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Personalized Medicine and Type 2 Diabetes: Lesson from Epigenetics

, , , , , & show all
Pages 229-238 | Published online: 09 May 2014
 

Abstract

Similarly to genetic polymorphisms, epigenetic modifications may alter transcriptional activity and contribute to different traits of the Type 2 diabetes phenotype. The establishment of these epigenetic marks may precede diabetes onset and predict the disease. Current evidence now indicates that epigenetic differences represent markers of diabetes risk. Studies on epigenome plasticity revealed that cytokines and other metabolites, by affecting DNA methylation, may acutely reprogram gene expression and contribute to the Type 2 diabetes phenotype even in the adult life. The available evidence further indicates that epigenetic marks across the genome are subject to dynamic variations in response to environmental cues. Finally, different genes responsible for the interindividual variability in antidiabetic drug response are subjected to epigenetic regulation. Determining how specific epigenetic profiles determine diabetes is a challenging task. In the near future, the identification of epigenetic marks predictive of diabetes risk or response to treatment may offer unanticipated opportunities to personalize Type 2 diabetes management.

Financial & competing interests disclosure

This work has been supprted, in part, by the European Foundation for the Study of Diabetes (EFSD), the Associazione Italiana per la Ricerca sul Cancro (AIRC) and by the Ministero dell’Università e della Ricerca Scientifica (grants PRIN and FIRB-MERIT, and PON 01_02460). This work was also supported by the P.O.R. Campania FSE 2007–2013, Project CREME. The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.

No writing assistance was utilized in the production of this manuscript.

Additional information

Funding

This work has been supprted, in part, by the European Foundation for the Study of Diabetes (EFSD), the Associazione Italiana per la Ricerca sul Cancro (AIRC) and by the Ministero dell’Università e della Ricerca Scientifica (grants PRIN and FIRB-MERIT, and PON 01_02460). This work was also supported by the P.O.R. Campania FSE 2007–2013, Project CREME. The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed. No writing assistance was utilized in the production of this manuscript.

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