Estudo: Tiro experimental de COVID feito por meio de tecnologia baseada em ovo provoca maior proporção de anticorpos do que mRNA vax
Atividade neutralizante de amostras de soro vacinado e convalescente contra SARS-CoV-2 de tipo selvagem e variantes Delta e Beta. A neutralização foi medida contra ( A ) cepa SARS-CoV-2 de tipo selvagem USA-WA01/2020, ( B ) a Delta (B.1.617.2) isolad
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)
Atividade neutralizante de amostras de soro vacinado e convalescente contra SARS-CoV-2 de tipo selvagem e variantes Delta e Beta. A neutralização foi medida contra ( A ) cepa SARS-CoV-2 de tipo selvagem USA-WA01/2020, ( B ) a Delta (B.1.617.2) isolado e ( C ) um isolado Beta (B.1.351) em um ensaio de microneutralização com SARS-CoV-2 autêntico. Para grupos de vacinas, n = 35, nBNT162b2 = 20, e nHCS = 18. A exceção é n3 ?g = 34 em (B) e n3 ?g = 31 in (C); n1 ?g = 34 e n3 ?g + ODN1018 = 34 in (C); e o nplacebo = 34 em (A) enplacebo = 32 em (B) e (C), devido à falta de volume da amostra. As barras mostram GMT e as barras de erro indicam SD do GMT. As linhas pontilhadas horizontais indicam o limite de detecção; valores abaixo do limite de detecção receberam um valor de metade do limite de detecção. Para análise estatística, os títulos de neutralização transformados em log foram comparados usando um teste de Kruskal-Wallis corrigido para comparações múltiplas usando o teste de comparações múltiplas de Dunn. Os valores de P para diferenças significativas são indicados nos painéis. Os experimentos foram realizados uma vez. As linhas tracejadas verticais indicam que as amostras à esquerda são do ensaio clínico na Tailândia, enquanto as amostras à direita são do estudo PARIS na cidade de Nova York. Crédito: Science Translational Medicine(2023). DOI: 10.1126/scitranslmed.abo2847
Uma vacina experimental COVID-19 produzida com tecnologia baseada em um método de décadas, provocou anticorpos neutralizantes de vírus em proporção maior do que a quantidade induzida por imunizações de mRNA, descobriu um ensaio clínico de Fase 1.
A vacina experimental foi desenvolvida na cidade de Nova York e testada na Tailândia, onde as vacinas foram produzidas usando uma forma de tecnologia baseada em ovo. O fato de os pesquisadores ainda estarem correndo para desenvolver novas vacinas COVID-19 destaca uma necessidade contínua, especialmente em países de baixa e média renda – e por um bom motivo.
Uma quantidade surpreendente de subvariantes de omicron surgiu desde 2021. No ano passado, o omicron gerou um número estonteante de subvariantes: BA.5, BQ.1 e BQ.1.1. Em janeiro deste ano, uma nova subvariante de ômicron chamada XBB.1.5 estava varrendo os Estados Unidos e além.
"Um grande número de vacinas para SARS-CoV-2 foi desenvolvido e licenciado", afirmou Juan Manuel Carreño, escrevendo com uma equipe de pesquisadores da Science Translational Medicine . Como cientista pesquisador do departamento de microbiologia da Escola de Medicina Icahn de Mount Sinai, na cidade de Nova York, onde a vacina foi desenvolvida, Carreño destacou a necessidade de vacinas COVID eficazes e acessíveis em regiões negligenciadas do mundo.
“Existe uma necessidade de vacinas SARS-CoV-2 que possam ser produzidas localmente a baixo custo em países de baixa e média renda”, acrescentou Carreño, principal autor da nova análise. O estudo analisou as respostas de anticorpos provocadas pela vacina experimental conhecida como NDV-HXP-S, que é produzida em ovos de galinha.
A pesquisa descobriu que a vacina experimental gerou uma proporção maior de anticorpos neutralizantes contra SARS-CoV-2 em voluntários em comparação com a proporção de anticorpos neutralizantes produzidos por um grupo separado de pessoas que foram vacinadas com a vacina mRNA da Pfizer.
Um anticorpo neutralizante é aquele que defende as células saudáveis ??de um vírus, neutralizando os esforços do patógeno para entrar. Por exemplo, um anticorpo neutralizante pode impedir que um vírus faça uma mudança conformacional – trocando sua estrutura por uma nova forma. A mudança de forma viral é uma maneira de infectar uma célula.
Os anticorpos neutralizantes diferem dos anticorpos de ligação, que se prendem ao patógeno e alertam as células guerreiras do sistema imunológico de que uma invasão viral está em andamento. Enquanto as pessoas que foram vacinadas com NDV-HXP-S tiveram uma proporção maior de anticorpos neutralizantes, suas taxas de ligação aos anticorpos neutralizantes foram menores do que aquelas que foram vacinadas com a vacina de mRNA da Pfizer. Quando todas as variáveis ??foram levadas em consideração, a equipe concluiu que as respostas de anticorpos entre as duas vacinas eram comparáveis.
As descobertas da pesquisa sugerem que, mesmo em regiões com infraestrutura de produção de vacinas anteriormente limitada, é possível fabricar vacinas robustas contra COVID a baixo custo. Os países ocidentais são avessos ao compartilhamento de tecnologia no início da pandemia, um fator que deixou dezenas de pessoas em países de baixa e média renda com poucas oportunidades de vacinação. Agora, a maré está mudando, embora três anos após a declaração da pandemia global de SARS-CoV-2.
“As vacinas produzidas localmente podem aumentar o acesso à vacina e a independência da vacina, especialmente para países de baixa e média renda”, acrescentou Carreño. "A vacina NDV-HXP-S foi projetada para ajudar a fechar essa lacuna porque pode ser produzida economicamente em fábricas de vacinas contra influenza localizadas [nestes países]. Além disso, pode ser armazenada e distribuída sem a necessidade de freezers".
Embora as vacinas de mRNA tenham dominado a resposta dos EUA à pandemia, a tecnologia subjacente a essas injeções é cara. Os ingredientes delicados e sensíveis à temperatura necessários para as vacinas de mRNA podem ser difíceis de armazenar em regiões distantes do globo. Para atender à necessidade global de uma vacina de baixo custo que possa ser produzida localmente, os cientistas vêm desenvolvendo alternativas, como a NDV-HXP-S.
As iniciais da vacina, NDV-HXP-S, representam o vírus da doença de Newcastle, HexaPro e spike protein. A produção da vacina envolve um vetor, que no caso é o vírus da doença de Newcastle, agente que infecta aves. A vacina é fabricada por meio de tecnologia baseada em ovo, que tem sido usada há décadas para produzir vacinas anuais contra a gripe. O vetor viral Newcastle não é usado na produção de vacinas contra influenza.
O vetor funciona perfeitamente bem no processo de produção de NDV-HXP-S, transportando componentes da vacina para ovos de galinha embrionados. O resultado, no caso da vacina usada na Tailândia, é uma vacina inativada, que é uma partícula viral que exibe a proteína spike do SARS-C0V-2 em sua superfície.
“O NDV-HXP-S pode ser usado como uma vacina viva ou inativada”, explicou Carreño, observando na Science Translational Medicine que os ensaios clínicos com uma versão viva da vacina estão em andamento no México e nos Estados Unidos. Assim como na Tailândia, os ensaios clínicos no Vietnã e no Brasil envolvem uma forma inativada da vacina.
A imunização NDV-HXP-S foi desenvolvida na Escola de Medicina Icahn de Mount Sinai, na cidade de Nova York, por virologistas e vacinologistas de renome mundial, Drs. Peter Palese, Adolfo Garcia-Sastre e Florian Krammer, todos os principais membros da pesquisa clínica atual.
A equipe analisou as respostas de anticorpos depois que os voluntários tailandeses foram vacinados no estudo clínico de fase 1. Os pesquisadores estudaram amostras de soro de 210 voluntários tailandeses que receberam um placebo ou a vacina NDV-HXP-S inativada.
Eles compararam os anticorpos dos voluntários tailandeses com os de 20 pessoas que receberam a vacina de mRNA da Pfizer na cidade de Nova York. Anticorpos induzidos por NDV-HXP-S tendem a atingir o domínio de ligação ao receptor do vírus, em vez da subunidade S2 da proteína spike, descobriram os pesquisadores.
"A atividade neutralizante de soros de vacinados com NDV-HXP-S foi comparável à dos vacinados [Pfizer], enquanto a atividade de ligação da proteína spike das amostras de vacinados com NDV-HXP-S foi menor do que a dos soros obtidos de vacinas de mRNA", Carreño e colegas escreveram. "Isso nos levou a calcular as proporções entre os títulos de anticorpos de ligação e neutralização.
"Em resumo, mostramos que uma vacina candidata que pode ser produzida localmente em [países de baixa e média renda] a baixo custo induz títulos de anticorpos neutralizantes para SARS-CoV-2 comparáveis ??aos observados em coortes que receberam vacinas baseadas em mRNA Vacinas contra a COVID-19", concluiu Carreño.
Mais informações: Juan Manuel Carreño et al, Uma vacina inativada NDV-HXP-S COVID-19 provoca uma proporção maior de anticorpos neutralizantes em humanos do que a vacinação de mRNA, Science Translational Medicine (2023). DOI: 10.1126/scitranslmed.abo2847
Informações da revista: Science Translational Medicine