The impact of maternal age on gene expression during the GV to MII transition in euploid human oocytes

STUDY QUESTION Are there age-related differences in gene expression during the germinal vesicle (GV) to metaphase II (MII) stage transition in euploid human oocytes? SUMMARY ANSWER A decrease in mitochondrial-related transcripts from GV to MII oocytes was observed, with a much greater reduction in MII oocytes with advanced age. WHAT IS KNOWN ALREADY Early embryonic development is dependent on maternal transcripts accumulated and stored within the oocyte during oogenesis. Transcriptional activity of the oocyte, which dictates its ultimate developmental potential, may be influenced by age and explain the reduced competence of advanced maternal age (AMA) oocytes compared with the young maternal age (YMA). Gene expression has been studied in human and animal oocytes; however, RNA sequencing could provide further insights into the transcriptome profiling of GV and in vivo matured MII euploid oocytes of YMA and AMA patients. STUDY DESIGN, SIZE, DURATION Fifteen women treated for infertility in a single IVF unit agreed to participate in this study. Five GV and 5 MII oocytes from 6, 21–26 years old women (YMA cohort) and 5 GV and 6 MII oocytes from 6, 41–44 years old women (AMA cohort) undergoing IVF treatment were donated. The samples were collected within a time frame of 4 months. RNA was isolated and deep sequenced at the single-cell level. All donors provided either GV or MII oocytes. PARTICIPANTS/MATERIALS, SETTING, METHODS Cumulus dissection from donated oocytes was performed 38 h after hCG injection, denuded oocytes were inserted into lysis buffer supplemented with RNase inhibitor. The samples were stored at −80°C until further use. Isolated RNA from GV and MII oocytes underwent library preparation using an oligo deoxy-thymidine (dT) priming approach (SMART-Seq v4 Ultra Low Input RNA assay; Takara Bio, Japan) and Nextera XT DNA library preparation assay (Illumina, USA) followed by deep sequencing. Data processing, quality assessment and bioinformatics analysis were performed using source-software, mainly including FastQC, HISAT2, StringTie and edgeR, along with functional annotation analysis, while scploid R package was employed to determine the ploidy status. MAIN RESULTS AND THE ROLE OF CHANCE Following deep sequencing of single GV and MII oocytes in both YMA and AMA cohorts, several hundred transcripts were found to be expressed at significantly different levels. When YMA and AMA MII oocyte transcriptomes were compared, the most significant of these were related to mitochondrial structure and function, including biological processes, mitochondrial respiratory chain complex I assembly and mitochondrial translational termination (false discovery rate (FDR) 6.0E−10 to 1.2E−7). These results indicate a higher energy potential of the YMA MII cohort that is reduced with ageing. Other biological processes that were significantly higher in the YMA MII cohort included transcripts involved in the translation process (FDR 1.9E−2). Lack of these transcripts could lead to inappropriate protein synthesis prior to or upon fertilisation of the AMA MII oocytes. LARGE SCALE DATA The RNA sequencing data were deposited in the Gene Expression Omnibus (https://www.ncbi.nlm.nih.gov/geo), under the accession number: GSE164371. LIMITATIONS, REASONS FOR CAUTION The relatively small sample size could be a reason for caution. However, the RNA sequencing results showed homogeneous clustering with low intra-group variation and five to six biological replicates derived from at least three different women per group minimised the potential impact of the sample size. WIDER IMPLICATIONS OF THE FINDINGS Understanding the effects of ageing on the oocyte transcriptome could highlight the mechanisms involved in GV to MII transition and identify biomarkers that characterise good MII oocyte quality. This knowledge has the potential to guide IVF regimes for AMA patients. STUDY FUNDING/COMPETING INTEREST(S) This work was supported by the Medical Research Council (MRC Grant number MR/K020501/1)

Reporting on the Value of Artificial Intelligence in Predicting the Optimal Embryo for Transfer: A Systematic Review including Data Synthesis

Artificial intelligence (AI) has been gaining support in the field of in vitro fertilization (IVF). Despite the promising existing data, AI cannot yet claim gold-standard status, which serves as the rationale for this study. This systematic review and data synthesis aims to evaluate and report on the predictive capabilities of AI-based prediction models regarding IVF outcome. The study has been registered in PROSPERO (CRD42021242097). Following a systematic search of the literature in Pubmed/Medline, Embase, and Cochrane Central Library, 18 studies were identified as eligible for inclusion. Regarding live-birth, the Area Under the Curve (AUC) of the Summary Receiver Operating Characteristics (SROC) was 0.905, while the partial AUC (pAUC) was 0.755. The Observed: Expected ratio was 1.12 (95%CI: 0.26–2.37; 95%PI: 0.02–6.54). Regarding clinical pregnancy with fetal heartbeat, the AUC of the SROC was 0.722, while the pAUC was 0.774. The O:E ratio was 0.77 (95%CI: 0.54–1.05; 95%PI: 0.21–1.62). According to this data synthesis, the majority of the AI-based prediction models are successful in accurately predicting the IVF outcome regarding live birth, clinical pregnancy, clinical pregnancy with fetal heartbeat, and ploidy status. This review attempted to compare between AI and human prediction capabilities, and although studies do not allow for a meta-analysis, this systematic review indicates that the AI-based prediction models perform rather similarly to the embryologists’ evaluations. While AI models appear marginally more effective, they still have some way to go before they can claim to significantly surpass the clinical embryologists’ predictive competence. © 2022 by the authors. Licensee MDPI, Basel, Switzerland

The impact of the economic recession in greece on assisted reproduction demand: A retrospective longitudinal study

Background and objectives: Since 2009, the decline of the Greek economy has been in the spotlight of the world’s financial agenda. This study assesses the economic crisis’ impact on assisted reproduction demand dynamics. Materials and Methods: Patient records were recruited between 2005-2017. In 2013 the clinic proceeded with a cost reduction. The studied time-frames were defined accordingly: Period A: Prior to economic crisis, Period B: During the economic crisis-prior to cost reduction, and Period C: During the economic crisis-following cost reduction. Analysis focused on parameters reflecting on patient characteristics, decision to inquire on IVF treatment, embarking on it, and proceeding with multiple cycles. Results: The mean annual number of first visit patients was significantly decreased during Period B (1467.00 ± 119.21) in comparison to period A (1644.40 ± 42.57) and C (1637.8 ± 77.23). Furthermore, Period C in comparison to B and A, refers to women of more advanced age (37.27 ± 5.62 vs 36.04 ± 5.76 vs 35.53 ± 5.28), reporting a longer infertility period (8.49 ± 6.25 vs 7.01 ± 5.66 vs 6.46 ± 5.20), being inclined to abandon IVF treatment sooner (2.78 ± 2.51 vs 2.60 ± 1.92 vs 4.91 ± 2.28). Conclusions: A decline regarding assisted reproduction techniques (ART) demand was noted as anticipated. Redefining the cost of infertility treatments may contribute towards overcoming the troubling phenomenon of postponing pregnancy due to financial concerns. © 2019 by the authors. Licensee MDPI, Basel, Switzerland