Proteomic analysis to identify candidate biomarkers associated with type 1 diabetes

Valzimeire do Nascimento de Oliveira,1,2 Abelardo Barbosa Moreira Lima-Neto,1 Maurício Fraga van Tilburg,2 Ana Cristina de Oliveira Monteiro-Moreira,3 Marina Duarte Pinto Lobo,3 Davide Rondina,4 Virgínia Oliveira Fernandes,5 Ana Paula Dias Rangel Montenegro,5 Renan Magalh&a...

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Autores principales:	do Nascimento de Oliveira V, Lima-Neto, ABM, van Tilburg MF, de Oliveira Monteiro-Moreira AC, Duarte Pinto Lobo M, Rondina D, Fernandes VO, Montenegro AP, Montenegro RM Jr, Guedes MIF
Formato:	article
Lenguaje:	EN
Publicado:	Dove Medical Press 2018
Materias:	Proteome - Mass spectrometry - Precision Medicine - Diagnosis Specialties of internal medicine RC581-951
Acceso en línea:	https://doaj.org/article/7d3cea80c5554c1cb45b1360dfb63f54
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spelling	oai:doaj.org-article:7d3cea80c5554c1cb45b1360dfb63f542021-12-02T01:56:22ZProteomic analysis to identify candidate biomarkers associated with type 1 diabetes1178-7007https://doaj.org/article/7d3cea80c5554c1cb45b1360dfb63f542018-06-01T00:00:00Zhttps://www.dovepress.com/proteomic-analysis-to-identify-candidate-biomarkers-associated-with-ty-peer-reviewed-article-DMSOhttps://doaj.org/toc/1178-7007Valzimeire do Nascimento de Oliveira,1,2 Abelardo Barbosa Moreira Lima-Neto,1 Maurício Fraga van Tilburg,2 Ana Cristina de Oliveira Monteiro-Moreira,3 Marina Duarte Pinto Lobo,3 Davide Rondina,4 Virgínia Oliveira Fernandes,5 Ana Paula Dias Rangel Montenegro,5 Renan Magalhães Montenegro Júnior,5 Maria Izabel Florindo Guedes1,2 1Collegiate Nutrition Science, Laboratory of Biotechnology and Molecular Biology, Ceará State University, Fortaleza, Ceará, Brazil; 2Collegiate Biotechnology, Northeast Network of Biotechnology, Laboratory of Biotechnology and Molecular Biology, Ceará State University, Fortaleza, Ceará, Brazil; 3Center of Experimental Biology, University of Fortaleza, Fortaleza, Ceará, Brazil; 4School of Veterinary Science, Ceará State of University, Fortaleza, Ceará, Brazil; 5Faculty of Medicine, Federal University of Ceará and University Hospitals, Fortaleza, Ceará, Brazil 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. Keywords: proteome, mass spectrometry, precision medicine, diagnosisdo Nascimento de Oliveira VLima-Neto, ABMvan Tilburg MFde Oliveira Monteiro-Moreira ACDuarte Pinto Lobo MRondina DFernandes VOMontenegro APMontenegro RM JrGuedes MIFDove Medical PressarticleProteome - Mass spectrometry - Precision Medicine - DiagnosisSpecialties of internal medicineRC581-951ENDiabetes, Metabolic Syndrome and Obesity: Targets and Therapy, Vol Volume 11, Pp 289-301 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Proteome - Mass spectrometry - Precision Medicine - Diagnosis Specialties of internal medicine RC581-951
spellingShingle	Proteome - Mass spectrometry - Precision Medicine - Diagnosis Specialties of internal medicine RC581-951 do Nascimento de Oliveira V Lima-Neto, ABM van Tilburg MF de Oliveira Monteiro-Moreira AC Duarte Pinto Lobo M Rondina D Fernandes VO Montenegro AP Montenegro RM Jr Guedes MIF Proteomic analysis to identify candidate biomarkers associated with type 1 diabetes
description	Valzimeire do Nascimento de Oliveira,1,2 Abelardo Barbosa Moreira Lima-Neto,1 Maurício Fraga van Tilburg,2 Ana Cristina de Oliveira Monteiro-Moreira,3 Marina Duarte Pinto Lobo,3 Davide Rondina,4 Virgínia Oliveira Fernandes,5 Ana Paula Dias Rangel Montenegro,5 Renan Magalhães Montenegro Júnior,5 Maria Izabel Florindo Guedes1,2 1Collegiate Nutrition Science, Laboratory of Biotechnology and Molecular Biology, Ceará State University, Fortaleza, Ceará, Brazil; 2Collegiate Biotechnology, Northeast Network of Biotechnology, Laboratory of Biotechnology and Molecular Biology, Ceará State University, Fortaleza, Ceará, Brazil; 3Center of Experimental Biology, University of Fortaleza, Fortaleza, Ceará, Brazil; 4School of Veterinary Science, Ceará State of University, Fortaleza, Ceará, Brazil; 5Faculty of Medicine, Federal University of Ceará and University Hospitals, Fortaleza, Ceará, Brazil 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. Keywords: proteome, mass spectrometry, precision medicine, diagnosis
format	article
author	do Nascimento de Oliveira V Lima-Neto, ABM van Tilburg MF de Oliveira Monteiro-Moreira AC Duarte Pinto Lobo M Rondina D Fernandes VO Montenegro AP Montenegro RM Jr Guedes MIF
author_facet	do Nascimento de Oliveira V Lima-Neto, ABM van Tilburg MF de Oliveira Monteiro-Moreira AC Duarte Pinto Lobo M Rondina D Fernandes VO Montenegro AP Montenegro RM Jr Guedes MIF
author_sort	do Nascimento de Oliveira V
title	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_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_sort	proteomic analysis to identify candidate biomarkers associated with type 1 diabetes
publisher	Dove Medical Press
publishDate	2018
url	https://doaj.org/article/7d3cea80c5554c1cb45b1360dfb63f54
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Proteomic analysis to identify candidate biomarkers associated with type 1 diabetes

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