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Proteomic and bioinformatic discovery of biomarkers for diabetic nephropathy
Diabetes is associated with numerous metabolic and vascular risk factors that contribute to a high rate of micro-vascular and macro-vascular disorders leading to mortality and morbidity from diabetic complications. In this case, the major cause of death in overall diabetic patients results from diab...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Leibniz Research Centre for Working Environment and Human Factors
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5962897/ https://www.ncbi.nlm.nih.gov/pubmed/29805343 http://dx.doi.org/10.17179/excli2018-1150 |
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author | Thippakorn, Chadinee Schaduangrat, Nalini Nantasenamat, Chanin |
author_facet | Thippakorn, Chadinee Schaduangrat, Nalini Nantasenamat, Chanin |
author_sort | Thippakorn, Chadinee |
collection | PubMed |
description | Diabetes is associated with numerous metabolic and vascular risk factors that contribute to a high rate of micro-vascular and macro-vascular disorders leading to mortality and morbidity from diabetic complications. In this case, the major cause of death in overall diabetic patients results from diabetic nephropathy (DN) or renal failure. The risk factors and mechanisms that correspond to the development of DN are not fully understood and so far, no specific and sufficient diagnostic biomarkers are currently available other than micro- or macroalbuminuria. Therefore, this review describes current and novel protein biomarkers in the context of DN as well as probable proteins biomarkers associated with pathological processes for the early stage of DN via proteomics data together with bioinformatics. In addition, the mechanisms involved in early development of diabetic vascular disorders and complications resulting from glucose induced oxidative stress will also be explored. |
format | Online Article Text |
id | pubmed-5962897 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Leibniz Research Centre for Working Environment and Human Factors |
record_format | MEDLINE/PubMed |
spelling | pubmed-59628972018-05-27 Proteomic and bioinformatic discovery of biomarkers for diabetic nephropathy Thippakorn, Chadinee Schaduangrat, Nalini Nantasenamat, Chanin EXCLI J Review Article Diabetes is associated with numerous metabolic and vascular risk factors that contribute to a high rate of micro-vascular and macro-vascular disorders leading to mortality and morbidity from diabetic complications. In this case, the major cause of death in overall diabetic patients results from diabetic nephropathy (DN) or renal failure. The risk factors and mechanisms that correspond to the development of DN are not fully understood and so far, no specific and sufficient diagnostic biomarkers are currently available other than micro- or macroalbuminuria. Therefore, this review describes current and novel protein biomarkers in the context of DN as well as probable proteins biomarkers associated with pathological processes for the early stage of DN via proteomics data together with bioinformatics. In addition, the mechanisms involved in early development of diabetic vascular disorders and complications resulting from glucose induced oxidative stress will also be explored. Leibniz Research Centre for Working Environment and Human Factors 2018-03-26 /pmc/articles/PMC5962897/ /pubmed/29805343 http://dx.doi.org/10.17179/excli2018-1150 Text en Copyright © 2018 Thippakorn et al. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (http://creativecommons.org/licenses/by/4.0/) You are free to copy, distribute and transmit the work, provided the original author and source are credited. |
spellingShingle | Review Article Thippakorn, Chadinee Schaduangrat, Nalini Nantasenamat, Chanin Proteomic and bioinformatic discovery of biomarkers for diabetic nephropathy |
title | Proteomic and bioinformatic discovery of biomarkers for diabetic nephropathy |
title_full | Proteomic and bioinformatic discovery of biomarkers for diabetic nephropathy |
title_fullStr | Proteomic and bioinformatic discovery of biomarkers for diabetic nephropathy |
title_full_unstemmed | Proteomic and bioinformatic discovery of biomarkers for diabetic nephropathy |
title_short | Proteomic and bioinformatic discovery of biomarkers for diabetic nephropathy |
title_sort | proteomic and bioinformatic discovery of biomarkers for diabetic nephropathy |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5962897/ https://www.ncbi.nlm.nih.gov/pubmed/29805343 http://dx.doi.org/10.17179/excli2018-1150 |
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