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Proteomic analysis to identify candidate biomarkers associated with type 1 diabetes

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 i...

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Autores principales: do Nascimento de Oliveira, Valzimeire, Lima-Neto, Abelardo Barbosa Moreira, van Tilburg, Maurício Fraga, de Oliveira Monteiro-Moreira, Ana Cristina, Duarte Pinto Lobo, Marina, Rondina, Davide, Fernandes, Virgínia Oliveira, Montenegro, Ana Paula Dias Rangel, Montenegro, Renan Magalhães, Guedes, Maria Izabel Florindo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6005324/
https://www.ncbi.nlm.nih.gov/pubmed/29942143
http://dx.doi.org/10.2147/DMSO.S162008
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author do Nascimento de Oliveira, Valzimeire
Lima-Neto, Abelardo Barbosa Moreira
van Tilburg, Maurício Fraga
de Oliveira Monteiro-Moreira, Ana Cristina
Duarte Pinto Lobo, Marina
Rondina, Davide
Fernandes, Virgínia Oliveira
Montenegro, Ana Paula Dias Rangel
Montenegro, Renan Magalhães
Guedes, Maria Izabel Florindo
author_facet do Nascimento de Oliveira, Valzimeire
Lima-Neto, Abelardo Barbosa Moreira
van Tilburg, Maurício Fraga
de Oliveira Monteiro-Moreira, Ana Cristina
Duarte Pinto Lobo, Marina
Rondina, Davide
Fernandes, Virgínia Oliveira
Montenegro, Ana Paula Dias Rangel
Montenegro, Renan Magalhães
Guedes, Maria Izabel Florindo
author_sort do Nascimento de Oliveira, Valzimeire
collection PubMed
description 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.
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spelling pubmed-60053242018-06-25 Proteomic analysis to identify candidate biomarkers associated with type 1 diabetes do Nascimento de Oliveira, Valzimeire Lima-Neto, Abelardo Barbosa Moreira van Tilburg, Maurício Fraga de Oliveira Monteiro-Moreira, Ana Cristina Duarte Pinto Lobo, Marina Rondina, Davide Fernandes, Virgínia Oliveira Montenegro, Ana Paula Dias Rangel Montenegro, Renan Magalhães Guedes, Maria Izabel Florindo Diabetes Metab Syndr Obes Original Research 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. Dove Medical Press 2018-06-13 /pmc/articles/PMC6005324/ /pubmed/29942143 http://dx.doi.org/10.2147/DMSO.S162008 Text en © 2018 do Nascimento de Oliveira et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Original Research
do Nascimento de Oliveira, Valzimeire
Lima-Neto, Abelardo Barbosa Moreira
van Tilburg, Maurício Fraga
de Oliveira Monteiro-Moreira, Ana Cristina
Duarte Pinto Lobo, Marina
Rondina, Davide
Fernandes, Virgínia Oliveira
Montenegro, Ana Paula Dias Rangel
Montenegro, Renan Magalhães
Guedes, Maria Izabel Florindo
Proteomic analysis to identify candidate biomarkers associated with type 1 diabetes
title Proteomic analysis to identify candidate biomarkers associated with type 1 diabetes
title_full Proteomic analysis to identify candidate biomarkers associated with type 1 diabetes
title_fullStr Proteomic analysis to identify candidate biomarkers associated with type 1 diabetes
title_full_unstemmed Proteomic analysis to identify candidate biomarkers associated with type 1 diabetes
title_short Proteomic analysis to identify candidate biomarkers associated with type 1 diabetes
title_sort proteomic analysis to identify candidate biomarkers associated with type 1 diabetes
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6005324/
https://www.ncbi.nlm.nih.gov/pubmed/29942143
http://dx.doi.org/10.2147/DMSO.S162008
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