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Saliva Proteomics Analysis Offers Insights on Type 1 Diabetes Pathology in a Pediatric Population
The composition of the salivary proteome is affected by pathological conditions. We analyzed by high resolution mass spectrometry approaches saliva samples collected from children and adolescents with type 1 diabetes and healthy controls. The list of more than 2000 high confidence protein identifica...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5932525/ https://www.ncbi.nlm.nih.gov/pubmed/29755368 http://dx.doi.org/10.3389/fphys.2018.00444 |
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author | Pappa, Eftychia Vastardis, Heleni Mermelekas, George Gerasimidi-Vazeou, Andriani Zoidakis, Jerome Vougas, Konstantinos |
author_facet | Pappa, Eftychia Vastardis, Heleni Mermelekas, George Gerasimidi-Vazeou, Andriani Zoidakis, Jerome Vougas, Konstantinos |
author_sort | Pappa, Eftychia |
collection | PubMed |
description | The composition of the salivary proteome is affected by pathological conditions. We analyzed by high resolution mass spectrometry approaches saliva samples collected from children and adolescents with type 1 diabetes and healthy controls. The list of more than 2000 high confidence protein identifications constitutes a comprehensive characterization of the salivary proteome. Patients with good glycemic regulation and healthy individuals have comparable proteomic profiles. In contrast, a significant number of differentially expressed proteins were identified in the saliva of patients with poor glycemic regulation compared to patients with good glycemic control and healthy children. These proteins are involved in biological processes relevant to diabetic pathology such as endothelial damage and inflammation. Moreover, a putative preventive therapeutic approach was identified based on bioinformatic analysis of the deregulated salivary proteins. Thus, thorough characterization of saliva proteins in diabetic pediatric patients established a connection between molecular changes and disease pathology. This proteomic and bioinformatic approach highlights the potential of salivary diagnostics in diabetes pathology and opens the way for preventive treatment of the disease. |
format | Online Article Text |
id | pubmed-5932525 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-59325252018-05-11 Saliva Proteomics Analysis Offers Insights on Type 1 Diabetes Pathology in a Pediatric Population Pappa, Eftychia Vastardis, Heleni Mermelekas, George Gerasimidi-Vazeou, Andriani Zoidakis, Jerome Vougas, Konstantinos Front Physiol Physiology The composition of the salivary proteome is affected by pathological conditions. We analyzed by high resolution mass spectrometry approaches saliva samples collected from children and adolescents with type 1 diabetes and healthy controls. The list of more than 2000 high confidence protein identifications constitutes a comprehensive characterization of the salivary proteome. Patients with good glycemic regulation and healthy individuals have comparable proteomic profiles. In contrast, a significant number of differentially expressed proteins were identified in the saliva of patients with poor glycemic regulation compared to patients with good glycemic control and healthy children. These proteins are involved in biological processes relevant to diabetic pathology such as endothelial damage and inflammation. Moreover, a putative preventive therapeutic approach was identified based on bioinformatic analysis of the deregulated salivary proteins. Thus, thorough characterization of saliva proteins in diabetic pediatric patients established a connection between molecular changes and disease pathology. This proteomic and bioinformatic approach highlights the potential of salivary diagnostics in diabetes pathology and opens the way for preventive treatment of the disease. Frontiers Media S.A. 2018-04-26 /pmc/articles/PMC5932525/ /pubmed/29755368 http://dx.doi.org/10.3389/fphys.2018.00444 Text en Copyright © 2018 Pappa, Vastardis, Mermelekas, Gerasimidi-Vazeou, Zoidakis and Vougas. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Physiology Pappa, Eftychia Vastardis, Heleni Mermelekas, George Gerasimidi-Vazeou, Andriani Zoidakis, Jerome Vougas, Konstantinos Saliva Proteomics Analysis Offers Insights on Type 1 Diabetes Pathology in a Pediatric Population |
title | Saliva Proteomics Analysis Offers Insights on Type 1 Diabetes Pathology in a Pediatric Population |
title_full | Saliva Proteomics Analysis Offers Insights on Type 1 Diabetes Pathology in a Pediatric Population |
title_fullStr | Saliva Proteomics Analysis Offers Insights on Type 1 Diabetes Pathology in a Pediatric Population |
title_full_unstemmed | Saliva Proteomics Analysis Offers Insights on Type 1 Diabetes Pathology in a Pediatric Population |
title_short | Saliva Proteomics Analysis Offers Insights on Type 1 Diabetes Pathology in a Pediatric Population |
title_sort | saliva proteomics analysis offers insights on type 1 diabetes pathology in a pediatric population |
topic | Physiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5932525/ https://www.ncbi.nlm.nih.gov/pubmed/29755368 http://dx.doi.org/10.3389/fphys.2018.00444 |
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