Seleção in silico de padrões moleculares associados a danos (DAMPS) e seus receptores em humanos
DOI:
https://doi.org/10.33448/rsd-v11i10.32838Palavras-chave:
Sistema imunológico; Imunidade Inata; mRNA; Biologia Molecular.Resumo
Os padrões moleculares associados ao dano (DAMPs) são moléculas intracelulares lançadas para o meio extracelular após lesão. Estes são reconhecidos por receptores de reconhecimento de padrão (PRRs) e ativam o sistema imune inato, desencadeando uma resposta inflamatória. Os DAMPs mais comumente estudados são as proteínas S100, as Proteínas de Choque Térmico (HSPs) e o Grupo Box de Alta Mobilidade 1 (HMGB1). Dentre os PRRs, estão o Receptor Toll-like (TLRs), o Receptor para Produtos Finais de Glicação Avançada (RAGEs), Receptor Nod-like (NLRs) e o Receptor Ausente no Melanoma 2 (AIM-2). Os DAMPs encontram-se intimamente envolvidos na etiopatogenia de doenças crônicas como câncer, diabetes, hepatopatias, cardiopatias e doenças neurodegenerativas. É de grande relevância a seleção de marcadores moleculares que viabilizem a montagem de ensaios biológicos, com vistas à elucidação da avaliação da resposta imunológica. O presente estudo avaliou diferentes DAMPs humanos e seus receptores no intuito de encontrar marcadores moleculares associados a enfermidades utilizando ferramentas de bioinformática. A triagem de sequências de aminoácidos de RNA mensageiro (mRNA) foi realizada na base NCBI por meio da ferramenta nucleotide. Foram avaliados a predição de mRNA secundário através dos softwares RNAStructure e RNA foldWebServer, predição de antigenicidade de epítopos pelo software do Immune Epitope Database Analysis Resource e o desenho de primers foi feito na Plataforma Primer- BLAST. Considerando as melhores predições de mRNA secundário de receptores e DAMPs, foram preditos 104 epítopos e 83 candidatos a marcadores moleculares. Os resultados apresentados são promissores e poderão ser utilizados como imunomoduladores ou como plataformas de diagnóstico e prognóstico em várias enfermidades.
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Copyright (c) 2022 Erika Aparecida Oliveira; Rebeca Louise de Araujo Brabosa; Wanderley José Mantovani Bittencourt; Laura Cristina Jardim Porto Pimenta; Luciano José Pereira; Elaine Maria Seles Dorneles; Ana Paula Peconick
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