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Proteins and Peptides Studied In Silico and In Vivo for the Treatment of Diabetes Mellitus: A Systematic Review.
Medeiros, Isaiane; Gomes, Ana Francisca Teixeira; Oliveira E Silva, Emilly Guedes; Bezerra, Ingrid Wilza Leal; da Silva Maia, Juliana Kelly; Piuvezam, Grasiela; Morais, Ana Heloneida de Araújo.
Afiliação
  • Medeiros I; Biochemistry and Molecular Biology Postgraduate Program, Biosciences Center, Federal University of Rio Grande do Norte, Natal 59078-970, RN, Brazil.
  • Gomes AFT; Nutrition Postgraduate Program, Center for Health Sciences, Federal University of Rio Grande do Norte, Natal 59078-900, RN, Brazil.
  • Oliveira E Silva EG; Nutrition Postgraduate Program, Center for Health Sciences, Federal University of Rio Grande do Norte, Natal 59078-900, RN, Brazil.
  • Bezerra IWL; Nutrition Department, Center for Health Sciences, Federal University of Rio Grande do Norte, Natal 59078-900, RN, Brazil.
  • da Silva Maia JK; Nutrition Postgraduate Program, Center for Health Sciences, Federal University of Rio Grande do Norte, Natal 59078-900, RN, Brazil.
  • Piuvezam G; Nutrition Department, Center for Health Sciences, Federal University of Rio Grande do Norte, Natal 59078-900, RN, Brazil.
  • Morais AHA; Public Health Department, Federal University of Rio Grande do Norte, Natal 59078-900, RN, Brazil.
Nutrients ; 16(15)2024 Jul 24.
Article em En | MEDLINE | ID: mdl-39125276
ABSTRACT
Bioinformatics has expedited the screening of new efficient therapeutic agents for diseases such as diabetes mellitus (DM). The objective of this systematic review (SR) was to understand naturally occurring proteins and peptides studied in silico and subsequently reevaluated in vivo for treating DM, guided by the question which peptides or proteins have been studied in silico for the treatment of diabetes mellitus? The RS protocol was registered in the International Prospective Register of Systematic Reviews database. Articles meeting the eligibility criteria were selected from the PubMed, ScienceDirect, Scopus, Web of Science, Virtual Health Library (VHL), and EMBASE databases. Five studies that investigated peptides or proteins analyzed in silico and in vivo were selected. Risk of bias assessment was conducted using the adapted Strengthening the Reporting of Empirical Simulation Studies (STRESS) tool. A diverse range of assessed proteins and/or peptides that had a natural origin were investigated in silico and corresponding in vivo reevaluation demonstrated reductions in glycemia and/or insulin, morphological enhancements in pancreatic ß cells, and alterations in the gene expression of markers associated with DM. The in silico studies outlined offer crucial insights into therapeutic strategies for DM, along with promising leads for screening novel therapeutic agents in future trials.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Peptídeos / Simulação por Computador / Diabetes Mellitus Limite: Animals / Humans Idioma: En Revista: Nutrients Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Brasil País de publicação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Peptídeos / Simulação por Computador / Diabetes Mellitus Limite: Animals / Humans Idioma: En Revista: Nutrients Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Brasil País de publicação: Suíça