UFMG e Bio-Manguinhos concluem primeiro lote de kit sorola³gico para testes de covid-19
Produto passara¡ por última fase de testes antes de aprovaa§a£o da Anvisa, com previsão para setembro
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)
Novo sistema detecta classe de anticorpos mais duradouros -Â Divulgação
Um lote piloto do kit sorola³gico IgG para covid-19, teste para detecção do novo coronavarus baseado no manãtodo Elisa, acaba de ser concluado pelo Centro Tecnola³gico de Vacinas da UFMG (CT Vacinas) osque conta com a parceria de pesquisadores da Fundação Oswaldo Cruz (Fiocruz) ose por Bio-Manguinhos, unidade produtora de imunobiola³gicos da Fiocruz. Apa³s a submissão do prota³tipo a testes e aprovação da Agência Nacional de Vigila¢ncia Sanita¡ria (Anvisa), o produto podera¡ ser produzido em larga escala, e sera£o estudadas parcerias com órgãos de distribuição não comerciais.
O kit utiliza como base o manãtodo conhecido como Elisa ossigla, em inglês, para ensaio de imunoabsorção enzima¡tica –, que se destaca por ser maissensíveldo que os exames rápidos, o que evita falsos negativos. “Nossa proposta éde um sistema de diagnóstico que detecta a presença de uma classe especafica de anticorpos, que são os mais duradouros em resposta a qualquer infecção, qualquer corpo estranho que entre no organismo, os anticorpos do tipo IgGâ€, explica Fla¡vio Fonseca, professor do Departamento de Microbiologia do Instituto de Ciências Biola³gicas (ICB) e pesquisador do CT Vacinas.
Os pesquisadores produziram, de forma recombinante, uma proteana do varus Sars-CoV-2 em bactanãrias, que écolocada durante o teste em uma placa de pla¡stico. Em seguida, o sangue do indivaduo analisado éinserido no mesmo ambiente. “Se houver anticorpos, esse sangue se liga a proteana. Então, um segundo anticorpo éusado para reconhecer a presença de anticorpos ligados a s proteanas de Sars-CoV-2 produzidas em bactanãrias. De forma geral e simplificada, édessa forma que funciona o nosso kitâ€, detalha Fla¡vio Fonseca.
O kit, que tem financiamento da Fundação de Amparo a Pesquisa de Minas Gerais (Fapemig), do Instituto Nacional de Ciência e Tecnologia de Vacinas (INCT-V) e do INCT Investigação em Imunologia, por meio da RedeVarus do MCTI, foi integralmente desenvolvido pelo CT Vacinas. Apa³s os primeiros resultados positivos obtidos na UFMG, o material foi validado por outros laboratórios brasileiros, que procederam a análises independentes e emitiram laudos comprovando a boa performance.
A última etapa do processo foi o envio dos componentes para Bio-Manguinhos, com vistas a produção dos primeiros lotes para teste. Agora, com prota³tipos do kit prontos, sera£o realizados experimentos fora do ambiente do laboratório da Fiocruz e enviadas amostras para a Anvisa. Apa³s a aprovação da agaªncia reguladora, com previsão para setembro, a Bio-Manguinhos iniciara¡ a produção em larga escala e estabelecera¡ contato com órgãos de distribuição sem fins comerciais, para que o produto possa chegar a população brasileira.
Tecnologia nacional
Com a proposta do CT Vacinas da UFMG, os pesquisadores buscam nacionalizar a tecnologia de diagnóstico. Segundo Fla¡vio Fonseca, essa éuma necessidade “absolutamente prementeâ€, já que a maior parte dos testes sorola³gicos para covid-19 existentes no Brasil foi importada, e a testagem da população éum dos maiores gargalos para o controle da epidemia nopaís.
“Como o mundo inteiro demanda insumos para combate a covid-19, os processos de importação podem durar meses. Portanto, a produção de testes em massa no Brasil éestratanãgica para que sejamos independentes nesse aspectoâ€, destaca o pesquisador.