Use este identificador para citar ou linkar para este item: http://repositorio.ufc.br/handle/riufc/34334
Tipo: Artigo de Periódico
Título: Proteomic analysis to identify candidate biomarkers associated with type 1 diabetes
Autor(es): Oliveira, Valzimeire do Nascimento de
Lima-Neto, Abelardo Barbosa Moreira
Tilburg, Maurício Fraga van
Monteiro-Moreira, Ana Cristina de Oliveira
Lobo, Marina Duarte Pinto
Rondina, Davide
Fernandes, Virgínia Oliveira
Montenegro, Ana Paula Dias Rangel
Montenegro Júnior, Renan Magalhães
Guedes, Maria Izabel Florindo
Palavras-chave: Proteoma;Proteome;Mass Spectrometry;Espectrometria de Massas
Data do documento: Jun-2018
Instituição/Editor/Publicador: Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy
Citação: OLIVEIRA, Valzimeire do Nascimento de et al. Proteomic analysis to identify candidate biomarkers associated with type 1 diabetes. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy, v. 11, p. 289–301, jun. 2018.
Abstract: Purpose: Type 1 diabetes mellitus (DM1) is one of the most common chronic diseases observed during childhood. The incidence of DM1 is increasing worldwide, and there is currently no way to prevent or delay the onset or to cure the disease. Most diseases, including diabetes, stem from abnormalities in the functioning of proteins, and some studies have reported the expression of protein variation to be involved in the development of DM1. Thus, the aim of this study was to investigate the differential expression of serum proteins in patients with DM1. Materials and methods: Serum of patients with DM1 (n=30) and healthy controls (n=30) was collected. A proteomic approach was used with depletion of albumin and immunoglobulin G chromatography on serum samples followed by data-independent, label-free mass spectrometric analysis. Results: A total of eight serum proteins were identified as being differentially expressed and involved in the immune system, lipid metabolism, and pathways of coagulation. DM1 was associated with the upregulation of six proteins: alpha-2-macroglobulin, apolipoprotein A-II, β2 glycoprotein I, Ig alpha-2 chain C region, alpha-1-microglobulin, and prothrombin. A total of two proteins were downregulated, including pregnancy zone protein and complement C4. Conclusion: To the best of our knowledge, these findings show differential expression of proteins revealing new proteins that may be involved in the development and progression of diabetes.
URI: http://www.repositorio.ufc.br/handle/riufc/34334
ISSN: 1178-7007
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