Literature DB >> 31154602

Is there any correlation between apoptotic genes expression in cumulus cells with embryo morphokinetics?

Azita Faramarzi1,2, Mohammad Ali Khalili3,4, Masoumeh Golestan Jahromi2,5.   

Abstract

The aim was to assess the correlation between apoptotic genes of cumulus cells (CCs) with embryo morphokinetics as non invasive methods for embryo selection. Evaluation of cleavage activity among in vitro-fertilized embryos was dependent on determining not only expression profiles of pro- and anti-apoptotic genes in CCs surrounding ovulated oocytes but also morphokinetic parameters such as time of second PB extrusion (tPB2), pronuclei appearance (tPN), pronuclei fading (tPNf), formation of two to eight cells (t2-t8) and cleavage pattern [uneven at two cells stage, cell fusion (Fu) and trichomonas mitoses (TM)]. A total of 269 embryos from 90 intracytoplasmic sperm injection (ICSI) cycles were assessed. The data showed that t2 was associated with CCs expression of Bax, Caspase3 Bcl2 and bax/bcl2 (p = 0.000, p = 0.000, p = 0.04, p = 0.00, respectively). Uneven blastomeres embryo associated with Bax and Caspase3 (p = 0.007, p = 0.000 respectively) as well as Fu and TM embryo significantly correlated to CCs expression of Bax, Caspase3 Bcl2 and bax/bcl2 (p = 0.000, p = 0.000, p = 0.00, p = 0.00, respectively) (p = 0.006, p = 0.000, p = 0.009, p = 0.0340, respectively). Embryo morphokinetics and cleavage pattern associated with CCs apoptotic gene expression. It seems that embryo selection by morphokinetics assessment using TLM with conjunction in CCs gene expression can improve ART outcome.

Entities:  

Keywords:  Apoptosis; Cumulus cell; Embryo; Gene expression; Morphokinetics; Oocyte

Mesh:

Substances:

Year:  2019        PMID: 31154602     DOI: 10.1007/s11033-019-04781-z

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.316


  6 in total

1.  Accompaniment of Time-Lapse Parameters and Cumulus Cell RNA-Sequencing in Embryo Evaluation.

Authors:  Azam Govahi; Fatemehsadat Amjadi; Mohammad-Hossein Nasr-Esfahani; Ehsan Raoufi; Mehdi Mehdizadeh
Journal:  Reprod Sci       Date:  2021-10-12       Impact factor: 3.060

2.  Bioinformatic Analysis of Human Cumulus Cells to Unravel Cellular's Processes that Could Be Used to Establish Oocyte Quality Biomarkers with Clinical Application.

Authors:  Lucia von Mengden; Marco Antônio De Bastiani; Lucas Kich Grun; Florencia Barbé-Tuana; Tom Adriaenssens; Johan Smitz; Leticia Schmidt Arruda; Carlos Alberto Link; Fábio Klamt
Journal:  Reprod Sci       Date:  2022-07-26       Impact factor: 2.924

3.  Human Cumulus Cells in Long-Term In Vitro Culture Reflect Differential Expression Profile of Genes Responsible for Planned Cell Death and Aging-A Study of New Molecular Markers.

Authors:  Błażej Chermuła; Wiesława Kranc; Karol Jopek; Joanna Budna-Tukan; Greg Hutchings; Claudia Dompe; Lisa Moncrieff; Krzysztof Janowicz; Małgorzata Józkowiak; Michal Jeseta; Jim Petitte; Paul Mozdziak; Leszek Pawelczyk; Robert Z Spaczyński; Bartosz Kempisty
Journal:  Cells       Date:  2020-05-21       Impact factor: 6.600

4.  Clinical and Molecular Effects of GnRH Agonist and Antagonist on The Cumulus Cells in The In Vitro Fertilization Cycle.

Authors:  Saeid Azizollahi; Maryam Bagheri; Fedyeh Haghollahi; Seyyede Momeneh Mohammadi; Batool Hossein Rashidi
Journal:  Int J Fertil Steril       Date:  2021-06-22

5.  Resolvin E1 in Follicular Fluid Acts as a Potential Biomarker and Improves Oocyte Developmental Competence by Optimizing Cumulus Cells.

Authors:  Yijing Zhang; Zhongyi Zhu; He Li; Mingjiang Zhu; Xiandong Peng; Aijie Xin; Ronggui Qu; Wen He; Jing Fu; Xiaoxi Sun
Journal:  Front Endocrinol (Lausanne)       Date:  2020-04-16       Impact factor: 5.555

6.  Stratifying Cumulus Cell Samples Based on Molecular Profiling to Help Resolve Biomarker Discrepancies and to Predict Oocyte Developmental Competence.

Authors:  Osman El-Maarri; Muhammad Ahmer Jamil; Maria Köster; Nicole Nüsgen; Johannes Oldenburg; Markus Montag; Hans van der Ven; Katrin van der Ven
Journal:  Int J Mol Sci       Date:  2021-06-15       Impact factor: 5.923

  6 in total

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