Literature DB >> 22451503

Hormonal and molecular characterization of follicular fluid, cumulus cells and oocytes from pre-ovulatory follicles in stimulated and unstimulated cycles.

Maria José de los Santos1, Virginia García-Láez, Diana Beltrán-Torregrosa, José A Horcajadas, José Antonio Martínez-Conejero, Francisco J Esteban, Antonio Pellicer, Elena Labarta.   

Abstract

BACKGROUND: The use of ovarian stimulation, to stimulate a multi-follicular response for assisted reproduction treatments, may force the production of oocytes from follicles that do not reach optimal maturation, possibly yielding oocytes that are not fully competent. The present study aimed to define the follicular environment and oocyte competence of unstimulated pre-ovulatory follicles, to compare it with that of similar-sized stimulated follicles. For this purpose, we analyzed the follicular hormonal milieu, the oocyte meiotic spindle, the embryo development and the cumulus cells gene expression (GE) profiles. METHODS AND
RESULTS: The study population was divided in two groups: (i) 42 oocyte donors undergoing unstimulated cycles and (ii) 18 oocyte donors undergoing controlled ovarian stimulation cycles (COS). Follicular fluid was analyzed to quantify the concentrations of estradiol (E2), progesterone (P), FSH, LH, testosterone (T) and androstendione (Δ4). T was higher in the COS group, while Δ4, E2 and LH were significantly higher in unstimulated cycles. The cumulus oophorus cells (CC) surrounding the oocyte were removed and their GE profiles were analyzed with microarrays. There were 18 differentially expressed genes in CC: 7 were up-regulated and 11 were down-regulated in the COS cycles. The microarray was validated by qRT-PCR. The analysis of spindle structure revealed no significant differences between the groups, except for the parameter of length which presented differences. The fertilization ability and embryo morphology on Days 2, 3 and 4 did not show any significant differences between groups.
CONCLUSIONS: The use of ovarian stimulation induces changes in the follicular fluid and in CC GE that may affect immune processes, meiosis and ovulation pathways. Although these differences do not seem to relate to early-stage embryo morphology, the implications of some of the molecules, especially ALDH1A2, CTSL and ZNF33B at the CC level, deserve to be addressed in future studies.

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Year:  2012        PMID: 22451503     DOI: 10.1093/humrep/des082

Source DB:  PubMed          Journal:  Hum Reprod        ISSN: 0268-1161            Impact factor:   6.918


  13 in total

Review 1.  The transcriptome of follicular cells: biological insights and clinical implications for the treatment of infertility.

Authors:  Elpida Fragouli; Maria D Lalioti; Dagan Wells
Journal:  Hum Reprod Update       Date:  2013-09-29       Impact factor: 15.610

2.  Differences in cumulus cells gene expression between modified natural and stimulated in vitro fertilization cycles.

Authors:  Tanja Burnik Papler; Eda Vrtačnik Bokal; Klementina Fon Tacer; Peter Juvan; Irma Virant Klun; Rok Devjak
Journal:  J Assist Reprod Genet       Date:  2013-11-13       Impact factor: 3.412

3.  Low estradiol responses in oocyte donors undergoing gonadotropin stimulation do not influence clinical outcomes.

Authors:  Katherine L Palmerola; Briana J Rudick; Rogerio A Lobo
Journal:  J Assist Reprod Genet       Date:  2018-04-27       Impact factor: 3.412

Review 4.  Ovulation: Parallels With Inflammatory Processes.

Authors:  Diane M Duffy; CheMyong Ko; Misung Jo; Mats Brannstrom; Thomas E Curry
Journal:  Endocr Rev       Date:  2019-04-01       Impact factor: 19.871

5.  Influence of Follicular Fluid and Seminal Plasma on The Expression of Endometrial Receptivity Genes in Endometrial Cells.

Authors:  Tamouchin Moharrami; Jafar Ai; Somayeh Ebrahimi-Barough; Mohammad Nouri; Maryam Ziadi; Hossein Pashaiefar; Fatemeh Yazarlou; Mohammad Ahmadvand; Soheil Najafi; Mohammad Hossein Modarressi
Journal:  Cell J       Date:  2020-04-22       Impact factor: 2.479

6.  Serum and follicular fluid thyroid hormone levels and assisted reproductive technology outcomes.

Authors:  Yun Ying Cai; Na Lin; Lan Ping Zhong; Hui Juan Duan; Yun Hua Dong; Ze Wu; Heng Su
Journal:  Reprod Biol Endocrinol       Date:  2019-11-07       Impact factor: 5.211

7.  Impact of exogenous gonadotropin stimulation on circulatory and follicular fluid cytokine profiles.

Authors:  N Ellissa Baskind; Nicolas M Orsi; Vinay Sharma
Journal:  Int J Reprod Med       Date:  2014-11-30

Review 8.  Metabolite Profiling in the Pursuit of Biomarkers for IVF Outcome: The Case for Metabolomics Studies.

Authors:  C McRae; V Sharma; J Fisher
Journal:  Int J Reprod Med       Date:  2013-01-16

Review 9.  The hormonal composition of follicular fluid and its implications for ovarian cancer pathogenesis.

Authors:  Megan M Emori; Ronny Drapkin
Journal:  Reprod Biol Endocrinol       Date:  2014-07-06       Impact factor: 5.211

10.  Apolipoprotein B is regulated by gonadotropins and constitutes a predictive biomarker of IVF outcomes.

Authors:  Elodie Scalici; Shaliha Bechoua; Karine Astruc; Laurence Duvillard; Thomas Gautier; Véronique Drouineaud; Clément Jimenez; Samir Hamamah
Journal:  Reprod Biol Endocrinol       Date:  2016-05-21       Impact factor: 5.211

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