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Published on: August 28, 2012
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Models and Biomarkers for Ovarian Ageing
1School of Computer Science, University of St Andrews, St Andrews, UK. twk@st-andrews.ac.uk.
Sub-Cellular Biochemistry
|April 29, 2023
Summary
Assessing ovarian reserve involves evaluating non-growing follicles (NGFs). Current methods use biomarkers like anti-Müllerian hormone (AMH) and antral follicle count (AFC) to estimate ovarian reserve, as direct NGF counting is impossible.
Area of Science:
- Reproductive biology and endocrinology.
- Gerontology and menopause research.
Background:
- Ovarian reserve, defined by non-growing follicles (NGFs), declines with age, influencing menopause onset.
- Accurate assessment of ovarian reserve is crucial for reproductive health and fertility management.
- Direct counting of NGFs in vivo is currently not technologically feasible.
Purpose of the Study:
- To explore the concept of ovarian reserve and its assessment.
- To review and compare existing biomarkers for estimating ovarian reserve.
- To discuss recent advances and future directions in ovarian reserve research.
Main Methods:
- Review of existing literature and models for ovarian reserve assessment.
- Analysis of serum biomarkers: anti-Müllerian hormone (AMH) and follicle-stimulating hormone (FSH).
- Assessment of ultrasound-based markers: ovarian volume (OV) and antral follicle count (AFC).
Main Results:
- Ovarian volume (OV) shows promise as a biomarker across a wide age range.
- Anti-Müllerian hormone (AMH) and antral follicle count (AFC) are popular and effective for post-pubertal and pre-menopausal ages.
- Genetic and subcellular biomarkers have yielded less definitive results to date.
Conclusions:
- Biomarkers like AMH, FSH, OV, and AFC are essential for non-invasive ovarian reserve estimation.
- Further research is needed to refine existing biomarkers and explore novel genetic and subcellular markers.
- Understanding ovarian reserve dynamics is key to managing reproductive aging and fertility.

