Epigenetic age acceleration in follicular fluid and markers of ovarian response among women undergoing IVF

被引:0
|
作者
Hood, Robert B. [1 ]
Everson, Todd M. [2 ]
Ford, Jennifer B. [3 ]
Hauser, Russ [3 ]
Knight, Anna [4 ]
Smith, Alicia K. [4 ]
Gaskins, Audrey J. [1 ]
机构
[1] Emory Univ, Rollins Sch Publ Hlth, Dept Epidemiol, 1518 Clifton Rd,CNR 4051, Atlanta, GA 30324 USA
[2] Emory Univ, Rollins Sch Publ Hlth, Gangarosa Dept Environm Hlth, Atlanta, CA USA
[3] Harvard TH Chan Sch Publ Hlth, Dept Environm Hlth, Boston, MA USA
[4] Emory Univ, Sch Med, Dept Gynecol & Obstet, Atlanta, GA USA
关键词
follicular fluid; Horvath age acceleration; GrimAge age acceleration; granulosa cell age acceleration; ovarian response; CELLS;
D O I
10.1093/humrep/deae136
中图分类号
R71 [妇产科学];
学科分类号
100211 ;
摘要
STUDY QUESTION Are markers of epigenetic age acceleration in follicular fluid associated with outcomes of ovarian stimulation?SUMMARY ANSWER Increased epigenetic age acceleration of follicular fluid using the Horvath clock, but not other epigenetic clocks (GrimAge and Granulosa Cell), was associated with lower peak estradiol levels and decreased number of total and mature oocytes.WHAT IS KNOWN ALREADY In granulosa cells, there are inconsistent findings between epigenetic age acceleration and ovarian response outcomes.STUDY DESIGN, SIZE, DURATION Our study included 61 women undergoing IVF at an academic fertility clinic in the New England area who were part of the Environment and Reproductive Health Study (2006-2016).PARTICIPANTS/MATERIALS, SETTING, METHODS Participants provided a follicular fluid sample during oocyte retrieval. DNA methylation of follicular fluid was assessed using a genome-wide methylation screening tool. Three established epigenetic clocks (Horvath, GrimAge, and Granulosa Cell) were used to predict DNA-methylation-based epigenetic age. To calculate the age acceleration, we regressed epigenetic age on chronological age and extracted the residuals. The association between epigenetic age acceleration and ovarian response outcomes (peak estradiol levels, follicle stimulation hormone, number of total, and mature oocytes) was assessed using linear and Poisson regression adjusted for chronological age, three surrogate variables (to account for cellular heterogeneity), race, smoking status, initial infertility diagnosis, and stimulation protocol.MAIN RESULTS AND ROLE OF CHANCE Compared to the median chronological age of our participants (34 years), the Horvath clock predicted, on an average, a younger epigenetic age (median: 24.2 years) while the GrimAge (median: 38.6 years) and Granulosa Cell (median: 39.0 years) clocks predicted, on an average, an older epigenetic age. Age acceleration based on the Horvath clock was associated with lower peak estradiol levels (-819.4 unit decrease in peak estradiol levels per standard deviation increase; 95% CI: -1265.7, -373.1) and fewer total (% change in total oocytes retrieved per standard deviation increase: -21.8%; 95% CI: -37.1%, -2.8%) and mature oocytes retrieved (% change in mature oocytes retrieved per standard deviation increase: -23.8%; 95% CI: -39.9%, -3.4%). The age acceleration based on the two other epigenetic clocks was not associated with markers of ovarian response.LIMITATIONS, REASONS FOR CAUTION Our sample size was small and we did not specifically isolate granulosa cells from follicular fluid samples so our samples could have included mixed cell types.WIDER IMPLICATIONS OF THE FINDINGS Our results highlight that certain epigenetic clocks may be predictive of ovarian stimulation outcomes when applied to follicular fluid; however, the inconsistent findings for specific clocks across studies indicate a need for further research to better understand the clinical utility of epigenetic clocks to improve IVF treatment.STUDY FUNDING/COMPETING INTEREST(S) The study was supported by grants ES009718, ES022955, ES000002, and ES026648 from the National Institute of Environmental Health Sciences (NIEHS) and a pilot grant from the NIEHS-funded HERCULES Center at Emory University (P30 ES019776). RBH was supported by the Emory University NIH Training Grant (T32-ES012870).TRIAL REGISTRATION NUMBER N/A.
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