A MODEL FOR PREDICTING THE QUALITY OF EMBRYOS IN AN IN VITRO FERTILIZATION PROGRAM IN TERMS OF THE GENOTYPE OF PATIENTS


Cite item

Full Text

Open Access Open Access
Restricted Access Access granted
Restricted Access Subscription or Fee Access

Abstract

Objective. To create a personalized multigenic model for predicting the quality of embryos obtained in the assisted reproductive technology programs after patients have been previously genotyped. Subjects and methods. A prospective study was conducted in 160 reproductive-aged patients who had sought advice for infertility treatment using in vitro fertilization (IVF). The predictors of the quality of embryos were the following polymorphic loci: AMH 146 G>T (Ile49Ser) [rs10407022]; FSHR 2039 G>A (Ser680Asn) [rs6166]; LHCGR 935A>G (Asn312Ser) [rs2293275]; and LHCGR 872 A>G (Asn291Ser) [rs12470652]. Results. The accuracy of embryo quality prediction using the gene polymorphisms for AMH 146 G>T (Ile49Ser), FSHR 2039 G>A (Ser680Asn), LHCGR 935A>G (Asn312Ser), and LHCGR 872A>G (Asn291Ser) was 82.9%. Conclusion. Mathematical modeling in everyday clinical practice can serve as an additional marker in choosing a personalized superovulation scheme and elaborating the individual tactics of an embryonic stage during IVF treatment.

Full Text

Restricted Access

About the authors

I. V Vladimirova

Email: inteterina@yandex.ru
scientist of the Department of assistive reproductive technology in the treatment of infertility, Research Center of Obstetrics, Gynecology and Perinatology, Ministry of Health of Russia. 117997, Russia, Moscow, Ac. Oparina str. 4

E. A Kalinina

Email: e_kalinina@oparina4.ru
M.D., Ph.D., Head of the Department of assistive reproductive technology in the treatment of infertility, Research Center of Obstetrics, Gynecology and Perinatology, Ministry of Health of Russia 117997, Russia, Moscow, Ac. Oparina str. 4

A. E Donnikov

Email: a_donnikov@oparina4.ru
PhD, senior staff scientist of laboratory of molecular genetic methods, Research Center of Obstetrics, Gynecology and Perinatology, Ministry of Health of Russia. 117997, Russia, Moscow, Ac. Oparina str. 4

References

  1. Баранов В.С. Генетический паспорт - основа индивидуальной и предиктивной медицины. СПб.: Н-Л; 2009. 528c. [Baranov V.S. The genetic passport - the basis of individual and predictive medicine. St. Petersburg: N-L; 2009. 528p. (in Russian)]
  2. Владимирова И.В., Калинина Е.А., Донников А.Е. Молекулярно-генетические маркеры как прогностические факторы овариального ответа в программах вспомогательных репродуктивных технологий. Акушерство и гинекология. 2014; 3: 16-20. [Vladimirova I.V., Kalinina E.A., Donnikov A.E. Molecular genetic markers as prognostic factors of an ovarian response in assisted reproductive technology programs (a review of literature). Akusherstvo i Ginekologiya/Obstetrics and Gynecology. 2014; (3): 16-20. (in Russian)]
  3. Сухих Г.Т., Сароян Т.Т., Корнеева И.Е. Иммунные аспекты патофизиологии синдрома гиперстимуляции яичников. Акушерство и гинекология. 2009; 3: 3-6. [Sukhikh G.T., Saroyan T.T., Korneeva I.E. Immune aspects of the pathophysiology of ovarian hyperstimulation syndrome. Akusherstvo i Ginekologiya/Obstetrics and Gynecology. 2009; (3): 3-6. (in Russian)]
  4. Altmae S., Hovatta O., Stavreus-Evers A., Salumets A. Genetic predictors of controlled ovarian hyperstimulation: where do we stand today? Hum. Reprod. Update. 2011; 17(6): 813-28.
  5. Alvarez C., Garcia-Garrido C., Taronger R., Gonzalez de Merlo G. In vitro maturation, fertilization, embryo development & clinical outcome of human metaphase-I oocytes retrieved from stimulated intracytoplasmic sperm injection cycles. Indian J. Med. Res. 2013; 137(2): 331-8.
  6. Alviggi C., Humaidan P., Ezcurra D. Hormonal, functional and genetic biomarkers in controlled ovarian stimulation: tools for matching patients and protocols. Reprod. Biol. Endocrinol. 2012; 10: 9.
  7. Alpha Scientists in Reproductive Medicine and ESHRE Special Interest Group of Embryology. The Istanbul consensus workshop on embryo assessment: proceedings of an expert meeting. Hum. Reprod. 2011; 26(6): 1270-83.
  8. Boudjenah R., Molina-Gomes D., Torre A., Bergere M., Bailly M., Boitrelle F. et al. Genetic polymorphisms influence the ovarian response to rFSH stimulation in patients undergoing in vitro fertilization programs with ICSI. PloS One. 2012; 7(6): e38700.
  9. Delvigne A. Symposium: Update on prediction and management of OHSS. Epidemiology of OHSS. Reprod. Biomed. Online. 2009; 19(1): 8-13.
  10. Desai S.S., Achrekar S.K., Paranjape S.R., Desai S.K., Mangoli V.S., Mahale S.D. Association of allelic combinations of FSHR gene polymorphisms with ovarian response. Reprod. Biomed. Online. 2013; 27(4): 400-6.
  11. Ferraretti A.P., La Marca A., Fauser B.C., Tarlatzis B., Nargund G., Gianaroli L. ESHRE consensus on the definition of ’poor response’ to ovarian stimulation for in vitro fertilization: the Bologna criteria. Hum. Reprod. 2011; 26(7): 1616-24.
  12. Gearhart J., Coutifaris C. In vitro fertilization, the Nobel Prize, and human embryonic stem cells. Cell Stem Cell. 2011; 8(1): 12-5.
  13. Grady R., Alavi N., Vale R., Khandwala M., McDonald S.D. Elective single embryo transfer and perinatal outcomes: a systematic review and metaanalysis. Fertil. Steril. 2012; 97(2): 324-31.

Supplementary files

Supplementary Files
Action
1. JATS XML
Download

Copyright (c) 2016 Bionika Media

This website uses cookies

You consent to our cookies if you continue to use our website.

About Cookies