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MUC22, HLA-A, and HLA-DOB variants and COVID-19 in resilient super-agers from Brazil.
Castelli, Erick C; de Castro, Mateus V; Naslavsky, Michel S; Scliar, Marilia O; Silva, Nayane S B; Pereira, Raphaela N; Ciriaco, Viviane A O; Castro, Camila F B; Mendes-Junior, Celso T; Silveira, Etiele de S; de Oliveira, Iuri M; Antonio, Eduardo C; Vieira, Gustavo F; Meyer, Diogo; Nunes, Kelly; Matos, Larissa R B; Silva, Monize V R; Wang, Jaqueline Y T; Esposito, Joyce; Cória, Vivian R; Magawa, Jhosiene Y; Santos, Keity S; Cunha-Neto, Edecio; Kalil, Jorge; Bortolin, Raul H; Hirata, Mário Hiroyuki; Dell'Aquila, Luiz P; Razuk-Filho, Alvaro; Batista-Júnior, Pedro B; Duarte-Neto, Amaro N; Dolhnikoff, Marisa; Saldiva, Paulo H N; Passos-Bueno, Maria Rita; Zatz, Mayana.
Afiliação
  • Castelli EC; Department of Pathology, School of Medicine, São Paulo State University (UNESP), Botucatu, Brazil.
  • de Castro MV; Molecular Genetics and Bioinformatics Laboratory, Experimental Research Unit (Unipex), School of Medicine, São Paulo State University (UNESP), Botucatu, Brazil.
  • Naslavsky MS; Human Genome and Stem Cell Research Center, University of São Paulo, São Paulo, Brazil.
  • Scliar MO; Human Genome and Stem Cell Research Center, University of São Paulo, São Paulo, Brazil.
  • Silva NSB; Department of Genetics and Evolutionary Biology, Biosciences Institute, University of São Paulo, São Paulo, Brazil.
  • Pereira RN; Human Genome and Stem Cell Research Center, University of São Paulo, São Paulo, Brazil.
  • Ciriaco VAO; Molecular Genetics and Bioinformatics Laboratory, Experimental Research Unit (Unipex), School of Medicine, São Paulo State University (UNESP), Botucatu, Brazil.
  • Castro CFB; Molecular Genetics and Bioinformatics Laboratory, Experimental Research Unit (Unipex), School of Medicine, São Paulo State University (UNESP), Botucatu, Brazil.
  • Mendes-Junior CT; Molecular Genetics and Bioinformatics Laboratory, Experimental Research Unit (Unipex), School of Medicine, São Paulo State University (UNESP), Botucatu, Brazil.
  • Silveira ES; Molecular Genetics and Bioinformatics Laboratory, Experimental Research Unit (Unipex), School of Medicine, São Paulo State University (UNESP), Botucatu, Brazil.
  • de Oliveira IM; Centro Universitário Sudoeste Paulista, Avaré, Brazil.
  • Antonio EC; Departamento de Química, Faculdade de Filosofa, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, Brazil.
  • Vieira GF; Programa de Pós-Graduação em Genética e Biologia Molecular, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
  • Meyer D; Programa de Pós-Graduação em Genética e Biologia Molecular, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
  • Nunes K; Programa de Pós-Graduação em Genética e Biologia Molecular, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
  • Matos LRB; Programa de Pós-Graduação em Genética e Biologia Molecular, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
  • Silva MVR; Laboratório de Saúde Humana In Silico, Programa de Pós-Graduação em Saúde e Desenvolvimento Humano, Universidade La Salle, Canoas, Brazil.
  • Wang JYT; Department of Genetics and Evolutionary Biology, Biosciences Institute, University of São Paulo, São Paulo, Brazil.
  • Esposito J; Department of Genetics and Evolutionary Biology, Biosciences Institute, University of São Paulo, São Paulo, Brazil.
  • Cória VR; Human Genome and Stem Cell Research Center, University of São Paulo, São Paulo, Brazil.
  • Magawa JY; Human Genome and Stem Cell Research Center, University of São Paulo, São Paulo, Brazil.
  • Santos KS; Human Genome and Stem Cell Research Center, University of São Paulo, São Paulo, Brazil.
  • Cunha-Neto E; Human Genome and Stem Cell Research Center, University of São Paulo, São Paulo, Brazil.
  • Kalil J; Human Genome and Stem Cell Research Center, University of São Paulo, São Paulo, Brazil.
  • Bortolin RH; Departamento de Clínica Médica, Disciplina de Alergia e Imunologia Clínica, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
  • Hirata MH; Laboratório de Imunologia, Instituto do Coração (InCor), LIM19, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, (HCFMUSP), São Paulo, Brazil.
  • Dell'Aquila LP; Instituto de Investigação em Imunologia, Instituto Nacional de Ciências e Tecnologia-iii (INCT), São Paulo, Brazil.
  • Razuk-Filho A; Departamento de Clínica Médica, Disciplina de Alergia e Imunologia Clínica, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
  • Batista-Júnior PB; Laboratório de Imunologia, Instituto do Coração (InCor), LIM19, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, (HCFMUSP), São Paulo, Brazil.
  • Duarte-Neto AN; Instituto de Investigação em Imunologia, Instituto Nacional de Ciências e Tecnologia-iii (INCT), São Paulo, Brazil.
  • Dolhnikoff M; Departamento de Clínica Médica, Disciplina de Alergia e Imunologia Clínica, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
  • Saldiva PHN; Laboratório de Imunologia, Instituto do Coração (InCor), LIM19, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, (HCFMUSP), São Paulo, Brazil.
  • Passos-Bueno MR; Instituto de Investigação em Imunologia, Instituto Nacional de Ciências e Tecnologia-iii (INCT), São Paulo, Brazil.
  • Zatz M; Departamento de Clínica Médica, Disciplina de Alergia e Imunologia Clínica, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
Front Immunol ; 13: 975918, 2022.
Article em En | MEDLINE | ID: mdl-36389712
Background: Although aging correlates with a worse prognosis for Covid-19, super elderly still unvaccinated individuals presenting mild or no symptoms have been reported worldwide. Most of the reported genetic variants responsible for increased disease susceptibility are associated with immune response, involving type I IFN immunity and modulation; HLA cluster genes; inflammasome activation; genes of interleukins; and chemokines receptors. On the other hand, little is known about the resistance mechanisms against SARS-CoV-2 infection. Here, we addressed polymorphisms in the MHC region associated with Covid-19 outcome in super elderly resilient patients as compared to younger patients with a severe outcome. Methods: SARS-CoV-2 infection was confirmed by RT-PCR test. Aiming to identify candidate genes associated with host resistance, we investigated 87 individuals older than 90 years who recovered from Covid-19 with mild symptoms or who remained asymptomatic following positive test for SARS-CoV-2 as compared to 55 individuals younger than 60 years who had a severe disease or died due to Covid-19, as well as to the general elderly population from the same city. Whole-exome sequencing and an in-depth analysis of the MHC region was performed. All samples were collected in early 2020 and before the local vaccination programs started. Results: We found that the resilient super elderly group displayed a higher frequency of some missense variants in the MUC22 gene (a member of the mucins' family) as one of the strongest signals in the MHC region as compared to the severe Covid-19 group and the general elderly control population. For example, the missense variant rs62399430 at MUC22 is two times more frequent among the resilient super elderly (p = 0.00002, OR = 2.24). Conclusion: Since the pro-inflammatory basal state in the elderly may enhance the susceptibility to severe Covid-19, we hypothesized that MUC22 might play an important protective role against severe Covid-19, by reducing overactive immune responses in the senior population.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Limite: Aged / Humans País como assunto: America do sul / Brasil Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 Limite: Aged / Humans País como assunto: America do sul / Brasil Idioma: En Ano de publicação: 2022 Tipo de documento: Article