Detalhes bibliográficos
Ano de defesa: |
2023 |
Autor(a) principal: |
Silva, Pedro Henrique Costa Matos da
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Orientador(a): |
Reis, Angela Adamski da Silva
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Banca de defesa: |
Reis, Angela Adamski da Silva,
Soares, Leonardo Ribeiro,
Franchi, Leonardo Pereira |
Tipo de documento: |
Dissertação
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Tipo de acesso: |
Acesso aberto |
Idioma: |
por |
Instituição de defesa: |
Universidade Federal de Goiás
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Programa de Pós-Graduação: |
Programa de Pós-graduação em Ciências da Saúde (FM)
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Departamento: |
Faculdade de Medicina - FM (RG)
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País: |
Brasil
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Palavras-chave em Português: |
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Palavras-chave em Inglês: |
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Área do conhecimento CNPq: |
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Link de acesso: |
http://repositorio.bc.ufg.br/tede/handle/tede/13043
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Resumo: |
Gestational diabetes mellitus (GDM) is a common condition during pregnancy and can be diagnosed from the beginning of prenatal care. Studies have highlighted the role of microRNAs (miRNAs) in the pathophysiological mechanism and as possible biomarkers for the diagnosis and treatment of GDM. miRNAs, a class of small non-coding RNAs, play a role in post-transcriptional gene expression. Therefore, this study aimed to perform a systematic review of miRNAs associated with GDM, to build a panel of miRNAs. A bibliographic search was carried out in PubMed/Medline, Virtual Health Library (VHL), Web of Science and EMBASE databases, selecting observational studies in English, without time restriction. The protocol is registered on the PROSPERO platform (number CRD42021291791). Fifty-five studies were included in this systematic review, and 82 altered miRNAs in DMG were identified. Furthermore, four miRNAs were more frequently upregulated in GDM (mir-16-5p, mir-20a-5p, mir-222- 3p and mir-330-3p). The dysregulation of these miRNAs is associated with mechanisms of cell cycle homeostasis, growth and proliferation of pancreatic β cells, glucose uptake and metabolism, insulin secretion and resistance. Therefore, identifying miRNAs associated with GDM and elucidating its main mechanisms can help in the characterization and definition of possible biomarkers for the diagnosis and treatment of GDM. |