Literature DB >> 33397408

Age-related decline in the expression of GDF9 and BMP15 genes in follicle fluid and granulosa cells derived from poor ovarian responders.

Yan Gong1, Jesse Li-Ling2, Dongsheng Xiong3, Jiajing Wei3, Taiqing Zhong4, Hao Tan5.   

Abstract

BACKGROUND: Growth differentiation factor 9 (GDF9) and bone morphogenetic protein 15 (BMP15) genes play important roles in folliculogenesis. Altered expression of the two have been found among patients with poor ovarian response (POR). In this prospective cohort study, we have determined the expression of the GDF9 and BMP15 genes in follicle fluid (FF) and granulosa cells (GCs) derived from poor ovarian responders grouped by age, and explored its correlation with the outcome of in vitro fertilization and embryo transfer (IVF-ET) treatment.
METHODS: A total of 196 patients with POR were enrolled from a tertiary teaching hospital. The patients were diagnosed by the Bologna criteria and sub-divided into group A (< 35 year old), group B (35-40 year old), and group C (> 40 year old). A GnRH antagonist protocol was conducted for all patients, and FF and GCs were collected after oocyte retrieval. Expression of the GDF9 and BMP15 genes in the FF and GCs was determined with enzyme-linked immunosorbent assay (ELISA), quantitative real-time polymerase chain reaction (qRT-PCR) and Western blotting.
RESULTS: Compared with group C, groups A and B had significantly more two pronuclei (2PN) oocytes and transplantable embryos, in addition with higher rates of implantation and clinical pregnancy (P <  0.05). The expression level of GDF9 and BMP15 genes in the FF and GCs differed significantly among the three groups (P <  0.05), showing a trend of decline along with age. The ratio of GDF9/BMP15 mRNA levels were similar among the three groups (P > 0.05). The relative levels of GDF9 and BMP15 proteins in GCs have correlated with the relative mRNA levels in GCs and protein concentrations in FF (P <  0.05).
CONCLUSIONS: For poor ovarian responders, in particular those over 40, the expression of GDF9 and BMP15 is declined along with increased age and in accompany with poorer oocyte quality and IVF outcome, whilst the ratio of GDF9/BMP15 mRNA levels remained relatively constant. TRIAL REGISTRATION: Chinese Clinical Trial Registry Center ( ChiCTR1800016107 ). Registered on 11 May 2018.

Entities:  

Keywords:  Age; BMP15 gene; GDF9 gene; In vitro fertilization; Poor ovarian response

Year:  2021        PMID: 33397408     DOI: 10.1186/s13048-020-00757-x

Source DB:  PubMed          Journal:  J Ovarian Res        ISSN: 1757-2215            Impact factor:   4.234


  39 in total

Review 1.  Addition of growth hormone to gonadotrophins in ovarian stimulation of poor responders treated by in-vitro fertilization: a systematic review and meta-analysis.

Authors:  E M Kolibianakis; C A Venetis; K Diedrich; B C Tarlatzis; G Griesinger
Journal:  Hum Reprod Update       Date:  2009-06-26       Impact factor: 15.610

Review 2.  The poor responder in IVF: is the prognosis always poor?: a systematic review.

Authors:  J F Oudendijk; F Yarde; M J C Eijkemans; F J M Broekmans; S L Broer
Journal:  Hum Reprod Update       Date:  2011-10-10       Impact factor: 15.610

3.  Younger poor ovarian response women achieved better pregnancy results in the first three IVF cycles.

Authors:  Yajuan Yang; Xiuhua Sun; Linlin Cui; Yan Sheng; Rong Tang; Daimin Wei; Yingying Qin; Weiping Li; Zi-Jiang Chen
Journal:  Reprod Biomed Online       Date:  2016-03-08       Impact factor: 3.828

4.  ESHRE consensus on the definition of 'poor response' to ovarian stimulation for in vitro fertilization: the Bologna criteria.

Authors:  A P Ferraretti; A La Marca; B C J M Fauser; B Tarlatzis; G Nargund; L Gianaroli
Journal:  Hum Reprod       Date:  2011-04-19       Impact factor: 6.918

5.  Bologna criteria are predictive for ovarian response and live birth in subsequent ovarian stimulation cycles.

Authors:  Kayhan Yakin; Ozgur Oktem; Basak Balaban; Bulent Urman
Journal:  Arch Gynecol Obstet       Date:  2018-11-27       Impact factor: 2.344

6.  The clinical analysis of poor ovarian response in in-vitro-fertilization embryo-transfer among Chinese couples.

Authors:  X M Zhen; J Qiao; R Li; L N Wang; P Liu
Journal:  J Assist Reprod Genet       Date:  2008-01-18       Impact factor: 3.412

7.  Implementing the ESHRE 'poor responder' criteria in research studies: methodological implications.

Authors:  Athanasios Papathanasiou
Journal:  Hum Reprod       Date:  2014-06-10       Impact factor: 6.918

8.  Age, independent from ovarian reserve status, is the main prognostic factor in natural cycle in vitro fertilization.

Authors:  Iñaki González-Foruria; Juana Peñarrubia; Aina Borràs; Dolors Manau; Gemma Casals; Sara Peralta; Montserrat Creus; Janisse Ferreri; Ester Vidal; Francisco Carmona; Juan Balasch; Francisco Fàbregues
Journal:  Fertil Steril       Date:  2016-04-23       Impact factor: 7.329

Review 9.  The Bologna criteria for poor ovarian response: a contemporary critical appraisal.

Authors:  Johnny S Younis; Moshe Ben-Ami; Izhar Ben-Shlomo
Journal:  J Ovarian Res       Date:  2015-11-17       Impact factor: 4.234

Review 10.  Effective treatment protocol for poor ovarian response: A systematic review and meta-analysis.

Authors:  Yadava Bapurao Jeve; Harish Malappa Bhandari
Journal:  J Hum Reprod Sci       Date:  2016 Apr-Jun
View more
  5 in total

1.  Development and Validation of a Clinical Pregnancy Failure Prediction Model for Poor Ovarian Responders During IVF/ICSI.

Authors:  Fangyuan Li; Ruihui Lu; Cheng Zeng; Xin Li; Qing Xue
Journal:  Front Endocrinol (Lausanne)       Date:  2021-08-23       Impact factor: 5.555

2.  Single-Cell RNA-Seq Revealed the Gene Expression Pattern during the In Vitro Maturation of Donkey Oocytes.

Authors:  Zhipeng Li; Xinhui Song; Shan Yin; Jiageng Yan; Peiru Lv; Huiquan Shan; Kuiqing Cui; Hongbo Liu; Qingyou Liu
Journal:  Genes (Basel)       Date:  2021-10-19       Impact factor: 4.096

Review 3.  Role of Granulosa Cells in the Aging Ovarian Landscape: A Focus on Mitochondrial and Metabolic Function.

Authors:  Hannah C Alberico; Dori C Woods
Journal:  Front Physiol       Date:  2022-01-27       Impact factor: 4.566

4.  Large-scale DNA demethylation occurs in proliferating ovarian granulosa cells during mouse follicular development.

Authors:  Tomoko Kawai; JoAnne S Richards; Masayuki Shimada
Journal:  Commun Biol       Date:  2021-11-25

5.  Comprehensive analysis of miRNA-mRNA interactions in ovaries of aged mice.

Authors:  Jihyun Kim; Sooseong You
Journal:  Anim Sci J       Date:  2022-01       Impact factor: 1.974

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.