Association between SNPs in microRNAs and microRNAs-Machinery genes with susceptibility of leprosy in the amazon population

Detalhes bibliográficos
Autor(a) principal: Silva, Mayara Natália Santana da
Data de Publicação: 2022
Outros Autores: Leal, Diana Feio da Veiga Borges, Sena, Camille, Pinto, Pablo, Gobbo, Angélica Rita, Silva, Moises Batista da, Salgado, Claudio Guedes
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Digital do Instituto Evandro Chagas (Patuá)
Texto Completo: https://patua.iec.gov.br/handle/iec/4673
Resumo: Leprosy is a chronic neurodermatological disease caused by the bacillus Mycobacterium leprae. Recent studies show that SNPs in genes related to miRNAs have been associated with several diseases in different populations. This study aimed to evaluate the association of twenty-five SNPs in genes encoding miRNAs related to biological processes and immune response with susceptibility to leprosy and its polar forms paucibacillary and multibacillary in the Brazilian Amazon. A total of 114 leprosy patients and 71 household contacts were included in this study. Genotyping was performed using TaqMan Open Array Genotyping. Ancestry-informative markers were used to estimate individual proportions of case and control groups. The SNP rs2505901 (pre-miR938) was associated with protection against the development of paucibacillary leprosy, while the SNPs rs639174 (DROSHA), rs636832 (AGO1), and rs4143815 (miR570) were associated with protection against the development of multibacillary leprosy. In contrast, the SNPs rs10739971 (pri-let-7a1), rs12904 (miR200C), and rs2168518 (miR4513) are associated with the development of the paucibacillary leprosy. The rs10739971 (pri-let-7a1) polymorphism was associated with the development of leprosy, while rs2910164 (miR146A) and rs10035440 (DROSHA) was significantly associated with an increased risk of developing multibacillary leprosy.
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spelling Silva, Mayara Natália Santana daLeal, Diana Feio da Veiga BorgesSena, CamillePinto, PabloGobbo, Angélica RitaSilva, Moises Batista daSalgado, Claudio Guedes2022-10-11T13:24:23Z2022-10-11T13:24:23Z2022SILVA, Mayara Natália Santana da et al. Association between SNPs in microRNAs and microRNAs-Machinery genes with susceptibility of leprosy in the amazon population. International Journal of Molecular Sciences, v. 23, n. 18, p. 1-12, 2022. DOI: https://doi.org/10.3390/ijms231810628. Disponível em: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503809/pdf/ijms-23-10628.pdf.1422-0067https://patua.iec.gov.br/handle/iec/467310.3390/ijms231810628.Leprosy is a chronic neurodermatological disease caused by the bacillus Mycobacterium leprae. Recent studies show that SNPs in genes related to miRNAs have been associated with several diseases in different populations. This study aimed to evaluate the association of twenty-five SNPs in genes encoding miRNAs related to biological processes and immune response with susceptibility to leprosy and its polar forms paucibacillary and multibacillary in the Brazilian Amazon. A total of 114 leprosy patients and 71 household contacts were included in this study. Genotyping was performed using TaqMan Open Array Genotyping. Ancestry-informative markers were used to estimate individual proportions of case and control groups. The SNP rs2505901 (pre-miR938) was associated with protection against the development of paucibacillary leprosy, while the SNPs rs639174 (DROSHA), rs636832 (AGO1), and rs4143815 (miR570) were associated with protection against the development of multibacillary leprosy. In contrast, the SNPs rs10739971 (pri-let-7a1), rs12904 (miR200C), and rs2168518 (miR4513) are associated with the development of the paucibacillary leprosy. The rs10739971 (pri-let-7a1) polymorphism was associated with the development of leprosy, while rs2910164 (miR146A) and rs10035440 (DROSHA) was significantly associated with an increased risk of developing multibacillary leprosy.The Brazilian National Research Council (CNPq) 407922/2021- 0, the Coordination for Higher Education Personnel Training (CAPES) 3381/2013, the Amazonian Research Foundation (FAPESPA), the VALE S.A. 27756/2019 and by the PROPESP/PROEX/UFPA.Universidade Federal do Pará. Instituto de Ciências Biológicas. Laboratório de Genética Humana e Médica. Belém, PA, Brazil / Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Laboratório de Biologia e Eletrofisiologia Celular. Ananindeua, PA, Brasil.Universidade Federal do Pará. Instituto de Ciências Biológicas. Núcleo de Pesquisas em Oncologia. Belém, PA, Brazil.Universidade Federal do Pará. Instituto de Ciências Biológicas. Laboratório de Genética Humana e Médica. Belém, PA, Brazil.Universidade Federal do Pará. Instituto de Ciências Biológicas. Laboratório de Genética Humana e Médica. Belém, PA, Brazil / Universidade Federal do Pará. Instituto de Ciências Biológicas. Laboratório de Dermato-Imunologia. Belém, PA, Brazil.Universidade Federal do Pará. Instituto de Ciências Biológicas. Laboratório de Dermato-Imunologia. Belém, PA, Brazil.Universidade Federal do Pará. Instituto de Ciências Biológicas. Laboratório de Dermato-Imunologia. Belém, PA, Brazil.Universidade Federal do Pará. Instituto de Ciências Biológicas. Laboratório de Dermato-Imunologia. Belém, PA, Brazil.Universidade Federal do Pará. Instituto de Ciências Biológicas. Laboratório de Genética Humana e Médica. Belém, PA, Brazil / Universidade Federal do Pará. Instituto de Ciências Biológicas. Núcleo de Pesquisas em Oncologia. Belém, PA, Brazil.Universidade Federal do Pará. Instituto de Ciências Biológicas. Laboratório de Genética Humana e Médica. Belém, PA, Brazil / Universidade Federal do Pará. Instituto de Ciências Biológicas. Núcleo de Pesquisas em Oncologia. 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dc.title.pt_BR.fl_str_mv Association between SNPs in microRNAs and microRNAs-Machinery genes with susceptibility of leprosy in the amazon population
title Association between SNPs in microRNAs and microRNAs-Machinery genes with susceptibility of leprosy in the amazon population
spellingShingle Association between SNPs in microRNAs and microRNAs-Machinery genes with susceptibility of leprosy in the amazon population
Silva, Mayara Natália Santana da
Hanseníase / patologia
Mycobacterium leprae / patogenicidade
Polimorfismo de Nucleotídeo Único / genética
Biomarcadores
title_short Association between SNPs in microRNAs and microRNAs-Machinery genes with susceptibility of leprosy in the amazon population
title_full Association between SNPs in microRNAs and microRNAs-Machinery genes with susceptibility of leprosy in the amazon population
title_fullStr Association between SNPs in microRNAs and microRNAs-Machinery genes with susceptibility of leprosy in the amazon population
title_full_unstemmed Association between SNPs in microRNAs and microRNAs-Machinery genes with susceptibility of leprosy in the amazon population
title_sort Association between SNPs in microRNAs and microRNAs-Machinery genes with susceptibility of leprosy in the amazon population
author Silva, Mayara Natália Santana da
author_facet Silva, Mayara Natália Santana da
Leal, Diana Feio da Veiga Borges
Sena, Camille
Pinto, Pablo
Gobbo, Angélica Rita
Silva, Moises Batista da
Salgado, Claudio Guedes
author_role author
author2 Leal, Diana Feio da Veiga Borges
Sena, Camille
Pinto, Pablo
Gobbo, Angélica Rita
Silva, Moises Batista da
Salgado, Claudio Guedes
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Silva, Mayara Natália Santana da
Leal, Diana Feio da Veiga Borges
Sena, Camille
Pinto, Pablo
Gobbo, Angélica Rita
Silva, Moises Batista da
Salgado, Claudio Guedes
dc.subject.decsPrimary.pt_BR.fl_str_mv Hanseníase / patologia
Mycobacterium leprae / patogenicidade
Polimorfismo de Nucleotídeo Único / genética
Biomarcadores
topic Hanseníase / patologia
Mycobacterium leprae / patogenicidade
Polimorfismo de Nucleotídeo Único / genética
Biomarcadores
description Leprosy is a chronic neurodermatological disease caused by the bacillus Mycobacterium leprae. Recent studies show that SNPs in genes related to miRNAs have been associated with several diseases in different populations. This study aimed to evaluate the association of twenty-five SNPs in genes encoding miRNAs related to biological processes and immune response with susceptibility to leprosy and its polar forms paucibacillary and multibacillary in the Brazilian Amazon. A total of 114 leprosy patients and 71 household contacts were included in this study. Genotyping was performed using TaqMan Open Array Genotyping. Ancestry-informative markers were used to estimate individual proportions of case and control groups. The SNP rs2505901 (pre-miR938) was associated with protection against the development of paucibacillary leprosy, while the SNPs rs639174 (DROSHA), rs636832 (AGO1), and rs4143815 (miR570) were associated with protection against the development of multibacillary leprosy. In contrast, the SNPs rs10739971 (pri-let-7a1), rs12904 (miR200C), and rs2168518 (miR4513) are associated with the development of the paucibacillary leprosy. The rs10739971 (pri-let-7a1) polymorphism was associated with the development of leprosy, while rs2910164 (miR146A) and rs10035440 (DROSHA) was significantly associated with an increased risk of developing multibacillary leprosy.
publishDate 2022
dc.date.accessioned.fl_str_mv 2022-10-11T13:24:23Z
dc.date.available.fl_str_mv 2022-10-11T13:24:23Z
dc.date.issued.fl_str_mv 2022
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dc.identifier.citation.fl_str_mv SILVA, Mayara Natália Santana da et al. Association between SNPs in microRNAs and microRNAs-Machinery genes with susceptibility of leprosy in the amazon population. International Journal of Molecular Sciences, v. 23, n. 18, p. 1-12, 2022. DOI: https://doi.org/10.3390/ijms231810628. Disponível em: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503809/pdf/ijms-23-10628.pdf.
dc.identifier.uri.fl_str_mv https://patua.iec.gov.br/handle/iec/4673
dc.identifier.issn.-.fl_str_mv 1422-0067
dc.identifier.doi.pt_BR.fl_str_mv 10.3390/ijms231810628.
identifier_str_mv SILVA, Mayara Natália Santana da et al. Association between SNPs in microRNAs and microRNAs-Machinery genes with susceptibility of leprosy in the amazon population. International Journal of Molecular Sciences, v. 23, n. 18, p. 1-12, 2022. DOI: https://doi.org/10.3390/ijms231810628. Disponível em: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503809/pdf/ijms-23-10628.pdf.
1422-0067
10.3390/ijms231810628.
url https://patua.iec.gov.br/handle/iec/4673
dc.language.iso.fl_str_mv eng
language eng
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