Hostname: page-component-8448b6f56d-tj2md Total loading time: 0 Render date: 2024-04-23T20:07:27.968Z Has data issue: false hasContentIssue false

Detailed analysis of cytoplasmic strings in human blastocysts: new insights

Published online by Cambridge University Press:  17 November 2022

Jessica Eastick*
Affiliation:
IVFAustralia, New South Wales, Australia University of New South Wales, New South Wales, Australia
Christos Venetis
Affiliation:
IVFAustralia, New South Wales, Australia University of New South Wales, New South Wales, Australia
Simon Cooke
Affiliation:
IVFAustralia, New South Wales, Australia University of New South Wales, New South Wales, Australia
Michael Chapman
Affiliation:
IVFAustralia, New South Wales, Australia University of New South Wales, New South Wales, Australia
*
Author for correspondence: IVFAustralia PO Box 417 New Lambton, New South Wales, 2305 Australia. E-mail: Jessica.eastick@hunterivf.com.au

Summary

The aim of this study was to determine if there was an association between the presence of cytoplasmic strings (CS) and their characteristics, with blastocyst quality, development and clinical outcome in human blastocysts. This two-centre cohort study was performed between July 2017 and September 2018 and involved a total of 1152 blastocysts from 225 patients undergoing in vitro fertilization (IVF) and intracytoplasmic sperm injection (ICSI). All embryos were cultured in Embryoscope+ and were assessed for CS using time-lapse images. A single assessor examined all blastocysts and reviewed videos using the EmbyroViewer® Software. Blastocyst quality was assessed on day 5 of embryo development. The number of CS, location and duration of their activity was recorded on days 5/6. A positive association between the presence of CS in human blastocysts with blastocyst quality was identified. Blastocysts with a higher number of CS present, were of higher quality and were in the more advanced stages of development. Top quality blastocysts had CS activity present for longer, as well as having a higher number of vesicles present travelling along the CS. Blastocysts that had CS present, had a significantly higher live birth rate. This study has confirmed that a higher number of CS and vesicles in human blastocysts is associated with top quality blastocysts and is not a negative predictor of development. They had a higher number of CS present that appeared earlier in development and, although ceased activity sooner, had a longer duration of activity. Blastocysts with CS had a significant increase in live birth rate.

Type
Research Article
Copyright
© The Author(s), 2022. Published by Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Alpha Scientists in Reproductive Medicine and ESHRE Special Interest Group of Embryology. (2011). The Istanbul consensus workshop on embryo assessment: Proceedings of an expert meeting. Human Reproduction, 26(6), 12701283. doi: 10.1093/humrep/der037 CrossRefGoogle Scholar
Basile, N., Vime, P., Florensa, M., Aparicio Ruiz, B., García Velasco, J. A., Remohí, J. and Meseguer, M. (2015). The use of morphokinetics as a predictor of implantation: A multicentric study to define and validate an algorithm for embryo selection. Human Reproduction, 30(2), 276283. doi: 10.1093/humrep/deu331 CrossRefGoogle ScholarPubMed
Chai, N., Patel, Y., Jacobson, K., McMahon, J., McMahon, A. and Rappolee, D. A. (1998). FGF is an essential regulator of the fifth cell division in preimplantation mouse embryos. Developmental Biology, 198(1), 105115. doi: 10.1006/dbio.1997.8858 CrossRefGoogle ScholarPubMed
Ciray, H. N., Campbell, A., Agerholm, I. E., Aguilar, J., Chamayou, S., Esbert, M., Sayed, S. and User Group, Time-Lapse. (2014). Proposed guidelines on the nomenclature and annotation of dynamic human embryo monitoring by a time-lapse user group. Human Reproduction, 29(12), 26502660. doi: 10.1093/humrep/deu278 CrossRefGoogle ScholarPubMed
Ducibella, T., Albertini, D. F., Anderson, E. and Biggers, J. D. (1975). The preimplantation mammalian embryo: Characterization of intercellular junctions and their appearance during development. Developmental Biology, 45(2), 231250. doi: 10.1016/0012-1606(75)90063-9 CrossRefGoogle ScholarPubMed
Eastick, J., Venetis, C., Cooke, S., Storr, A., Susetio, D. and Chapman, M. (2017). Is early embryo development as observed by time-lapse microscopy dependent on whether fresh or frozen sperm was used for ICSI? A cohort study. Journal of Assisted Reproduction and Genetics, 34(6), 733740. doi: 10.1007/s10815-017-0928-0 CrossRefGoogle ScholarPubMed
Eastick, J., Venetis, C., Cooke, S. and Chapman, M. (2021). The presence of cytoplasmic strings in human blastocysts is associated with the probability of clinical pregnancy with fetal heart. Journal of Assisted Reproduction and Genetics, 38(8), 21392149. doi: 10.1007/s10815-021-02213-1 CrossRefGoogle ScholarPubMed
Ebner, T., Sesli, Ö., Kresic, S., Enengl, S., Stoiber, B., Reiter, E., Oppelt, P., Mayer, R. B. and Shebl, O. (2020). Time-lapse imaging of cytoplasmic strings at the blastocyst stage suggests their association with spontaneous blastocoel collapse. Reproductive Biomedicine Online, 40(2), 191199. doi: 10.1016/j.rbmo.2019.11.004 CrossRefGoogle ScholarPubMed
Fierro-González, J. C., White, M. D., Silva, J. C. and Plachta, N. (2013). Cadherin-dependent filopodia control preimplantation embryo compaction. Nature Cell Biology, 15(12), 14241433. doi: 10.1038/ncb2875 CrossRefGoogle ScholarPubMed
Gardner, R. L. (1997). The early blastocyst is bilaterally symmetrical and its axis of symmetry is aligned with the animal-vegetal axis of the zygote in the mouse. Development, 124(2), 289301. doi: 10.1242/dev.124.2.289 CrossRefGoogle ScholarPubMed
Gardner, D. K. and Schoolcraft, W. B. (1999). Culture and transfer of human blastocysts. Current Opinion in Obstetrics and Gynecology, 11(3), 307311. doi: 10.1097/00001703-199906000-00013 CrossRefGoogle ScholarPubMed
Gardner, D. K., Lane, M., Stevens, J., Schlenker, T. and Schoolcraft, W. B. (2000). Blastocyst score affects implantation and pregnancy outcome: Towards a single blastocyst transfer. Fertility and Sterility, 73(6), 11551158. doi: 10.1016/s0015-0282(00)00518-5 CrossRefGoogle ScholarPubMed
Hardarson, T., Van Landuyt, L. and Jones, G. (2012). The blastocyst. Human Reproduction, 27(Suppl. 1), i72i91. doi: 10.1093/humrep/des230 CrossRefGoogle ScholarPubMed
Hassan, M. R., Al-Insaif, S., Hossain, M. I. and Kamruzzaman, J. (2020). A machine learning approach for prediction of pregnancy outcome following IVF treatment. Neural Computing and Applications, 32(7), 22832297. doi: 10.1007/s00521-018-3693-9 CrossRefGoogle Scholar
Khosravi, P., Kazemi, E., Zhan, Q., Malmsten, J. E., Toschi, M., Zisimopoulos, P., Sigaras, A., Lavery, S., Cooper, L. A. D., Hickman, C., Meseguer, M., Rosenwaks, Z., Elemento, O., Zaninovic, N. and Hajirasouliha, I. (2019). Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization. npj Digital Medicine, 2(1), 21. doi: 10.1038/s41746-019-0096-y CrossRefGoogle ScholarPubMed
Kirkegaard, K., Kesmodel, U. S., Hindkjær, J. J. and Ingerslev, H. J. (2013). Time-lapse parameters as predictors of blastocyst development and pregnancy outcome in embryos from good prognosis patients: A prospective cohort study. Human Reproduction, 28(10), 26432651. doi: 10.1093/humrep/det300 CrossRefGoogle ScholarPubMed
Ma, B., Yang, L., Tian, Y., Jin, L. and Huang, B. (2021). Cytoplasmic string between ICM and mTE is a positive predictor of clinical pregnancy and live birth outcomes in elective frozen–thawed single blastocyst transfer cycles: a time-lapse study. Frontiers in Medicine, 9, 934327. doi: 10.21203/rs.3.rs-122470/v1 CrossRefGoogle Scholar
Munné, S., Nakajima, S. T., Najmabadi, S., Sauer, M. V., Angle, M. J., Rivas, J. L., Mendieta, L. V., Macaso, T. M., Sawarkar, S., Nadal, A., Choudhary, K., Nezhat, C., Carson, S. A. and Buster, J. E. (2020). First PGT-A using human in vivo blastocysts recovered by uterine lavage: Comparison with matched IVF embryo controls. Human Reproduction, 35(1), 7080. doi: 10.1093/humrep/dez242 CrossRefGoogle Scholar
Petersen, B. M., Boel, M., Montag, M. and Gardner, D. K. (2016). Development of a generally applicable morphokinetic algorithm capable of predicting the implantation potential of embryos transferred on Day 3. Human Reproduction, 31(10), 22312244. doi: 10.1093/humrep/dew188 CrossRefGoogle ScholarPubMed
Salas-Vidal, E. and Lomelí, H. (2004). Imaging filopodia dynamics in the mouse blastocyst. Developmental Biology, 265(1), 7589. doi: 10.1016/j.ydbio.2003.09.012 CrossRefGoogle ScholarPubMed
Scott, L. A. (2000). Oocyte and embryo polarity. Seminars in Reproductive Medicine, 18(2), 171183. doi: 10.1055/s-2000-12556 CrossRefGoogle ScholarPubMed
Storr, A., Venetis, C., Cooke, S., Kilani, S. and Ledger, W. (2018). Time-lapse algorithms and morphological selection of day-5 embryos for transfer: A preclinical validation study. Fertility and Sterility, 109(2), 276283.e3. doi: 10.1016/j.fertnstert.2017.10.036 CrossRefGoogle ScholarPubMed
Tran, D., Cooke, S., Illingworth, P. J. and Gardner, D. K. (2019). Deep learning as a predictive tool for fetal heart pregnancy following time-lapse incubation and blastocyst transfer. Human Reproduction, 34(6), 10111018. doi: 10.1093/humrep/dez064 CrossRefGoogle ScholarPubMed
VerMilyea, M., Hall, J. M. M., Diakiw, S. M., Johnston, A., Nguyen, T., Perugini, D., Miller, A., Picou, A., Murphy, A. P. and Perugini, M. (2020). Development of an artificial intelligence-based assessment model for prediction of embryo viability using static images captured by optical light microscopy during IVF. Human Reproduction, 35(4), 770784. doi: 10.1093/humrep/deaa013 CrossRefGoogle ScholarPubMed