In silico transcriptional analysis of mRNA and miRNA reveals unique biosignatures that characterizes different types of diabetes

Detalhes bibliográficos
Autor(a) principal: Cubillos-Angulo, Juan Manuel
Data de Publicação: 2020
Outros Autores: Vinhaes, Caian L., Fukutani, Eduardo R., Albuquerque, Victor V. S., Queiroz, Artur Trancoso Lopo de, Andrade, Bruno de Bezerril, Fukutani, Kiyoshi Ferreira
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da FIOCRUZ (ARCA)
Texto Completo: https://www.arca.fiocruz.br/handle/icict/44297
Resumo: Intramural Program of Fundac¸ão Oswaldo Cruz (FIOCRUZ) and by the Brazilian National Council for Scientific and Technological Development (CNPq). K.F.F. received a fellowship from the Programa Nacional de Po´s-Doutorado, Coordenac¸ão de Aperfeic¸oamento de Pessoal de Nı´vel Superior (CAPES) (Finance Code 001). The work of B.B.A. was supported by grants from the NIH (U01AI115940, R01AI069923-08, R01AI20790- 02). BBA and A.T.L.Q are senior investigators from CNPq. J. M. C-A. was supported by the Organization of American States - Partnerships Program for Education and Training (OAS-PAEC) and Coordenac¸ão de Aperfeic¸oamento de Pessoal de Nı´vel Superior (CAPES) (Finance Code 001). C. L.V. is a research fellow from CNPq.
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spelling Cubillos-Angulo, Juan ManuelVinhaes, Caian L.Fukutani, Eduardo R.Albuquerque, Victor V. S.Queiroz, Artur Trancoso Lopo deAndrade, Bruno de BezerrilFukutani, Kiyoshi Ferreira2020-11-03T12:43:55Z2020-11-03T12:43:55Z2020CUBILLOS-ANGULO, Juan Manuel et al. In silico transcriptional analysis of mRNA and miRNA reveals unique biosignatures that characterizes different types of diabetes. Plos One, p. 1-17, Sept. 2020.1932-6203https://www.arca.fiocruz.br/handle/icict/4429710.1371/journal.pone.0239061Intramural Program of Fundac¸ão Oswaldo Cruz (FIOCRUZ) and by the Brazilian National Council for Scientific and Technological Development (CNPq). K.F.F. received a fellowship from the Programa Nacional de Po´s-Doutorado, Coordenac¸ão de Aperfeic¸oamento de Pessoal de Nı´vel Superior (CAPES) (Finance Code 001). The work of B.B.A. was supported by grants from the NIH (U01AI115940, R01AI069923-08, R01AI20790- 02). BBA and A.T.L.Q are senior investigators from CNPq. J. M. C-A. was supported by the Organization of American States - Partnerships Program for Education and Training (OAS-PAEC) and Coordenac¸ão de Aperfeic¸oamento de Pessoal de Nı´vel Superior (CAPES) (Finance Code 001). C. L.V. is a research fellow from CNPq.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil / Universidade Federal da Bahia. Faculdade de Medicina. Salvador, BA, Brasil / Faculdade de Tecnologia e Ciências. Curso de Medicina. Salvador, BA, Brasil.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil / Faculdade de Tecnologia e Ciências. Curso de Medicina. Salvador, BA, Brasil / Multinational Organization Network Sponsoring Translational and Epidemiological Research Initiative, Salvador, BA, Brazil.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil.Escola Bahiana de Medicina e Saúde Pública. Salvador, BA, Brasil.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil / Multinational Organization Network Sponsoring Translational and Epidemiological Research Initiative, Salvador, BA, Brazil.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil / Universidade Federal da Bahia. Faculdade de Medicina. Salvador, BA, Brasil / Faculdade de Tecnologia e Ciências. Curso de Medicina. Salvador, BA, Brasil / Multinational Organization Network Sponsoring Translational and Epidemiological Research Initiative, Salvador, BA, Brazil / Escola Bahiana de Medicina e Saúde Pública. Salvador, BA, Brasil / Universidade Salvador. Laureate Universities. Salvador, BA, Brasil.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil / Faculdade de Tecnologia e Ciências. Curso de Medicina. Salvador, BA, Brasil / Multinational Organization Network Sponsoring Translational and Epidemiological Research Initiative, Salvador, BA, Brazil.Diabetes (DM) has a significant impact on public health. We performed an in silico study of paired datasets of messenger RNA (mRNA) micro-RNA (miRNA) transcripts to delineate potential biosignatures that could distinguish prediabetes (pre-DM), type-1DM (T1DM) and type-2DM (T2DM). Two publicly available datasets containing expression values of mRNA and miRNA obtained from individuals diagnosed with pre-DM, T1DM or T2DM, and normoglycemic controls (NC), were analyzed using systems biology approaches to define combined signatures to distinguish different clinical groups. The mRNA profile of both pre-DM and T2DM was hallmarked by several differentially expressed genes (DEGs) compared to NC. Nevertheless, T1DM was characterized by an overall low number of DEGs. The miRNA signature profiles were composed of a substantially lower number of differentially expressed targets. Gene enrichment analysis revealed several inflammatory pathways in T2DM and fewer in pre-DM, but with shared findings such as Tuberculosis. The integration of mRNA and miRNA datasets improved the identification and discriminated the group composed by pre-DM and T2DM patients from that constituted by normoglycemic and T1DM individuals. The integrated transcriptomic analysis of mRNA and miRNA expression revealed a unique biosignature able to characterize different types of DM.engPublic Library of ScienceDiabetesSaúde públicaMicroRNAsEstado Pré-DiabéticoDiabetesHealth publicMicroRNAsPrediabetic StateIn silico transcriptional analysis of mRNA and miRNA reveals unique biosignatures that characterizes different types of diabetesinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da FIOCRUZ (ARCA)instname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZORIGINALCubillos-Angulo_Juan_etal_IGM_2020.pdfCubillos-Angulo_Juan_etal_IGM_2020.pdfapplication/pdf2974423https://www.arca.fiocruz.br/bitstream/icict/44297/1/Cubillos-Angulo_Juan_etal_IGM_2020.pdf17726a1f68ccb5f2e8ff3c68d60e8769MD51TEXTCubillos-Angulo_Juan_etal_IGM_2020.pdf.txtCubillos-Angulo_Juan_etal_IGM_2020.pdf.txtExtracted texttext/plain56986https://www.arca.fiocruz.br/bitstream/icict/44297/2/Cubillos-Angulo_Juan_etal_IGM_2020.pdf.txtb0c2f45250caedf37eb4b111025d86d3MD52icict/442972023-03-15 14:34:26.398oai:www.arca.fiocruz.br:icict/44297Repositório InstitucionalPUBhttps://www.arca.fiocruz.br/oai/requestrepositorio.arca@fiocruz.bropendoar:21352023-03-15T17:34:26Repositório Institucional da FIOCRUZ (ARCA) - Fundação Oswaldo Cruz (FIOCRUZ)false
dc.title.pt_BR.fl_str_mv In silico transcriptional analysis of mRNA and miRNA reveals unique biosignatures that characterizes different types of diabetes
title In silico transcriptional analysis of mRNA and miRNA reveals unique biosignatures that characterizes different types of diabetes
spellingShingle In silico transcriptional analysis of mRNA and miRNA reveals unique biosignatures that characterizes different types of diabetes
Cubillos-Angulo, Juan Manuel
Diabetes
Saúde pública
MicroRNAs
Estado Pré-Diabético
Diabetes
Health public
MicroRNAs
Prediabetic State
title_short In silico transcriptional analysis of mRNA and miRNA reveals unique biosignatures that characterizes different types of diabetes
title_full In silico transcriptional analysis of mRNA and miRNA reveals unique biosignatures that characterizes different types of diabetes
title_fullStr In silico transcriptional analysis of mRNA and miRNA reveals unique biosignatures that characterizes different types of diabetes
title_full_unstemmed In silico transcriptional analysis of mRNA and miRNA reveals unique biosignatures that characterizes different types of diabetes
title_sort In silico transcriptional analysis of mRNA and miRNA reveals unique biosignatures that characterizes different types of diabetes
author Cubillos-Angulo, Juan Manuel
author_facet Cubillos-Angulo, Juan Manuel
Vinhaes, Caian L.
Fukutani, Eduardo R.
Albuquerque, Victor V. S.
Queiroz, Artur Trancoso Lopo de
Andrade, Bruno de Bezerril
Fukutani, Kiyoshi Ferreira
author_role author
author2 Vinhaes, Caian L.
Fukutani, Eduardo R.
Albuquerque, Victor V. S.
Queiroz, Artur Trancoso Lopo de
Andrade, Bruno de Bezerril
Fukutani, Kiyoshi Ferreira
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Cubillos-Angulo, Juan Manuel
Vinhaes, Caian L.
Fukutani, Eduardo R.
Albuquerque, Victor V. S.
Queiroz, Artur Trancoso Lopo de
Andrade, Bruno de Bezerril
Fukutani, Kiyoshi Ferreira
dc.subject.other.pt_BR.fl_str_mv Diabetes
Saúde pública
MicroRNAs
Estado Pré-Diabético
topic Diabetes
Saúde pública
MicroRNAs
Estado Pré-Diabético
Diabetes
Health public
MicroRNAs
Prediabetic State
dc.subject.en.pt_BR.fl_str_mv Diabetes
Health public
MicroRNAs
Prediabetic State
description Intramural Program of Fundac¸ão Oswaldo Cruz (FIOCRUZ) and by the Brazilian National Council for Scientific and Technological Development (CNPq). K.F.F. received a fellowship from the Programa Nacional de Po´s-Doutorado, Coordenac¸ão de Aperfeic¸oamento de Pessoal de Nı´vel Superior (CAPES) (Finance Code 001). The work of B.B.A. was supported by grants from the NIH (U01AI115940, R01AI069923-08, R01AI20790- 02). BBA and A.T.L.Q are senior investigators from CNPq. J. M. C-A. was supported by the Organization of American States - Partnerships Program for Education and Training (OAS-PAEC) and Coordenac¸ão de Aperfeic¸oamento de Pessoal de Nı´vel Superior (CAPES) (Finance Code 001). C. L.V. is a research fellow from CNPq.
publishDate 2020
dc.date.accessioned.fl_str_mv 2020-11-03T12:43:55Z
dc.date.available.fl_str_mv 2020-11-03T12:43:55Z
dc.date.issued.fl_str_mv 2020
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.citation.fl_str_mv CUBILLOS-ANGULO, Juan Manuel et al. In silico transcriptional analysis of mRNA and miRNA reveals unique biosignatures that characterizes different types of diabetes. Plos One, p. 1-17, Sept. 2020.
dc.identifier.uri.fl_str_mv https://www.arca.fiocruz.br/handle/icict/44297
dc.identifier.issn.pt_BR.fl_str_mv 1932-6203
dc.identifier.doi.none.fl_str_mv 10.1371/journal.pone.0239061
identifier_str_mv CUBILLOS-ANGULO, Juan Manuel et al. In silico transcriptional analysis of mRNA and miRNA reveals unique biosignatures that characterizes different types of diabetes. Plos One, p. 1-17, Sept. 2020.
1932-6203
10.1371/journal.pone.0239061
url https://www.arca.fiocruz.br/handle/icict/44297
dc.language.iso.fl_str_mv eng
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dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Public Library of Science
publisher.none.fl_str_mv Public Library of Science
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instname:Fundação Oswaldo Cruz (FIOCRUZ)
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collection Repositório Institucional da FIOCRUZ (ARCA)
bitstream.url.fl_str_mv https://www.arca.fiocruz.br/bitstream/icict/44297/1/Cubillos-Angulo_Juan_etal_IGM_2020.pdf
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