Epigenetic markers to predict conversion from gestational diabetes to type 2 diabetes
Michalczyk, Agnes A., Dunbar, James A., Janus, Edward D., Best, James D., Ebeling, Peter R., Ackland, Michael J., Asproloupos, Dino and Ackland, M. Leigh 2016, Epigenetic markers to predict conversion from gestational diabetes to type 2 diabetes, Journal of clinical endocrinology and metabolism, vol. 101, no. 6, pp. 2396-2404, doi: 10.1210/jc.2015-4206.
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Epigenetic markers to predict conversion from gestational diabetes to type 2 diabetes
CONTEXT: Lifestyle factors mediate epigenetic changes that can cause chronic diseases. Although animal and laboratory studies link epigenetic changes to diabetes, epigenetic information in women with gestational diabetes (GDM) and type 2 diabetes is lacking. OBJECTIVE: To measure epigenetic markers across pregnancy and early postpartum and identify markers that could be used as predictors for conversion from GDM to type 2 diabetes. DESIGN: Global histone H3 dimethylation was measured at three time points: 30 weeks gestation, 8-10 weeks postpartum and 20 weeks postpartum, in white blood cells from four groups of women with and without diabetes. SETTING AND PARTICIPANTS: A total of 39 participants (six to nine in each group) were recruited including: non-diabetic women; women with GDM who developed postpartum type 2 diabetes; women with GDM without postpartum type 2 diabetes; and women with type 2 diabetes. MAIN OUTCOME MEASURE: Percentages of dimethylation of H3 histones relative to total H3 histone methylation were compared between diabetic/non-diabetic groups using appropriate comparative statistics. RESULTS: H3K27 dimethylation was 50-60% lower at 8-10 and 20 weeks postpartum in women with GDM who developed type 2 diabetes, compared with non-diabetic women. H3K4 dimethylation was 75% lower at 8-10 weeks postpartum in women with GDM who subsequently developed type 2 diabetes compared with women who had GDM who did not. CONCLUSIONS: The percentage of dimethylation of histones H3K27 and H3K4 varied with diabetic state and has the potential as a predictive tool to identify women who will convert from GDM to type 2 diabetes.
119999 Medical and Health Sciences not elsewhere classified 110399 Clinical Sciences not elsewhere classified 1103 Clinical Sciences 1114 Paediatrics And Reproductive Medicine
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920499 Public Health (excl. Specific Population Health) not elsewhere classified
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