Molecular Biological Approaches to Human Oocyte Developmental Competence Prognosis

Objective: Cumulus cells respond to the effects of hormones and signalling molecules synthesised by the oocyte by changing their expression profile. In turn, cumulus cells control the growth and maturation of the oocyte. Therefore, analysis of the transcriptional profile of cumulus cells is likely to be one of the approaches for non-invasive prediction of oocyte quality in assisted reproductive technology programs. To evaluate the expression of selected genes in cumulus cells in women with primary and secondary types of infertility with positive and negative results of assisted reproductive technologies. Methods: 9 healthy donors and 19 patients undergoing infertility treatment with ART methods participated in the study. RNA was isolated from cumulus cells obtained during oocyte preparation for fertilisation, and cDNA was synthesised and used as a matrix for real-time PCR with primers for AREG, SCD4, PTGS, SCD5, HAS2, VCAN, STAR and two lncRNA genes (ANXA2P2, MALAT1). Results and Discussion: The genes of interest expression did not depend on the type of infertility but rather on the IVF attempt outcome. The panel of mRNA biomarkers (SDC4upAREGupMALAT1not changedANXA2P2not changed ) was associated with poorer oocyte competence prognosis and SDC4not changedAREGdownMALAT1downANXA2P2down set of biomarkers was associated with better quality of oocytes. Conclusions: This non-invasive method can be used to access oocyte quality in patients with primary and secondary infertility.

Authors

Institutions

Publication Details

Journal
Russian Journal of Bioorganic Chemistry
Published
2024-12-01
DOI
https://doi.org/10.1134/s1068162024090012
Citations
2
Primary Topic
Reproductive Biology and Fertility
Type
article
Field-Weighted Citation Impact
1.09
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Molecular Biological Approaches to Human Oocyte Developmental Competence Prognosis

А. С. Калугина, E. O. Bashendjieva, Д. И. Остромышенский, Nikita V. Ponomartsev et al.
2 citations
Russian Journal of Bioorganic Chemistry
Reproductive Biology and Fertility
1.09
article

Molecular Biological Approaches to Human Oocyte Developmental Competence Prognosis

А. С. Калугина, E. O. Bashendjieva, Д. И. Остромышенский, Nikita V. Ponomartsev, Natella I. Enukashvily, J. A. Tatishcheva, A. R. Smolyaninova
article en
2 citations

Abstract

Objective: Cumulus cells respond to the effects of hormones and signalling molecules synthesised by the oocyte by changing their expression profile. In turn, cumulus cells control the growth and maturation of the oocyte. Therefore, analysis of the transcriptional profile of cumulus cells is likely to be one of the approaches for non-invasive prediction of oocyte quality in assisted reproductive technology programs. To evaluate the expression of selected genes in cumulus cells in women with primary and secondary types of infertility with positive and negative results of assisted reproductive technologies. Methods: 9 healthy donors and 19 patients undergoing infertility treatment with ART methods participated in the study. RNA was isolated from cumulus cells obtained during oocyte preparation for fertilisation, and cDNA was synthesised and used as a matrix for real-time PCR with primers for AREG, SCD4, PTGS, SCD5, HAS2, VCAN, STAR and two lncRNA genes (ANXA2P2, MALAT1). Results and Discussion: The genes of interest expression did not depend on the type of infertility but rather on the IVF attempt outcome. The panel of mRNA biomarkers (SDC4upAREGupMALAT1not changedANXA2P2not changed ) was associated with poorer oocyte competence prognosis and SDC4not changedAREGdownMALAT1downANXA2P2down set of biomarkers was associated with better quality of oocytes. Conclusions: This non-invasive method can be used to access oocyte quality in patients with primary and secondary infertility.

Russian Journal of Bioorganic ChemistryVol. 50(6)
First Pavlov State Medical University of St. Petersburg (RU), Institute of Cytology (RU), Russian Scientific Center of Radiology and Surgical Technologies (RU)
Zero hunger
Openalex Percentile: Top 19%
Reproductive Biology and Fertility
1.09
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.