Toggle Main Menu Toggle Search

Open Access padlockePrints

The DEXLIFE study methods: Identifying novel candidate biomarkers that predict progression to type 2 diabetes in high risk individuals

Lookup NU author(s): Professor Mark Walker

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.


Abstract

© 2014 Elsevier Ireland Ltd.The incidence of type 2 diabetes (T2D) is rapidly increasing worldwide and T2D is likely to affect 592 million people in 2035 if the current rate of progression is continued. Today, patients are diagnosed with T2D based on elevated blood glucose, either directly or indirectly (HbA1c). However, the information on disease progression is limited.Therefore, there is a need to identify novel early markers of glucose intolerance that reflect the underlying biology and the overall physiological, metabolic and clinical characteristics of progression towards diabetes.In the DEXLIFE study, several clinical cohorts provide the basis for a series of clinical, physiological and mechanistic investigations in combination with a range of - omic technologies to construct a detailed metabolic profile of high-risk individuals across multiple cohorts.In addition, an exercise and dietary intervention study is conducted, that will assess the impact on both plasma biomarkers and specific functional tissue-based markers.The DEXLIFE study will provide novel diagnostic and predictive biomarkers which may not only effectively detect the progression towards diabetes in high risk individuals but also predict responsiveness to lifestyle interventions known to be effective in the prevention of diabetes.


Publication metadata

Author(s): Andersen GS, Thybo T, Cederberg H, Oresic M, Esteller M, Zorzano A, Carr B, Walker M, Cobb J, Clissmann C, O'Gorman DJ, Nolan JJ, on behalf of the DEXLIFE Consortium

Publication type: Article

Publication status: Published

Journal: Diabetes Research and Clinical Practice

Year: 2014

Volume: 106

Issue: 2

Pages: 383-389

Print publication date: 01/11/2014

Online publication date: 27/07/2014

Acceptance date: 20/07/2014

ISSN (print): 0168-8227

ISSN (electronic): 1872-8227

Publisher: Elsevier Ireland Ltd

URL: https://doi.org/10.1016/j.diabres.2014.07.025

DOI: 10.1016/j.diabres.2014.07.025

PubMed id: 25125339


Altmetrics

Altmetrics provided by Altmetric


Share