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Implication of Novel BMP15 and GDF9 Variants in Unexpected Poor Ovarian Response

  • Reproductive Genetics: Original Article
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Abstract

Unexpected poor ovarian response (UPOR) occurs when nine or fewer oocytes are retrieved from a young patient with normal ovarian reserve. Bone morphogenetic protein15 (BMP15) and growth differentiation factor 9 (GDF9) are two oocyte-specific factors with pivotal role in folliculogenesis. The aim of this study was to assess the relation between BMP15 and GDF9 variants with UPOR. Hundred women aged ≤ 39 with AMH ≥ 1.27 IU/ml participated as UPOR and normal ovarian responders (NOR) based on their oocyte number. Each group consisted of 50 patients. After genomic DNA extraction, the entire exonic regions of BMP15 and GDF9 were amplified and examined by direct sequencing. Western blotting was performed to determine the expression levels of BMP15 and GDF9 in follicular fluid. Additionally, in silico analysis was applied to predict the effect of discovered mutations. From four novel variants of BMP15 and GDF9 genes, silent mutations (c.744 T > C) and (c.99G > A) occurred in both groups, whereas missense variants: c.967-968insA and c.296A > G were found exclusively in UPORs. The latter variants caused reduction in protein expression. Moreover, the mutant allele (T) in a GDF9 polymorphism (C447T) found to be more in NOR individuals (58% NOR vs. 37% UPOR (OR = 2.3, CI 1.32–4.11, p = 0.004).

The novel missense mutations which were predicted as damaging, along with other mutations that happened in UPORs might result in ovarian resistance to stimulation. The mutant allele (T) in C447T polymorphism has a protective effect. It can be concluded that there is an association between BMP15 and GDF9 variants and follicular development and ovarian response.

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Data Availability

The data that support the findings of this study are available from the corresponding author on request.

References

  1. Ferraretti AP, La Marca A, Fauser BCJM, 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.

    Article  CAS  PubMed  Google Scholar 

  2. Sunkara SK, Rittenberg V, Raine-Fenning N, Bhattacharya S, Zamora J, Coomarasamy A. Association between the number of eggs and live birth in IVF treatment: an analysis of 400 135 treatment cycles. Hum Reprod. 2011;26(7):1768–74.

    Article  PubMed  Google Scholar 

  3. Hendriks DJ, Te Velde ER, Looman CWN, Bancsi LFJMM, Broekmans FJM. Expected poor ovarian response in predicting cumulative pregnancy rates: a powerful tool. Reprod Biomed Online. 2008;17(5):727–36.

    Article  PubMed  Google Scholar 

  4. Reynolds KA, Rhee JS, Jimenez PT, Omurtag KR, Tuuli MG, Jungheim ES. Reply: Poor ovarian responders: to meta-analyse or not, that is the question. Hum Reprod. 2014;29(3):635–6.

    Article  CAS  PubMed  Google Scholar 

  5. Younis JS, Ben-Ami M, Ben-Shlomo I. The Bologna criteria for poor ovarian response: a contemporary critical appraisal. J Ovarian Res. 2015;8:76. https://doi.org/10.1186/s13048-015-0204-9.

  6. Alviggi C, et al. A new more detailed stratification of low responders to ovarian stimulation: from a poor ovarian response to a low prognosis concept. Fertil Steril. 2016;105(6):1452–3.

    Article  PubMed  Google Scholar 

  7. Humaidan P, Alviggi C, Fischer R, Esteves SC. The novel POSEIDON stratification of ‘Low prognosis patients in Assisted Reproductive Technology’ and its proposed marker of successful outcome. F1000Res. 2016;5:2911. https://doi.org/10.12688/f1000research.10382.1.

  8. Alviggi C, et al. Clinical relevance of genetic variants of gonadotrophins and their receptors in controlled ovarian stimulation: a systematic review and meta-analysis. Hum Reprod Update. 2018;24(5):599–614.

    Article  CAS  PubMed  Google Scholar 

  9. Drakopoulos P, et al. Conventional ovarian stimulation and single embryo transfer for IVF/ICSI. How many oocytes do we need to maximize cumulative live birth rates after utilization of all fresh and frozen embryos? Hum Reprod. 2016;31(2):370–6.

    PubMed  Google Scholar 

  10. Van Tilborg TC, et al. Individualized versus standard FSH dosing in women starting IVF/ICSI: an RCT. Part 1: The predicted poor responder. Hum Reprod. 2017;32(12):2496–505.

    Article  PubMed  Google Scholar 

  11. Liu MN, Zhang K, Xu TM. The role of BMP15 and GDF9 in the pathogenesis of primary ovarian insufficiency. Hum Fertil. 2021;24(5):325–32.

  12. Morón FJ, et al. Bone morphogenetic protein 15 (BMP15) alleles predict over-response to recombinant follicle stimulation hormone and iatrogenic ovarian hyperstimulation syndrome (OHSS). Pharmacogenet Genomics. 2006;16(7):485–95.

    Article  PubMed  Google Scholar 

  13. De Castro FC, Cruz MHC, Leal CLV. Role of Growth differentiation factor 9 and bone morphogenetic protein 15 in ovarian function and their importance in mammalian female fertility - a review. Asian-Australasian J Anim Sci. 2016;29(8):1065–74.

    Article  Google Scholar 

  14. Sanfins A, Rodrigues P, Albertini DF. GDF-9 and BMP-15 direct the follicle symphony. J Assist Reprod Genet. 2018;35(10):1741–50.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Mottershead DG, et al. Characterization of recombinant human growth differentiation factor-9 signaling in ovarian granulosa cells. Mol Cell Endocrinol. 2008;283(1–2):58–67.

    Article  CAS  PubMed  Google Scholar 

  16. Paulini F, Melo EO. The role of oocyte-secreted factors GDF9 and BMP15 in follicular development and oogenesis. Reprod Domest Anim. 2011;46(2):354–61.

    Article  CAS  PubMed  Google Scholar 

  17. Peng J, et al. Growth differentiation factor 9:bone morphogenetic protein 15 heterodimers are potent regulators of ovarian functions. Proc Natl Acad Sci U S A. 2013;110:8.

    Article  Google Scholar 

  18. Mottershead DG, et al. Cumulin, an oocyte-secreted heterodimer of the transforming growth factor-β family, is a potent activator of granulosa cells and improves oocyte quality. J Biol Chem. 2015;290(39):24007–20.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Gilchrist RB, Lane M, Thompson JG. Oocyte-secreted factors: regulators of cumulus cell function and oocyte quality. Hum Reprod Update. 2008;14(2):159–77.

    Article  CAS  PubMed  Google Scholar 

  20. Sugimura S, Ritter LJ, Sutton-McDowall ML, Mottershead DG, Thompson JG, Gilchrist RB. Amphiregulin co-operates with bone morphogenetic protein 15 to increase bovine oocyte developmental competence: effects on gap junction-mediated metabolite supply. Mol Hum Reprod. 2014;20(6):499–513.

    Article  CAS  PubMed  Google Scholar 

  21. Laissue P, et al. Mutations and sequence variants in GDF9 and BMP15 in patients with premature ovarian failure. Eur J Endocrinol. 2006;154(5):739–44.

    Article  CAS  PubMed  Google Scholar 

  22. Otsuka F, McTavish KJ, Shimasaki S. Integral role of GDF-9 and BMP-15 in ovarian function. Mol Reprod Dev. 2011;78(1):9–21.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Dong J, Albertini DF, Nishimori K, Kumar TR, Lu N, Matzuk MM. Growth differentiation factor-9 is required during early ovarian folliculogenesis. Nature. 1996;383(6600):531–5.

    Article  ADS  CAS  PubMed  Google Scholar 

  24. Kumar R, Alwani M, Kosta S, Kaur R, Agarwal S. BMP15 and GDF9 gene mutations in premature ovarian failure. J Reprod Infertil. 2017;18(1):185–9.

    PubMed  PubMed Central  Google Scholar 

  25. Jaillard S, et al. New insights into the genetic basis of premature ovarian insufficiency: novel causative variants and candidate genes revealed by genomic sequencing. Maturitas. 2020;141:9–19.

    Article  CAS  PubMed  Google Scholar 

  26. França MM, et al. Identification of the first homozygous 1-bp deletion in GDF9 gene leading to primary ovarian insufficiency by using targeted massively parallel sequencing. Clin Genet. 2018;93(2):408–11.

    Article  ADS  PubMed  Google Scholar 

  27. Di Pasquale E, Beck-Peccoz P, Persani L. Hypergonadotropic ovarian failure associated with an inherited mutation of human bone morphogenetic protein-15 (BMP15) gene. Am J Hum Genet. 2004;75:106–11.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Tiotiu D, Mercadal B, Imbert R. Variants of the BMP15 gene in a cohort of patients with premature ovarian failure. Hum Reprod. 2010;25:1581–7.

    Article  CAS  PubMed  Google Scholar 

  29. Wu YT, Wang TT, Chen XJ, et al. Bone morphogenetic protein-15 in follicle fluid combined with age may differentiate between successful and unsuccessful poor ovarian responders. Reprod Biol Endocrinol. 2012;10:116. https://doi.org/10.1186/1477-7827-10-116.

  30. Wu YT, et al. High bone morphogenetic protein-15 level in follicular fluid is associated with high quality oocyte and subsequent embryonic development. Hum Reprod. 2007;22(6):1526–31.

    Article  CAS  PubMed  Google Scholar 

  31. Van Royen E, et al. Characterization of a top quality embryo, a step towards single-embryo transfer. Hum Reprod. 1999;14(9):2345–9.

    Article  PubMed  Google Scholar 

  32. Takebayashi K, Takakura K, Wang H, Kimura F, Kasahara K, Noda Y. Mutation analysis of the growth differentiation factor-9 and -9B genes in patients with premature ovarian failure and polycystic ovary syndrome. Fertil Steril. 2000;74(5):976–9.

    Article  CAS  Google Scholar 

  33. Liu J, et al. Mutational analysis of human bone morphogenetic protein 15 in Chinese women with polycystic ovary syndrome. Metabolism. 2011;60(11):1511–4.

    Article  CAS  PubMed  Google Scholar 

  34. Ma L, et al. Single nucleotide polymorphisms in premature ovarian failure-associated genes in a Chinese Hui population. Mol Med Rep. 2015;12(2):2529–38.

    Article  MathSciNet  CAS  PubMed  PubMed Central  Google Scholar 

  35. Adzhubei I, Jordan DM, Sunyaev SR. Predicting functional effect of human missense mutations using PolyPhen-2. Curr Protoc Hum Genet. 2013;76:7.20.1-7.20.41. https://doi.org/10.1002/0471142905.hg0720s76.

  36. Duffy DM. Growth differentiation factor-9 is expressed by the primate follicle throughout the periovulatory interval. Biol Reprod. 2003;69(2):725–32.

    Article  CAS  PubMed  Google Scholar 

  37. Dixit H, et al. Mutational screening of the coding region of growth differentiation factor 9 gene in Indian women with ovarian failure. Menopause. 2005;12(6):749–54.

    Article  PubMed  Google Scholar 

  38. Chand A, Ponnampalam A, Harris S, Winship I, Shelling A. Mutational analysis of BMP15 and GDF9 as candidate genes for premature ovarian failure. Fertil Steril. 2006;86(4):1009–12.

    Article  CAS  PubMed  Google Scholar 

  39. Bilibio JP, Meireles AJ, De Conto E, Lorenzzoni PL, do Nascimento FC, da Cunha-Filho JS. GDF9 polymorphisms: influence on ovarian response in women undergoing controlled ovarian hyperstimulation. J Bras Reprod Assist. 2020;24(4):447–53.

  40. Hanevik HI, Hilmarsen HT, Skjelbred CF, Tanbo T, Kahn JA. A single nucleotide polymorphism in BMP15 is associated with high response to ovarian stimulation. Reprod Biomed Online. 2011;23(1):97–104.

    Article  CAS  PubMed  Google Scholar 

  41. Zhuang J, Li H, Li X, Tian D, Yang D, Zhu M. The incidence of unexpected poor ovarian response in Chinese young women. Med. (Baltimore). 2019;98(7):e14379.

  42. Liu L, et al. Infertility caused by retardation of follicular development in mice with oocyte-specific expression of Foxo3a. Development. 2007;134(1):199–209.

    Article  CAS  PubMed  Google Scholar 

  43. Patino LC, et al. BMP15 mutations associated with primary ovarian insufficiency reduce expression, activity, or synergy with gdf9. J Clin Endocrinol Metab. 2017;102(3):1009–19.

    PubMed  Google Scholar 

  44. Dixit H, et al. Missense mutations in the BMP15 gene are associated with ovarian failure. Hum Genet. 2006;119(4):408–15.

    Article  CAS  PubMed  Google Scholar 

  45. Vanyan R, Dolgushina N, Donnikov A. Single nucleotide polymorphisms of BMP15 are associated with poor ovarian response in in vitro fertilization programs. JFIV Reprod Med Genet. 2015;3(4):1–4.

  46. Di Pasquale E, et al. Identification of new variants of human BMP15 gene in a large cohort of women with premature ovarian failure. J Clin Endocrinol Metab. 2006;91:1976–9.

    Article  PubMed  Google Scholar 

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Correspondence to Zahra Zandieh.

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Mehdizadeh, A., Soleimani, M., Amjadi, F. et al. Implication of Novel BMP15 and GDF9 Variants in Unexpected Poor Ovarian Response. Reprod. Sci. 31, 840–850 (2024). https://doi.org/10.1007/s43032-023-01370-1

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