Mai Ogino1, Hiroshi Tsubamoto1, Kazuko Sakata1, Naoko Oohama2, Hitomi Hayakawa2, Teruhito Kojima1, Minoru Shigeta2, Hiroaki Shibahara3. 1. Department of Obstetrics and Gynecology, Hyogo College of Medicine, Mukogawa 1-1, Nishinomiya, Hyogo, 663-8501, Japan. 2. Advanced Fertility Center of Fuchu Nozomi, Fuchu-cho 2-1-3, Izumi, Osaka, 594-0071, Japan. 3. Department of Obstetrics and Gynecology, Hyogo College of Medicine, Mukogawa 1-1, Nishinomiya, Hyogo, 663-8501, Japan. sibahara@hyo-med.ac.jp.
Abstract
PURPOSE: The aim of this study was to establish a simple tool to predict good-quality embryos in in vitro fertilization (IVF) by using cumulus cells (CCs) or peripheral blood cells (PBCs). METHODS: Mitochondrial DNA was extracted from CCs and PBCs in patients undergoing IVF. Using real-time polymerase chain reaction, mtDNA copy number in a single cell was calculated. Embryo quality was assessed when it was transferred or frozen. RESULTS: CCs were obtained from 60 oocyte cumulus-cell complexes (OCCCs) in 30 women, and PBCs were collected from 18 women. For the 30 women in the study, the median age was 37 years old (range, 24-43), and the mean body mass index was 21.4 (standard error, 2.0). mtDNA content of CCs and PBCs was highly correlated (Pearson's r = 0.900, p < 0.0001). The median mtDNA content of CCs for good- and poor-quality embryos was 140 and 57, respectively (p < 0.0001). The median mtDNA content of PBCs for good- and poor-quality embryos was 36 and 13, respectively (p = 0.604). The logistic regression model indicated that mtDNA content in CCs was the only parameter that predicted good-quality embryos (p = 0.020). The receiver operating characteristic curve for obtaining good-quality embryos by mtDNA copy number in CCs had an area under the curve of 0.823, and using a threshold of 86, positive and negative predictive values were 84.4 and 82.1 %, respectively. CONCLUSIONS: The determination of mtDNA content in CCs can be used to predict good-quality embryos.
PURPOSE: The aim of this study was to establish a simple tool to predict good-quality embryos in in vitro fertilization (IVF) by using cumulus cells (CCs) or peripheral blood cells (PBCs). METHODS: Mitochondrial DNA was extracted from CCs and PBCs in patients undergoing IVF. Using real-time polymerase chain reaction, mtDNA copy number in a single cell was calculated. Embryo quality was assessed when it was transferred or frozen. RESULTS: CCs were obtained from 60 oocyte cumulus-cell complexes (OCCCs) in 30 women, and PBCs were collected from 18 women. For the 30 women in the study, the median age was 37 years old (range, 24-43), and the mean body mass index was 21.4 (standard error, 2.0). mtDNA content of CCs and PBCs was highly correlated (Pearson's r = 0.900, p < 0.0001). The median mtDNA content of CCs for good- and poor-quality embryos was 140 and 57, respectively (p < 0.0001). The median mtDNA content of PBCs for good- and poor-quality embryos was 36 and 13, respectively (p = 0.604). The logistic regression model indicated that mtDNA content in CCs was the only parameter that predicted good-quality embryos (p = 0.020). The receiver operating characteristic curve for obtaining good-quality embryos by mtDNA copy number in CCs had an area under the curve of 0.823, and using a threshold of 86, positive and negative predictive values were 84.4 and 82.1 %, respectively. CONCLUSIONS: The determination of mtDNA content in CCs can be used to predict good-quality embryos.
Entities:
Keywords:
Blood; Cumulus cells; In vitro fertilization; Mitochondrial DNA
Authors: Rémi Dumollard; Petros Marangos; Greg Fitzharris; Karl Swann; Michael Duchen; John Carroll Journal: Development Date: 2004-05-26 Impact factor: 6.868
Authors: Daniel A Dumesic; David R Meldrum; Mandy G Katz-Jaffe; Rebecca L Krisher; William B Schoolcraft Journal: Fertil Steril Date: 2014-12-10 Impact factor: 7.329
Authors: Susanna McReynolds; Monika Dzieciatkowska; Blair R McCallie; Shane D Mitchell; John Stevens; Kirk Hansen; William B Schoolcraft; Mandy G Katz-Jaffe Journal: Fertil Steril Date: 2012-09-08 Impact factor: 7.329
Authors: Fatma Simsek-Duran; Fang Li; Wentia Ford; R James Swanson; Howard W Jones; Frank J Castora Journal: PLoS One Date: 2013-05-31 Impact factor: 3.240
Authors: Tamadir Al-Edani; Said Assou; Alice Ferrières; Sophie Bringer Deutsch; Anna Gala; Charles-Henri Lecellier; Ounissa Aït-Ahmed; Samir Hamamah Journal: Biomed Res Int Date: 2014-09-03 Impact factor: 3.411
Authors: Neelke De Munck; Alberto Liñán; Ibrahim Elkhatib; Aşina Bayram; Ana Arnanz; Carmen Rubio; Nicolas Garrido; Barbara Lawrenz; Human M Fatemi Journal: J Assist Reprod Genet Date: 2019-08-07 Impact factor: 3.412
Authors: A Taugourdeau; V Desquiret-Dumas; J F Hamel; S Chupin; L Boucret; V Ferré-L'Hotellier; P E Bouet; P Descamps; V Procaccio; P Reynier; P May-Panloup Journal: J Assist Reprod Genet Date: 2018-10-25 Impact factor: 3.412