18
Views
2
CrossRef citations to date
0
Altmetric
Review

Proteomics as a tool to discover biomarkers for the prediction of diabetic complications

, , &
Pages 277-287 | Published online: 11 Mar 2008
 

Abstract

Background: The incidence of diabetes is increasing rapidly, owing to unhealthy lifestyles. The human suffering and healthcare burden caused by diabetes are mainly a consequence of its microvascular and macrovascular complications. Late diagnosis and lack of strict metabolic control lead to increased morbidity and mortality. A problem is the insidious course of the complications, diagnosed in advanced stages, when end organ damage is already present. Objective: Discovery of early markers of microangiopathy and macroangiopathy may help to identify patients at risk of organ damage. Methods: This review focuses on recent developments in proteomics, performed on body fluids and different tissues implicated in microvascular and macrovascular complications. Results: The results provide important information for the early detection of diabetic complications as well as for better understanding of their pathophysiology.

Acknowledgements

This work was supported by the Catholic University of Leuven (GOA 2004/10 and EF/05/007), the Flemish Research Foundation (FWO G.0084.02, G.0233.04, a clinical research fellowship for Chantal Mathieu), the Belgium Program on Interuniversity Poles of Attraction initiated by the Belgian State (IUAP P5/17 and P6/40), the European Union Project SAVEBETA (contract no. 036903 in the Framework Program 6 of the European Community) and the Center of Excellence SymBioSys (Research Council KU Leuven EF/05/007).

Notes

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access
  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 99.00 Add to cart
* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.