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Endocrine Abstracts (2017) 49 S29.2 | DOI: 10.1530/endoabs.49.S29.2

ECE2017 Symposia Novel predictors of diabetes (3 abstracts)

Clinical and genetic indicators for diabetes prediction

Valeriya Lyssenko


Denmark.


Worldwide diabetes epidemic leads to exponential increase in incidence and prevalence of associated co-morbidities and mortality. During the last 10 years we have devoted to investigate how clinical and genetic biomarkers can be used to facilitate prediction of these life-threatening hazards. Accumulating evidence from our large prospective studies indicate that decline in insulin secretion adjusted for the degree of insulin sensitivity is the key factor contributing to overt type 2 diabetes. Furthermore, genetic data indicate that risk alleles in genetic loci for type 2 diabetes influenced changes in pancreatic beta-cell function over time, while having no effect on changes in body mass index. Presently, genetic information has insufficient power to predict common type 2 diabetes. However, our follow-up studies on variants in TCF7L2, MTNR1B, GIPR, GRB10 genes unravelled multiple and pleiotropic mechanisms of genetic loci which significantly contributed to our understanding of pathogenesis of type 2 diabetes including effects on insular-incretin axis (GIP/GLP-1 and glucagon) and hepatic glucose production in the liver. We and others have also reported α-hydroxybutyrate, linoleoyl glycerophosphocholine, and copeptin as novel biomarkers to be associated with increased risk of type 2 diabetes. However, these new biomarkers require a systematic evaluation and validation across different studies and populations before their actual diagnostic and prognostic value is confirmed.

Volume 49

19th European Congress of Endocrinology

Lisbon, Portugal
20 May 2017 - 23 May 2017

European Society of Endocrinology 

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