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The future of protein biomarker research in type 2 diabetes mellitus

Authors :
Alain J. van Gool
Jolein Gloerich
Lars Verschuren
Cees J. Tack
Stephan J. L. Bakker
Roel Tans
Hans J. C. T. Wessels
Source :
Expert Review of Proteomics, 16, 2, pp. 105-115, Expert Review of Proteomics, 16, 105-115, Expert Review of Proteomics, 2, 16, 105-115
Publication Year :
2018

Abstract

Introduction: The onset of type 2 diabetes mellitus (T2DM) is strongly associated with obesity and subsequent perturbations in immuno-metabolic responses. To understand the complexity of these systemic changes and better monitor the health status of people at risk, validated clinical biomarkers are needed. Omics technologies are increasingly applied to measure the interplay of genes, proteins and metabolites in biological systems, which is imperative in understanding molecular mechanisms of disease and selecting the best possible molecular biomarkers for clinical use. Areas covered: This review describes the complex onset of T2DM, the contribution of obesity and adipose tissue inflammation to the T2DM disease mechanism, and the output of current biomarker strategies. A new biomarker approach is described that combines published and new self-generated data to merge multiple -omes (i.e. genome, proteome, metabolome etc.) toward understanding of mechanism of disease on the individual level and design multiparameter biomarker panels that drive significant impacts on personalized healthcare. Expert commentary: We here propose an approach to use cross-omics analyses to contextualize published biomarker data and better understand molecular mechanisms of health and disease. This will improve the current and future innovation gaps in translation of discovered putative biomarkers to clinically applicable biomarker tests. © 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group.

Details

ISSN :
17448387 and 14789450
Volume :
16
Issue :
2
Database :
OpenAIRE
Journal :
Expert review of proteomics
Accession number :
edsair.doi.dedup.....14b1fb78faf454d1deef6b726f17ac9c