Literature DB >> 24101222

Predicting reproductive age with biomarkers of ovarian reserve--how (and what) are we measuring?

Karl R Hansen1.   

Abstract

Predicting the reproductive lifespan of an individual woman remains an elusive, yet clinically important, goal. The development of models and staging systems that accurately determine the end of natural fertility and the anticipated age of menopause will represent a significant advance in our ability to counsel women regarding family planning issues and in the individualization of risk assessment. Recent histological and longitudinal investigations have demonstrated a significant relationship between commonly used clinical markers of ovarian reserve and the true ovarian reserve, as assessed by the ovarian nongrowing follicle count and the age of menopause, respectively. Models and staging systems that have been developed based on these findings represent important advances in the field of women's health and promise to provide additional insights into the process of reproductive aging in general. Although the models developed to date appear to improve the prediction of the age of menopause as compared with chronological age alone, wide confidence intervals in the predicted age of menopause and less accurate predictions at ages remote from menopause limit their clinical utility for the individual woman. Future longitudinal and histological investigations are necessary to improve the accuracy of models of reproductive aging. Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

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Year:  2013        PMID: 24101222     DOI: 10.1055/s-0033-1356477

Source DB:  PubMed          Journal:  Semin Reprod Med        ISSN: 1526-4564            Impact factor:   1.303


  5 in total

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Authors:  Stephanie V Koebele; Justin M Palmer; Bryanna Hadder; Ryan Melikian; Carly Fox; Isabel M Strouse; Dale F DeNardo; Christina George; Emily Daunis; Adrianna Nimer; Loretta P Mayer; Cheryl A Dyer; Heather A Bimonte-Nelson
Journal:  Endocrinology       Date:  2019-01-01       Impact factor: 4.736

2.  Trajectories and phenotypes with estrogen exposures across the lifespan: What does Goldilocks have to do with it?

Authors:  Stephanie V Koebele; Heather A Bimonte-Nelson
Journal:  Horm Behav       Date:  2015-06-27       Impact factor: 3.587

3.  Anti Mullerian Hormone: Ovarian response indicator in young patients receiving Long GnRH Agonist Protocol for Ovarian Stimulation.

Authors:  Zehra Jamil; Syeda Sadia Fatima; Rehana Rehman; Faiza Alam; Sara Arif
Journal:  Pak J Med Sci       Date:  2016 Jul-Aug       Impact factor: 1.088

4.  Transcriptional landscape of mouse-aged ovaries reveals a unique set of non-coding RNAs associated with physiological and environmental ovarian dysfunctions.

Authors:  Massimo Mallardo; Concetta Ambrosino; Danila Cuomo; Immacolata Porreca; Michele Ceccarelli; David W Threadgill; William T Barrington; Annacristina Petriella; Fulvio D'Angelo; Gilda Cobellis; Francesca De Stefano; Maria N D'Agostino; Mario De Felice
Journal:  Cell Death Discov       Date:  2018-12-05

5.  Searching for female reproductive aging and longevity biomarkers.

Authors:  Svetlana Yureneva; Viktoriya Averkova; Denis Silachev; Andrey Donnikov; Alla Gavisova; Vladimir Serov; Gennady Sukhikh
Journal:  Aging (Albany NY)       Date:  2021-06-22       Impact factor: 5.682

  5 in total

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