About
The Journal "Obstetrics and Gynecology"Journal HistoryAims and ScopePolicies on Conflict of Interest, Human and Animal Rights, and Informed ConsentEditorial ProcessData sharing statementAdvertising PolicyThe Process for Handling Cases Requiring Corrections, Retractions, and Editorial Expressions of ConcernEditorial BoardEditorial CounsilInformation for ProfessionalsNewsContacts
ArchiveEthical StandardsSubscription
For authors
InstructionsInformed consent policyContract offerEASE GuidelinesICJME CriteriaWAME Recommendations on ChatGPT and Chatbots in Relation to Scholarly Publications
Reviewing
About
The Journal "Obstetrics and Gynecology"Journal HistoryAims and ScopePolicies on Conflict of Interest, Human and Animal Rights, and Informed ConsentEditorial ProcessData sharing statementAdvertising PolicyThe Process for Handling Cases Requiring Corrections, Retractions, and Editorial Expressions of ConcernEditorial BoardEditorial CounsilInformation for ProfessionalsNewsContacts
ArchiveEthical StandardsSubscription
For authors
InstructionsInformed consent policyContract offerEASE GuidelinesICJME CriteriaWAME Recommendations on ChatGPT and Chatbots in Relation to Scholarly Publications
Reviewing
Logout
Obstetrics and Gynegology2021№11
The follicular fluid metabolomic profile...

The follicular fluid metabolomic profile as a marker for oocyte quality in assisted reproductive technology programs

DOI
https://dx.doi.org/10.18565/aig.2021.11.26-31

Gaponenko A.A., Mityurina E.V., Frankevich V.E.

Academician V.I. Kulakov National Medical Research Center of Obstetrics, Gynecology, and Perinatology, Ministry of Health of Russia, Moscow, Russia
One of the leading factors in determining the success of assisted reproductive technologies is to obtain an embryo with a high implantation potential, which in turn depends more on the quality of gametes. The main criterion for assessing the quality of oocytes is their morphological characteristics. Recent studies are aimed at searching for more accurate and non-invasive markers that determine the egg ability to be fertilized and to subsequently develop to a normal embryo. Follicular fluid is a unique investigation object, as it carries information about the features of the metabolic activity of the oocyte, and hence its competence. A study of biological fluid metabolomes has become possible due to the technologies based on the use of mass spectrometry and nuclear magnetic resonance. This review presents studies that discuss whether the follicular fluid metabolomic profile can be investigated to assess the quality of an oocyte and the feasibility of using a number of metabolites as additional markers. It also gives the results of a number of studies of the complete metabolomic profile of follicular fluid from patients of different age groups and according to the values of anti-Müllerian hormone. There are data on the composition of follicular fluid in women with polycystic ovary syndrome and other metabolic disorders. The review describes the studies of follicular fluid metabolomes in patients with ovarian endometrioid cysts and in those with recurrent implantation failures.
Conclusion: The results of the studies conducted have confirmed the prospects and relevance of further investigation of the follicular fluid metabolic profile, which may allow one to create predictive oocyte quality model in the future.

Keywords

assisted reproductive technologies
follicular fluid
metabolomic profile
mass spectrometry
Full text (in Russian)

References

  1. De Geyter C., Wyns C., Calhaz-Jorge C., de Mouzon J., Ferraretti A.P., Kupka M. et al. 20 years of the European IVF-monitoring Consortium registry: what have we learned? A comparison with registries from two other regions. Hum. Reprod. 2020; 35(12): 2832-49. https://dx.doi.org/10.1093/humrep/deaa250.
  2. Gleicher N., Kushnir V.A., Barad D.H. Worldwide decline of IVF birth rates and its probable causes. Hum. Reprod. Open. 2019; 2019(3): hoz017. https://dx.doi.org/10.1093/hropen/hoz017.
  3. Sirard M.A., Richard F., Blondin P., Robert C. Contribution of the oocyte to embryo quality. Theriogenology. 2006; 65(1): 126-36. https://dx.doi.org/10.1016/j.theriogenology.2005.09.020.
  4. De Sousa P.A., Caveney A., Westhusin M.E., Watson A.J. Temporal patterns of embryonic gene expression and their dependence on oogenetic factors. Theriogenology. 1998; 49(1): 115-28. https://dx.doi.org/10.1016/s0093-691x(97)00406-8.
  5. Patrizio P., Fragouli E., Bianchi V., Borini A., Wells D. Molecular methods for selection of the ideal oocyte. Reprod. Biomed. Online. 2007; 15(3): 346-53. https://dx.doi.org/10.1016/s1472-6483(10)60349-5.
  6. Dawson A., Griesinger G., Diedrich K. Screening oocytes by polar body biopsy. Reprod. Biomed. Online. 2006; 13(1): 104-9. https://dx.doi.org/10.1016/s1472-6483(10)62023-8.
  7. Moon J.H., Hyun C.S., Lee S.W., Son W.Y., Yoon S.H., Lim J.H. Visualization of the metaphase II meiotic spindle in living huma oocytes using the Polscope enables the prediction of embryonic developmental competence after ICSI. Hum. Reprod. 2003; 18(4): 817-20. https://dx.doi.org/10.1093/humrep/deg165.
  8. Santos T.A., El Shourbagy S., St John J.C. Mitochondrial content reflects oocyte variability and fertilization outcome. Fertil. Steril. 2006; 85(3): 584-91. https://dx.doi.org/10.1016/j.fertnstert.2005.09.017.
  9. Николенко И.Г., Смольникова В.Ю., Чаговец В.В. Возможности прогнозирования исходов программ вспомогательных репродуктивных технологий у пациенток с эндометриоидными кистами яичников на основании метаболомного профиля фолликулярной жидкости. Акушерство и гинекология. 2020; 11: 44-8. [Nikolenko I.G., Smolnikova V.Yu., Chagovets V.V. Possibilities of predicting the outcomes of assisted reproductive technology programs in patients with endometrioid ovarian cysts based on the metabolic profile of the follicular fluid. Obstetrics and gynecology. 2020; 11: 44-8. (in Russian)]. https://dx.doi.org/10.18565/aig.2020.11.44-48.
  10. Lei Z., Huhman D.V., Sumner L.W. Mass spectrometry strategies in metabo-lomics. J. Biol. Chem. 2011; 286(29): 25435-42. https://dx.doi.org/10.1074/jbc.R111.238691.
  11. Bracewell-Milnes T., Saso S., Abdalla H., Nikolau D., Norman-Taylor J., Johnson M. et al. Metabolomics as a tool to identify biomarkers to predict and improve outcomes in reproductive medicine: a systematic review. Hum. Reprod. Update. 2017; 23(6): 723-36. https://dx.doi.org/10.1093/humupd/dmx023.
  12. McRae C., Sharma V., Fisher J. Metabolite profiling in the pursuit of bi-omarkers for IVF outcome: the case for metabolomics studies. Int. J. Reprod. Med. 2013; 2013: 603167. https://dx.doi.org/10.1155/2013/603167.
  13. Wishart D.S. Metabolomics: the principles and potential applications to transplantation. Am. J. Transplant. 2005; 5(12): 2814-20. https://dx.doi.org/10.1111/j.1600-6143.2005.01119.x.
  14. Karaer A., Tuncay G., Mumcu A., Dogan B. Metabolomics analysis of follicular fluid in women with ovarian endometriosis undergoing in vitro fertilization. Syst. Biol. Reprod. Med. 2019; 65(1): 39-47. https://dx.doi.org/10.1080/19396368.2018.1478469.
  15. Revelli A., Delle Piane L., Casano S., Molinari E., Massobrio M., Rinaudo P. Follicular fluid content and oocyte quality: from single biochemical markers to metabolomics. Reprod. Biol. Endocrinol. 2009; 7 :40. https://dx.doi.org/10.1186/1477-7827-7-40.
  16. Botero-Ruiz W., Laufer N., DeCherney A.H., Polan M.L., Haseltine F.P., Behrman H.R. The relationship between follicular fluid steroid concentration and successful fertilization of human oocytes in vitro. Fertil. Steril. 1984; 41(6): 820-6. https://dx.doi.org/10.1016/s0015-0282(16)47892-1.
  17. Tarlatzis B.C., Laufer N., DeCherney A.H., Polan M.L., Haseltine F.P., Behrman H.R. Adenosine 3',5'-monophosphate levels in human follicular fluid: relationship to oocyte maturation and achievement of pregnancy after in vitro fertilization. J. Clin. Endocrinol. Metab. 1985; 60(6): 1111-5. https://dx.doi.org/10.1210/jcem-60-6-1111.
  18. Ben-Rafael Z., Meloni F., Strauss J.F. 3rd, Blasco L., Mastroianni L. Jr., Flickinger G.L. Relationships between polypronuclear fertilization and follicular fluid hormones in gonadotropin-treated women. Fertil. Steril. 1987; 47(2):284-8. https://dx.doi.org/10.1016/s0015-0282(16)50007-7.
  19. Asimakopoulos B., Abu-Hassan D., Metzen E., Al-Hasani S., Diedrich K., Nikolettos N. The levels of steroid hormones and cytokines in individual follicles are not associated with the fertilization outcome after intracytoplasmic sperm injection. Fertil. Steril. 2008; 90(1): 60-4. https://dx.doi.org/10.1016/j.fertnstert.2007.05.054.
  20. Mendoza C., Ruiz-Requena E., Ortega E., Cremades N., Martinez F., Bernabeu R. et al. Follicular fluid markers of oocyte developmental potential. Hum. Reprod. 2002; 17(4): 1017-22. https://dx.doi.org/10.1093/humrep/17.4.1017.
  21. Lee M.S., Ben-Rafael Z., Meloni F., Mastroianni L. Jr., Flickinger G.L. Rela-tionship of human oocyte maturity, fertilization, and cleavage to follicular fluid prolactin and steroids. J. In Vitro Fert. Embryo Transf. 1987; 4(3):168-72. https://dx.doi.org/10.1007/BF01555465.
  22. Reinthaller A., Deutinger J., Riss P., Müller-Tyl E., Fischl F., Bieglmayer C. et al. Relationship between the steroid and prolactin concentration in follicular fluid and the maturation and fertilization of human oocytes. J. In Vitro Fert. Embryo Transf. 1987; 4(4): 228-31. https://dx.doi.org/10.1007/BF01533761.
  23. Messinis I.E., Templeton A.A. Relationship between intrafollicular levels of prolactin and sex steroids and in-vitro fertilization of human oocytes. Hum. Reprod. 1987; 2(7): 607-9. https://dx.doi.org/10.1093/oxfordjournals.humrep.a136598.
  24. Oda T., Yoshimura Y., Izumi Y., Yoshimura S., Hara T., Takehara Y. et al. The effect of the follicular fluid adenosine 3',5'-monophosphate degradation rate on successful fertilization and cleavage of human oocytes. J. Clin. Endocrinol. Metab. 1990; 71(1): 116-21. https://dx.doi.org/10.1210/jcem-71-1-116.
  25. Rosenbusch B., Djalali M., Sterzik K. Is there any correlation between follicular fluid hormone concentrations, fertilizability, and cytogenetic analysis of human oocytes recovered for in vitro fertilization? Fertil. Steril. 1992; 57(6): 1358-60. https://dx.doi.org/10.1016/s0015-0282(16)55105-x.
  26. Wallace M., Cottell E., Gibney M.J., McAuliffe F.M., Wingfield M., Brennan L. An investigation into the relationship between the metabolic profile of follicular fluid, oocyte developmental potential, and implantation outcome. Fertil. Steril. 2012; 97(5): 1078-84.e1-8. https://dx.doi.org/10.1016/j.fertnstert.2012.01.122.
  27. Singh R., Sinclair K.D. Metabolomics: approaches to assessing oocyte and embryo quality. Theriogenology. 2007; 68(Suppl. 1): S56-62. https://dx.doi.org/10.1016/j.theriogenology.2007.04.007.
  28. Song J., Xiang S., Pang C., Guo J., Sun Z. Metabolomic alternations of follicu-lar fluid of obese women undergoing in-vitro fertilization treatment. Sci. Rep. 2020; 10(1): 5968. https://dx.doi.org/10.1038/s41598-020-62975-z.
  29. Rice S., Christoforidis N., Gadd C., Nikolaou D., Seyani L., Donaldson A. et al. Impaired insulin-dependent glucose metabolism in granulosa-lutein cells from anovulatory women with polycystic ovaries. Hum. Reprod. 2005; 20(2): 373-81. https://dx.doi.org/10.1093/humrep/deh609.
  30. Cordeiro F.B., Cataldi T.R., da Costa L., de Souza B.Z., Montani D.A. et al. Metabolomic profiling in follicular fluid of patients with infertility-related deep endometriosis. Metabolomics. 2017; 13: 120. https://dx.doi.org/10.1007/s11306-017-1262-3.
  31. Hulas-Stasiak M., Gawron A. Follicular atresia in the prepubertal spiny mouse (Acomys cahirinus) ovary. Apoptosis. 2011; 16(10): 967-75. https://dx.doi.org/10.1007/s10495-011-0626-9.
  32. Zhang X., Wang T., Song J., Deng J., Sun Z. Study on follicular fluid metabolomics components at different ages based on lipid metabolism. Reprod. Biol. Endocrinol. 2020; 18(1): 42. https://dx.doi.org/10.1186/s12958-020-00599-8.
  33. Montani D.A., Braga D.P.A.F., Borges E. Jr., Camargo M., Cordeiro F.B., Pilau E.J. et al. Understanding mechanisms of oocyte development by follicular fluid lipidomics. J. Assist. Reprod. Genet. 2019; 36(5): 1003-11. https://dx.doi.org/10.1007/s10815-019-01428-7.
  34. Dogan B., Karaer A., Tuncay G., Tecellioglu N., Mumcu A. High-resolution 1H-NMR spectroscopy indicates variations in metabolomics profile of follicular fluid from women with advanced maternal age. J. Assist. Reprod. Genet. 2020; 37(2): 321-30. https://dx.doi.org/10.1007/s10815-020-01693-x.
  35. Pacella L., Zander-Fox D.L., Armstrong D.T., Lane M. Women with reduced ovarian reserve or advanced maternal age have an altered follicular environment. Fertil. Steril. 2012; 98(4): 986-94.e1-2. https://dx.doi.org/10.1016/j.fertnstert.2012.06.025.
  36. de la Barca J.M.C., Boueilh T., Simard G., Boucret L., Ferré-L'Hotellier V., Tessier L. et al. Targeted metabolomics reveals reduced levels of polyunsaturated choline plasmalogens and a smaller dimethylarginine/arginine ratio in the follicular fluid of patients with a diminished ovarian reserve. Hum. Reprod. 2017; 32(11): 2269-78. https://dx.doi.org/10.1093/humrep/dex303.
  37. Maeba R., Maeda T., Kinoshita M., Takao K., Takenaka H., Kusano J. et al. Plasmalogens in human serum positively correlate with high-density lipoprotein and decrease with aging. J. Atheroscler. Thromb. 2007; 14(1): 12-8. https://dx.doi.org/10.5551/jat.14.12.
  38. Bedaiwy M.A., Elnashar S.A., Goldberg J.M., Sharma R., Mascha E.J., Arrigain S. et al. Effect of follicular fluid oxidative stress parameters on intracytoplasmic sperm injection outcome. Gynecol. Endocrinol. 2012; 28(1): 51-5. https://dx.doi.org/10.3109/09513590.2011.579652.
  39. de los Santos M.J., García-Láez V., Beltrán-Torregrosa D., Horcajadas J.A., Martínez-Conejero J.A., Esteban F.J. et al. Hormonal and molecular characterization of follicular fluid, cumulus cells and oocytes from preovulatory follicles in stimulated and unstimulated cycles. Hum. Reprod. 2012; 27(6):1596-605. https://dx.doi.org/10.1093/humrep/des082.
  40. Enien W.M., el Sahwy S., Harris C.P., Seif M.W., Elstein M. Human chorionic gonadotrophin and steroid concentrations in follicular fluid: the relationship to oocyte maturity and fertilization rates in stimulated and natural in vitro fertilization cycles. Hum. Reprod. 1995; 10(11): 2840-4. https://dx.doi.org/10.1093/oxfordjournals.humrep.a135804.
  41. Xia L., Zhao X., Sun Y., Hong Y., Gao Y., Hu S. Metabolomic profiling of human follicular fluid from patients with repeated failure of in vitro fertilization using gas chromatography/mass spectrometry. Int. J. Clin. Exp. Pathol. 2014; 7(10): 7220-9.

Received 31.05.2021

Accepted 15.06.2021

About the Authors

Alexandra A. Gaponenko, post-graduate student, F. Paulsen Research and Clinical Department for Assisted Reproductive Technologies, V.I. Kulakov National Medical
Research Center for Obstetrics, Gynecology and Perinatology, Ministry of Healthcare of the Russian Federation, +7(926)700-44-14, sasha.gap@mail.ru,
117997, Russia, Moscow, Ac. Oparin str., 4.
Elena V. Mityurina, PhD, Senior Researcher, F. Paulsen Research and Clinical Department for Assisted Reproductive Technologies, V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Ministry of Healthcare of the Russian Federation, +7(964)796-74-65, mity-elena@yandex.ru,
117997, Russia, Moscow, Ac. Oparin str., 4.
Vladimir E. Frankevich, PhD, Head of the Department of Systemic Biology in Reproduction, V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Ministry of Healthcare of the Russian Federation, +7(495)438-07-88, v_frankevich@oparina4.ru, 117997, Russia, Moscow, Ac. Oparin str., 4.

Authors’contributions: Gaponenko A.A., Mityurina E.V., Frankevich V.E. – development of the concept and design of the investigation; obtaining the findings for analysis; review of publications on the topic of the article; analysis of the findings; writing the text of the manuscript.
Conflicts of interest: The authors declare that there are no conflicts of interest.
Funding: The investigation has not been sponsored.
For citation: Gaponenko A.A., Mityurina E.V., Frankevich V.E. The follicular fluid metabolomic profile as a marker for oocyte quality in assisted reproductive technology programs.
Akusherstvo i Ginekologiya/Obstetrics and Gynecology. 2021; 11: 26-31 (in Russian)
https://dx.doi.org/10.18565/aig.2021.11.26-31

Similar Articles

№5 / 2023
Gasanbekova A.P., Frankevich N.A., Frankevich V.E.
Intrauterine malformation: metabolomics as a new approach to solving the old problem
№3 / 2023
Charaeva A.V., Makarova N.P., Drapkina Yu.S., Kalinina E.A.
New advances in understanding the molecular mechanisms of human embryo implantation in in vitro fertilization programs
№7 / 2023
Timofeeva A.V., Fedorov I.S., Gokhberg Ya.A., Kalinina E.A.
Evaluation of endometrial receptivity using the level of small non-coding RNAs in uterine aspirate from women undergoing cyclic hormone therapy
№5 / 2023
Nikitina N.A., Sidorova I.S., Ziganshin R.Kh., Kir'yanova M.A., Ageev M.B.
Plasma proteome cluster analysis in pregnant women with preeclampsia
№7 / 2023
Zabrodina Yu.V., Akhmediyanova G.U., Khamidullina Z.G.
Use of platelet-rich autoplasma in the assisted reproductive technology programs
By continuing to use our site, you consent to the processing of cookies that ensure the proper functioning of the site.