Metabolomic determination of pathogenesis of late-onset preeclampsia

References

• Poon LC, Kametas NA, Chelemen T, et al. Maternal risk factors for hypertensive disorders in pregnancy: a multivariate approach. J Hum Hypertens 2010;24:104–10
   PubMed Web of Science ®Google Scholar
• Raymond D, Peterson E. A critical review of early-onset and late-onset preeclampsia. Obstet Gynecol Surv 2011;66:497–506
   PubMed Web of Science ®Google Scholar
• Akolekar R, Syngelaki A, Sarquis R, et al. Prediction of early, intermediate and late pre-eclampsia from maternal factors, biophysical and biochemical markers at 11–13 weeks. Prenat Diagn 2011;31:66–74
   PubMed Web of Science ®Google Scholar
• Wright D, Akolekar R, Syngelaki A, et al. A competing risks model in early screening for preeclampsia. Fetal Diagn Ther 2012;32:171–8
   PubMed Web of Science ®Google Scholar
• Lisonkova S, Joseph KS. Incidence of preeclampsia: risk factors and outcomes associated with early- versus late-onset disease. Am J Obstet Gynecol 2013;209:544e1–12
   Web of Science ®Google Scholar
• Bujold E, Roberge S, Lacasse Y, et al. Prevention of preeclampsia and intrauterine growth restriction with aspirin started in early pregnancy: a meta-analysis. Obstet Gynecol 2010;116:402–14
   PubMed Web of Science ®Google Scholar
• Bahado-Singh RO, Akolekar R, Mandal R, et al. Metabolomics and first-trimester prediction of early-onset preeclampsia. J Matern Fetal Neonatal Med 2012;25:1840–7
   PubMed Web of Science ®Google Scholar
• Bahado-Singh RO, Syngelaki A, Akolekar R, et al. Validation of metabolomic models for prediction of early-onset preeclampsia. Am J Obstet Gynecol 2015;213:530e1–10
   PubMed Web of Science ®Google Scholar
• Kuc S, Koster MP, Pennings JL, et al. Metabolomics profiling for identification of novel potential markers in early prediction of preeclampsia. PLoS One 2014;9:e98540
   PubMed Web of Science ®Google Scholar
• Bahado-Singh RO, Akolekar R, Mandal R, et al. First-trimester metabolomic detection of late-onset preeclampsia. Am J Obstet Gynecol 2013;208:58e1–7
   Web of Science ®Google Scholar
• Kenny LC, Broadhurst DI, Dunn W, et al. Robust early pregnancy prediction of later preeclampsia using metabolomic biomarkers. Hypertension 2010;56:741–9
   PubMed Web of Science ®Google Scholar
• Odibo AO, Goetzinger KR, Odibo L, et al. First-trimester prediction of preeclampsia using metabolomic biomarkers: a discovery phase study. Prenat Diagn 2011;31:990–4
   PubMed Web of Science ®Google Scholar
• Austdal M, Skrastad RB, Gundersen AS, et al. Metabolomic biomarkers in serum and urine in women with preeclampsia. PLoS One 2014;9:e91923
   PubMed Web of Science ®Google Scholar
• Graham SF, Chevallier OP, Elliott CT, et al. Untargeted metabolomic analysis of human plasma indicates differentially affected polyamine and L-arginine metabolism in mild cognitive impairment subjects converting to Alzheimer’s disease. PLoS One 2015;10:e0119452
   PubMed Web of Science ®Google Scholar
• Graham S, Holscher C, Green B. Metabolic signatures of human Alzheimer’s disease (AD): 1H NMR analysis of the polar metabolome of post-mortem brain tissue. Metabolomics 2014;10:744–53
   Web of Science ®Google Scholar
• Graham SF, Chevallier OP, Roberts D, et al. Investigation of the human brain metabolome to identify potential markers for early diagnosis and therapeutic targets of Alzheimer's disease. Anal Chem 2013;85:1803–11
   PubMed Web of Science ®Google Scholar
• Cowans NJ, Stamatopoulou A, Khalil A, Spencer K. PP13 as a marker of pre-eclampsia: a two platform comparison study. Placenta 2011;32:S37–41
   PubMed Web of Science ®Google Scholar
• Bahado-Singh RO, Ertl R, Mandal R, et al. Metabolomic prediction of fetal congenital heart defect in the first trimester. Am J Obstet Gynecol 2014;211:240e1–14
   Web of Science ®Google Scholar
• Brown MA, Lindheimer MD, de Swiet M, et al. The classification and diagnosis of the hypertensive disorders of pregnancy: statement from the International Society for the Study of Hypertension in Pregnancy (ISSHP). Hypertens Pregnancy 2001;20:IX–XIV
   PubMed Web of Science ®Google Scholar
• Xia J, Mandal R, Sinelnikov IV, et al. MetaboAnalyst 2.0 – a comprehensive server for metabolomic data analysis. Nucleic Acids Res 2012;40:W127–33. (Web Server issue)
   PubMed Web of Science ®Google Scholar
• Xia J, Psychogios N, Young N, Wishart DS. MetaboAnalyst: a web server for metabolomic data analysis and interpretation. Nucleic Acids Res 2009;37:W652–60. (Web Server issue)
   PubMed Web of Science ®Google Scholar
• Xia J, Sinelnikov IV, Han B, Wishart DS. MetaboAnalyst 3.0-making metabolomics more meaningful. Nucleic Acids Res 2015;43:W251–7
   PubMed Web of Science ®Google Scholar
• Xia J, Broadhurst DI, Wilson M, Wishart DS. Translational biomarker discovery in clinical metabolomics: an introductory tutorial. Metabolomics 2013;9:280–99
   PubMed Web of Science ®Google Scholar
• Tibshirani R. Regression shrinkage and selection via the Lasso. J R Stat Soc Series B 1996;58:267–88
   Google Scholar
• Hastie T, Tibshirani, R., Friedman, J. The elements of statistical learning. New York: Informa UK Limited, trading as Taylor & Francis Group; 2009
   Google Scholar
• Wishart DS, Jewison T, Guo AC, et al. HMDB 3.0–the human metabolome database in 2013. Nucleic Acids Res 2013;41:D801–7
   PubMed Web of Science ®Google Scholar
• Wishart DS, Knox C, Guo AC, et al. HMDB: a knowledgebase for the human metabolome. Nucleic Acids Res 2009;37:D603–10
   PubMed Web of Science ®Google Scholar
• Wishart DS, Tzur D, Knox C, et al. HMDB: the human metabolome database. Nucleic Acids Res 2007;35:D521–6
   PubMed Web of Science ®Google Scholar
• Battaglia FC, Regnault TR. Placental transport and metabolism of amino acids. Placenta 2001;22:145–61
   PubMed Web of Science ®Google Scholar
• Cetin I. Amino acid interconversions in the fetal-placental unit: the animal model and human studies in vivo. Pediatr Res 2001;49:148–54
   PubMed Web of Science ®Google Scholar
• Paolini CL, Marconi AM, Ronzoni S, et al. Placental transport of leucine, phenylalanine, glycine, and proline in intrauterine growth-restricted pregnancies. J Clin Endocrinol Metab 2001;86:5427–32
   PubMed Web of Science ®Google Scholar
• Yang J, Chi Y, Burkhardt BR, et al. Leucine metabolism in regulation of insulin secretion from pancreatic beta cells. Nutr Rev 2010;68:270–9
   PubMed Web of Science ®Google Scholar
• Wang TJ, Larson MG, Vasan RS, et al. Metabolite profiles and the risk of developing diabetes. Nat Med 2011;17:448–53
   PubMed Web of Science ®Google Scholar
• Bauman WA, Maimen M, Langer O. An association between hyperinsulinemia and hypertension during the third trimester of pregnancy. Am J Obstet Gynecol 1988;159:446–50
   PubMed Web of Science ®Google Scholar
• Caruso A, Ferrazzani S, De Carolis S, et al. Gestational hypertension but not pre-eclampsia is associated with insulin resistance syndrome characteristics. Hum Reprod 1999;14:219–23
   PubMed Web of Science ®Google Scholar
• Kaaja R, Tikkanen MJ, Viinikka L, Ylikorkala O. Serum lipoproteins, insulin, and urinary prostanoid metabolites in normal and hypertensive pregnant women. Obstet Gynecol 1995;85:353–6
   PubMed Web of Science ®Google Scholar
• Martinez Abundis E, Gonzalez Ortiz M, Quinones Galvan A, Ferrannini E. Hyperinsulinemia in glucose-tolerant women with preeclampsia. A controlled study. Am J Hypertens 1996;9:610–14
   PubMed Web of Science ®Google Scholar
• Sowers JR, Saleh AA, Sokol RJ. Hyperinsulinemia and insulin resistance are associated with preeclampsia in African–Americans. Am J Hypertens 1995;8:1–4
   PubMed Web of Science ®Google Scholar
• Ladeiras-Lopes R, Fontes-Carvalho R, Bettencourt N, et al. Novel therapeutic targets of metformin: metabolic syndrome and cardiovascular disease. Expert Opin Ther Targets 2015;19:869–77
   PubMed Web of Science ®Google Scholar
• Zheng J, Shan PF, Gu W. The efficacy of metformin in pregnant women with polycystic ovary syndrome: a meta-analysis of clinical trials. J Endocrinol Invest 2013;36:797–802
   PubMed Web of Science ®Google Scholar
• Syngelaki A, Nicolaides KH, Balani J, et al. Metformin versus placebo in obese pregnant Women without diabetes mellitus. N Engl J Med 2016;374:434–43
   PubMed Web of Science ®Google Scholar
• Li X, Xu Z, Lu X, et al. Comprehensive two-dimensional gas chromatography/time-of-flight mass spectrometry for metabonomics: biomarker discovery for diabetes mellitus. Anal Chim Acta 2009;633:257–62
   PubMed Web of Science ®Google Scholar
• Gall WE, Beebe K, Lawton KA, et al. Alpha-hydroxybutyrate is an early biomarker of insulin resistance and glucose intolerance in a nondiabetic population. PLoS One 2010;5:e10883
   PubMed Web of Science ®Google Scholar
• Widmer M, Villar J, Benigni A, et al. Mapping the theories of preeclampsia and the role of angiogenic factors: a systematic review. Obstet Gynecol 2007;109:168–80
   PubMed Web of Science ®Google Scholar