Transcription of Long Non-Coding RNAs in Cumulus Cells of the Cumulus-Oocyte Complex from Women with In Vitro Fertilization Failure
摘要
Objective: Single embryo transfer is a strategy used in assisted reproductive technologies that can reduce the incidence of multiple pregnancies. In this approach, the importance of methods for assessing embryo quality increases substantially, as it is necessary to select the embryo with the highest implantation potential from among several embryos. One way to improve embryo quality assessment is through non-invasive methods of diagnosing oocyte competence. The aim of the study was to evaluate the potential use of the expression levels of long non-coding RNAs (lncRNAs) NEAT1, MALAT1, ANXA2P2, MEG3, IL6STP1, VIM-AS1, HSAT2/3, LTR12c-375, HERVS71-int9, MER52c-175 as predictors of oocyte quality. Methods: Nine donors and 19 patients with various IVF outcomes participated in the study. The groups of donors and patients did not differ significantly in age, body mass index, antimüllerian hormone level, duration of stimulation, or daily dose of hormones. RNA was isolated from the cumulus cells and used for cDNA synthesis and subsequent amplification by qPCR. The data were analyzed using statistical methods to determine the correlation between the level of the lncRNAs expression and IVF procedure outcome. Results and discussion: The expression levels of the lncRNAs were analyzed in relation to the IVF outcome and the embryologic status of patients and donors (total number, number of mature oocytes, and number of day 5 blastocysts). Decreased expression of NEAT1 and increased expression of VIM-AS1 were the predictors most strongly associated with successful IVF outcomes, i.e., birth (correlation coefficient r (–0.7) and 0.6 respectively). Logistic regression parameters were determined for NEAT1 to describe the relationship between IVF outcomes and non-coding RNA transcription levels (b0 = 3.852; b1 = –1.418). There was no correlation between the NEAT1 transcription level and the number of oocytes or blastocysts. This suggests that NEAT1-dependent factors that reduce oocyte competence play a role in post-implantation stages. VIM-AS1 expression showed a weak correlation with the total number of oocytes (r = 0.3). Transcript 2 isoform of the VIM-AS1 correlated also with the number of mature oocytes and day 5 blastocysts. Conclusions: NEAT1 and VIM-AS1 non-coding RNAs of cumulus cells are involved in follicle maturation processes and can be considered as potential biomarkers for assessing oocyte quality and predicting the outcome of IVF procedure.