Metabolomics reveals broad-scale metabolic perturbations in hyperglycemic mothers during pregnancy

Diabetes Care

Volumn 37, Issue 1, 2014, Pages 158-166

  Scholtens, Denise M ^a   Muehlbauer, Michael J ^b   Daya, Natalie R ^a   Stevens, Robert D ^b,c   Dyer, Alan R ^a   Lowe, Lynn P ^a   Metzger, Boyd E ^a   Newgard, Christopher B ^b,c   Bain, James R ^b,c   Lowe, William L ^a  

^a NORTHWESTERN UNIVERSITY   (United States)

^b DUKE UNIVERSITY MEDICAL CENTER   (United States)

^c DUKE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

1,5 ANHYDROSORBITOL; 3 HYDROXYBUTYRIC ACID; ALANINE; ARGININE; ASPARAGINE; ASPARTIC ACID; BRANCHED CHAIN AMINO ACID; C PEPTIDE; CITRULLINE; GLUCOSE; GLUTAMIC ACID; GLUTAMINE; GLYCEROL; GLYCINE; HEMOGLOBIN A1C; INSULIN; ISOLEUCINE; LACTIC ACID; LEUCINE; LYSINE; PHENYLALANINE; PROLINE; TRIACYLGLYCEROL; VALINE; AMINO ACID; GLUCOSE BLOOD LEVEL;

ADULT; AMINO ACID BLOOD LEVEL; AMINO ACID METABOLISM; AMINO ACID SYNTHESIS; ARTICLE; BIRTH WEIGHT; BODY MASS; CARBOHYDRATE METABOLISM; CONTROLLED STUDY; FEMALE; GAS CHROMATOGRAPHY; GESTATIONAL AGE; GLUCOSE BLOOD LEVEL; GLUCOSE METABOLISM; GLYCEROL BLOOD LEVEL; HEMOGLOBIN BLOOD LEVEL; HUMAN; HYPERGLYCEMIA; INSULIN RELEASE; INSULIN RESISTANCE; INSULIN SENSITIVITY; LACTATE BLOOD LEVEL; MACRONUTRIENT; MAJOR CLINICAL STUDY; MASS SPECTROMETRY; MATERNAL AGE; METABOLIC DISORDER; METABOLITE; METABOLOMICS; MOTHER; NEWBORN; ORAL GLUCOSE TOLERANCE TEST; PARITY; PREGNANCY; PREGNANCY DIABETES MELLITUS; SKINFOLD; TREND STUDY; TRIACYLGLYCEROL BLOOD LEVEL; UMBILICAL CORD BLOOD; COMPARATIVE STUDY; FOOD; GLUCOSE TOLERANCE TEST; METABOLISM; PREGNANCY COMPLICATION; PREGNANCY OUTCOME; PROCEDURES;

3-HYDROXYBUTYRIC ACID; ADULT; AMINO ACIDS; BLOOD GLUCOSE; C-PEPTIDE; FEMALE; FOOD; GLUCOSE TOLERANCE TEST; HUMANS; HYPERGLYCEMIA; INFANT, NEWBORN; METABOLOMICS; MOTHERS; PREGNANCY; PREGNANCY COMPLICATIONS; PREGNANCY OUTCOME; TRIGLYCERIDES;

EID: 84892374966     PISSN: 01495992     EISSN: 19355548     Source Type: Journal    
DOI: 10.2337/dc13-0989     Document Type: Article

References (40)

1. Butte NF. Carbohydrate and lipid metabolism in pregnancy: Normal compared with gestational diabetes mellitus. Am J Clin Nutr 2000;71(Suppl.):1256S-1261S
2. Hadden DR, McLaughlin C. Normal and abnormal maternal metabolism during pregnancy. Semin Fetal Neonatal Med 2009;14:66-71
3. Buchanan TA, Xiang AH. Gestational diabetes mellitus. J Clin Invest 2005;115:485-491
4. 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
5. 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
6. 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
7. Metzger BE, Gabbe SG, Persson B, et al.;International Association of Diabetes and Pregnancy Study Groups Consensus Panel.International association of diabetes and pregnancy study groups recommendations on the diagnosis and classification of hyperglycemia in pregnancy. Diabetes Care 2010;33:676-682
8. HAPO Study Cooperative Research Group.The Hyperglycemia and Adverse Pregnancy Outcome (HAPO) Study. Int J Gynaecol Obstet 2002;78: 69-77
9. Radaelli T, Farrell KA, Huston-Presley L, et al. Estimates of insulin sensitivity using glucose and C-Peptide from the hyperglycemia and adverse pregnancy outcome glucose tolerance test. Diabetes Care 2010;33:490-494
10. Lien LF, Haqq AM, Arlotto M, et al. The STEDMAN project: Biophysical, biochemical and metabolic effects of a behavioral weight loss intervention during weight loss, maintenance, and regain. OMICS 2009;13:21-35
11. Kind T, Wohlgemuth G, Lee Y, et al. FiehnLib: Mass spectral and retention index libraries for metabolomics based on quadrupole and time-of-flight gas chromatography/mass spectrometry. Anal Chem 2009;81:10038-10048
12. Halket JM, Przyborowska A, Stein SE,Mallard WG, Down S, Chalmers RA.Deconvolution gas chromatography/mass spectrometry of urinary organic acidsdpotential for pattern recognition and automated identification of metabolic disorders. Rapid Commun Mass Spectrom 1999;13:279-284
13. Moulton LH, Halsey NA. A mixture model with detection limits for regression analyses of antibody response to vaccine. Biometrics 1995;51:1570-1578
14. Morgat A, Coissac E, Coudert E, et al.UniPathway: A resource for the exploration and annotation of metabolic pathways.Nucleic Acids Res 2012;40:D761-D769
15. Wohlgemuth G, Haldiya PK, Willighagen E,Kind T, Fiehn O. The Chemical Translation Serviceda web-based tool to improve standardization of metabolomic reports.Bioinformatics 2010;26:2647-2648
16. Goeman JJ, Van De Geer SA, De Kort F, Van Houwelingen HC. A global test for groups of genes: Testing association with a clinical outcome. Bioinformatics 2004;20:93-99
17. Benjamini Y, Hochberg Y. Controlling the false discovery rate: A practical and powerful approach to multiple testing. J R Stat Soc B 1995;57:289-300
18. 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
19. 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
20. Sachse D, Sletner L, Mørkrid K, et al.Metabolic changes in urine during and after pregnancy in a large, multiethnic populationbased cohort study of gestational diabetes.PLoS One 2012;7:e52399
21. Wurtz P, Makinen VP, Soininen P, et al. Metabolic signatures of insulin resistance in 7,098 young adults. Diabetes 2012;61:1372-1380
22. Kalhan SC. Protein metabolism in pregnancy. Am J Clin Nutr 2000;71(Suppl.):1249S-1255S
23. Cetin I, De Santis MS, Taricco E, et al.Maternal and fetal amino acid concentrations in normal pregnancies and in pregnancies with gestational diabetes mellitus. Am J Obstet Gynecol 2005;192:610-617
24. Metzger BE, Phelps RL, Freinkel N, Navickas IA. Effects of gestational diabetes on diurnal profiles of plasma glucose, lipids, and individual amino acids. Diabetes Care 1980;3:402-409
25. Newgard CB. Interplay between lipids and branched-chain amino acids in development of insulin resistance. Cell Metab 2012;15:606-614
26. Stanćakov́a A, Civelek M, Saleem NK, et al. Hyperglycemia and a common variant of GCKR are associated with the levels of eight amino acids in 9,369 Finnish men. Diabetes 2012;61:1895-1902
27. AdevaMM, Calvĩno J, Souto G, Donapetry C. Insulin resistance and the metabolism of branched-chain amino acids in humans.Amino Acids 2012;43:171-181
28. Laferr ̀ere B, Reilly D, Arias S, et al.Differential metabolic impact of gastric bypass surgery versus dietary intervention in obese diabetic subjects despite identical weight loss. Sci Transl Med 2011;3:80re2
29. Shah SH, Crosslin DR, Haynes CS, et al.Branched-chain amino acid levels are associated with improvement in insulin resistance with weight loss. Diabetologia 2012;55:321-330
30. Fiehn O, Garvey WT, Newman JW, Lok KH,Hoppel CL, Adams SH. Plasma metabolomic profiles reflective of glucose homeostasis in non-diabetic and type 2 diabetic obese African-American women. PLoS One 2010;5:e15234
31. Suhre K, Meisinger C, Doring A, et al.Metabolic footprint of diabetes:A multiplatform metabolomics study in an epidemiological setting. PLoS One 2010;5:e13953
32. Wang TJ, Larson MG, Vasan RS, et al.Metabolite profiles and the risk of developing diabetes. Nat Med 2011;17:448-453
33. Rhee EP, Cheng S, Larson MG, et al. Lipid profiling identifies a triacylglycerol signature of insulin resistance and improves diabetes prediction in humans.J Clin Invest 2011;121:1402-1411
34. Catalano PM, McIntyre HD, Cruickshank JK, et al.; HAPO Study Cooperative Research Group. The hyperglycemia and adverse pregnancy outcome study: Associations of GDM and obesity with pregnancy outcomes. Diabetes Care 2012;35:780-786
35. Brown MS, Goldstein JL. Selective versus total insulin resistance: A pathogenic paradox. Cell Metab 2008;7:95-96
36. Kim KJ, Lee BW. The roles of glycated albumin as intermediate glycation index and pathogenic protein. Diabetes Metab J 2012;36:98-107
37. Nowak N, Skupien J, Cyganek K, Matejko B, Malecki MT. 1,5-Anhydroglucitol as a marker of maternal glycaemic control and predictor of neonatal birthweight in pregnancies complicated by type 1 diabetes mellitus. Diabetologia 2013;56:709-713
38. Di Cianni G, Miccoli R, Volpe L, et al.Maternal triglyceride levels and newborn weight in pregnant women with normal glucose tolerance. Diabet Med 2005;22:21-25
39. Schaefer-Graf UM, Graf K, Kulbacka I, et al.Maternal lipids as strong determinants of fetal environment and growth in pregnancies with gestational diabetes mellitus. Diabetes Care 2008;31:1858-1863
40. Gall WE, Beebe K, Lawton KA, et al.; RISC Study Group. a-hydroxybutyrate is an early biomarker of insulin resistance and glucose intolerance in a nondiabetic population. PLoS One 2010;5:e10883