Tiina Jääskeläinen1,2, Olli Kärkkäinen3,4, Jenna Jokkala3, Anton Klåvus3, Seppo Heinonen5, Seppo Auriola4, Marko Lehtonen4, Kati Hanhineva3,6, Hannele Laivuori7,8,9. 1. Medical and Clinical Genetics, University of Helsinki and Helsinki University Hospital, Helsinki, Finland. tiina.j.jaaskelainen@helsinki.fi. 2. Department of Food and Nutrition, University of Helsinki, Helsinki, Finland. tiina.j.jaaskelainen@helsinki.fi. 3. Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland. 4. School of Pharmacy, University of Eastern Finland, Kuopio, Finland. 5. Obstetrics and Gynecology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland. 6. Department of Biochemistry, Food Chemistry and Food Development Unit, University of Turku, Turku, Finland. 7. Medical and Clinical Genetics, University of Helsinki and Helsinki University Hospital, Helsinki, Finland. 8. Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland. 9. Department of Obstetrics and Gynecology, Faculty of Medicine and Health Technology, Tampere University Hospital and University of Tampere, Tampere, Finland.
Abstract
INTRODUCTION: Maternal metabolism changes substantially during pregnancy. However, few studies have used metabolomics technologies to characterize changes across gestation. OBJECTIVES AND METHODS: We applied liquid chromatography-mass spectrometry (LC-MS) based non-targeted metabolomics to determine whether the metabolic profile of serum differs throughout the pregnancy between pre-eclamptic and healthy women in the FINNPEC (Finnish Genetics of Preeclampsia Consortium) Study. Serum samples were available from early and late pregnancy. RESULTS: Progression of pregnancy had large-scale effects to the serum metabolite profile. Altogether 50 identified metabolites increased and 49 metabolites decreased when samples of early pregnancy were compared to samples of late pregnancy. The metabolic signatures of pregnancy were largely shared in pre-eclamptic and healthy women, only urea, monoacylglyceride 18:1 and glycerophosphocholine were identified to be increased in the pre-eclamptic women when compared to healthy controls. CONCLUSIONS: Our study highlights the need of large-scale longitudinal metabolomic studies in non-complicated pregnancies before more detailed understanding of metabolism in adverse outcomes could be provided. Our findings are one of the first steps for a broader metabolic understanding of the physiological changes caused by pregnancy per se.
INTRODUCTION: Maternal metabolism changes substantially during pregnancy. However, few studies have used metabolomics technologies to characterize changes across gestation. OBJECTIVES AND METHODS: We applied liquid chromatography-mass spectrometry (LC-MS) based non-targeted metabolomics to determine whether the metabolic profile of serum differs throughout the pregnancy between pre-eclamptic and healthy women in the FINNPEC (Finnish Genetics of Preeclampsia Consortium) Study. Serum samples were available from early and late pregnancy. RESULTS: Progression of pregnancy had large-scale effects to the serum metabolite profile. Altogether 50 identified metabolites increased and 49 metabolites decreased when samples of early pregnancy were compared to samples of late pregnancy. The metabolic signatures of pregnancy were largely shared in pre-eclamptic and healthy women, only urea, monoacylglyceride 18:1 and glycerophosphocholine were identified to be increased in the pre-eclamptic women when compared to healthy controls. CONCLUSIONS: Our study highlights the need of large-scale longitudinal metabolomic studies in non-complicated pregnancies before more detailed understanding of metabolism in adverse outcomes could be provided. Our findings are one of the first steps for a broader metabolic understanding of the physiological changes caused by pregnancy per se.
Authors: Christian Hellmuth; Olaf Uhl; Marie Standl; Hans Demmelmair; Joachim Heinrich; Berthold Koletzko; Elisabeth Thiering Journal: Obes Facts Date: 2017-04-05 Impact factor: 3.942
Authors: Leandro De Oliveira; Niels Olsen S Câmara; Tatiana Bonetti; Edson G Lo Turco; Ricardo P Bertolla; Antonio F Moron; Nelson Sass; Ismael Dale Cotrim Guerreiro Da Silva Journal: Clin Biochem Date: 2012-04-21 Impact factor: 3.281
Authors: Irene Cetin; Maria S Nobile de Santis; Emanuela Taricco; Tatjana Radaelli; Cecilia Teng; Stefania Ronzoni; Elena Spada; Silvano Milani; Giorgio Pardi Journal: Am J Obstet Gynecol Date: 2005-02 Impact factor: 8.661
Authors: Marie Austdal; Line H Tangerås; Ragnhild B Skråstad; Kjell Salvesen; Rigmor Austgulen; Ann-Charlotte Iversen; Tone F Bathen Journal: Int J Mol Sci Date: 2015-09-08 Impact factor: 5.923
Authors: David Broadhurst; Royston Goodacre; Stacey N Reinke; Julia Kuligowski; Ian D Wilson; Matthew R Lewis; Warwick B Dunn Journal: Metabolomics Date: 2018-05-18 Impact factor: 4.290
Authors: Kati Hanhineva; Antti Iivanainen; Mikael Niku; Tiina Pessa-Morikawa; Aleksi Husso; Olli Kärkkäinen; Ville Koistinen Journal: BMC Microbiol Date: 2022-02-07 Impact factor: 3.605