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Proteomics approach to identify serum biomarkers associated with the progression of diabetes in Korean patients with abdominal obesity
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 stud...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6736247/ https://www.ncbi.nlm.nih.gov/pubmed/31504048 http://dx.doi.org/10.1371/journal.pone.0222032 |
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author | Kim, Sang Woo Choi, Jung-Won Yun, Jong Won Chung, In-Sung Cho, Ho Chan Song, Seung-Eun Im, Seung-Soon Song, Dae-Kyu |
author_facet | Kim, Sang Woo Choi, Jung-Won Yun, Jong Won Chung, In-Sung Cho, Ho Chan Song, Seung-Eun Im, Seung-Soon Song, Dae-Kyu |
author_sort | Kim, Sang Woo |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6736247 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-67362472019-09-20 Proteomics approach to identify serum biomarkers associated with the progression of diabetes in Korean patients with abdominal obesity Kim, Sang Woo Choi, Jung-Won Yun, Jong Won Chung, In-Sung Cho, Ho Chan Song, Seung-Eun Im, Seung-Soon Song, Dae-Kyu PLoS One Research Article 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. Public Library of Science 2019-09-10 /pmc/articles/PMC6736247/ /pubmed/31504048 http://dx.doi.org/10.1371/journal.pone.0222032 Text en © 2019 Kim et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Kim, Sang Woo Choi, Jung-Won Yun, Jong Won Chung, In-Sung Cho, Ho Chan Song, Seung-Eun Im, Seung-Soon Song, Dae-Kyu Proteomics approach to identify serum biomarkers associated with the progression of diabetes in Korean patients with abdominal obesity |
title | Proteomics approach to identify serum biomarkers associated with the progression of diabetes in Korean patients with abdominal obesity |
title_full | Proteomics approach to identify serum biomarkers associated with the progression of diabetes in Korean patients with abdominal obesity |
title_fullStr | Proteomics approach to identify serum biomarkers associated with the progression of diabetes in Korean patients with abdominal obesity |
title_full_unstemmed | Proteomics approach to identify serum biomarkers associated with the progression of diabetes in Korean patients with abdominal obesity |
title_short | Proteomics approach to identify serum biomarkers associated with the progression of diabetes in Korean patients with abdominal obesity |
title_sort | proteomics approach to identify serum biomarkers associated with the progression of diabetes in korean patients with abdominal obesity |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6736247/ https://www.ncbi.nlm.nih.gov/pubmed/31504048 http://dx.doi.org/10.1371/journal.pone.0222032 |
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