The Human Diabetes Proteome Project

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  • Published: May 22, 2015
  • Author: Steve Down
  • Channels: Proteomics & Genomics / Sample Preparation / Gas Chromatography / Laboratory Informatics / HPLC / Ion Chromatography / Electrophoresis / Detectors / X-ray Spectrometry / NMR Knowledge Base / Atomic / Base Peak / Proteomics / Infrared Spectroscopy / MRI Spectroscopy / UV/Vis Spectroscopy / Raman / Chemometrics & Informatics

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The latest developments in the Human Diabetes Proteome Project have been detailed in the 2014 update, which reports on recent scientific meetings as well as the list of diabetes-associated proteins.

The project aims to centralise information on type 1 and type 2 diabetes to help gain a fuller understanding of the disease and identify proteins which might act as biomarkers for diagnosing and monitoring the disease. Recent progress has been discussed in Translational Proteomics.

As well as reporting on the outcomes of several HDPP workshops and the latest HUPO meeting in 2014, the make up protein lists was described. An initial list of 1398 proteins which have some link to diabetes was published in 2013 then narrowed down to 100 candidates for biomarker development. This has been concentrated further to 25 top priority proteins which offer the best hope for plasma diagnostics.

The islet proteome database, of key importance in diabetes and related conditions, is also under construction, and contains 34 new proteins which have only been identified at the transcript level so far.

These two data sets are supported by a list of known protein post-translational modifications linked to diabetes, especially glycation, and the known protective effects of aspirin have led to the discovery of uniquely acetylated proteins in plasma, platelets and red blood cells.

This is an ongoing collaborative project involving a large number of organisations around the world. It is making steady progress but, like many efforts to find biomarkers, it could take some time to come to fruition with active biomarkers being used in clinical practice.

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