journal article Aug 09, 2022

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

View at Publisher Save 10.1093/humrep/deac178
Abstract
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
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References
30
[1]
Aryee "Minfi: a flexible and comprehensive Bioconductor package for the analysis of Infinium DNA methylation microarrays" Bioinformatics (2014) 10.1093/bioinformatics/btu049
[2]
Barfield "CpGassoc: an R function for analysis of DNA methylation microarray data" Bioinformatics (2012) 10.1093/bioinformatics/bts124
[3]
Bassil "Can oocyte diameter predict embryo quality?" Reprod Sci (2021) 10.1007/s43032-020-00306-3
[4]
Bonasio "Molecular signals of epigenetic states" Science (2010) 10.1126/science.1191078
[5]
Broekmans "Ovarian aging: mechanisms and clinical consequences" Endocr Rev (2009) 10.1210/er.2009-0006
[6]
Cedars "Biomarkers of ovarian reserve—do they predict somatic aging?" Semin Reprod Med (2013) 10.1055/s-0033-1356480
[7]
Centers for Disease Control and Prevention (2017)
[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

Eileen M Crimmins, Bharat Thyagarajan, Morgan E Levine et al.

The Journals of Gerontology Series A: Biological S... 2021 10.1093/gerona/glab016
[9]
Declerck "Back to the future: epigenetic clock plasticity towards healthy aging" Mech Ageing Dev (2018) 10.1016/j.mad.2018.01.002
[10]
Devjak "Embryo quality predictive models based on cumulus cells gene expression" Balkan J Med Genet (2016) 10.1515/bjmg-2016-0001
[11]
Fleming "Assessing ovarian response: antral follicle count versus anti-Mullerian hormone" Reprod Biomed Online (2015) 10.1016/j.rbmo.2015.06.015
[12]
Gardner (1999)
[13]
Genome-wide Methylation Profiles Reveal Quantitative Views of Human Aging Rates

Gregory Hannum, Justin Guinney, Ling Zhao et al.

Molecular Cell 2013 10.1016/j.molcel.2012.10.016
[14]
DNA methylation age of human tissues and cell types

Steve Horvath

Genome Biology 2013 10.1186/gb-2013-14-10-r115
[15]
Joseph "DNA methylation in development and disease: an overview for prostate researchers" Am J Clin Exp Urol (2018)
[16]
Keefe "Oocyte competency is the key to embryo potential" Fertil Steril (2015) 10.1016/j.fertnstert.2014.12.115
[17]
An epigenetic biomarker of aging for lifespan and healthspan

Morgan E. Levine, Ake T. Lu, Austin Quach et al.

Aging 2018 10.18632/aging.101414
[18]
DNA methylation GrimAge strongly predicts lifespan and healthspan

Ake T. Lu, Austin Quach, James G. Wilson et al.

Aging 2019 10.18632/aging.101684
[19]
MacLennan "Oocyte development, meiosis and aneuploidy" Semin Cell Dev Biol (2015) 10.1016/j.semcdb.2015.10.005
[20]
McCartney "Identification of polymorphic and off-target probe binding sites on the Illumina Infinium MethylationEPIC BeadChip" Genom Data (2016) 10.1016/j.gdata.2016.05.012
[21]
McKenzie "Human cumulus granulosa cell gene expression: a predictor of fertilization and embryo selection in women undergoing IVF" Hum Reprod (2004) 10.1093/humrep/deh535
[22]
Epigenetic clock measuring age acceleration via DNA methylation levels in blood is associated with decreased oocyte yield

Brent Monseur, Gayathree Murugappan, Jason Bentley et al.

Journal of Assisted Reproduction and Genetics 2020 10.1007/s10815-020-01763-0
[23]
Moolhuijsen "Anti-mullerian hormone and ovarian reserve: update on assessing ovarian function" J Clin Endocrinol Metab (2020) 10.1210/clinem/dgaa513
[24]
Moore "DNA methylation and its basic function" Neuropsychopharmacology (2013) 10.1038/npp.2012.112
[26]
Olsen "A distinctive epigenetic ageing profile in human granulosa cells" Hum Reprod (2020) 10.1093/humrep/deaa071
[27]
Perheentupa "Aging of the human ovary and testis" Mol Cell Endocrinol (2009) 10.1016/j.mce.2008.11.004
[28]
Singh "Intrafollicular interleukin-8, interleukin-12, and adrenomedullin are the promising prognostic markers of oocyte and embryo quality in women with endometriosis" J Assist Reprod Genet (2016) 10.1007/s10815-016-0782-5
[29]
Sunderam "Assisted reproductive technology surveillance—United States, 2016" MMWR Surveill Summ (2019) 10.15585/mmwr.ss6804a1
[30]
te Velde "The variability of female reproductive ageing" Hum Reprod Update (2002) 10.1093/humupd/8.2.141
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Citations
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References
Details
Published
Aug 09, 2022
Vol/Issue
37(10)
Pages
2438-2445
License
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Funding
National Institutes of Health Award: UL1TR002378
Building Interdisciplinary Research Careers in Women’s Health Award: K12HD085850
Cite This Article
A K Knight, H S Hipp, S Abhari, et al. (2022). Markers of ovarian reserve are associated with reproductive age acceleration in granulosa cells from IVF patients. Human Reproduction, 37(10), 2438-2445. https://doi.org/10.1093/humrep/deac178