Skip to main content
Log in

1H NMR based profiling of spent culture media cannot predict success of implantation for day 3 human embryos

  • Technological Innovations
  • Published:
Journal of Assisted Reproduction and Genetics Aims and scope Submit manuscript

Abstract

Background

Identification of a non-invasive technique to assess embryo implantation potential in assisted reproduction would greatly increase success rates and lead more efficiently to single embryo transfer. Early studies suggested metabonomic analysis of spent culture media could improve embryo selection. The goal of this study is to assess if embryo implantation can be predicted based on proton nuclear magnetic resonance (1H NMR) profiles of spent embryo culture media from patients undergoing transfer of multiple embryos on cycle day 3.

Method

We conducted a retrospective study in an academic assisted reproduction technology (ART) program and analyzed the data in a university research center. Two hundred twenty-eight spent culture media samples originating from 108 patients were individually analyzed. Specifically, five distinct sets (1 to 5) of different types of spent media samples (volume ~14 μL) from embryos that resulted in clinical pregnancy (positive heart rate at 6 weeks gestation) (n 1 = 29; n 2 = 19; n 3 = 9; n 4 = 12; n 5 = 33; n total = 102) and from embryos that did not implant (n 1 = 28; n 2 = 29; n 3 = 18; n 4 = 15; n 5 = 36; n total = 126) were collected on day 3 of embryo growth. The media samples were profiled using 1H NMR spectroscopy, and the NMR profiles of sets 1 to 5 were subject to standard uni- and multi-variate data analyses in order to evaluate potential correlation of profiles with implantation success.

Results

For set 1 of the media samples, a borderline class separation of NMR profiles was obtained by use of principal component analysis (PCA) and logistic regression. This tentative class separation could not be repeated and validated in any of the other media sets 2 to 5.

Conclusions

Despite the rigorous technical approach, 1H NMR based profiling of spent culture media cannot predict success of implantation for day 3 human embryos.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. 2009 Guidelines on number of embryos transferred. Fertil Steril. 92 1518–9.

  2. Adler W, Brenning A, Patapov S, Schmid M, Lausen B. Ensemble classification of paired data. Comput Stat Data Anal. 2011;55:1933–41.

    Article  Google Scholar 

  3. Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc Ser B (Methodological). 1995;57:289–300.

    Google Scholar 

  4. Blake DA, Farquhar CM, Johnson N, Proctor M. Cleavage stage versus blastocyst stage embryo transfer in assisted conception. Cochrane Database Syst Rev. 2007;CD002118.

  5. Conaghan J, Hardy K, Handyside AH, Winston RM, Leese HJ. Selection criteria for human embryo transfer: a comparison of pyruvate uptake and morphology. J Assist Reprod Genet. 1993;10:21–30.

    Article  PubMed  CAS  Google Scholar 

  6. Frattarelli JL, Leondires MP, McKeeby JL, Miller BT, Segars JH. Blastocyst transfer decreases multiple pregnancy rates in in vitro fertilization cycles: a randomized controlled trial. Fertil Steril. 2003;79:228–30.

    Article  PubMed  Google Scholar 

  7. Garcia E, Andrews C, Hua J, Kim HL, Sukumaran DK, Szyperski T, Odunsi K. Diagnosis of early stage ovarian cancer by 1H NMR metabonomics of serum explored by use of a microflow NMR probe. J Proteome Res. 2011;10:1765–71.

    Article  PubMed  CAS  Google Scholar 

  8. Gardner DK, Lane M, Stevens J, Schoolcraft WB. Noninvasive assessment of human embryo nutrient consumption as a measure of developmental potential. Fertil Steril. 2001;76:1175–80.

    Article  PubMed  CAS  Google Scholar 

  9. Gardner DK, Wale PL, Collins R, Lane M. Glucose consumption of single post-compaction human embryos is predictive of embryo sex and live birth outcome. Hum Reprod. 2011;26:1981–6.

    Article  PubMed  CAS  Google Scholar 

  10. Grady R, Alavi N, Vale R, Khandwala M, McDonald SD. Elective single embryo transfer and perinatal outcomes: a systematic review and meta-analysis. Fertil Steril. 2012;97:324–31.

    Article  PubMed  Google Scholar 

  11. Hardarson T, Ahlstrom A, Rogberg L, Botros L, Hillensjo T, Westlander G, Sakkas D, Wikland M. Non-invasive metabolomic profiling of Day 2 and 5 embryo culture medium: a prospective randomized trial. Hum Reprod. 2012;27:89–96.

    Article  PubMed  CAS  Google Scholar 

  12. Janvier A, Spelke B, Barrington KJ. The epidemic of multiple gestations and neonatal intensive care unit use: the cost of irresponsibility. J Pediatr. 2011;159:409–13.

    Article  PubMed  Google Scholar 

  13. Kallen B, Finnstrom O, Lindam A, Nilsson E, Nygren KG, Olausson PO. Blastocyst versus cleavage stage transfer in in vitro fertilization: differences in neonatal outcome? Fertil Steril. 2010;94:1680–3.

    Article  PubMed  Google Scholar 

  14. Kawachiya S, Bodri D, Shimada N, Kato K, Takehara Y, Kato O. Blastocyst culture is associated with an elevated incidence of monozygotic twinning after single embryo transfer. Fertil Steril. 2011;95:2140–2.

    Article  PubMed  Google Scholar 

  15. Lindon JC, Nicholson JK, Holmes E. The Handbook of metabonomics and metabolomics. Amsterdam: Elsevier; 2007.

    Google Scholar 

  16. Mastenbroek S, van der Veen F, Aflatoonian A, Shapiro B, Bossuyt P, Repping S. Embryo selection in IVF. Hum Reprod. 2011;26:964–6.

    Article  PubMed  Google Scholar 

  17. Nel-Themaat L, Nagy ZP. A review of the promises and pitfalls of oocyte and embryo metabolomics. Placenta. 2011;32 Suppl 3:S257–63.

    Article  PubMed  CAS  Google Scholar 

  18. Pudakalakatti SM, Uppangala S, D’Souza F, Kalthur G, Kumar P, Adiga SK, Atreya HS. NMR studies of preimplantation embryo metabolism in human assisted reproductive techniques: a new biomarker for assessment of embryo implantation potential. NMR Biomed. 2012

  19. Racowsky C, Vernon M, Mayer J, Ball GD, Behr B, Pomeroy KO, Wininger D, Gibbons W, Conaghan J, Stern JE. Standardization of grading embryo morphology. Fertil Steril. 2010;94:1152–3.

    Article  PubMed  Google Scholar 

  20. Reh A, Fino E, Krey L, Berkeley A, Noyes N, Grifo J. Optimizing embryo selection with day 5 transfer. Fertil Steril. 2010;93:609–15.

    Article  PubMed  CAS  Google Scholar 

  21. 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.

    Article  PubMed  Google Scholar 

  22. Rijnders PM, Jansen CA. The predictive value of day 3 embryo morphology regarding blastocyst formation, pregnancy and implantation rate after day 5 transfer following in-vitro fertilization or intracytoplasmic sperm injection. Hum Reprod. 1998;13:2869–73.

    Article  PubMed  CAS  Google Scholar 

  23. Rosen MP, Zamah AM, Shen S, Dobson AT, McCulloch CE, Rinaudo PF, Lamb JD, Cedars MI. The effect of follicular fluid hormones on oocyte recovery after ovarian stimulation: FSH level predicts oocyte recovery. Reprod Biol Endocrinol. 2009;7:35.

    Article  PubMed  Google Scholar 

  24. Schervish M. A review of multivariate analysis. Stat Sci. 1987;2:396–413.

    Article  Google Scholar 

  25. Scott R, Seli E, Miller K, Sakkas D, Scott K, Burns DH. Noninvasive metabolomic profiling of human embryo culture media using Raman spectroscopy predicts embryonic reproductive potential: a prospective blinded pilot study. Fertil Steril. 2008;90:77–83.

    Article  PubMed  Google Scholar 

  26. Seli E, Botros L, Sakkas D, Burns DH. Noninvasive metabolomic profiling of embryo culture media using proton nuclear magnetic resonance correlates with reproductive potential of embryos in women undergoing in vitro fertilization. Fertil Steril. 2008;90:2183–9.

    Article  PubMed  Google Scholar 

  27. Seli E, Bruce C, Botros L, Henson M, Roos P, Judge K, Hardarson T, Ahlstrom A, Harrison P, Henman M, Go K, Acevedo N, Siques J, Tucker M, Sakkas D. Receiver operating characteristic (ROC) analysis of day 5 morphology grading and metabolomic Viability Score on predicting implantation outcome. J Assist Reprod Genet. 2011;28:137–44.

    Article  PubMed  Google Scholar 

  28. Seli E, Sakkas D, Scott R, Kwok SC, Rosendahl SM, Burns DH. Noninvasive metabolomic profiling of embryo culture media using Raman and near-infrared spectroscopy correlates with reproductive potential of embryos in women undergoing in vitro fertilization. Fertil Steril. 2007;88:1350–7.

    Article  PubMed  Google Scholar 

  29. Sukumaran DK, Garcia E, Hua J, Tabaczynski W, Odunsi K, Andrews C, Szyperski T. Standard operating procedure for metabonomics studies of blood serum and plasma samples using a 1H-NMR micro-flow probe. Magn Reson Chem. 2009;47 Suppl 1:S81–5.

    Article  PubMed  CAS  Google Scholar 

  30. Varmuza K, Filzmoser P. Introduction to multivariate statistical analysis in chemometrics. Boca Raton: CRC Press; 2009.

    Book  Google Scholar 

  31. Vergouw CG, Botros LL, Judge K, Henson M, Roos P, Hanna Kostelijk E, Schats R, Twisk JW, Hompes PG, Sakkas D, Lambalk CB. Non-invasive viability assessment of day-4 frozen-thawed human embryos using near infrared spectroscopy. Reprod Biomed Online. 2011;23:769–76.

    Article  PubMed  Google Scholar 

  32. Vergouw CG, Botros LL, Roos P, Lens JW, Schats R, Hompes PG, Burns DH, Lambalk CB. Metabolomic profiling by near-infrared spectroscopy as a tool to assess embryo viability: a novel, non-invasive method for embryo selection. Hum Reprod. 2008;23:1499–504.

    Article  PubMed  CAS  Google Scholar 

  33. Vergouw CG, Kieslinger DC, Kostelijk EH, Hompes PG, Schats R & Lambalk CB. Metabolomic profiling of culture media by near infrared spectroscopy as an adjunct to morphology for selection of a single day 3 embryo to transfer in Ivf: a double blind randomised trial. In American Society of Reproductive Medicine O:7, 2011.

  34. Wright VC, Chang J, Jeng G, Macaluso M. Assisted reproductive technology surveillance–United States, 2005. MMWR Surveill Summ. 2008;57:1–23.

    PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Paolo Rinaudo or Thomas Szyperski.

Additional information

Capsule 1HNMR media profiling does not predict embryo implantation.

Support: NICHD-R21: HD054956-01A2 (to PR, SS, and TS)

Electronic Supplementary Material

Below is the link to the electronic supplementary material.

Supplemental Figure 1

Carr-Purcell-Meiboom-Gill (CPMG) 1D 1H NMR spectrum recorded on an INOVA 600 spectrometer equipped with a PROTASIS micro-flow probe for a media specimen (G1.3 medium with HSA) of an embryo that implanted into the uterus. The CPMG procedure eliminates signals arising from biological macromolecules so that only the resonance lines of the low molecular weight metabolites are registered. Chemical shifts are relative to 2,2-Dimethyl-2-silapentane-5-sulfonic acid. The left upper corner insert represents an expansion of the boxed part of the spectrum. Selected resonance assignments of metabolites are indicated: Ala-Gln: Alanyl-Gutamine, Asp: Aspartate, Cit: Citrate, Glu: Glucose, Pro: Proline, Pyr: Pyruvate, Tau: Taurine. Some of the resonance lines of compounds that have thus far not been identified are located in the downfield spectral region between 6 and 9 ppm. (DOC 285 kb)

Rights and permissions

Reprints and permissions

About this article

Cite this article

Rinaudo, P., Shen, S., Hua, J. et al. 1H NMR based profiling of spent culture media cannot predict success of implantation for day 3 human embryos. J Assist Reprod Genet 29, 1435–1442 (2012). https://doi.org/10.1007/s10815-012-9877-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10815-012-9877-9

Keywords

Navigation