Abstract

Endometrium is the uterine lining that undergoes hundreds of cycles of proliferation, differentiation, and desquamation throughout a woman's reproductive life. Recently, much attention is paid to the appropriate endometrial functioning, as decreased endometrial receptivity is stated to be one of the concerns heavily influencing successes of embryo implantation rates and the efficacy of in vitro fertilization (IVF) treatment. In order to acquire and maintain the desired endometrial receptivity during IVF cycles, luteal phase support by various progestagens or other hormonal combinations is generally recommended. However, today, the selection of the specific hormonal therapy during IVF seems to be empirical, mainly due to a lack of appropriate tools for personalized approach. Here, we designed the genetic tool for patient-specific optimization of hormonal supplementation schemes required for the maintenance of endometrial receptivity during luteal phase. We optimized and characterized in vitro endometrial stromal cell (ESC) decidualization model as the adequate physiological reflection of endometrial sensitivity to steroid hormones. Based on the whole transcriptome RNA sequencing and the corresponding bioinformatics, we proposed that activation of the decidual prolactin (PRL) promoter containing ancient transposons MER20 and MER39 may reflect functioning of the core decidual regulatory network. Furthermore, we cloned the sequence of decidual PRL promoter containing MER20 and part of MER39 into the expression vector to estimate the effectiveness of ESC decidual response and verified sensitivity of the designed system. We additionally confirmed specificity of the generated tool using human diploid fibroblasts and adipose-derived human mesenchymal stem cells. Finally, we demonstrated the possibility to apply our tool for personalized hormone screening by comparing the effects of natural progesterone and three synthetic analogs (medroxyprogesterone 17-acetate, 17α-hydroxyprogesterone caproate, dydrogesterone) on decidualization of six ESC lines obtained from patients planning to undergo the IVF procedure. To sum up, we developed the “all-in-one” genetic tool based on the MER20/MER39 expression cassette that provides the ability to predict the most appropriate hormonal cocktail for endometrial receptivity maintenance specifically and safely for the patient, and thus to define the personal treatment strategy prior to the IVF procedure.

Highlights

  • Infertility is a global public health issue of modern healthcare that affects a significant proportion of humanity according to the (World Health Organization., 2020)

  • This issue has become acute as the trend of the last 4 years indicates a significant decline in the positive clinical outcomes of In vitro fertilization (IVF) (Gleicher et al, 2019)

  • The observed decrease in the live birth rates is partially due to the obvious patients’ desire to increase the safety of the IVF procedure for the maternal organism and to obtain the predictable outcome (Martikainen et al, 2001). This point is satisfied by the elective single embryo transfer, what, heavily influences IVF success rates (Gleicher et al, 2019). Such a correlation between the use of a single embryo and the decline in the IVF efficacy dictates a certain need for personalization of the applied approaches

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Summary

Introduction

Infertility is a global public health issue of modern healthcare that affects a significant proportion of humanity according to the (World Health Organization., 2020). In vitro fertilization (IVF) is considered to be the leading approach for infertility curing. Though this type of assisted reproductive technology (ART) seems to be the most effective, the rate of positive outcomes does not exceed 30% (Gleicher et al, 2019). The “bottleneck” heavily influencing the success of IVF treatment is adequate embryo implantation requiring embryo-endometrial synchronicity (Salker et al, 2010; Teh et al, 2016). To this end, embryo transferring should be performed in the strictly defined time point, when endometrium is characterized by the maximal receptivity to embryonic signals. Recent observations suggest that endometrial dysfunction (decreased endometrial receptivity) is the cause of implantation failure in about 30% of cases (Tomari et al, 2020)

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