New insights into gestational glucose metabolism: Lessons learned from 21st century approaches

Diabetes

Volumn 64, Issue 2, 2015, Pages 327-334

  Angueira, Anthony R ^a   Ludvik, Anton E ^a   Reddy, Timothy E ^b,c   Wicksteed, Barton ^d   Lowe, William L ^a   Layden, Brian T ^a,e  

^a NORTHWESTERN UNIVERSITY   (United States)

^b DUKE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c DUKE UNIVERSITY   (United States)

^d University of Chicago ^*  (United States)

^e JESSE BROWN VA MEDICAL CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; FEMALE; FETUS DEVELOPMENT; FETUS OUTCOME; GENE EXPRESSION; GENETIC ASSOCIATION; GLUCONEOGENESIS; GLUCOSE BLOOD LEVEL; GLUCOSE HOMEOSTASIS; GLUCOSE METABOLISM; HUMAN; INSULIN RELEASE; INSULIN SENSITIVITY; INTESTINE FLORA; MATERNAL NUTRITION; METABOLOMICS; PANCREAS ISLET BETA CELL; PREGNANCY; PREGNANCY DIABETES MELLITUS; PRIORITY JOURNAL; SECOND TRIMESTER PREGNANCY; SINGLE NUCLEOTIDE POLYMORPHISM; THIRD TRIMESTER PREGNANCY; GENE EXPRESSION REGULATION; GENETIC MARKER; GENETIC POLYMORPHISM; GENOMICS; INSULIN RESISTANCE; METABOLISM; PHYSIOLOGY;

GENETIC MARKER; GLUCOSE; GLUCOSE BLOOD LEVEL;

BLOOD GLUCOSE; DIABETES, GESTATIONAL; FEMALE; GENE EXPRESSION REGULATION; GENETIC MARKERS; GENOME-WIDE ASSOCIATION STUDY; GENOMICS; GLUCONEOGENESIS; GLUCOSE; HUMANS; INSULIN RESISTANCE; INSULIN-SECRETING CELLS; POLYMORPHISM, GENETIC; PREGNANCY;

EID: 84921895055     PISSN: 00121797     EISSN: 1939327X     Source Type: Journal    
DOI: 10.2337/db14-0877     Document Type: Article

References (48)

1. Metzger BE, Lowe LP, Dyer AR, et al.; HAPO Study Cooperative Research Group. Hyperglycemia and adverse pregnancy outcomes. N Engl J Med 2008;358:1991-2002
2. Ruchat SM, Hivert MF, Bouchard L. Epigenetic programming of obesity and diabetes by in utero exposure to gestational diabetes mellitus. Nutr Rev 2013;71(Suppl. 1):S88-S94
3. Di Cianni G, Miccoli R, Volpe L, Lencioni C, Del Prato S. Intermediate metabolism in normal pregnancy and in gestational diabetes. Diabetes Metab Res Rev 2003;19:259-270
4. Hadden DR, McLaughlin C. Normal and abnormal maternal metabolism during pregnancy. Semin Fetal Neonatal Med 2009;14:66-71
5. Butte NF. Carbohydrate and lipid metabolism in pregnancy: normal compared with gestational diabetes mellitus. Am J Clin Nutr 2000;71(Suppl.):1256S-1261S
6. Newbern D, Freemark M. Placental hormones and the control of maternal metabolism and fetal growth. Curr Opin Endocrinol Diabetes Obes 2011;18:409-416
7. Mazaki-Tovi S, Kanety H, Pariente C, et al. Insulin sensitivity in late gestation and early postpartum period: the role of circulating maternal adipokines. Gynecol Endocrinol 2011;27:725-731
8. Desoye G, Hauguel-De Mouzon S. The human placenta in gestational diabetes mellitus. The insulin and cytokine network. Diabetes Care 2007;30(Suppl. 2):S120-S126
9. Lain KY, Catalano PM. Metabolic changes in pregnancy. Clin Obstet Gynecol 2007;50:938-948
10. Romero R, Gotsch F, Pineles B, Kusanovic JP. Inflammation in pregnancy: its roles in reproductive physiology, obstetrical complications, and fetal injury. Nutr Rev 2007;65:S194-S202
11. Sorenson RL, Brelje TC. Prolactin receptors are critical to the adaptation of islets to pregnancy. Endocrinology 2009;150:1566-1569
12. Butler AE, Cao-Minh L, Galasso R, et al. Adaptive changes in pancreatic beta cell fractional area and beta cell turnover in human pregnancy. Diabetologia 2010;53:2167-2176
13. Pasek RC, Gannon M. Advancements and challenges in generating accurate animal models of gestational diabetes mellitus. Am J Physiol Endocrinol Metab 2013;305:E1327-E1338
14. Kim H, Toyofuku Y, Lynn FC, et al. Serotonin regulates pancreatic beta cell mass during pregnancy. Nat Med 2010;16:804-808
15. Jacovetti C, Abderrahmani A, Parnaud G, et al. MicroRNAs contribute to compensatory b cell expansion during pregnancy and obesity. J Clin Invest 2012;122:3541-3551
16. Ben-Jonathan N, La Pensee CR, La Pensee EW. What can we learn from rodents about prolactin in humans? Endocr Rev 2008;29:1-41
17. Welter D, MacArthur J, Morales J, et al. The NHGRI GWAS Catalog, a curated resource of SNP-trait associations. Nucleic Acids Res 2014;42:D1001-D1006
18. Cho YM, Kim TH, Lim S, et al. Type 2 diabetes-associated genetic variants discovered in the recent genome-wide association studies are related to gestational diabetes mellitus in the Korean population. Diabetologia 2009;52:253-261
19. Kwak SH, Kim SH, Cho YM, et al. A genome-wide association study of gestational diabetes mellitus in Korean women. Diabetes 2012;61:531-541
20. Robitaille J, Grant AM. The genetics of gestational diabetes mellitus: evidence for relationship with type 2 diabetes mellitus. Genet Med 2008;10:240-250
21. Freathy RM, Hayes MG, Urbanek M, et al.; HAPO Study Cooperative Research Group. Hyperglycemia and Adverse Pregnancy Outcome (HAPO) study: common genetic variants in GCK and TCF7L2 are associated with fasting and postchallenge glucose levels in pregnancy and with the new consensus definition of gestational diabetes mellitus from the International Association of Diabetes and Pregnancy Study Groups. Diabetes 2010;59:2682-2689
22. Zhang C, Bao W, Rong Y, et al. Genetic variants and the risk of gestational diabetes mellitus: a systematic review. Hum Reprod Update 2013;19:376-390
23. Polychronakos C, Li Q. Understanding type 1 diabetes through genetics: advances and prospects. Nat Rev Genet 2011;12:781-792
24. Hayes MG, Urbanek M, Hivert MF, et al.; HAPO Study Cooperative Research Group. Identification of HKDC1 and BACE2 as genes influencing glycemic traits during pregnancy through genome-wide association studies. Diabetes 2013;62:3282-3291
25. Irwin DM, Tan H. Molecular evolution of the vertebrate hexokinase gene family: identification of a conserved fifth vertebrate hexokinase gene. Comp Biochem Physiol Part D Genomics Proteomics 2008;3:96-107
26. Esterházy D, Stützer I, Wang H, et al. Bace2 is a b cell-enriched protease that regulates pancreatic b cell function and mass. Cell Metab 2011;14:365-377
27. Lee AJ, Hiscock RJ, Wein P, Walker SP, Permezel M. Gestational diabetes mellitus: clinical predictors and long-term risk of developing type 2 diabetes: a retrospective cohort study using survival analysis. Diabetes Care 2007;30:878-883
28. Petry CJ, Evans ML, Wingate DL, et al. Raised late pregnancy glucose concentrations in mice carrying pups with targeted disruption of H19delta13. Diabetes 2010;59:282-286
29. Bain JR, Stevens RD, Wenner BR, Ilkayeva O, Muoio DM, Newgard CB. Metabolomics applied to diabetes research: moving from information to knowledge. Diabetes 2009;58:2429-2443
30. Newgard CB, An J, Bain JR, et al. A branched-chain amino acid-related metabolic signature that differentiates obese and lean humans and contributes to insulin resistance. Cell Metab 2009;9:311-326
31. Menni C, Fauman E, Erte I, et al. Biomarkers for type 2 diabetes and impaired fasting glucose using a nontargeted metabolomics approach. Diabetes 2013;62:4270-4276
32. Gall WE, Beebe K, Lawton KA, et al.; RISC Study Group. alpha-hydroxybutyrate is an early biomarker of insulin resistance and glucose intolerance in a nondiabetic population. PLoS One 2010;5:e10883
33. Newgard CB. Interplay between lipids and branched-chain amino acids in development of insulin resistance. Cell Metab 2012;15:606-614
34. Ferrannini E, Natali A, Camastra S, et al. Early metabolic markers of the development of dysglycemia and type 2 diabetes and their physiological significance. Diabetes 2013;62:1730-1737
35. Scholtens DM, Muehlbauer MJ, Daya NR, et al.; HAPO Study Cooperative Research Group. Metabolomics reveals broad-scale metabolic perturbations in hyperglycemic mothers during pregnancy. Diabetes Care 2014;37:158-166
36. Pappa KI, Vlachos G, Theodora M, Roubelaki M, Angelidou K, Antsaklis A. Intermediate metabolism in association with the amino acid profile during the third trimester of normal pregnancy and diet-controlled gestational diabetes. Am J Obstet Gynecol 2007;196:65.e1-5.
37. Diaz SO, Pinto J, Graça G, et al. Metabolic biomarkers of prenatal disorders: an exploratory NMR metabonomics study of second trimester maternal urine and blood plasma. J Proteome Res 2011;10:3732-3742
38. Graça G, Goodfellow BJ, Barros AS, et al. UPLC-MS metabolic profiling of second trimester amniotic fluid and maternal urine and comparison with NMR spectral profiling for the identification of pregnancy disorder biomarkers. Mol Biosyst 2012;8:1243-1254
39. Bäckhed F, Ding H, Wang T, et al. The gut microbiota as an environmental factor that regulates fat storage. Proc Natl Acad Sci U S A 2004;101:15718-15723
40. Karlsson F, Tremaroli V, Nielsen J, Bäckhed F. Assessing the human gut microbiota in metabolic diseases. Diabetes 2013;62:3341-3349
41. Ley RE, Bäckhed F, Turnbaugh P, Lozupone CA, Knight RD, Gordon JI. Obesity alters gut microbial ecology. Proc Natl Acad Sci U S A 2005;102:11070-11075
42. Vrieze A, Van Nood E, Holleman F, et al. Transfer of intestinal microbiota from lean donors increases insulin sensitivity in individuals with metabolic syndrome. Gastroenterology 2012;143:913-916.e7
43. Ridaura VK, Faith JJ, Rey FE, et al. Gut microbiota from twins discordant for obesity modulate metabolism in mice. Science 2013;341:1241214
44. Karlsson FH, Tremaroli V, Nookaew I, et al. Gut metagenome in European women with normal, impaired and diabetic glucose control. Nature 2013;498:99-103
45. Koren O, Goodrich JK, Cullender TC, et al. Host remodeling of the gut microbiome and metabolic changes during pregnancy. Cell 2012;150:470-480
46. Collado MC, Isolauri E, Laitinen K, Salminen S. Distinct composition of gut microbiota during pregnancy in overweight and normal-weight women. Am J Clin Nutr 2008;88:894-899
47. Zhao C, Dong J, Jiang T, et al. Early second-trimester serum miRNA profiling predicts gestational diabetes mellitus. PLoS One 2011;6:e23925
48. Palmer ND, Goodarzi MO, Langefeld CD, et al. Quantitative trait analysis of type 2 diabetes susceptibility loci identified from whole genome association studies in the Insulin Resistance Atherosclerosis Family Study. Diabetes 2008;57:1093-1100