A Predictive Metabolic Signature for the Transition From Gestational Diabetes Mellitus to Type 2 Diabetes

Gestational diabetes mellitus (GDM) affects 3–14% of pregnancies, with 20–50% of these women progressing to type 2 diabetes (T2D) within 5 years. This study sought to develop a metabolomics signature to predict the transition from GDM to T2D. A prospective cohort of 1,035 women with GDM pregnancy we...

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Published inDiabetes (New York, N.Y.) Vol. 65; no. 9; pp. 2529 - 2539
Main Authors Allalou, Amina, Nalla, Amarnadh, Prentice, Kacey J., Liu, Ying, Zhang, Ming, Dai, Feihan F., Ning, Xian, Osborne, Lucy R., Cox, Brian J., Gunderson, Erica P., Wheeler, Michael B.
Format Journal Article
LanguageEnglish
Published United States American Diabetes Association 01.09.2016
Subjects
Online AccessGet full text
ISSN0012-1797
1939-327X
1939-327X
DOI10.2337/db15-1720

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Abstract Gestational diabetes mellitus (GDM) affects 3–14% of pregnancies, with 20–50% of these women progressing to type 2 diabetes (T2D) within 5 years. This study sought to develop a metabolomics signature to predict the transition from GDM to T2D. A prospective cohort of 1,035 women with GDM pregnancy were enrolled at 6–9 weeks postpartum (baseline) and were screened for T2D annually for 2 years. Of 1,010 women without T2D at baseline, 113 progressed to T2D within 2 years. T2D developed in another 17 women between 2 and 4 years. A nested case-control design used 122 incident case patients matched to non–case patients by age, prepregnancy BMI, and race/ethnicity. We conducted metabolomics with baseline fasting plasma and identified 21 metabolites that significantly differed by incident T2D status. Machine learning optimization resulted in a decision tree modeling that predicted T2D incidence with a discriminative power of 83.0% in the training set and 76.9% in an independent testing set, which is far superior to measuring fasting plasma glucose levels alone. The American Diabetes Association recommends T2D screening in the early postpartum period via oral glucose tolerance testing after GDM, which is a time-consuming and inconvenient procedure. Our metabolomics signature predicted T2D incidence from a single fasting blood sample. This study represents the first metabolomics study of the transition from GDM to T2D validated in an independent testing set, facilitating early interventions.
AbstractList Gestational diabetes mellitus (GDM) affects 3-14% of pregnancies, with 20-50% of these women progressing to type 2 diabetes (T2D) within 5 years. This study sought to develop a metabolomics signature to predict the transition from GDM to T2D. A prospective cohort of 1,035 women with GDM pregnancy were enrolled at 6-9 weeks postpartum (baseline) and were screened for T2D annually for 2 years. Of 1,010 women without T2D at baseline, 113 progressed to T2D within 2 years. T2D developed in another 17 women between 2 and 4 years. A nested case-control design used 122 incident case patients matched to non-case patients by age, prepregnancy BMI, and race/ethnicity. We conducted metabolomics with baseline fasting plasma and identified 21 metabolites that significantly differed by incident T2D status. Machine learning optimization resulted in a decision tree modeling that predicted T2D incidence with a discriminative power of 83.0% in the training set and 76.9% in an independent testing set, which is far superior to measuring fasting plasma glucose levels alone. The American Diabetes Association recommends T2D screening in the early postpartum period via oral glucose tolerance testing after GDM, which is a time-consuming and inconvenient procedure. Our metabolomics signature predicted T2D incidence from a single fasting blood sample. This study represents the first metabolomics study of the transition from GDM to T2D validated in an independent testing set, facilitating early interventions.Gestational diabetes mellitus (GDM) affects 3-14% of pregnancies, with 20-50% of these women progressing to type 2 diabetes (T2D) within 5 years. This study sought to develop a metabolomics signature to predict the transition from GDM to T2D. A prospective cohort of 1,035 women with GDM pregnancy were enrolled at 6-9 weeks postpartum (baseline) and were screened for T2D annually for 2 years. Of 1,010 women without T2D at baseline, 113 progressed to T2D within 2 years. T2D developed in another 17 women between 2 and 4 years. A nested case-control design used 122 incident case patients matched to non-case patients by age, prepregnancy BMI, and race/ethnicity. We conducted metabolomics with baseline fasting plasma and identified 21 metabolites that significantly differed by incident T2D status. Machine learning optimization resulted in a decision tree modeling that predicted T2D incidence with a discriminative power of 83.0% in the training set and 76.9% in an independent testing set, which is far superior to measuring fasting plasma glucose levels alone. The American Diabetes Association recommends T2D screening in the early postpartum period via oral glucose tolerance testing after GDM, which is a time-consuming and inconvenient procedure. Our metabolomics signature predicted T2D incidence from a single fasting blood sample. This study represents the first metabolomics study of the transition from GDM to T2D validated in an independent testing set, facilitating early interventions.
Gestational diabetes mellitus (GDM) affects 3-14% of pregnancies, with 20-50% of these women progressing to type 2 diabetes (T2D) within 5 years. This study sought to develop a metabolomics signature to predict the transition from GDM to T2D. A prospective cohort of 1,035 women with GDM pregnancy were enrolled at 6-9 weeks postpartum (baseline) and were screened for T2D annually for 2 years. Of 1,010 women without T2D at baseline, 113 progressed to T2D within 2 years. T2D developed in another 17 women between 2 and 4 years. A nested case-control design used 122 incident case patients matched to non-case patients by age, prepregnancy BMI, and race/ethnicity. We conducted metabolomics with baseline fasting plasma and identified 21 metabolites that significantly differed by incident T2D status. Machine learning optimization resulted in a decision tree modeling that predicted T2D incidence with a discriminative power of 83.0% in the training set and 76.9% in an independent testing set, which is far superior to measuring fasting plasma glucose levels alone. The American Diabetes Association recommends T2D screening in the early postpartum period via oral glucose tolerance testing after GDM, which is a time-consuming and inconvenient procedure. Our metabolomics signature predicted T2D incidence from a single fasting blood sample. This study represents the first metabolomics study of the transition from GDM to T2D validated in an independent testing set, facilitating early interventions.
Author Ning, Xian
Wheeler, Michael B.
Nalla, Amarnadh
Liu, Ying
Cox, Brian J.
Dai, Feihan F.
Osborne, Lucy R.
Prentice, Kacey J.
Gunderson, Erica P.
Allalou, Amina
Zhang, Ming
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Cites_doi 10.1038/oby.2009.510
10.1097/AOG.0b013e3181fe424b
10.1016/j.metabol.2014.04.006
10.1038/nm.2307
10.2337/diacare.16.12.1598
10.1089/jwh.2010.2233
10.2337/dc11-1409
10.1016/j.tem.2010.10.003
10.1016/j.compbiomed.2008.12.005
10.2337/db13-0570
10.2337/db12-0495
10.2337/diacare.25.10.1862
10.1111/j.1471-0528.2011.03083.x
10.2337/dc07-s206
10.1371/journal.pone.0103217
10.1016/j.cmet.2009.02.002
10.1097/01.AOG.0000245446.85868.73
10.1038/msb.2012.43
10.2337/diabetes.50.1.69
10.1016/j.plipres.2012.12.001
10.1007/s00125-015-3587-7
10.1038/ctg.2013.19
10.3945/jn.108.103754
10.1371/journal.pone.0015234
10.1016/j.cmet.2014.03.008
10.2337/dc14-2101
10.2337/dc07-0618
10.1161/CIRCULATIONAHA.115.001593
10.1007/s11306-007-0098-7
10.1002/1520-7560(200005/06)16:3<164::AID-DMRR103>3.0.CO;2-R
10.1186/1471-2458-11-952
10.1210/jc.2014-3761
10.7326/M15-0807
10.1371/journal.pone.0013953
10.1016/0002-9378(82)90349-0
10.2337/dc14-S014
10.1371/journal.pone.0082459
10.1111/j.1365-2265.2011.04244.x
10.1172/JCI64801
10.1007/s11306-009-0189-8
10.1136/jech.2009.102244
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References Adams (2022031303540480200_B14) 2009; 139
Tan (2022031303540480200_B31) 2010; 6
Wang (2022031303540480200_B30) 2013; 123
Mihalik (2022031303540480200_B16) 2010; 18
Jones (2022031303540480200_B8) 2009
Gunderson (2022031303540480200_B26) 2012; 35
Fiehn (2022031303540480200_B15) 2010; 5
Wang (2022031303540480200_B41) 2015; 38
Wang-Sattler (2022031303540480200_B19) 2012; 8
Russell (2022031303540480200_B7) 2006; 108
Gunderson (2022031303540480200_B25) 2011; 11
Blatt (2022031303540480200_B5) 2011; 117
Rosella (2022031303540480200_B11) 2011; 65
Kim (2022031303540480200_B32) 2009; 39
Aroda (2022031303540480200_B34) 2015; 100
Samuel (2022031303540480200_B37) 2011; 22
American Diabetes Association (2022031303540480200_B3) 2014; 37
Deo (2022031303540480200_B12) 2015; 132
Lappas (2022031303540480200_B23) 2015; 58
Gunderson (2022031303540480200_B27) 2014; 63
Peter Slotte (2022031303540480200_B39) 2013; 52
Kim (2022031303540480200_B1) 2002; 25
Kim (2022031303540480200_B9) 2007; 30
Bennett (2022031303540480200_B6) 2011; 20
Ha (2022031303540480200_B20) 2012; 76
Carpenter (2022031303540480200_B24) 1982; 144
Waljee (2022031303540480200_B43) 2014; 5
Suhre (2022031303540480200_B17) 2010; 5
Shah (2022031303540480200_B4) 2011; 118
Prentice (2022031303540480200_B22) 2014; 19
(2022031303540480200_B29) 2000; 23
Menni (2022031303540480200_B36) 2013; 62
Metzger (2022031303540480200_B33) 1993; 16
Mai (2022031303540480200_B42) 2013; 8
Griffin (2022031303540480200_B10) 2000; 16
Newgard (2022031303540480200_B35) 2009; 9
Floegel (2022031303540480200_B21) 2013; 62
Gunderson (2022031303540480200_B28) 2015; 163
Maedler (2022031303540480200_B38) 2001; 50
Yi (2022031303540480200_B13) 2008; 4
Anderson (2022031303540480200_B40) 2014; 9
Ferrara (2022031303540480200_B2) 2007; 30
Wang (2022031303540480200_B18) 2011; 17
25893729 - Diabetologia. 2015 Jul;58(7):1436-42
24357209 - Diabetes Care. 2014 Jan;37 Suppl 1:S14-80
20111019 - Obesity (Silver Spring). 2010 Sep;18(9):1695-700
23884885 - Diabetes. 2013 Dec;62(12):4270-6
23295259 - Prog Lipid Res. 2013 Apr;52(2):206-19
12017675 - Diabetes Care. 2000 Jan;23 Suppl 1:S4-19
17138780 - Obstet Gynecol. 2006 Dec;108(6):1456-62
26572668 - Circulation. 2015 Nov 17;132(20):1920-30
21170321 - PLoS One. 2010 Dec 10;5(12):e15234
17575087 - Diabetes Care. 2007 Sep;30(9):2281-6
11147797 - Diabetes. 2001 Jan;50(1):69-76
21067942 - Trends Endocrinol Metab. 2011 Feb;22(2):60-5
19185855 - Comput Biol Med. 2009 Feb;39(2):187-93
21265645 - J Womens Health (Larchmt). 2011 Feb;20(2):239-45
12351492 - Diabetes Care. 2002 Oct;25(10):1862-8
21173645 - Obstet Gynecol. 2011 Jan;117(1):61-8
27388989 - Nat Rev Endocrinol. 2016 Sep;12(9):498
25184286 - PLoS One. 2014 Sep 03;9(9):e103217
21864326 - BJOG. 2011 Nov;118(12):1484-90
22196129 - BMC Public Health. 2011 Dec 23;11:952
10867715 - Diabetes Metab Res Rev. 2000 May-Jun;16(3):164-71
17596462 - Diabetes Care. 2007 Jul;30 Suppl 2:S141-6
23010998 - Mol Syst Biol. 2012;8:615
19883473 - J Obstet Gynecol Neonatal Nurs. 2009 Sep-Oct;38(5):516-26
24931281 - Metabolism. 2014 Jul;63(7):941-50
7148898 - Am J Obstet Gynecol. 1982 Dec 1;144(7):768-73
20515896 - J Epidemiol Community Health. 2011 Jul;65(7):613-20
21958081 - Clin Endocrinol (Oxf). 2012 May;76(5):674-82
26595611 - Ann Intern Med. 2015 Dec 15;163(12):889-98
25784660 - Diabetes Care. 2015 Jun;38(6):1099-107
19356713 - Cell Metab. 2009 Apr;9(4):311-26
24703697 - Cell Metab. 2014 Apr 1;19(4):653-66
8299456 - Diabetes Care. 1993 Dec;16(12):1598-605
24091325 - J Clin Invest. 2013 Oct;123(10):4309-17
24384866 - Clin Transl Gastroenterol. 2014 Jan 02;5:e44
19369366 - J Nutr. 2009 Jun;139(6):1073-81
21423183 - Nat Med. 2011 Apr;17(4):448-53
21085649 - PLoS One. 2010 Nov 11;5(11):e13953
22011407 - Diabetes Care. 2012 Jan;35(1):50-6
24358186 - PLoS One. 2013 Dec 16;8(12):e82459
25706240 - J Clin Endocrinol Metab. 2015 Apr;100(4):1646-53
23043162 - Diabetes. 2013 Feb;62(2):639-48
References_xml – volume: 18
  start-page: 1695
  year: 2010
  ident: 2022031303540480200_B16
  article-title: Increased levels of plasma acylcarnitines in obesity and type 2 diabetes and identification of a marker of glucolipotoxicity
  publication-title: Obesity (Silver Spring)
  doi: 10.1038/oby.2009.510
– volume: 117
  start-page: 61
  year: 2011
  ident: 2022031303540480200_B5
  article-title: Gaps in diabetes screening during pregnancy and postpartum
  publication-title: Obstet Gynecol
  doi: 10.1097/AOG.0b013e3181fe424b
– volume: 63
  start-page: 941
  year: 2014
  ident: 2022031303540480200_B27
  article-title: Lactation intensity and fasting plasma lipids, lipoproteins, non-esterified free fatty acids, leptin and adiponectin in postpartum women with recent gestational diabetes mellitus: the SWIFT cohort
  publication-title: Metabolism
  doi: 10.1016/j.metabol.2014.04.006
– volume: 17
  start-page: 448
  year: 2011
  ident: 2022031303540480200_B18
  article-title: Metabolite profiles and the risk of developing diabetes
  publication-title: Nat Med
  doi: 10.1038/nm.2307
– volume: 16
  start-page: 1598
  year: 1993
  ident: 2022031303540480200_B33
  article-title: Prepregnancy weight and antepartum insulin secretion predict glucose tolerance five years after gestational diabetes mellitus
  publication-title: Diabetes Care
  doi: 10.2337/diacare.16.12.1598
– volume: 20
  start-page: 239
  year: 2011
  ident: 2022031303540480200_B6
  article-title: Barriers to and facilitators of postpartum follow-up care in women with recent gestational diabetes mellitus: a qualitative study
  publication-title: J Womens Health (Larchmt)
  doi: 10.1089/jwh.2010.2233
– volume: 35
  start-page: 50
  year: 2012
  ident: 2022031303540480200_B26
  article-title: Lactation intensity and postpartum maternal glucose tolerance and insulin resistance in women with recent GDM: the SWIFT cohort
  publication-title: Diabetes Care
  doi: 10.2337/dc11-1409
– volume: 22
  start-page: 60
  year: 2011
  ident: 2022031303540480200_B37
  article-title: Fructose induced lipogenesis: from sugar to fat to insulin resistance
  publication-title: Trends Endocrinol Metab
  doi: 10.1016/j.tem.2010.10.003
– volume: 39
  start-page: 187
  year: 2009
  ident: 2022031303540480200_B32
  article-title: Ensembled support vector machines for human papillomavirus risk type prediction from protein secondary structures
  publication-title: Comput Biol Med
  doi: 10.1016/j.compbiomed.2008.12.005
– volume: 62
  start-page: 4270
  year: 2013
  ident: 2022031303540480200_B36
  article-title: Biomarkers for type 2 diabetes and impaired fasting glucose using a nontargeted metabolomics approach
  publication-title: Diabetes
  doi: 10.2337/db13-0570
– volume: 62
  start-page: 639
  year: 2013
  ident: 2022031303540480200_B21
  article-title: Identification of serum metabolites associated with risk of type 2 diabetes using a targeted metabolomic approach
  publication-title: Diabetes
  doi: 10.2337/db12-0495
– volume: 25
  start-page: 1862
  year: 2002
  ident: 2022031303540480200_B1
  article-title: Gestational diabetes and the incidence of type 2 diabetes: a systematic review
  publication-title: Diabetes Care
  doi: 10.2337/diacare.25.10.1862
– volume: 118
  start-page: 1484
  year: 2011
  ident: 2022031303540480200_B4
  article-title: Missed opportunities for type 2 diabetes testing following gestational diabetes: a population-based cohort study
  publication-title: BJOG
  doi: 10.1111/j.1471-0528.2011.03083.x
– volume: 30
  start-page: S141
  year: 2007
  ident: 2022031303540480200_B2
  article-title: Increasing prevalence of gestational diabetes mellitus: a public health perspective
  publication-title: Diabetes Care
  doi: 10.2337/dc07-s206
– volume: 9
  start-page: e103217
  year: 2014
  ident: 2022031303540480200_B40
  article-title: Evidence that multiple defects in lipid regulation occur before hyperglycemia during the prodrome of type-2 diabetes
  publication-title: PLoS One
  doi: 10.1371/journal.pone.0103217
– volume: 9
  start-page: 311
  year: 2009
  ident: 2022031303540480200_B35
  article-title: A branched-chain amino acid-related metabolic signature that differentiates obese and lean humans and contributes to insulin resistance
  publication-title: Cell Metab
  doi: 10.1016/j.cmet.2009.02.002
– volume: 108
  start-page: 1456
  year: 2006
  ident: 2022031303540480200_B7
  article-title: Rates of postpartum glucose testing after gestational diabetes mellitus
  publication-title: Obstet Gynecol
  doi: 10.1097/01.AOG.0000245446.85868.73
– volume: 8
  start-page: 615
  year: 2012
  ident: 2022031303540480200_B19
  article-title: Novel biomarkers for pre-diabetes identified by metabolomics
  publication-title: Mol Syst Biol
  doi: 10.1038/msb.2012.43
– volume: 50
  start-page: 69
  year: 2001
  ident: 2022031303540480200_B38
  article-title: Distinct effects of saturated and monounsaturated fatty acids on beta-cell turnover and function
  publication-title: Diabetes
  doi: 10.2337/diabetes.50.1.69
– volume: 52
  start-page: 206
  year: 2013
  ident: 2022031303540480200_B39
  article-title: Molecular properties of various structurally defined sphingomyelins—correlation of structure with function
  publication-title: Prog Lipid Res
  doi: 10.1016/j.plipres.2012.12.001
– volume: 58
  start-page: 1436
  year: 2015
  ident: 2022031303540480200_B23
  article-title: The prediction of type 2 diabetes in women with previous gestational diabetes mellitus using lipidomics
  publication-title: Diabetologia
  doi: 10.1007/s00125-015-3587-7
– volume: 5
  start-page: e44
  year: 2014
  ident: 2022031303540480200_B43
  article-title: A primer on predictive models
  publication-title: Clin Transl Gastroenterol
  doi: 10.1038/ctg.2013.19
– volume: 139
  start-page: 1073
  year: 2009
  ident: 2022031303540480200_B14
  article-title: Plasma acylcarnitine profiles suggest incomplete long-chain fatty acid beta-oxidation and altered tricarboxylic acid cycle activity in type 2 diabetic African-American women
  publication-title: J Nutr
  doi: 10.3945/jn.108.103754
– volume: 5
  start-page: e15234
  year: 2010
  ident: 2022031303540480200_B15
  article-title: Plasma metabolomic profiles reflective of glucose homeostasis in non-diabetic and type 2 diabetic obese African-American women
  publication-title: PLoS One
  doi: 10.1371/journal.pone.0015234
– volume: 19
  start-page: 653
  year: 2014
  ident: 2022031303540480200_B22
  article-title: The furan fatty acid metabolite CMPF is elevated in diabetes and induces β cell dysfunction
  publication-title: Cell Metab
  doi: 10.1016/j.cmet.2014.03.008
– volume: 38
  start-page: 1099
  year: 2015
  ident: 2022031303540480200_B41
  article-title: Circulating and dietary trans fatty acids and incident type 2 diabetes in older adults: the Cardiovascular Health Study
  publication-title: Diabetes Care
  doi: 10.2337/dc14-2101
– volume: 30
  start-page: 2281
  year: 2007
  ident: 2022031303540480200_B9
  article-title: Risk perception for diabetes among women with histories of gestational diabetes mellitus
  publication-title: Diabetes Care
  doi: 10.2337/dc07-0618
– volume: 132
  start-page: 1920
  year: 2015
  ident: 2022031303540480200_B12
  article-title: Machine Learning in Medicine
  publication-title: Circulation
  doi: 10.1161/CIRCULATIONAHA.115.001593
– volume: 4
  start-page: 30
  year: 2008
  ident: 2022031303540480200_B13
  article-title: Plasma fatty acid metabolic profile coupled with uncorrelated linear discriminant analysis to diagnose and biomarker screening of type 2 diabetes and type 2 diabetic coronary heart diseases
  publication-title: Metabolomics
  doi: 10.1007/s11306-007-0098-7
– volume: 16
  start-page: 164
  year: 2000
  ident: 2022031303540480200_B10
  article-title: Diabetes risk score: towards earlier detection of type 2 diabetes in general practice
  publication-title: Diabetes Metab Res Rev
  doi: 10.1002/1520-7560(200005/06)16:3<164::AID-DMRR103>3.0.CO;2-R
– volume: 11
  start-page: 952
  year: 2011
  ident: 2022031303540480200_B25
  article-title: Study of Women, Infant Feeding, and Type 2 Diabetes Mellitus After GDM Pregnancy (SWIFT), a prospective cohort study: methodology and design
  publication-title: BMC Public Health
  doi: 10.1186/1471-2458-11-952
– volume: 100
  start-page: 1646
  year: 2015
  ident: 2022031303540480200_B34
  article-title: The effect of lifestyle intervention and metformin on preventing or delaying diabetes among women with and without gestational diabetes: the Diabetes Prevention Program outcomes study 10-year follow-up
  publication-title: J Clin Endocrinol Metab
  doi: 10.1210/jc.2014-3761
– volume: 163
  start-page: 889
  year: 2015
  ident: 2022031303540480200_B28
  article-title: Lactation and progression to type 2 diabetes mellitus after gestational diabetes mellitus: a prospective cohort study
  publication-title: Ann Intern Med
  doi: 10.7326/M15-0807
– volume: 5
  start-page: e13953
  year: 2010
  ident: 2022031303540480200_B17
  article-title: Metabolic footprint of diabetes: a multiplatform metabolomics study in an epidemiological setting
  publication-title: PLoS One
  doi: 10.1371/journal.pone.0013953
– volume: 144
  start-page: 768
  year: 1982
  ident: 2022031303540480200_B24
  article-title: Criteria for screening tests for gestational diabetes
  publication-title: Am J Obstet Gynecol
  doi: 10.1016/0002-9378(82)90349-0
– volume: 37
  start-page: S14
  year: 2014
  ident: 2022031303540480200_B3
  article-title: Standards of medical care in diabetes—2014
  publication-title: Diabetes Care
  doi: 10.2337/dc14-S014
– volume: 8
  start-page: e82459
  year: 2013
  ident: 2022031303540480200_B42
  article-title: Serum levels of acylcarnitines are altered in prediabetic conditions
  publication-title: PLoS One
  doi: 10.1371/journal.pone.0082459
– volume: 76
  start-page: 674
  year: 2012
  ident: 2022031303540480200_B20
  article-title: The association of specific metabolites of lipid metabolism with markers of oxidative stress, inflammation and arterial stiffness in men with newly diagnosed type 2 diabetes
  publication-title: Clin Endocrinol (Oxf)
  doi: 10.1111/j.1365-2265.2011.04244.x
– start-page: 516
  volume-title: J Obstet Gynecol Neonatal Nurs
  year: 2009
  ident: 2022031303540480200_B8
  article-title: A review of the health beliefs and lifestyle behaviors of women with previous gestational diabetes
– volume: 123
  start-page: 4309
  year: 2013
  ident: 2022031303540480200_B30
  article-title: 2-Aminoadipic acid is a biomarker for diabetes risk
  publication-title: J Clin Invest
  doi: 10.1172/JCI64801
– volume: 6
  start-page: 219
  year: 2010
  ident: 2022031303540480200_B31
  article-title: Identification of free fatty acids profiling of type 2 diabetes mellitus and exploring possible biomarkers by GC–MS coupled with chemometrics
  publication-title: Metabolomics
  doi: 10.1007/s11306-009-0189-8
– volume: 23
  start-page: S4
  year: 2000
  ident: 2022031303540480200_B29
  article-title: The Expert Committee on the Diagnosis and Classification of Diabetes Mellitus. Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus
  publication-title: Diabetes Care
– volume: 65
  start-page: 613
  year: 2011
  ident: 2022031303540480200_B11
  article-title: A population-based risk algorithm for the development of diabetes: development and validation of the Diabetes Population Risk Tool (DPoRT)
  publication-title: J Epidemiol Community Health
  doi: 10.1136/jech.2009.102244
– reference: 27388989 - Nat Rev Endocrinol. 2016 Sep;12(9):498
– reference: 21958081 - Clin Endocrinol (Oxf). 2012 May;76(5):674-82
– reference: 21170321 - PLoS One. 2010 Dec 10;5(12):e15234
– reference: 17138780 - Obstet Gynecol. 2006 Dec;108(6):1456-62
– reference: 11147797 - Diabetes. 2001 Jan;50(1):69-76
– reference: 10867715 - Diabetes Metab Res Rev. 2000 May-Jun;16(3):164-71
– reference: 19185855 - Comput Biol Med. 2009 Feb;39(2):187-93
– reference: 22011407 - Diabetes Care. 2012 Jan;35(1):50-6
– reference: 20515896 - J Epidemiol Community Health. 2011 Jul;65(7):613-20
– reference: 23295259 - Prog Lipid Res. 2013 Apr;52(2):206-19
– reference: 19356713 - Cell Metab. 2009 Apr;9(4):311-26
– reference: 26572668 - Circulation. 2015 Nov 17;132(20):1920-30
– reference: 12017675 - Diabetes Care. 2000 Jan;23 Suppl 1:S4-19
– reference: 12351492 - Diabetes Care. 2002 Oct;25(10):1862-8
– reference: 22196129 - BMC Public Health. 2011 Dec 23;11:952
– reference: 26595611 - Ann Intern Med. 2015 Dec 15;163(12):889-98
– reference: 25184286 - PLoS One. 2014 Sep 03;9(9):e103217
– reference: 21085649 - PLoS One. 2010 Nov 11;5(11):e13953
– reference: 21265645 - J Womens Health (Larchmt). 2011 Feb;20(2):239-45
– reference: 25784660 - Diabetes Care. 2015 Jun;38(6):1099-107
– reference: 25706240 - J Clin Endocrinol Metab. 2015 Apr;100(4):1646-53
– reference: 23043162 - Diabetes. 2013 Feb;62(2):639-48
– reference: 24384866 - Clin Transl Gastroenterol. 2014 Jan 02;5:e44
– reference: 19369366 - J Nutr. 2009 Jun;139(6):1073-81
– reference: 20111019 - Obesity (Silver Spring). 2010 Sep;18(9):1695-700
– reference: 25893729 - Diabetologia. 2015 Jul;58(7):1436-42
– reference: 24703697 - Cell Metab. 2014 Apr 1;19(4):653-66
– reference: 23010998 - Mol Syst Biol. 2012;8:615
– reference: 21423183 - Nat Med. 2011 Apr;17(4):448-53
– reference: 8299456 - Diabetes Care. 1993 Dec;16(12):1598-605
– reference: 21173645 - Obstet Gynecol. 2011 Jan;117(1):61-8
– reference: 21067942 - Trends Endocrinol Metab. 2011 Feb;22(2):60-5
– reference: 24931281 - Metabolism. 2014 Jul;63(7):941-50
– reference: 19883473 - J Obstet Gynecol Neonatal Nurs. 2009 Sep-Oct;38(5):516-26
– reference: 17575087 - Diabetes Care. 2007 Sep;30(9):2281-6
– reference: 17596462 - Diabetes Care. 2007 Jul;30 Suppl 2:S141-6
– reference: 24357209 - Diabetes Care. 2014 Jan;37 Suppl 1:S14-80
– reference: 23884885 - Diabetes. 2013 Dec;62(12):4270-6
– reference: 21864326 - BJOG. 2011 Nov;118(12):1484-90
– reference: 24358186 - PLoS One. 2013 Dec 16;8(12):e82459
– reference: 7148898 - Am J Obstet Gynecol. 1982 Dec 1;144(7):768-73
– reference: 24091325 - J Clin Invest. 2013 Oct;123(10):4309-17
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Snippet Gestational diabetes mellitus (GDM) affects 3–14% of pregnancies, with 20–50% of these women progressing to type 2 diabetes (T2D) within 5 years. This study...
Gestational diabetes mellitus (GDM) affects 3-14% of pregnancies, with 20-50% of these women progressing to type 2 diabetes (T2D) within 5 years. This study...
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StartPage 2529
SubjectTerms Adult
Blood Glucose - metabolism
Body mass index
Case-Control Studies
Diabetes
Diabetes Mellitus, Type 2 - blood
Diabetes Mellitus, Type 2 - epidemiology
Diabetes, Gestational - blood
Diabetes, Gestational - epidemiology
Female
Glucose Tolerance Test
Humans
Incidence
Metabolism
Middle Aged
Postpartum Period - blood
Pregnancy
Prospective Studies
Women
Young Adult
Title A Predictive Metabolic Signature for the Transition From Gestational Diabetes Mellitus to Type 2 Diabetes
URI https://www.ncbi.nlm.nih.gov/pubmed/27338739
https://www.proquest.com/docview/1816852642
https://www.proquest.com/docview/1814138491
https://www.proquest.com/docview/1832250788
https://pubmed.ncbi.nlm.nih.gov/PMC5001181
Volume 65
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