Abstract
Personalized approach to a patient engaged into an infertility treatment has been present since the early beginnings of the assisted reproductive technologies, and is constantly developing because of the progress of therapy, medication and laboratory methods. Personalization of the infertility treatment can be discussed on three different levels: approach to the patient, selection of gametes and assessment of embryos. Personalization of the approach to the patient includes adjustment of controlled ovarian stimulation strategy as well as usage of the biomarkers for the ovarian response to the hormone stimulation. Regarding gametes and embryo assessment, personalization includes application of novel OMICS and other high-throughput methods for selection of the oocytes and/or embryos with the highest developmental potential. Personalization of the treatment approaches and ovarian stimulation protocols along with improved laboratory techniques would lead to better treatment efficiency with improved safety for the patient, higher percentage of babies born per cycle and higher cumulative live birth rate for couple in shorter period of time.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
References
Benkhalifa M, Madkour A et al (2015) From global proteome profiling to single targeted molecules of follicular fluid and oocyte: contribution to embryo development and IVF outcome. Expert Rev Proteomics 12(4):407–423. https://doi.org/10.1586/14789450.2015.1056782
Broer SL, Dólleman M et al (2011) AMH and AFC as predictors of excessive response in controlled ovarian hyperstimulation: a meta-analysis. Hum Reprod Update 17(1):46–54. https://doi.org/10.1093/humupd/dmq034
Broer SL, Dólleman M et al (2013) Prediction of an excessive response in in vitro fertilization from patient characteristics and ovarian reserve tests and comparison in subgroups: an individual patient data meta-analysis. Fertil Steril 100(2):420–429. https://doi.org/10.1016/j.fertnstert.2013.04.024
Bromer JG, Seli E (2008) Assessment of embryo viability in assisted reproductive technology: shortcomings of current approaches and the emerging role of metabolomics. Curr Opin Obstet Gynecol 20(3):234–241. https://doi.org/10.1097/GCO.0b013e3282fe723d
Chronowska E (2014) High-throughput analysis of ovarian granulosa cell transcriptome. Biomed Res Int 2014:213570. https://doi.org/10.1155/2014/213570
Drakopoulos P, Blockeel C et al (2016) 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 31(2):370–376. https://doi.org/10.1093/humrep/dev316
Dumesic DA, Meldrum DR et al (2015) Oocyte environment: follicular fluid and cumulus cells are critical for oocyte health. Fertil Steril 103(2):303–316. https://doi.org/10.1016/j.fertnstert.2014.11.015
Egea RR, Puchalt NG et al (2014) OMICS: current and future perspectives in reproductive medicine and technology. J Hum Reprod Sci 7(2):73–92. https://doi.org/10.4103/0974-1208.138857
Ferraretti AP, La Marca A et al (2011) ESHRE consensus on the definition of ‘poor response’ to ovarian stimulation for in vitro fertilization: the Bologna criteria. Hum Reprod 26(7):1616–1624. https://doi.org/10.1093/humrep/der092
Gameiro S, Boivin J et al (2012) Why do patients discontinue fertility treatment? A systematic review of reasons and predictors of discontinuation in fertility treatment. Hum Reprod Update 18(6):652–669. https://doi.org/10.1093/humupd/dms031
Gardner DK (2015) Lactate production by the mammalian blastocyst: manipulating the microenvironment for uterine implantation and invasion? BioEssays 37(4):364–371. https://doi.org/10.1002/bies.201400155
Gardner DK, Lane M et al (2001) Noninvasive assessment of human embryo nutrient consumption as a measure of developmental potential. Fertil Steril 76(6):1175–1180
Kaser DJ, Racowsky C (2014) Clinical outcomes following selection of human preimplantation embryos with time-lapse monitoring: a systematic review. Hum Reprod Update 20(5):617–631. https://doi.org/10.1093/humupd/dmu023
La Marca A, Grisendi V et al (2015) Live birth rates in the different combinations of the Bologna criteria poor ovarian responders: a validation study. J Assist Reprod Genet 32(6):931–937. https://doi.org/10.1007/s10815-015-0476-4
Mohiyiddeen L, Newman WG et al (2012) Follicle-stimulating hormone receptor gene polymorphisms are not associated with ovarian reserve markers. Fertil Steril 97(3):677–681. https://doi.org/10.1016/j.fertnstert.2011.12.040
Polyzos NP, Nwoye M et al (2014) Live birth rates in Bologna poor responders treated with ovarian stimulation for IVF/ICSI. Reprod Biomed Online 28(4):469–474. https://doi.org/10.1016/j.rbmo.2013.11.010
Ravichandran K, McCaffrey C et al (2017) Mitochondrial DNA quantification as a tool for embryo viability assessment: retrospective analysis of data from single euploid blastocyst transfers. Hum Reprod 6:1–11. https://doi.org/10.1093/humrep/dex070
Revelli A, Delle Piane L et al (2009) Follicular fluid content and oocyte quality: from single biochemical markers to metabolomics. Reprod Biol Endocrinol 7:40. https://doi.org/10.1186/1477-7827-7-40
Rienzi L, Balaban B et al (2012) The oocyte. Hum Reprod 1:i2–i121. https://doi.org/10.1093/humrep/des200
Simoni M, Casarini L (2014) Mechanisms in endocrinology: genetics of FSH action: a 2014-and-beyond view. Eur J Endocrinol 170(3):R91–R107. https://doi.org/10.1530/EJE-13-0624
Uyar A, Torrealday S et al (2013) Cumulus and granulosa cell markers of oocyte and embryo quality. Fertil Steril 99(4):979–997. https://doi.org/10.1016/j.fertnstert.2013.01.129
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Radojčić Badovinac, A., Smiljan Severinski, N., Dević Pavlić, S. (2019). Present and Future in Personalized Clinical and Laboratory Approaches to In Vitro Fertilization Procedures. In: Bodiroga-Vukobrat, N., Rukavina, D., Pavelić, K., Sander, G.G. (eds) Personalized Medicine in Healthcare Systems. Europeanization and Globalization, vol 5. Springer, Cham. https://doi.org/10.1007/978-3-030-16465-2_8
Download citation
DOI: https://doi.org/10.1007/978-3-030-16465-2_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-16464-5
Online ISBN: 978-3-030-16465-2
eBook Packages: Law and CriminologyLaw and Criminology (R0)