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2.
Viruses ; 16(1)2023 12 22.
Artículo en Inglés | MEDLINE | ID: mdl-38257724

RESUMEN

The emergence and continued geographic expansion of arboviruses and the growing number of infected people have highlighted the need to develop and improve multiplex methods for rapid and specific detection of pathogens. Sequencing technologies are promising tools that can help in the laboratory diagnosis of conditions that share common symptoms, such as pathologies caused by emerging arboviruses. In this study, we integrated nanopore sequencing and the advantages of reverse transcription polymerase chain reaction (RT-PCR) to develop a multiplex RT-PCR protocol for the detection of Chikungunya virus (CHIKV) and several orthoflaviviruses (such as dengue (Orthoflavivirus dengue), Zika (Orthoflavivirus zikaense), yellow fever (Orthoflavivirus flavi), and West Nile (Orthoflavivirus nilense) viruses) in a single reaction, which provides data for sequence-based differentiation of arbovirus lineages.


Asunto(s)
Arbovirus , Virus Chikungunya , Dengue , Secuenciación de Nanoporos , Infección por el Virus Zika , Virus Zika , Humanos , Arbovirus/genética , Virus Chikungunya/genética , Reacción en Cadena de la Polimerasa Multiplex , Virus Zika/genética
3.
Sci Rep ; 10(1): 11302, 2020 07 09.
Artículo en Inglés | MEDLINE | ID: mdl-32647259

RESUMEN

The Flaviviridae virus family was named after the Yellow-fever virus, and the latin term flavi means "of golden color". Dengue, caused by Dengue virus (DENV), is one of the most important infectious diseases worldwide. A sensitive and differential diagnosis is crucial for patient management, especially due to the occurrence of serological cross-reactivity to other co-circulating flaviviruses. This became particularly important with the emergence of Zika virus (ZIKV) in areas were DENV seroprevalence was already high. We developed a sensitive and specific diagnostic test based on gold nanorods (GNR) functionalized with DENV proteins as nanosensors. These were able to detect as little as one picogram of anti-DENV monoclonal antibodies and highly diluted DENV-positive human sera. The nanosensors could differentiate DENV-positive sera from other flavivirus-infected patients, including ZIKV, and were even able to distinguish which DENV serotype infected individual patients. Readouts are obtained in ELISA-plate spectrophotometers without the need of specific devices.


Asunto(s)
Técnicas Biosensibles/métodos , Dengue/diagnóstico , Resonancia por Plasmón de Superficie/métodos , Infección por el Virus Zika/diagnóstico , Anticuerpos Antivirales/sangre , Brasil , Estudios de Cohortes , Dengue/virología , Oro/química , Humanos , Nanopartículas del Metal/química , Estudios Seroepidemiológicos , Proteínas del Envoltorio Viral/inmunología , Infección por el Virus Zika/virología
4.
Viruses ; 11(11)2019 11 19.
Artículo en Inglés | MEDLINE | ID: mdl-31752352

RESUMEN

Dengue is currently one of the most important arbovirus infections worldwide. Early diagnosis is important for disease outcome, particularly for those afflicted with the severe forms of infection. The goal of this work was to identify conserved and polymorphic linear B-cell Dengue virus (DENV) epitopes that could be used for diagnostic purposes. To this end, we aligned the predicted viral proteome of the four DENV serotype and performed in silico B-cell epitope mapping. We developed a script in Perl integrating alignment and prediction information to identify potential serotype-specific epitopes. We excluded epitopes that were similarly present in the yellow fever and zika viruses' proteomes. A total of 15 polymorphic and nine conserved peptides among DENV serotypes were selected. Peptides were spotted on cellulose membranes and tested against sera from rabbits that were monoinfected with each DENV serotype. Although serotype-specific peptides failed to recognize any sera, three conserved peptides were recognized by all anti-dengue sera and were included on an ELISA test employing a well-characterized human sera bank. Of the three peptides, one was able to efficiently identify sera from all four DENV serotypes and to discriminate them from Zika virus positive sera.


Asunto(s)
Virus del Dengue/inmunología , Dengue/inmunología , Dengue/virología , Epítopos de Linfocito B/inmunología , Interacciones Huésped-Patógeno/inmunología , Infección por el Virus Zika/inmunología , Infección por el Virus Zika/virología , Virus Zika/inmunología , Secuencia de Aminoácidos , Animales , Anticuerpos Neutralizantes/inmunología , Anticuerpos Antivirales/inmunología , Antígenos Virales/química , Antígenos Virales/inmunología , Ensayo de Inmunoadsorción Enzimática , Humanos , Péptidos/química , Péptidos/inmunología , Reproducibilidad de los Resultados
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