Nutriproteomics for obesity research

• Autor(a) principal: Brito, Fernando César Rodrigues
• Data de Publicação: 2017
• Outros Autores: Lima Neto, Abelardo Barbosa Moreira, Silva, Bruno Bezerra da, Cunha, Luana Mara Silva de Castro Pacheco da, Souza, Ismael Paula de, Veras, Mariana de Oliveira Viana, Freire, Gildênio Estevam, Santos, Ana Angélica Queiroz Assunção, Cerqueira, Gilberto Santos, Figueiredo, Iolanda Gonçalves de Alencar, Ferreira, Ana Luiza de Rezende, Guedes, Maria Izabel Florindo
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da Universidade Federal do Ceará (UFC)
• Texto Completo: http://www.repositorio.ufc.br/handle/riufc/28238
• topic: Obesidade; Obesity; Biomarcadores; Biomarkers

This study aimed to review findings of scientific articles which the use of proteomic tools made it possible to characterize the metabolic profile of obese individuals. We searched the electronic databases: Scielo, PubMed, Lilacs and capes. The time period was defined as 10 years, having as main keywords: proteomics, proteome, obesity, biomarkers. The use of serum proteomic techniques proposed prognostic markers for diseases and diseases resulting from obesity, such as diabe tes and cardiovascular diseases. An analysis can be performed from hepatic tissue, muscle, adipose tissue and body fluids such as saliva, urine, serum and plasma. In the obesity treatment, monitoring the effects of physical exercise may reveal which protei ns can modulate this physical activity, thus contributing to a deeper understanding of the physiological mechanisms. Although caloric restriction for weight loss is the main intervention for treatment, other interventions aimed at reducing inflammation in adipose tissue have been studied. Prospective analysis of representative and well - characterized populations to obtain statistical power is a limitation of proteomic studies. Therefore, to increase the relevance of studies in nutriproteomics, in particular studies on obesity, will certainly have to focus even more on application in humans.