P-138 Transcriptomic signatures in trophectoderm and inner cell mass of human blastocysts with expected pregnancy rates. (30th June 2022)

• Record Type: Journal Article
• Authors: Kai, Y; Mei, H; Kawano, H; Nakajima, N; Takai, A; Kumon, M; Inoue, A; Yamashita, N
• Is Part Of: Human reproduction. Volume 37(2022)Supplement 1
• Publication Date: 2022-06-30
• Subjects: Human reproduction -- Periodicals; 618
• DOI: 10.1093/humrep/deac107.133
• Languages: English
• ISSNs: 0268-1161

Abstract

Abstract: Study question: Is it possible to identify the molecular factors that contribute to the implantation potential of blastocysts? Summary answer: Genes correlated with expected pregnancy rate in trophectoderm (TE) and inner cell mass (ICM) respectively were identified, and aneuploidy alone couldn't predict the pregnancy expectation. What is known already: The selection of suitable embryos for transfer is critical for achieving successful pregnancy outcomes in assisted reproductive technology (ART). Although pre-implantation genetic testing for aneuploidy (PGT-A) as well as morphological and chronological evaluation of embryos, have been conducted in clinical practice, they do not fully guarantee successful pregnancy. Recently, transcriptional events in early human embryonic development have been analyzed using RNA-sequencing (RNA-seq) and researchers are attempting to apply this information to ART. Study design, size, duration: To determine the correlation between blastocyst evaluation and pregnancy rate, we retrospectively analyzed 1, 890 cases underwent frozen-thawed blastocyst transfer from March 2018 to December 2020. A total of 13 blastocysts that were cryopreserved for clinical use between February 2011 and September 2018, then scheduled for disposal and with consented for research, were subjected to RNA-seq without distinguishing between conventional in vitro fertilization (c-IVF) and intracytoplasmic sperm injection (ICSI). Participants/materials, setting, methods: Blastocysts were donated by infertile couples undergoing c-IVF or ICSI cycles at the Yamashita Shonan Yume Clinic with informed consent under ethical approval. TE and ICM cells were collected from blastocysts by using a micromanipulator and then subjected to RNA-seq. Gene expression analysis and digital karyotyping using RNA-seq were performed simultaneously for TE and ICM cells, respectively. One-way analysis of variance, chi-square test and Tukey's multiple comparison test were used for this study. Main results and the role of chance: Blastocysts were classified into three groups to correlate with pregnancy rates based on the diameter of the blastocyst and the time to reach this size: those taking less than 130 h to reach a diameter of > 170 μm (Group 1, n = 676), those taking more than 140 h to reach a diameter of < 180 μm (Group 2, n = 158), and the rest (Group 3, n = 1, 056). The pregnancy rates of Groups 1, 2 and 3 were 59.0%, 16.5%, and 34.2%, respectively (p < 0.01). Assessing the differences in overall transcripts correlated between Group 1 (n = 5), Group 2 (n = 4), and Group 3 (n = 4), 26 and 67 differentially expressed genes (DEGs) were identified in ICM and TE cells, respectively. Importantly, downregulated genes in TE of blastocysts with lower expectation of pregnancy included tight junction-related genes, such as CXADR, CLDN10, and ATP1B1, which were implicated in peri-implantation development. Digital karyotyping revealed karyotypic abnormalities and mosaicism in all groups with no common abnormalities observed, suggesting that aneuploidy alone cannot predict the pregnancy expectation. Limitations, reasons for caution: Although 93 genes potentially related to implantation have been identified, it is still unclear how these genes are involved in implantation. In vitro implantation models using human embryos and artificial embryos currently under development are expected to contribute to the elucidation of the functions of these genes. Wider implications of the findings: Our results provide reliable candidates for genes that could allow for non-invasive selection of high-quality blastocysts for ART and add to the knowledge base of transcriptional events in human peri-implantation development. Trial registration number: not applicable