Literature DB >> 35944168

Markers of ovarian reserve are associated with reproductive age acceleration in granulosa cells from IVF patients.

A K Knight1, H S Hipp2, S Abhari3, S A Gerkowicz4, Q S Katler2, L J McKenzie5, W Shang2, A K Smith1, J B Spencer2.   

Abstract

STUDY QUESTION: Is reproductive aging in granulosa cells associated with markers of ovarian reserve? SUMMARY ANSWER: Age acceleration was associated with anti-Mullerian hormone (AMH) levels, antral follicle count (AFC), oocyte yield and maturity, and the number of successfully fertilized embryos. WHAT IS KNOWN ALREADY: The rate of reproductive aging varies among women of the same age. DNA methylation can be used to predict epigenetic age in a variety of tissues. STUDY DESIGN, SIZE, DURATION: This was a cross-sectional study of 70 women at the time of oocyte retrieval. PARTICIPANTS/MATERIALS, SETTING,
METHODS: The 70 participants were recruited for this study at an academic medical center and they provided follicular fluid samples at the time of oocyte retrieval. Granulosa cells were isolated and assessed on the MethylationEPIC array. Linear regression was used to evaluate the associations between DNA methylation-based age predictions from granulosa cells and chronological age. Age acceleration was calculated as the residual of regressing DNA methylation-based age on chronological age. Linear regressions were used to determine the associations between age acceleration and markers of ovarian reserve and IVF cycle outcomes. MAIN RESULTS AND THE ROLE OF CHANCE: Participants were a mean of 36.7 ± 3.9 years old. In regards to race, 54% were white, 19% were African American and 27% were of another background. Age acceleration was normally distributed and not associated with chronological age. Age acceleration was negatively associated with AMH levels (t = -3.1, P = 0.003) and AFC (t = -4.0, P = 0.0001), such that women with a higher age acceleration had a lower ovarian reserve. Age acceleration was also negatively correlated with the total number of oocytes retrieved (t = -3.9, P = 0.0002), the number of mature oocytes (t = -3.8, P = 0.0003) and the number of fertilized oocytes or two-pronuclear oocytes (t = -2.8, P = 0.008) in the main analysis. LIMITATIONS, REASONS FOR CAUTION: This study used pooled follicular fluid, which does not allow for the investigation of individual follicles. Infertility patients may also be different from the general population, but, as we used granulosa cells, the participants had to be from an IVF population. WIDER IMPLICATIONS OF THE
FINDINGS: This study demonstrated that epigenetic age and age acceleration can be calculated from granulosa cells collected at the time of oocyte retrieval. GrimAge most strongly predicted chronological age, and GrimAge acceleration was associated with baseline and cycle characteristics as well as cycle outcomes, which indicates its potential clinical relevance in evaluating both oocyte quantity and quality. STUDY FUNDING/COMPETING INTEREST(S): This study was supported by the National Institutes of Health (UL1TR002378) and the Building Interdisciplinary Research Careers in Women's Health Program (K12HD085850) to A.K.K. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The funding source had no role in any aspect of this study. J.B.S. serves as Vice Chair for the American Society for Reproductive Medicine Education Committee, is a Medical Committee Advisor for the Jewish Fertility Foundation and works with Jscreen. J.B.S. has received funding from Georgia Clinical Translational Research Alliance. H.S.H., J.B.S. and A.K.S. have received NIH funding for other projects. A.K.K., S.A.G., S.G., Q.S.K., L.J.M. and W.S. have no conflicts of interest. TRIAL REGISTRATION NUMBER: N/A.
© The Author(s) 2022. Published by Oxford University Press on behalf of European Society of Human Reproduction and Embryology. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  DNA methylation; aging; epigenetic age; follicular fluid; granulosa cells; ovarian reserve

Mesh:

Substances:

Year:  2022        PMID: 35944168      PMCID: PMC9527469          DOI: 10.1093/humrep/deac178

Source DB:  PubMed          Journal:  Hum Reprod        ISSN: 0268-1161            Impact factor:   6.353


  28 in total

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Authors:  Marcelle I Cedars
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Review 2.  Oocyte competency is the key to embryo potential.

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Review 3.  Back to the future: Epigenetic clock plasticity towards healthy aging.

Authors:  Ken Declerck; Wim Vanden Berghe
Journal:  Mech Ageing Dev       Date:  2018-01-11       Impact factor: 5.432

Review 4.  DNA methylation and its basic function.

Authors:  Lisa D Moore; Thuc Le; Guoping Fan
Journal:  Neuropsychopharmacology       Date:  2012-07-11       Impact factor: 7.853

5.  Epigenetic clock measuring age acceleration via DNA methylation levels in blood is associated with decreased oocyte yield.

Authors:  Brent Monseur; Gayathree Murugappan; Jason Bentley; Nelson Teng; Lynn Westphal
Journal:  J Assist Reprod Genet       Date:  2020-04-13       Impact factor: 3.412

Review 6.  Assessing ovarian response: antral follicle count versus anti-Müllerian hormone.

Authors:  Richard Fleming; David B Seifer; John L Frattarelli; Jane Ruman
Journal:  Reprod Biomed Online       Date:  2015-07-03       Impact factor: 3.828

7.  Genome-wide methylation profiles reveal quantitative views of human aging rates.

Authors:  Gregory Hannum; Justin Guinney; Ling Zhao; Li Zhang; Guy Hughes; SriniVas Sadda; Brandy Klotzle; Marina Bibikova; Jian-Bing Fan; Yuan Gao; Rob Deconde; Menzies Chen; Indika Rajapakse; Stephen Friend; Trey Ideker; Kang Zhang
Journal:  Mol Cell       Date:  2012-11-21       Impact factor: 17.970

8.  Associations of Age, Sex, Race/Ethnicity, and Education With 13 Epigenetic Clocks in a Nationally Representative U.S. Sample: The Health and Retirement Study.

Authors:  Eileen M Crimmins; Bharat Thyagarajan; Morgan E Levine; David R Weir; Jessica Faul
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2021-05-22       Impact factor: 6.053

9.  An epigenetic biomarker of aging for lifespan and healthspan.

Authors:  Morgan E Levine; Ake T Lu; Austin Quach; Brian H Chen; Themistocles L Assimes; Stefania Bandinelli; Lifang Hou; Andrea A Baccarelli; James D Stewart; Yun Li; Eric A Whitsel; James G Wilson; Alex P Reiner; Abraham Aviv; Kurt Lohman; Yongmei Liu; Luigi Ferrucci; Steve Horvath
Journal:  Aging (Albany NY)       Date:  2018-04-18       Impact factor: 5.682

Review 10.  Anti-Müllerian Hormone and Ovarian Reserve: Update on Assessing Ovarian Function.

Authors:  Loes M E Moolhuijsen; Jenny A Visser
Journal:  J Clin Endocrinol Metab       Date:  2020-11-01       Impact factor: 5.958

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