Proteomic analysis to identify candidate biomarkers associated with type 1 diabetes

Valzimeire do Nascimento de Oliveira1 Collegiate Nutrition Science, Laboratory of Biotechnology and Molecular Biology, Ceará State University, Fortaleza, Ceará, Brazil;2 Collegiate Biotechnology, Northeast Network of Biotechnology, Laboratory of Biotechnology and Molecular Biology, Ceará State University, Fortaleza, Ceará, BrazilCorrespondence[email protected]

Abelardo Barbosa Moreira Lima-Neto1 Collegiate Nutrition Science, Laboratory of Biotechnology and Molecular Biology, Ceará State University, Fortaleza, Ceará, Brazil

Maurício Fraga van Tilburg2 Collegiate Biotechnology, Northeast Network of Biotechnology, Laboratory of Biotechnology and Molecular Biology, Ceará State University, Fortaleza, Ceará, Brazil

Ana Cristina de Oliveira Monteiro-Moreira3 Center of Experimental Biology, University of Fortaleza, Fortaleza, Ceará, Brazil

Marina Duarte Pinto Lobo3 Center of Experimental Biology, University of Fortaleza, Fortaleza, Ceará, Brazil

Davide Rondina4 School of Veterinary Science, Ceará State of University, Fortaleza, Ceará, Brazil

Virgínia Oliveira Fernandes5 Faculty of Medicine, Federal University of Ceará and University Hospitals, Fortaleza, Ceará, Brazil

Ana Paula Dias Rangel Montenegro5 Faculty of Medicine, Federal University of Ceará and University Hospitals, Fortaleza, Ceará, Brazil

Renan Magalhães Montenegro Júnior5 Faculty of Medicine, Federal University of Ceará and University Hospitals, Fortaleza, Ceará, Brazil

Maria Izabel Florindo Guedes1 Collegiate Nutrition Science, Laboratory of Biotechnology and Molecular Biology, Ceará State University, Fortaleza, Ceará, Brazil;2 Collegiate Biotechnology, Northeast Network of Biotechnology, Laboratory of Biotechnology and Molecular Biology, Ceará State University, Fortaleza, Ceará, Brazil

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Figure 1 Diagram of the study design used for research of proteomic biomarker in the serum of individuals.

Abbreviations: LC–MSE, liquid chromatography––data-independent label-free mass spectrometry; IgG, immunoglobulin G.

Table 1 Demographic, anthropometric, and clinical characteristics of participants in study

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Table 2 Characterization of differentially expressed proteins in serum of DM1 patients compared with HCs as identified by LC–MS^E

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Figure 2 Percentage of serum proteins identified from albumin and immunoglobulin G depleted serum by LC–MS^E for patients with type 1 diabetes and healthy controls based on their molecular function, biological process, and cellular components.

Abbreviations: ER, endoplasmic reticulum; LC–MS^E, liquid chromatography––data-independent label-free mass spectrometry.

Table S1 List of serum proteins between type 1 diabetes patients and healthy controls as identified by LC–MS^E analysis

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Proteomic analysis to identify candidate biomarkers associated with type 1 diabetes

Table 1 Demographic, anthropometric, and clinical characteristics of participants in study

Table 2 Characterization of differentially expressed proteins in serum of DM1 patients compared with HCs as identified by LC–MS^E

Table S1 List of serum proteins between type 1 diabetes patients and healthy controls as identified by LC–MS^E analysis

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Proteomic analysis to identify candidate biomarkers associated with type 1 diabetes

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Table 1 Demographic, anthropometric, and clinical characteristics of participants in study

Table 2 Characterization of differentially expressed proteins in serum of DM1 patients compared with HCs as identified by LC–MSE

Table S1 List of serum proteins between type 1 diabetes patients and healthy controls as identified by LC–MSE analysis

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Table 2 Characterization of differentially expressed proteins in serum of DM1 patients compared with HCs as identified by LC–MS^E

Table S1 List of serum proteins between type 1 diabetes patients and healthy controls as identified by LC–MS^E analysis