14% (Kappa=0.035) were found to be positive by conventional PCR followed by agarose gel electrophoresis. The differences between the ZIKV strains circulating worldwide and the low viremia period can compromise diagnostic accuracy and thereby the accuracy of outbreak data. Therefore, improved assays are required to improve the diagnosis and surveillance of arbovirus. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 110 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 20 | 18% |
Student > Bachelor | 17 | 15% |
Researcher | 9 | 8% |
Student > Ph. D. Student | 8 | 7% |
Student > Doctoral Student | 7 | 6% |
Other | 22 | 20% |
Unknown | 27 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Immunology and Microbiology | 16 | 15% |
Medicine and Dentistry | 14 | 13% |
Agricultural and Biological Sciences | 13 | 12% |
Biochemistry, Genetics and Molecular Biology | 13 | 12% |
Nursing and Health Professions | 3 | 3% |
Other | 20 | 18% |
Unknown | 31 | 28% |