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Original Article

Metabolomics and first-trimester prediction of early-onset preeclampsia

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Pages 1840-1847 | Received 17 Apr 2012, Accepted 17 Apr 2012, Published online: 28 Apr 2012

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Mengxin Yao, Yue Xiao, Zhuoqiao Yang, Wenxin Ge, Fei Liang, Haoyue Teng, Yingjie Gu & Jieyun Yin. (2022) Identification of Biomarkers for Preeclampsia Based on Metabolomics. Clinical Epidemiology 14, pages 337-360.
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B. Fatemeh Nobakht M. Gh. (2018) Application of metabolomics to preeclampsia diagnosis. Systems Biology in Reproductive Medicine 64:5, pages 324-339.
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Ray O. Bahado-Singh, Argyro Syngelaki, Rupsari Mandal, Stewart F. Graham, Ranjit Akolekar, Beomsoo Han, Trent C. Bjondahl, Edison Dong, Samuel Bauer, Zeynep Alpay-Savasan, Onur Turkoglu, Dotun Ogunyemi, Liona C. Poon, David S. Wishart & Kypros H. Nicolaides. (2017) Metabolomic determination of pathogenesis of late-onset preeclampsia. The Journal of Maternal-Fetal & Neonatal Medicine 30:6, pages 658-664.
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Desiderio Piras, Emanuela Locci, Francesco Palmas, Giulio Ferino, Vassilios Fanos, Antonio Noto, Ernesto D’aloja & Gabriele Finco. (2016) Rare disease: a focus on metabolomics. Expert Opinion on Orphan Drugs 4:12, pages 1229-1237.
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Ray O. Bahado-Singh, Rita Zaffra, Samet Albayarak, Anushka Chelliah, Rashmi Bolinjkar, Onur Turkoglu & Uppala Radhakrishna. (2016) Epigenetic markers for newborn congenital heart defect (CHD). The Journal of Maternal-Fetal & Neonatal Medicine 29:12, pages 1881-1887.
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Annalisa Inversetti, Maddalena Smid, Massimo Candiani, Maurizio Ferrari & Silvia Galbiati. (2014) Predictive biomarkers of pre-eclampsia and effectiveness of preventative interventions for the disease. Expert Opinion on Biological Therapy 14:8, pages 1161-1173.
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Filiberto Maria Severi, Maria De Bonis, Francesca Letizia Vellucci, Chiara Voltolini, Caterina Bocchi, Mariarosaria Di Tommaso, Michela Torricelli & Felice Petraglia. (2013) The obstetric syndromes: clinical relevance of placental hormones. Expert Review of Endocrinology & Metabolism 8:2, pages 127-138.
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Salvatore Andrea Mastrolia & Irene Cetin. 2020. Female Reproductive Dysfunction. Female Reproductive Dysfunction 411 430 .
Salvatore Andrea Mastrolia & Irene Cetin. 2020. Female Reproductive Dysfunction. Female Reproductive Dysfunction 1 20 .
Katrin N. Sander, Dong-Hyun Kim, Catharine A. Ortori, Averil Y. Warren, Uchenna C. Anyanwagu, Daniel P. Hay, Fiona Broughton Pipkin, Raheela N. Khan & David A. Barrett. (2019) Untargeted analysis of plasma samples from pre-eclamptic women reveals polar and apolar changes in the metabolome. Metabolomics 15:12.
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Crossref
Dagmar Wertaschnigg, Maya Reddy, Ben W.J. Mol, Daniel L. Rolnik & Fabricio Silva Costa. (2019) Prenatal screening for pre‐eclampsia: Frequently asked questions. Australian and New Zealand Journal of Obstetrics and Gynaecology 59:4, pages 477-483.
Crossref
Adi L. Tarca, Roberto Romero, Neta Benshalom-Tirosh, Nandor Gabor Than, Dereje W. Gudicha, Bogdan Done, Percy Pacora, Tinnakorn Chaiworapongsa, Bogdan Panaitescu, Dan Tirosh, Nardhy Gomez-Lopez, Sorin Draghici, Sonia S. Hassan & Offer Erez. (2019) The prediction of early preeclampsia: Results from a longitudinal proteomics study. PLOS ONE 14:6, pages e0217273.
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Thibaut D. J. Delplancke, Yue Wu, Ting-Li Han, Lingga R. Joncer, Hongbo Qi, Chao Tong & Philip N. Baker. (2018) Metabolomics of Pregnancy Complications: Emerging Application of Maternal Hair. BioMed Research International 2018, pages 1-19.
Crossref
J. Mayrink, M. L. Costa & J. G. Cecatti. (2018) Preeclampsia in 2018: Revisiting Concepts, Physiopathology, and Prediction. The Scientific World Journal 2018, pages 1-9.
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Jennifer N. Niemuth, Craig A. Harms, Jeffrey M. Macdonald & Michael K. Stoskopf. (2018) Propylene Glycol in Free-Ranging Green Sea Turtle Plasma. Journal of Fish and Wildlife Management 9:2, pages 617-623.
Crossref
Genevieve Eastabrook, Tuba Aksoy, Samantha Bedell, Debbie Penava & Barbra de Vrijer. (2018) Preeclampsia biomarkers: An assessment of maternal cardiometabolic health. Pregnancy Hypertension 13, pages 204-213.
Crossref
Katie L. Powell, Anthony Carrozzi, Alexandre S. Stephens, Vitomir Tasevski, Jonathan M. Morris, Anthony W. Ashton & Anthony C. Dona. (2018) Utility of metabolic profiling of serum in the diagnosis of pregnancy complications. Placenta 66, pages 65-73.
Crossref
Ray O. Bahado-Singh, Amit Lugade, Jayson Field, Zaid Al-Wahab, BeomSoo Han, Rupasri Mandal, Trent C. Bjorndahl, Onur Turkoglu, Stewart F. Graham, David Wishart & Kunle Odunsi. (2017) Metabolomic prediction of endometrial cancer. Metabolomics 14:1.
Crossref
Kristin E. Burnum-Johnson, Erin S. Baker & Thomas O. Metz. (2017) Characterizing the lipid and metabolite changes associated with placental function and pregnancy complications using ion mobility spectrometry-mass spectrometry and mass spectrometry imaging. Placenta 60, pages S67-S72.
Crossref
S.J. Benton, C. Ly, S. Vukovic & S.A. Bainbridge. (2017) Andrée Gruslin award lecture: Metabolomics as an important modality to better understand preeclampsia. Placenta 60, pages S32-S40.
Crossref
Ray Bahado-Singh, Liona C. Poon, Ali Yilmaz, Argyro Syngelaki, Onur Turkoglu, Praveen Kumar, Joseph Kirma, Matthew Allos, Veronica Accurti, Jiansheng Li, Peng Zhao, Stewart F. Graham, David R. Cool & Kypros Nicolaides. (2017) Integrated Proteomic and Metabolomic prediction of Term Preeclampsia. Scientific Reports 7:1.
Crossref
Jacopo Troisi, Laura Sarno, Pasquale Martinelli, Costantino Di Carlo, Annamaria Landolfi, Giovanni Scala, Maurizio Rinaldi, Pietro D’Alessandro, Carla Ciccone & Maurizio Guida. (2017) A metabolomics-based approach for non-invasive diagnosis of chromosomal anomalies. Metabolomics 13:11.
Crossref
Rachel S. Kelly, Rachel T. Giorgio, Bo L. Chawes, Natalia I. Palacios, Kathryn J. Gray, Hooman Mirzakhani, Ann Wu, Kevin Blighe, Scott T. Weiss & Jessica Lasky-Su. (2017) Applications of metabolomics in the study and management of preeclampsia: a review of the literature. Metabolomics 13:7.
Crossref
Lingwei Sun, Yixuan Guo, Yixuan Fan, Haitao Nie, Ruocheng Wang & Feng Wang. (2017) Metabolic profiling of stages of healthy pregnancy in Hu sheep using nuclear magnetic resonance (NMR). Theriogenology 92, pages 121-128.
Crossref
Tingting Chen, Ping He, Yong Tan & Dongying Xu. (2017) Biomarker identification and pathway analysis of preeclampsia based on serum metabolomics. Biochemical and Biophysical Research Communications 485:1, pages 119-125.
Crossref
Rachel S. Kelly, Damien C. Croteau-Chonka, Amber Dahlin, Hooman Mirzakhani, Ann C. Wu, Emily S. Wan, Michael J. McGeachie, Weiliang Qiu, Joanne E. Sordillo, Amal Al-Garawi, Kathryn J. Gray, Thomas F. McElrath, Vincent J. Carey, Clary B. Clish, Augusto A. Litonjua, Scott T. Weiss & Jessica A. Lasky-Su. (2016) Integration of metabolomic and transcriptomic networks in pregnant women reveals biological pathways and predictive signatures associated with preeclampsia. Metabolomics 13:1.
Crossref
Pitchaphon Nissaisorakarn, Sairah Sharif & Belinda Jim. (2016) Hypertension in Pregnancy: Defining Blood Pressure Goals and the Value of Biomarkers for Preeclampsia. Current Cardiology Reports 18:12.
Crossref
Douglas B. Kell & Louise C. Kenny. (2016) A Dormant Microbial Component in the Development of Preeclampsia. Frontiers in Medicine 3.
Crossref
Erin P. Ferranti, Emily J. Jones & Teri L. Hernandez. (2016) Pregnancy Reveals Evolving Risk for Cardiometabolic Disease in Women. Journal of Obstetric, Gynecologic & Neonatal Nursing 45:3, pages 413-425.
Crossref
Magdalena Orczyk-Pawilowicz, Ewa Jawien, Stanislaw Deja, Lidia Hirnle, Adam Zabek & Piotr Mlynarz. (2016) Metabolomics of Human Amniotic Fluid and Maternal Plasma during Normal Pregnancy. PLOS ONE 11:4, pages e0152740.
Crossref
C. Emily Kleinrouweler, Fiona M. Cheong-See, Gary S. Collins, Anneke Kwee, Shakila Thangaratinam, Khalid S. Khan, Ben Willem J. Mol, Eva Pajkrt, Karel G.M. Moons & Ewoud Schuit. (2016) Prognostic models in obstetrics: available, but far from applicable. American Journal of Obstetrics and Gynecology 214:1, pages 79-90.e36.
Crossref
Elaine Holmes, David MacIntyre, Neena Modi & Julian R. Marchesi. 2016. Metabolic Phenotyping in Personalized and Public Healthcare. Metabolic Phenotyping in Personalized and Public Healthcare 213 264 .
Joana Pinto, Lara Monteiro Almeida, Ana Sofia Martins, Daniela Duarte, Maria Rosário Marques Domingues, António Sousa Barros, Eulália Galhano, Cristina Pita, Maria do Céu Almeida, Isabel Marques Carreira & Ana Maria Gil. (2015) Impact of fetal chromosomal disorders on maternal blood metabolome: toward new biomarkers?. American Journal of Obstetrics and Gynecology 213:6, pages 841.e1-841.e15.
Crossref
Ray O. Bahado-Singh, Argyro Syngelaki, Ranjit Akolekar, Rupsari Mandal, Trent C. Bjondahl, Beomsoo Han, Edison Dong, Samuel Bauer, Zeynep Alpay-Savasan, Stewart Graham, Onur Turkoglu, David S. Wishart & Kypros H. Nicolaides. (2015) Validation of metabolomic models for prediction of early-onset preeclampsia. American Journal of Obstetrics and Gynecology 213:4, pages 530.e1-530.e10.
Crossref
Marie Austdal, Line Tangerås, Ragnhild Skråstad, Kjell Salvesen, Rigmor Austgulen, Ann-Charlotte Iversen & Tone Bathen. (2015) First Trimester Urine and Serum Metabolomics for Prediction of Preeclampsia and Gestational Hypertension: A Prospective Screening Study. International Journal of Molecular Sciences 16:9, pages 21520-21538.
Crossref
Priyadarshini Pantham, Alexander E.P. Heazell, Graham Mullard, Paul Begley, Qi Chen, Maria Brown, Warwick B. Dunn & Lawrence W. Chamley. (2015) Antiphospholipid Antibodies Alter Cell-Death-Regulating Lipid Metabolites in First and Third Trimester Human Placentae. American Journal of Reproductive Immunology 74:2, pages 181-199.
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Rosa Vázquez-Fresno, Rafael Llorach, Mireia Urpi-Sarda, Olha Khymenets, Mònica Bulló, Dolores Corella, Montserrat Fitó, Miguel Angel Martínez-González, Ramon Estruch & Cristina Andres-Lacueva. (2014) An NMR metabolomics approach reveals a combined-biomarkers model in a wine interventional trial with validation in free-living individuals of the PREDIMED study. Metabolomics 11:4, pages 797-806.
Crossref
Jianguo Xia, Igor V. Sinelnikov, Beomsoo Han & David S. Wishart. (2015) MetaboAnalyst 3.0—making metabolomics more meaningful. Nucleic Acids Research 43:W1, pages W251-W257.
Crossref
VB Brunelli & F Prefumo. (2015) Quality of first trimester risk prediction models for pre-eclampsia: a systematic review. BJOG: An International Journal of Obstetrics & Gynaecology 122:7, pages 904-914.
Crossref
Jeny Ghartey, Jamie A. Bastek, Amy G. Brown, Laura Anglim & Michal A. Elovitz. (2015) Women with preterm birth have a distinct cervicovaginal metabolome. American Journal of Obstetrics and Gynecology 212:6, pages 776.e1-776.e12.
Crossref
David M. Haas, Corette B. Parker, Deborah A. Wing, Samuel Parry, William A. Grobman, Brian M. Mercer, Hyagriv N. Simhan, Matthew K. Hoffman, Robert M. Silver, Pathik Wadhwa, Jay D. Iams, Matthew A. Koch, Steve N. Caritis, Ronald J. Wapner, M. Sean Esplin, Michal A. Elovitz, Tatiana Foroud, Alan M. Peaceman, George R. Saade, Marian Willinger & Uma M. Reddy. (2015) A description of the methods of the Nulliparous Pregnancy Outcomes Study: monitoring mothers-to-be (nuMoM2b). American Journal of Obstetrics and Gynecology 212:4, pages 539.e1-539.e24.
Crossref
Angelica Dessì, Flamina Cesare Marincola & Vassilios Fanos. (2015) Metabolomics and the great obstetrical syndromes – GDM, PET, and IUGR. Best Practice & Research Clinical Obstetrics & Gynaecology 29:2, pages 156-164.
Crossref
Caroline H. Johnson, Julijana Ivanisevic, H. Paul Benton & Gary Siuzdak. (2014) Bioinformatics: The Next Frontier of Metabolomics. Analytical Chemistry 87:1, pages 147-156.
Crossref
Agustin Conde-Agudelo, Roberto Romero & James M. Roberts. 2015. Chesley's Hypertensive Disorders in Pregnancy. Chesley's Hypertensive Disorders in Pregnancy 221 251 .
Tinnakorn Chaiworapongsa, Piya Chaemsaithong, Steven J. Korzeniewski, Lami Yeo & Roberto Romero. (2014) Pre-eclampsia part 2: prediction, prevention and management. Nature Reviews Nephrology 10:9, pages 531-540.
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Sonja B. Nikolic, James E. Sharman, Murray J. Adams & Lindsay M. Edwards. (2014) Metabolomics in hypertension. Journal of Hypertension 32:6, pages 1159-1169.
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Sylwia Kuc, Maria P. H. Koster, Jeroen L. A. Pennings, Thomas Hankemeier, Ruud Berger, Amy C. Harms, Adrie D. Dane, Peter C. J. I. Schielen, Gerard H. A. Visser & Rob J. Vreeken. (2014) Metabolomics Profiling for Identification of Novel Potential Markers in Early Prediction of Preeclampsia. PLoS ONE 9:5, pages e98540.
Crossref
D. Hailemariam, R. Mandal, F. Saleem, S.M. Dunn, D.S. Wishart & B.N. Ametaj. (2014) Identification of predictive biomarkers of disease state in transition dairy cows. Journal of Dairy Science 97:5, pages 2680-2693.
Crossref
Iola F. Duarte, Sílvia O. Diaz & Ana M. Gil. (2014) NMR metabolomics of human blood and urine in disease research. Journal of Pharmaceutical and Biomedical Analysis 93, pages 17-26.
Crossref
Zeynep Alpay Savasan, Luis F. Goncalves & Ray O. Bahado-Singh. (2014) Second- and third-trimester biochemical and ultrasound markers predictive of ischemic placental disease. Seminars in Perinatology 38:3, pages 167-176.
Crossref
Marie Austdal, Ragnhild Bergene Skråstad, Astrid Solberg Gundersen, Rigmor Austgulen, Ann-Charlotte Iversen & Tone Frost Bathen. (2014) Metabolomic Biomarkers in Serum and Urine in Women with Preeclampsia. PLoS ONE 9:3, pages e91923.
Crossref
Rashmi Mukherjee, Chaitali Datta Ray, Sabyasachi Ray, Swagata Dasgupta & Koel Chaudhury. (2014) Altered metabolic profile in early and late onset preeclampsia: An FTIR spectroscopic study. Pregnancy Hypertension: An International Journal of Women's Cardiovascular Health 4:1, pages 70-80.
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Srujana Polsani, Elizabeth Phipps & Belinda Jim. (2013) Emerging New Biomarkers of Preeclampsia. Advances in Chronic Kidney Disease 20:3, pages 271-279.
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Sofia Moco, Sebastiano Collino, Serge Rezzi & François-Pierre J. Martin. (2013) Metabolomics perspectives in pediatric research. Pediatric Research 73:2-4, pages 570-576.
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Jianguo Xia, David I. Broadhurst, Michael Wilson & David S. Wishart. (2012) Translational biomarker discovery in clinical metabolomics: an introductory tutorial. Metabolomics 9:2, pages 280-299.
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Vassilios Fanos, Luigi Atzori, Karina Makarenko, Gian Benedetto Melis & Enrico Ferrazzi. (2013) Metabolomics Application in Maternal-Fetal Medicine. BioMed Research International 2013, pages 1-9.
Crossref
Ray O. Bahado-Singh, Ranjit Akolekar, Rupasri Mandal, Edison Dong, Jianguo Xia, Michael Kruger, David S. Wishart & Kypros Nicolaides. (2013) First-trimester metabolomic detection of late-onset preeclampsia. American Journal of Obstetrics and Gynecology 208:1, pages 58.e1-58.e7.
Crossref

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