DNA methylation-based age prediction and telomere length in white blood cells and cumulus cells of infertile women with normal or poor response to ovarian stimulation.

Authors

Scott J. Morin, IVIRMA New Jersey; Thomas Jefferson University
Xin Tao, Foundation for Embryonic Competence
Diego Marin, IVIRMA New Jersey; Thomas Jefferson UniversityFollow
Yiping Zhan, Foundation for Embryonic Competence
Jessica Landis, Foundation for Embryonic Competence
Jenna Bedard, Foundation for Embryonic Competence
Richard T. Scott, IVIRMA New Jersey; Thomas Jefferson University
Emre Seli, IVIRMA New Jersey; Yale School of Medicine

Document Type

Article

Publication Date

12-1-2018

Comments

This article has been peer reviewed. It is the author’s final published version in Aging, Volume 10, Issue 12, December 2018, Pages 3761-3773.

The published version is available at https://doi.org/10.18632/aging.101670. Copyright © Morin et al.

Abstract

An algorithm assessing the methylation levels of 353 informative CpG sites in the human genome permits accurate prediction of the chronologic age of a subject. Interestingly, when there is discrepancy between the predicted age and chronologic age (age acceleration or "AgeAccel"), patients are at risk for morbidity and mortality. Identification of infertile patients at risk for accelerated reproductive senescence may permit preventative action. This study aimed to assess the accuracy of the "epigenetic clock" concept in reproductive age women undergoing fertility treatment by applying the age prediction algorithm in peripheral (white blood cells [WBCs]) and follicular somatic cells (cumulus cells [CCs]), and to identify whether women with premature reproductive aging (diminished ovarian reserve) were at risk of AgeAccel in their age prediction. Results indicated that the epigenetic algorithm accurately predicts age when applied to WBCs but not to CCs. The age prediction of CCs was substantially younger than chronologic age regardless of the patient's age or response to stimulation. In addition, telomeres of CCs were significantly longer than that of WBCs. Our findings suggest that CCs do not demonstrate changes in methylome-predicted age or telomere-length in association with increasing female age or ovarian response to stimulation.

Recommended Citation

Morin, Scott J.; Tao, Xin; Marin, Diego; Zhan, Yiping; Landis, Jessica; Bedard, Jenna; Scott, Richard T.; and Seli, Emre, "DNA methylation-based age prediction and telomere length in white blood cells and cumulus cells of infertile women with normal or poor response to ovarian stimulation." (2018). Department of Biochemistry and Molecular Biology Faculty Papers. Paper 146.
https://jdc.jefferson.edu/bmpfp/146

Creative Commons License

This work is licensed under a Creative Commons Attribution 3.0 License.

PubMed ID

30530921

Language

English