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Title in Portuguese: Nutriproteomics for obesity research
Author: Brito, Fernando César Rodrigues
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
Keywords: Obesidade
Issue Date: Sep-2017
Publisher: International Journal of Development Research
Citation: BRITO, Fernando César Rodrigues et al. Nutriproteomics for obesity research. International Journal of Development Research, v. 7, n. 9, p.15580-15584, sept. 2017.
Abstract: 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.
metadata.dc.type: Artigo de Periódico
ISSN: 2230-9926
Appears in Collections:DMO - Artigos publicados em revistas científicas

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