Literature DB >> 28595284

Infertility diagnosis has a significant impact on the transcriptome of developing blastocysts.

Blair R McCallie1,2, Jason C Parks1,2, Darren K Griffin3, William B Schoolcraft4, Mandy G Katz-Jaffe1,4.   

Abstract

STUDY QUESTION: Is the human blastocyst transcriptome associated with infertility diagnosis, specifically: polycystic ovaries (PCO), male factor (MF) and unexplained (UE)? SUMMARY ANSWER: The global blastocyst transcriptome was significantly altered in association with a PCO, MF and UE infertility diagnosis. WHAT IS KNOWN ALREADY: Infertility diagnosis has an impact on the probability for a successful outcome following an IVF cycle. Limited information is known regarding the relationship between a specific infertility diagnosis and blastocyst transcription during preimplantation development. STUDY DESIGN, SIZE, DURATION: Blastocysts created during infertility treatment from patients with specific infertility diagnoses (PCO, MF and UE) were analyzed for global transcriptome compared to fertile donor oocyte blastocysts (control). PARTICIPANTS/MATERIALS, SETTING,
METHODS: Surplus cryopreserved blastocysts were donated with patient consent and institutional review board approval. Female patients were <38 years old with male patients <40 years old. Blastocysts were grouped according to infertility diagnosis: PCO (n = 50), MF (n = 50), UE (n = 50) and fertile donor oocyte controls (n = 50). Pooled blastocysts were lysed for RNA isolation followed by microarray analysis using the SurePrint G3 Human Gene Expression Microarray. Validation was performed on significant genes of interest using real-time quantitative PCR (RT-qPCR). MAIN RESULTS AND THE ROLE OF CHANCE: Transcription alterations were observed for all infertility etiologies compared to controls, resulting in differentially expressed genes: PCO = 869, MF = 348 and UE = 473 (P < 0.05; >2-fold). Functional annotation of biological and molecular processes revealed both similarities, as well as differences, across the infertility groups. All infertility etiologies displayed transcriptome alterations in signal transducer activity, receptor binding, reproduction, cell adhesion and response to stimulus. Blastocysts from PCO patients were also enriched for apoptotic genes while MF blastocysts displayed enrichment for genes involved in cancer processes. Blastocysts from couples with unexplained infertility displayed transcription alterations related to various disease states, which included mechanistic target of rapamycin (mTOR) and adipocytokine signaling. RT-qPCR validation confirmed differential gene expression for the following genes: BCL2 like 10 (BCL2L10), heat shock protein family A member 1A (HSPA1A), heat shock protein family A member 1B (HSPA1B), activating transcription factor 3 (ATF3), fibroblast growth factor 9 (FGF9), left-right determination factor 1 (LEFTY1), left-right determination factor 2 (LEFTY2), growth differentiation factor 15 (GDF15), inhibin beta A subunit (INHBA), adherins junctions associated protein 1 (AJAP1), cadherin 9 (CDH9) and laminin subunit alpha 4 (LAMA4) (P < 0.05; >2-fold). LARGE SCALE DATA: Not available due to participant privacy. LIMITATIONS, REASONS FOR CAUTION: Blastocyst samples for microarray analysis required pooling. While this allows for an overall average in each infertility etiology group and can reduce noise from sample-to-sample variation, it cannot give a detailed analysis of each blastocyst within the group. WIDER IMPLICATIONS OF THE
FINDINGS: Underlying patient infertility diagnosis has an impact on the blastocyst transcriptome, modifying gene expression associated with developmental competence and implantation potential. STUDY FUNDING AND COMPETING INTEREST(S): No conflict of interest or outside funding provided.
© The Author 2017. Published by Oxford University Press on behalf of the European Society of Human Reproduction and Embryology. All rights reserved. For Permissions, please email:journals.permissions@oup.com

Entities:  

Keywords:  gene expression; male factor; polycystic ovaries; transcriptome; unexplained Infertility

Mesh:

Year:  2017        PMID: 28595284     DOI: 10.1093/molehr/gax034

Source DB:  PubMed          Journal:  Mol Hum Reprod        ISSN: 1360-9947            Impact factor:   4.025


  5 in total

1.  Apoptotic qPCR gene expression array analysis demonstrates proof-of-concept for rapid blastocoel fluid-conditioned media molecular prediction.

Authors:  Arnav Lal; Allison Kranyak; Jonathan Blalock; Deepti Athavale; Alyssa Barré; Addison Doran; T Arthur Chang; Randal D Robinson; Shawn Zimmerman; J David Wininger; Lauren A Fowler; William E Roudebush; Renee J Chosed
Journal:  J Assist Reprod Genet       Date:  2022-05-11       Impact factor: 3.357

2.  RNA expression profiling from the liquid fraction of synovial fluid in knee joint osteoarthritis patients.

Authors:  Peng Jiang; Shui Sun; Ju Zhang; Cuidan Li; Guannan Ma; Jian Wang; Fei Chen; Dezhong Joshua Liao
Journal:  Am J Transl Res       Date:  2022-09-15       Impact factor: 3.940

3.  Upregulated Ribosomal Pathway Impairs Follicle Development in a Polycystic Ovary Syndrome Mouse Model: Differential Gene Expression Analysis of Oocytes.

Authors:  Natsuki Nakanishi; Satoko Osuka; Tomohiro Kono; Hisato Kobayashi; Shinya Ikeda; Bayasula Bayasula; Reina Sonehara; Mayuko Murakami; Sayako Yoshita; Natsuki Miyake; Ayako Muraoka; Yukiyo Kasahara; Tomohiko Murase; Tomoko Nakamura; Maki Goto; Akira Iwase; Hiroaki Kajiyama
Journal:  Reprod Sci       Date:  2022-10-04       Impact factor: 2.924

4.  BCL2L10/BECN1 modulates hepatoma cells autophagy by regulating PI3K/AKT signaling pathway.

Authors:  Jiafa He; Li Deng; Heping Liu; Taiying Chen; Shengying Chen; Shangzhou Xia; Yubin Liu
Journal:  Aging (Albany NY)       Date:  2019-01-26       Impact factor: 5.682

5.  Human blastocysts of normal and abnormal karyotypes display distinct transcriptome profiles.

Authors:  Frederick Licciardi; Tenzin Lhakhang; Yael G Kramer; Yutong Zhang; Adriana Heguy; Aristotelis Tsirigos
Journal:  Sci Rep       Date:  2018-10-08       Impact factor: 4.379

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.