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. Attached Files Name Description MIMEType Size Downloads Title Epigenetic markers to predict conversion from gestational diabetes to type 2 diabetes Author(s) Michalczyk, Agnes A. orcid.org/0000-0001-5716-0783 Dunbar, James A. orcid.org/0000-0003-0866-4365 Janus, Edward D. Best, James D. Ebeling, Peter R. Ackland, Michael J. Asproloupos, Dino Ackland, M. Leigh orcid.org/0000-0002-7474-6556 Journal name Journal of clinical endocrinology and metabolism Volume number 101 Issue number 6 Start page 2396 End page 2404 Total pages 9 Publisher Endocrine Society Place of publication Washington D.C., United States Publication date 2016 ISSN 1945-7197 1945-7197 Keyword(s) diabetes gestational diabetes hormone health epigenetic changes pregnancy Summary 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. Language eng DOI 10.1210/jc.2015-4206 Field of Research 119999 Medical and Health Sciences not elsewhere classified 110399 Clinical Sciences not elsewhere classified 1103 Clinical Sciences 1114 Paediatrics And Reproductive Medicine Socio Economic Objective 920499 Public Health (excl. Specific Population Health) not elsewhere classified HERDC Research category C1 Refereed article in a scholarly journal ERA Research output type C Journal article Copyright notice ©2016, Endocrine Society Persistent URL http://hdl.handle.net/10536/DRO/DU:30082732 Document type: Journal Article Collections: Faculty of Health Faculty of Science, Engineering and Built Environment School of Life and Environmental Sciences Centre for Cellular and Molecular Biology Population Health Related Links Link Description Connect to published version Go to link with your DU access privileges   Connect to Elements publication management system Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Mon, 11 Apr 2016, 09:27:05 EST Tue, 12 Apr 2016, 05:00:36 EST Sat, 07 May 2016, 06:08:37 EST Wed, 17 Aug 2016, 14:09:09 EST Wed, 17 Aug 2016, 14:18:58 EST Wed, 17 Aug 2016, 14:20:33 EST Wed, 17 Aug 2016, 15:31:55 EST Wed, 17 Aug 2016, 15:33:19 EST Thu, 18 Aug 2016, 13:25:58 EST Wed, 24 Aug 2016, 11:26:38 EST Wed, 24 Aug 2016, 11:35:10 EST Wed, 24 Aug 2016, 13:33:56 EST Thu, 25 Aug 2016, 14:09:31 EST Thu, 25 Aug 2016, 14:10:18 EST Mon, 29 Aug 2016, 12:44:30 EST Fri, 16 Sep 2016, 11:33:49 EST Fri, 16 Sep 2016, 11:34:26 EST Filtered Full Citation counts:   Cited 1 times in TR Web of Science Cited 2 times in Scopus Search Google Scholar Access Statistics: 125 Abstract Views, 8 File Downloads  -  Detailed Statistics Created: Mon, 11 Apr 2016, 09:27:05 EST

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