Claudia Fattuoni1, Chiara Mandò2, Francesco Palmas1, Gaia Maria Anelli2, Chiara Novielli2, Estefanìa Parejo Laudicina3, Valeria Maria Savasi2, Luigi Barberini4, Angelica Dessì5, Roberta Pintus5, Vassilios Fanos5, Antonio Noto5, Irene Cetin6. 1. Department of Chemical and Geological Sciences, University of Cagliari, Italy. 2. Unit of Obstetrics and Gynecology, Hospital "L. Sacco" and Department of Biomedical and Clinical Sciences, Università degli Studi di Milano, Italy. 3. Centre of Excellence for Pediatric Research EURISTIKOS and Department of Pediatrics, School of Medicine, University of Granada, Granada, Spain. 4. Department of Medical Sciences and Public Health, University of Cagliari, Italy. 5. Maternal-Neonatal Department, Neonatal Intensive Care Unit, Puericulture Institute and Neonatal Section, AOUCA University Hospital of Cagliari, Italy. 6. Unit of Obstetrics and Gynecology, Hospital "L. Sacco" and Department of Biomedical and Clinical Sciences, Università degli Studi di Milano, Italy. Electronic address: irene.cetin@unimi.it.
Abstract
INTRODUCTION: Metabolomics identifies phenotypical groups with specific metabolic profiles, being increasingly applied to several pregnancy conditions. This is the first preliminary study analyzing placental metabolomics in normal weight (NW) and obese (OB) pregnancies. METHODS: Twenty NW (18.5 ≤ BMI< 25 kg/m2) and eighteen OB (BMI≥ 30 kg/m2) pregnancies were studied. Placental biopsies were collected at elective caesarean section. Metabolites extraction method was optimized for hydrophilic and lipophilic phases, then analyzed with GC-MS. Univariate and PLS-DA multivariate analysis were applied. RESULTS: Univariate analysis showed increased uracil levels while multivariate PLS-DA analysis revealed lower levels of LC-PUFA derivatives in the lipophilic phase and several metabolites with significantly different levels in the hydrophilic phase of OB vs NW. DISCUSSION: Placental metabolome analysis of obese pregnancies showed differences in metabolites involved in antioxidant defenses, nucleotide production, as well as lipid synthesis and energy production, supporting a shift towards higher placental metabolism. OB placentas also showed a specific fatty acids profile suggesting a disruption of LC-PUFA biomagnification. This study can lay the foundation to further metabolomic placental characterization in maternal obesity. Metabolic signatures in obese placentas may reflect changes occurring in the intrauterine metabolic environment, which may affect the development of adult diseases.
INTRODUCTION: Metabolomics identifies phenotypical groups with specific metabolic profiles, being increasingly applied to several pregnancy conditions. This is the first preliminary study analyzing placental metabolomics in normal weight (NW) and obese (OB) pregnancies. METHODS: Twenty NW (18.5 ≤ BMI< 25 kg/m2) and eighteen OB (BMI≥ 30 kg/m2) pregnancies were studied. Placental biopsies were collected at elective caesarean section. Metabolites extraction method was optimized for hydrophilic and lipophilic phases, then analyzed with GC-MS. Univariate and PLS-DA multivariate analysis were applied. RESULTS: Univariate analysis showed increased uracil levels while multivariate PLS-DA analysis revealed lower levels of LC-PUFA derivatives in the lipophilic phase and several metabolites with significantly different levels in the hydrophilic phase of OB vs NW. DISCUSSION: Placental metabolome analysis of obese pregnancies showed differences in metabolites involved in antioxidant defenses, nucleotide production, as well as lipid synthesis and energy production, supporting a shift towards higher placental metabolism. OB placentas also showed a specific fatty acids profile suggesting a disruption of LC-PUFA biomagnification. This study can lay the foundation to further metabolomic placental characterization in maternal obesity. Metabolic signatures in obese placentas may reflect changes occurring in the intrauterine metabolic environment, which may affect the development of adult diseases.
Authors: Nicole S Carlson; Jennifer K Frediani; Elizabeth J Corwin; Anne Dunlop; Dean Jones Journal: Biol Res Nurs Date: 2020-01-27 Impact factor: 2.522
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