Literature DB >> 33522318

Prediction of premature ovarian insufficiency: foolish fallacy or feasible foresight?

S M Nelson1,2,3, R A Anderson4.   

Abstract

Prediction of premature ovarian insufficiency (POI) would be of substantial individual benefit, but being a heterogeneous and fluctuating condition, with an extensive range of complex etiologies and arbitrary diagnostic criteria, might make this seem foolhardy. However, contemporary and complementary genetic strategies assessing consanguineous and large POI pedigrees and cohorts with age at natural menopause have shown strong enrichment in genes regulating DNA damage repair, homologous recombination, and meiosis, processes that are critical to oogenesis and folliculogenesis. Recognition of the molecular architecture of POI and its contribution to baseline genotypic risk may enable these estimates to be refined further by estimation of the residual ovarian reserve. Increasing data derived from spontaneous and gonadotoxic-induced POI cohorts demonstrate the utility of anti-Müllerian hormone (AMH) to predict POI. This review presents current understanding of how genetics in combination with AMH may facilitate the prediction of POI.

Entities:  

Keywords:  Premature ovarian insufficiency; anti-Müllerian hormone; genetics; ovarian reserve; prediction models

Mesh:

Substances:

Year:  2021        PMID: 33522318     DOI: 10.1080/13697137.2020.1868426

Source DB:  PubMed          Journal:  Climacteric        ISSN: 1369-7137            Impact factor:   3.005


  2 in total

1.  Whole Ovary Immunofluorescence, Clearing, and Multiphoton Microscopy for Quantitative 3D Analysis of the Developing Ovarian Reserve in Mouse.

Authors:  Ruby Boateng; Nathaniel Boechat; Philipp P Henrich; Ewelina Bolcun-Filas
Journal:  J Vis Exp       Date:  2021-09-03       Impact factor: 1.355

2.  Biallelic mutations in PSMC3IP are associated with secondary amenorrhea: expanding the spectrum of premature ovarian insufficiency.

Authors:  Fabio Sirchia; Elisa Giorgio; Laura Cucinella; Enza Maria Valente; Rossella E Nappi
Journal:  J Assist Reprod Genet       Date:  2022-03-29       Impact factor: 3.357

  2 in total

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