Doriane Madeleneau1, Christophe Buffat2, Françoise Mondon3, Hélène Grimault4, Virginie Rigourd5, Vassilis Tsatsaris6, Franck Letourneur3, Daniel Vaiman3, Sandrine Barbaux3, Géraldine Gascoin4. 1. 1] Inserm U1016, Institut Cochin, Paris, France [2] Cnrs UMR8104, Institut Cochin, Paris, France [3] Université Paris Descartes, Sorbonne Paris Cité, Paris, France [4] Réanimation et Médecine Néonatales, CHU Cochin, APHP, Paris, France. 2. Laboratoire de Biologie Moléculaire, Hôpital la Conception, AP-HM, Marseille, France. 3. 1] Inserm U1016, Institut Cochin, Paris, France [2] Cnrs UMR8104, Institut Cochin, Paris, France [3] Université Paris Descartes, Sorbonne Paris Cité, Paris, France. 4. 1] Inserm U1016, Institut Cochin, Paris, France [2] Cnrs UMR8104, Institut Cochin, Paris, France [3] Université Paris Descartes, Sorbonne Paris Cité, Paris, France [4] Réanimation et Médecine Néonatales, CHU Angers, Angers, France. 5. 1] Inserm U1016, Institut Cochin, Paris, France [2] Cnrs UMR8104, Institut Cochin, Paris, France [3] Université Paris Descartes, Sorbonne Paris Cité, Paris, France [4] Réanimation et Médecine Néonatales, CHU Necker Enfants Malades, APHP, Paris, France. 6. Gynécologie Obstétricale, CHU Cochin, APHP, Paris, France.
Abstract
BACKGROUND: Intrauterine growth restriction (IUGR) is a frequent complication of pregnancy defined as a restriction of fetal growth. The objective of this work was to improve the knowledge on the pathophysiology of IUGR using a genome-wide method of expression analysis. METHODS: We analyzed differentially expressed genes in pooled placental tissues from vascular IUGR (four pools of three placentas) and normal pregnancies (four pools of three placentas) using a long nucleotide microarray platform (Nimblegen). We first did a global bioinformatics analysis based only on P value without any a priori. We secondly focused on "target" genes among the most modified ones. Finally, reverse transcription quantitative polymerase chain reaction (RT-qPCR) was performed on an extended panel of tissue samples (n = 62) on selected "target". RESULTS: We identified 636 modified genes among which 206 were upregulated (1.5 and higher; P < 0.05). Groups of patients were classified unambiguously. Genes involved in mitochondrial function and oxidative phosphorylation were decreased affecting three out of five complexes of the respiratory chain of the mitochondria, and thus energy production and metabolism. Among the most induced genes, we identified LEP, IGFBP1, and RBP4. CONCLUSION: Complementary studies on the role and function of LEP, IGFBP1, and RBP4 in IUGR pathophysiology and also in fetal programming remain necessary.
BACKGROUND: Intrauterine growth restriction (IUGR) is a frequent complication of pregnancy defined as a restriction of fetal growth. The objective of this work was to improve the knowledge on the pathophysiology of IUGR using a genome-wide method of expression analysis. METHODS: We analyzed differentially expressed genes in pooled placental tissues from vascular IUGR (four pools of three placentas) and normal pregnancies (four pools of three placentas) using a long nucleotide microarray platform (Nimblegen). We first did a global bioinformatics analysis based only on P value without any a priori. We secondly focused on "target" genes among the most modified ones. Finally, reverse transcription quantitative polymerase chain reaction (RT-qPCR) was performed on an extended panel of tissue samples (n = 62) on selected "target". RESULTS: We identified 636 modified genes among which 206 were upregulated (1.5 and higher; P < 0.05). Groups of patients were classified unambiguously. Genes involved in mitochondrial function and oxidative phosphorylation were decreased affecting three out of five complexes of the respiratory chain of the mitochondria, and thus energy production and metabolism. Among the most induced genes, we identified LEP, IGFBP1, and RBP4. CONCLUSION: Complementary studies on the role and function of LEP, IGFBP1, and RBP4 in IUGR pathophysiology and also in fetal programming remain necessary.
Authors: Signe Altmäe; Maria Teresa Segura; Francisco J Esteban; Sabine Bartel; Pilar Brandi; Martin Irmler; Johannes Beckers; Hans Demmelmair; Carmen López-Sabater; Berthold Koletzko; Susanne Krauss-Etschmann; Cristina Campoy Journal: PLoS One Date: 2017-01-26 Impact factor: 3.240
Authors: Joanna L Stanley; Karolina Sulek; Irene J Andersson; Sandra T Davidge; Louise C Kenny; Colin P Sibley; Rupasri Mandal; David S Wishart; David I Broadhurst; Philip N Baker Journal: Sci Rep Date: 2015-12-15 Impact factor: 4.379
Authors: Mikael S Huhtala; Kristiina Tertti; Juuso Juhila; Timo Sorsa; Tapani Rönnemaa Journal: BMC Pregnancy Childbirth Date: 2020-07-11 Impact factor: 3.007