Diagnóstico diferencial da proteína ns1 de Zika virus e Dengue vírus através do reconhecimento label-free com polímeros impressos molecularmente
| Ano de defesa: | 2021 |
|---|---|
| Autor(a) principal: | |
| Orientador(a): | |
| Banca de defesa: | , , , |
| Tipo de documento: | Tese |
| Tipo de acesso: | Acesso aberto |
| Idioma: | por |
| Instituição de defesa: |
Universidade Federal de Alfenas
|
| Programa de Pós-Graduação: |
Programa de Pós-Graduação em Ciências Farmacêuticas
|
| Departamento: |
Faculdade de Ciências Farmacêuticas
|
| País: |
Brasil
|
| Palavras-chave em Português: | |
| Área do conhecimento CNPq: | |
| Link de acesso: | https://repositorio.unifal-mg.edu.br/handle/123456789/1859 |
Resumo: | The similarity of symptoms developed after Zika virus and Dengue virus infections makes clinical diagnosis difficult. Furthermore, the structural similarity between these viruses makes it difficult to develop a differential and accurate diagnostic method. Nonstructural protein 1 (NS1) is a glycoprotein common to all flaviviruses, secreted in the serum of patients infected with Dengue virus at concentrations from 1x10-2 to 50 mg L-1. The artificial recognition of proteins by electropolymerized sensors has recently gained space in clinical diagnosis for providing fast, sensitive, selective, robust, non-destructive chemosensors, with a low attributed cost, while being portable and easy to handle. The present work proposed the development of chemosensors capable of detecting and differentiating the NS1 proteins of Zika virus (ZIKV) and Dengue virus type I (DENV-1). Based on structural information of linearity, flexibility, accessibility and immunogenicity, six epitopes were selected to be used as a template molecule for the production of molecularly printed polymers, two for DENV-1 and four for ZIKV. Films of phenol, aminophenyl boronic acid and 3- and 4-aminophenol were tested and studies were carried out to determine ideal conditions for polymerization. A molecularly printed film was polymerized on the surface of commercial carbon printed board electrodes using the cyclic voltammetry technique. Removal of the template molecule was performed by cleavage with proteinase K and cyclic voltammetry. Three sensor models were tested, two for NS1 from DENV-1 and one for NS1 from ZIKV. Furthermore, the influence of a previous temperature denaturation step to convert NS1 to its monomeric form before recognition was evaluated. Device performance was evaluated in terms of precision, sensitivity, selectivity and specificity. Sensors synthesized from 3-aminophenol were able to detect NS1 in diluted human serum samples (1:1000) at concentrations from 50 to 200 μg L-1. One of the tested models was able to distinguish NS1 from Dengue virus and Zika virus. This same prototype was able to detect the denatured protein in the range of 50 to 200 μg L-1 with a DPR below 5.04%. The calculated LOD and LOQ values were 29.3 and 88.7 μg L-1, respectively. |
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Silva, Matheus Siqueirahttp://lattes.cnpq.br/9819015829001124Coelho, Luiz Felipe LeomilTarley, Cézar Ricardo TeixeiraCastro, Ana Cristina Honorato DeSantos, Mariane GonçalvesMalaquias, Luiz Cosme CottaFigueiredo, Eduardo Costa Dehttp://lattes.cnpq.br/95536799551674982021-08-10T18:28:03Z2021-03-26SILVA, Matheus Siqueira. Diagnóstico diferencial da proteína ns1 de Zika virus e Dengue vírus através do reconhecimento label-free com polímeros impressos molecularmente. 2021. 125 f. Tese (Doutorado em Ciências Farmacêuticas) - Universidade Federal de Alfenas, Alfenas, MG, 2021.https://repositorio.unifal-mg.edu.br/handle/123456789/1859The similarity of symptoms developed after Zika virus and Dengue virus infections makes clinical diagnosis difficult. Furthermore, the structural similarity between these viruses makes it difficult to develop a differential and accurate diagnostic method. Nonstructural protein 1 (NS1) is a glycoprotein common to all flaviviruses, secreted in the serum of patients infected with Dengue virus at concentrations from 1x10-2 to 50 mg L-1. The artificial recognition of proteins by electropolymerized sensors has recently gained space in clinical diagnosis for providing fast, sensitive, selective, robust, non-destructive chemosensors, with a low attributed cost, while being portable and easy to handle. The present work proposed the development of chemosensors capable of detecting and differentiating the NS1 proteins of Zika virus (ZIKV) and Dengue virus type I (DENV-1). Based on structural information of linearity, flexibility, accessibility and immunogenicity, six epitopes were selected to be used as a template molecule for the production of molecularly printed polymers, two for DENV-1 and four for ZIKV. Films of phenol, aminophenyl boronic acid and 3- and 4-aminophenol were tested and studies were carried out to determine ideal conditions for polymerization. A molecularly printed film was polymerized on the surface of commercial carbon printed board electrodes using the cyclic voltammetry technique. Removal of the template molecule was performed by cleavage with proteinase K and cyclic voltammetry. Three sensor models were tested, two for NS1 from DENV-1 and one for NS1 from ZIKV. Furthermore, the influence of a previous temperature denaturation step to convert NS1 to its monomeric form before recognition was evaluated. Device performance was evaluated in terms of precision, sensitivity, selectivity and specificity. Sensors synthesized from 3-aminophenol were able to detect NS1 in diluted human serum samples (1:1000) at concentrations from 50 to 200 μg L-1. One of the tested models was able to distinguish NS1 from Dengue virus and Zika virus. This same prototype was able to detect the denatured protein in the range of 50 to 200 μg L-1 with a DPR below 5.04%. The calculated LOD and LOQ values were 29.3 and 88.7 μg L-1, respectively.A semelhança dos sintomas desenvolvidos após as infecções pelo Zika virus e Dengue virus dificulta o diagnóstico clínico. Além disso, a similaridade estrutural entre esses vírus dificulta a elaboração de um método de diagnóstico diferencial e preciso. A proteína não estrutural 1 (NS1) é uma glicoproteína comum a todos os flavivírus, secretada no soro de pacientes infectados com o Dengue virus em concentrações de 1x10-2 a 50 mg L-1. O reconhecimento artificial de proteínas por sensores eletropolimerizados ganhou espaço recentemente no diagnóstico clínico por fornecer quimiosensores rápidos, sensíveis, seletivos, robustos, não destrutivos, com baixo custo atribuído, sendo ainda portáteis e de fácil manuseio. O presente trabalho propôs a elaboração de quimiossensores capazes de detectar e diferenciar as proteínas NS1 de Zika vírus (ZIKV) e Dengue virus tipo I (DENV-1). À partir de informações estruturais de linearidade, flexibilidade, acessibilidade e imunogenicidade seis epítopos foram selecionados para serem utilizados como molécula modelo para a produção de polímeros impressos molecularmente, dois para DENV-1 e quatro para ZIKV. Foram testados filmes de fenol, ácido aminofenil borônico e 3- e 4-aminofenol e realizou-se estudos para determinar condições ideais de polimerização. Um filme impresso molecularmente foi polimerizado na superfície de eletrodos de quadro impresso de carbono comerciais através da técnica de voltametria cíclica. A remoção da molécula modelo foi realizada por clivagem com proteinase K e voltametria cíclica. Foram testados três modelos de sensores, dois para NS1 de DENV-1 e um para NS1 de ZIKV. Ademais, foi avaliada a influência de uma etapa prévia de desnaturação por temperatura para converter a NS1 à sua forma monomérica antes do reconhecimento. A performance dos dispositivos foi avaliada em termos de precisão, sensibilidade, seletividade e especificidade. Os sensores sintetizados a partir do 3-aminofenol foram capazes de detectar a NS1 em amostras de soro humano diluído (1:1000) em concentrações de 50 a 200 μg L-1. Um dos modelos testados foi capaz de distinguir as NS1 de Dengue virus e Zika virus. Este mesmo protótipo foi capaz de detectar a proteína desnaturada na faixa de 50 a 200 μg L-1 com DPR abaixo de 5.04%. Os valores de LOD e LOQ calculados foram de 29.3 e 88.7 μg L-1, respectivamente.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESapplication/pdfporUniversidade Federal de AlfenasPrograma de Pós-Graduação em Ciências FarmacêuticasUNIFAL-MGBrasilFaculdade de Ciências Farmacêuticasinfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/Dengue vírusZika vírusImpressão molecularEpítopoSensorlabel-freeQUIMICA ANALITICA::ELETROANALITICADiagnóstico diferencial da proteína ns1 de Zika virus e Dengue vírus através do reconhecimento label-free com polímeros impressos molecularmenteinfo:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/publishedVersion-642584515598624429760060060081342199882094697882075167498588264571reponame:Repositório Institucional da Universidade Federal de Alfenas - RiUnifalinstname:Universidade Federal de Alfenas (UNIFAL)instacron:UNIFALSilva, Matheus SiqueiraLICENSElicense.txtlicense.txttext/plain; charset=utf-81987https://repositorio.unifal-mg.edu.br/bitstreams/402ce0bf-ffba-4524-af82-5becc0a9387d/download31555718c4fc75849dd08f27935d4f6bMD51CC-LICENSElicense_urllicense_urltext/plain; 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| dc.title.pt-BR.fl_str_mv |
Diagnóstico diferencial da proteína ns1 de Zika virus e Dengue vírus através do reconhecimento label-free com polímeros impressos molecularmente |
| title |
Diagnóstico diferencial da proteína ns1 de Zika virus e Dengue vírus através do reconhecimento label-free com polímeros impressos molecularmente |
| spellingShingle |
Diagnóstico diferencial da proteína ns1 de Zika virus e Dengue vírus através do reconhecimento label-free com polímeros impressos molecularmente Silva, Matheus Siqueira Dengue vírus Zika vírus Impressão molecular Epítopo Sensor label-free QUIMICA ANALITICA::ELETROANALITICA |
| title_short |
Diagnóstico diferencial da proteína ns1 de Zika virus e Dengue vírus através do reconhecimento label-free com polímeros impressos molecularmente |
| title_full |
Diagnóstico diferencial da proteína ns1 de Zika virus e Dengue vírus através do reconhecimento label-free com polímeros impressos molecularmente |
| title_fullStr |
Diagnóstico diferencial da proteína ns1 de Zika virus e Dengue vírus através do reconhecimento label-free com polímeros impressos molecularmente |
| title_full_unstemmed |
Diagnóstico diferencial da proteína ns1 de Zika virus e Dengue vírus através do reconhecimento label-free com polímeros impressos molecularmente |
| title_sort |
Diagnóstico diferencial da proteína ns1 de Zika virus e Dengue vírus através do reconhecimento label-free com polímeros impressos molecularmente |
| author |
Silva, Matheus Siqueira |
| author_facet |
Silva, Matheus Siqueira |
| author_role |
author |
| dc.contributor.author.fl_str_mv |
Silva, Matheus Siqueira |
| dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/9819015829001124 |
| dc.contributor.advisor-co1.fl_str_mv |
Coelho, Luiz Felipe Leomil |
| dc.contributor.referee1.fl_str_mv |
Tarley, Cézar Ricardo Teixeira |
| dc.contributor.referee2.fl_str_mv |
Castro, Ana Cristina Honorato De |
| dc.contributor.referee3.fl_str_mv |
Santos, Mariane Gonçalves |
| dc.contributor.referee4.fl_str_mv |
Malaquias, Luiz Cosme Cotta |
| dc.contributor.advisor1.fl_str_mv |
Figueiredo, Eduardo Costa De |
| dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/9553679955167498 |
| contributor_str_mv |
Coelho, Luiz Felipe Leomil Tarley, Cézar Ricardo Teixeira Castro, Ana Cristina Honorato De Santos, Mariane Gonçalves Malaquias, Luiz Cosme Cotta Figueiredo, Eduardo Costa De |
| dc.subject.por.fl_str_mv |
Dengue vírus Zika vírus Impressão molecular Epítopo Sensor label-free |
| topic |
Dengue vírus Zika vírus Impressão molecular Epítopo Sensor label-free QUIMICA ANALITICA::ELETROANALITICA |
| dc.subject.cnpq.fl_str_mv |
QUIMICA ANALITICA::ELETROANALITICA |
| description |
The similarity of symptoms developed after Zika virus and Dengue virus infections makes clinical diagnosis difficult. Furthermore, the structural similarity between these viruses makes it difficult to develop a differential and accurate diagnostic method. Nonstructural protein 1 (NS1) is a glycoprotein common to all flaviviruses, secreted in the serum of patients infected with Dengue virus at concentrations from 1x10-2 to 50 mg L-1. The artificial recognition of proteins by electropolymerized sensors has recently gained space in clinical diagnosis for providing fast, sensitive, selective, robust, non-destructive chemosensors, with a low attributed cost, while being portable and easy to handle. The present work proposed the development of chemosensors capable of detecting and differentiating the NS1 proteins of Zika virus (ZIKV) and Dengue virus type I (DENV-1). Based on structural information of linearity, flexibility, accessibility and immunogenicity, six epitopes were selected to be used as a template molecule for the production of molecularly printed polymers, two for DENV-1 and four for ZIKV. Films of phenol, aminophenyl boronic acid and 3- and 4-aminophenol were tested and studies were carried out to determine ideal conditions for polymerization. A molecularly printed film was polymerized on the surface of commercial carbon printed board electrodes using the cyclic voltammetry technique. Removal of the template molecule was performed by cleavage with proteinase K and cyclic voltammetry. Three sensor models were tested, two for NS1 from DENV-1 and one for NS1 from ZIKV. Furthermore, the influence of a previous temperature denaturation step to convert NS1 to its monomeric form before recognition was evaluated. Device performance was evaluated in terms of precision, sensitivity, selectivity and specificity. Sensors synthesized from 3-aminophenol were able to detect NS1 in diluted human serum samples (1:1000) at concentrations from 50 to 200 μg L-1. One of the tested models was able to distinguish NS1 from Dengue virus and Zika virus. This same prototype was able to detect the denatured protein in the range of 50 to 200 μg L-1 with a DPR below 5.04%. The calculated LOD and LOQ values were 29.3 and 88.7 μg L-1, respectively. |
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2021 |
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2021-08-10T18:28:03Z |
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2021-03-26 |
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info:eu-repo/semantics/doctoralThesis |
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info:eu-repo/semantics/publishedVersion |
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doctoralThesis |
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publishedVersion |
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SILVA, Matheus Siqueira. Diagnóstico diferencial da proteína ns1 de Zika virus e Dengue vírus através do reconhecimento label-free com polímeros impressos molecularmente. 2021. 125 f. Tese (Doutorado em Ciências Farmacêuticas) - Universidade Federal de Alfenas, Alfenas, MG, 2021. |
| dc.identifier.uri.fl_str_mv |
https://repositorio.unifal-mg.edu.br/handle/123456789/1859 |
| identifier_str_mv |
SILVA, Matheus Siqueira. Diagnóstico diferencial da proteína ns1 de Zika virus e Dengue vírus através do reconhecimento label-free com polímeros impressos molecularmente. 2021. 125 f. Tese (Doutorado em Ciências Farmacêuticas) - Universidade Federal de Alfenas, Alfenas, MG, 2021. |
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https://repositorio.unifal-mg.edu.br/handle/123456789/1859 |
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por |
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por |
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600 600 600 |
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2075167498588264571 |
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info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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openAccess |
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http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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Universidade Federal de Alfenas |
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Programa de Pós-Graduação em Ciências Farmacêuticas |
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UNIFAL-MG |
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Brasil |
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Faculdade de Ciências Farmacêuticas |
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Universidade Federal de Alfenas |
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Repositório Institucional da Universidade Federal de Alfenas - RiUnifal |
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https://repositorio.unifal-mg.edu.br/bitstreams/402ce0bf-ffba-4524-af82-5becc0a9387d/download https://repositorio.unifal-mg.edu.br/bitstreams/bba65016-fc7b-4348-ad26-3b3cc5f226f2/download https://repositorio.unifal-mg.edu.br/bitstreams/cd365a3a-6923-4b66-993a-4536a2ab66c5/download https://repositorio.unifal-mg.edu.br/bitstreams/0053e132-f1ac-45c2-a4f5-8ba9e754c588/download https://repositorio.unifal-mg.edu.br/bitstreams/7e50a6c9-9454-4bc7-8384-460d2fca8ffb/download https://repositorio.unifal-mg.edu.br/bitstreams/235b6c92-3179-4c3d-8b49-60c3c9101108/download https://repositorio.unifal-mg.edu.br/bitstreams/f7eca25c-f594-4000-bf3b-6c23965d4520/download |
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| bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 MD5 MD5 MD5 |
| repository.name.fl_str_mv |
Repositório Institucional da Universidade Federal de Alfenas - RiUnifal - Universidade Federal de Alfenas (UNIFAL) |
| repository.mail.fl_str_mv |
repositorio@unifal-mg.edu.br |
| _version_ |
1859830895786065920 |