Proteomics approach to identify serum biomarkers associated with the progression of diabetes in Korean patients with abdominal obesity
Autoři:
Sang Woo Kim aff001; Jung-Won Choi aff001; Jong Won Yun aff003; In-Sung Chung aff004; Ho Chan Cho aff005; Seung-Eun Song aff006; Seung-Soon Im aff006; Dae-Kyu Song aff006
Působiště autorů:
Institute for Bio-Medical Convergence, College of Medicine, Catholic Kwandong University, Gangneung-si, Gangwon-do, South Korea
aff001; Catholic Kwandong University, International St. Mary’s Hospital, Incheon Metropolitan City, South Korea
aff002; Department of Biotechnology, Daegu University, Kyungsan, Kyungbuk, South Korea
aff003; Division of Occupational and Environmental Medicine and Department of Preventive Medicine, Keimyung, University School of Medicine, Daegu, South Korea
aff004; Department of Internal Medicine, Keimyung, University School of Medicine, Daegu, South Korea
aff005; Department of Physiology and Obesity-mediated Disease Research Center, Keimyung, University School of Medicine, Daegu, South Korea
aff006
Vyšlo v časopise:
PLoS ONE 14(9)
Kategorie:
Research Article
doi:
https://doi.org/10.1371/journal.pone.0222032
Souhrn
Type 2 diabetes is a metabolic disease with a group of metabolic derangements and inflammatory reactants in the serum. Despite the substantial public health implications, markers of diabetes progression with abdominal obesity are still needed to facilitate early detection and treatment. In this study, we performed a proteomic approach to identify differential target proteins underlying diabetes progression in patients with abdominal obesity. Proteomic differences were investigated in the serum of controls and patients with prediabetes or diabetes with or without abdominal obesity by 2-DE combined with MALDI-TOF-MS. Proteomics data were validated by western blot analyses and major protein-protein interactions were assessed using a network analysis with String database. Among 245 matched protein spots, 36 exhibited marked differences in normal patients with abdominal obesity, prediabetes, and diabetes compared to levels in normal patients without abdominal obesity. Seven (Alpha-1-antichymotrypsin, Alpha-1-antitrypsin, Apolipoprotein A-I, haptoglobin, retinol-binding protein 4, transthyretin, and zinc-alpha2-glycoprotein) of these spots exhibited significant differences between normal and prediabetes/diabetes patients. After a network analysis, functional annotation using Gene Ontology indicated that most of the identified proteins were involved in lipid transport, lipid localization, and the regulation of serum lipoprotein particle levels. Our results indicated that variation in the levels of these identified protein biomarkers has been reported in normal, prediabetes and diabetic Assessment of the levels of these biomarkers may contribute to the development of biomarkers for not only early diagnosis but also in prognosis of diabetes mellitus type 2.
Klíčová slova:
Biology and life sciences – Physiology – Physiological parameters – Obesity – Biochemistry – Proteins – Serum proteins – Biomarkers – Developmental biology – Molecular development – Molecular biology – Molecular biology techniques – Molecular biology assays and analysis techniques – Gene expression and vector techniques – Protein expression – Medicine and health sciences – Body weight – Immune physiology – Endocrinology – Endocrine disorders – Metabolic disorders – Immunology – Immune response – Inflammation – Immune system – Innate immune system – Cytokines – Diagnostic medicine – Signs and symptoms – Pathology and laboratory medicine – Research and analysis methods
Zdroje
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