Pesquisadores desenvolvem nova tecnologia para detectar facilmente a tuberculose ativa
Uma equipe de professores da Wayne State University descobriu uma nova tecnologia que detecta rápida e facilmente os anticorpos ativos da infecção por Mycobacterium tuberculosis (TB). Seu trabalho,
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)
Micrografia eletrônica de varredura da bactéria Mycobacterium tuberculosis , que causa a tuberculose. Crédito: NIAID
Uma equipe de professores da Wayne State University descobriu uma nova tecnologia que detecta rápida e facilmente os anticorpos ativos da infecção por Mycobacterium tuberculosis (TB). Seu trabalho, "Descoberta de novos epítopos de transcetolase e o desenvolvimento de sorodiagnósticos de tuberculose baseados em IgG", foi publicado em uma edição recente do Microbiology Spectrum .
A equipe é liderada por Lobelia Samavati, MD, professora do Centro de Medicina Molecular e Genética da Escola de Medicina. Samavati foi acompanhado por Jaya Talreja, Ph.D, e Changya Peng, cientistas pesquisadores do Departamento de Medicina Interna do estado de Wayne.
A tuberculose continua sendo uma ameaça global à saúde, com 10 milhões de novos casos e 1,7 milhão de mortes anualmente. De acordo com o último relatório da Organização Mundial da Saúde, a tuberculose é a 13ª principal causa de morte e a segunda principal causa de morte infecciosa depois do COVID-19. A infecção tuberculosa latente (LTBI) é considerada um reservatório para a bactéria da TB e os indivíduos podem progredir para TB ativa. Um terço da população mundial está infectada com tuberculose e, em média, 5 a 10% das pessoas infectadas com ILTB desenvolverão tuberculose ativa ao longo de suas vidas, geralmente nos primeiros cinco anos após a infecção inicial.
Os testes padrão-ouro para determinar se uma infecção é TB ativa são os testes de cultura e baciloscopia de escarro. No entanto, esses métodos requerem coleta de escarro, que é demorada, cara, requer pessoal treinado e carece de sensibilidade. Os testes convencionais atuais que diferenciam ILTB de controles não infectados – como testes cutâneos de tuberculina (TST) e/ou ensaio de liberação de interferongama (IGRA) – não diferenciam entre infecção por TB ativa e TB latente. Apesar dos avanços nas técnicas moleculares rápidas para o diagnóstico de TB, há uma necessidade não atendida de um teste simples e barato no ponto de atendimento (POC), rápido e não baseado em escarro.
O grupo de pesquisa de Samavati trabalha há mais de 15 anos no desenvolvimento de tecnologia para detecção de anticorpos em diversas doenças respiratórias. Seu laboratório desenvolveu uma nova tecnologia não baseada em escarro e descobriu vários novos epítopos imunológicos que se ligam diferencialmente a imunoglobulina específica (IgG) em indivíduos infectados por TB. Os níveis de IgG específica do epítopo no soro podem diferenciar TB ativa de indivíduos LTBI, controles saudáveis ??e outras doenças respiratórias. Essa tecnologia pode ser usada como um teste sorológico simples de POC-TB não baseado em escarro, altamente específico e sensível, para diferenciar a TB ativa da ILTB.
"Anteriormente, desenvolvemos uma plataforma de exibição de antígeno de fago T7 e, após a imunotriagem de grandes conjuntos de amostras de soro, identificamos 10 clones que se ligam diferencialmente ao anticorpo sérico (IgG) de pacientes com tuberculose ativa, diferenciando a tuberculose de outras doenças respiratórias", disse Samavati.
"Um desses clones de alto desempenho tinha homologia com a enzima Transcetolase (TKT) da bactéria da tuberculose, que é uma enzima essencial necessária para o crescimento intracelular da bactéria em um hospedeiro. Nossa hipótese é que a abundância de IgG no soro contra o novo neoantígeno identificado que nomeamos como TKTµ pode diferenciar entre TB ativa, LTBI e outras doenças pulmonares granulomatosas não-TB, como a sarcoidose. .tb TKT-homólogos do peptídeo com potencial antigenicidade correspondente à transcetolase específica de M.tb (M.tb-TKT1 e M.tb-TKT3) e, portanto, três ELISA de peptídeo padronizado (TKT?, M.tb TKT1 e M.tb TKT3) para o sorodiagnóstico de TB".
Após o desenvolvimento e padronização de um ELISA de peptídeo direto para três peptídeos, a equipe de pesquisa testou 292 indivíduos, e seus resultados de ELISA de peptídeo TKT mostram que os pacientes com TB têm níveis significativamente mais altos de anticorpos específicos para TKT em comparação com pacientes que eram controles saudáveis ??e com ILTB . O aumento dos níveis de anticorpos específicos para TKT está presumivelmente associado ao crescimento da bactéria M. tb em pacientes com tuberculose ativa. O TKT desempenha um papel fundamental na mudança da fase de dormência para a fase proliferativa e a IgG específica do TKT pode revelar as diferenças entre TB ativa e ILTB. Assim, o sorodiagnóstico de TB baseado em IgG com TKT-peptídeo ELISA é promissor.
Atualmente, os testes sorológicos de TB disponíveis comercialmente apresentam baixa sensibilidade e especificidade. Os resultados de ELISA obtidos com os peptídeos TKT descobertos pela equipe de Wayne State produziram alta especificidade e sensibilidade. Seus resultados mostram que os anticorpos IgG contra a transcetolase podem discriminar a tuberculose ativa.?
"Nosso teste ELISA de peptídeo TKT requer peptídeos TKT sintetizados quimicamente para revestir os poços na placa ELISA, menos de 100 µl de amostra de soro sanguíneo do paciente, reagentes de detecção e um leitor de placa ELISA", disse Samavati. "Estamos extremamente entusiasmados com nossa tecnologia e com o fato de que, com um teste simples, podemos diferenciar TB ativa de ILTB e outras doenças respiratórias. Acreditamos que nosso método e ELISA de peptídeo TKT podem atender aos requisitos da Organização Mundial da Saúde e dos Centros de Controle e Prevenção de Doenças como um método de triagem POC."
Mais informações: Jaya Talreja et al, Discovery of Novel Transketolase Epitopes and the Development of IgG-Based Tuberculosis Serodiagnostics, Microbiology Spectrum (2023). DOI: 10.1128/spectrum.03377-22