Proteomic and bioinformatic discovery of biomarkers for diabetic nephropathy

Authors

  • Chadinee Thippakorn Center for Research and Innovation, Faculty of Medical Technology, Mahidol University, Bangkok 10700, Thailand
  • Nalini Schaduangrat Center of Data Mining and Biomedical Informatics, Faculty of Medical Technology, Mahidol University, Bangkok 10700, Thailand
  • Chanin Nantasenamat Center of Data Mining and Biomedical Informatics, Faculty of Medical Technology, Mahidol University, Bangkok 10700, Thailand

DOI:

https://doi.org/10.17179/excli2018-1150

Keywords:

diabetes, diabetic nephropathy, early biomarkers, proteomics, bioinformatics

Abstract

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.

Published

2018-03-26

How to Cite

Thippakorn, C., Schaduangrat, N., & Nantasenamat, C. (2018). Proteomic and bioinformatic discovery of biomarkers for diabetic nephropathy. EXCLI Journal, 17, 312–330. https://doi.org/10.17179/excli2018-1150

Issue

Section

Review articles

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