Literature DB >> 21897233

Ovarian aging: latest thoughts on assessment and management.

Johnny S Younis1.   

Abstract

PURPOSE OF REVIEW: In the past few decades, women have been intentionally delaying pregnancy and ovarian aging has become one of the most detrimental factors of pregnancy achievement. This review will discuss contemporary methods of ovarian aging assessment and present an overview of current management strategies. RECENT
FINDINGS: Antimullerian hormone (AMH) and antral follicle count (AFC) seem to be the most reliable predictors of ovarian aging appraisal. Nevertheless, they have not been shown to predict pregnancy achievement in assisted reproduction. Heritability has a high impact on ovarian aging. Employing several genetic approaches, it is now being widely investigated, but the task is far from being accomplished. Although multivariate models have not been proven to be superior to AFC, new data support the notion that chronological age and genetic markers inclusion may increase their reliability. Several strategies have been suggested to treat ovarian aging in assisted reproductive technology (ART) settings. None of the stimulation protocol manipulations have been found to be advantageous and individualization of treatment is still recommended. Ovarian priming by different androgen preparations has been shown to be promising but more randomized controlled trials are needed to support these findings. Except for oocyte donation other ART strategies have not shown a convincing benefit for ovarian aging. The new development of oocyte vitrification may well introduce opportunities for fertility preservation to women at risk of ovarian aging.
SUMMARY: Proper assessment and detection of ovarian aging, employing current or developing predictors of ovarian reserve, especially genetic tests, may enable health providers to recommend, at appropriate biological time, early pregnancy achievement or fertility preservation in women at risk.

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Year:  2011        PMID: 21897233     DOI: 10.1097/GCO.0b013e32834b92b0

Source DB:  PubMed          Journal:  Curr Opin Obstet Gynecol        ISSN: 1040-872X            Impact factor:   1.927


  8 in total

1.  Impairment of Pol β-related DNA base-excision repair leads to ovarian aging in mice.

Authors:  Ke Hua; Liping Wang; Junhua Sun; Nanhai Zhou; Yilan Zhang; Feng Ji; Li Jing; Yang Yang; Wen Xia; Zhigang Hu; Feiyan Pan; Xi Chen; Bing Yao; Zhigang Guo
Journal:  Aging (Albany NY)       Date:  2020-11-20       Impact factor: 5.682

2.  Impairment of BRCA1-related DNA double-strand break repair leads to ovarian aging in mice and humans.

Authors:  Shiny Titus; Fang Li; Robert Stobezki; Komala Akula; Evrim Unsal; Kyungah Jeong; Maura Dickler; Mark Robson; Fred Moy; Sumanta Goswami; Kutluk Oktay
Journal:  Sci Transl Med       Date:  2013-02-13       Impact factor: 17.956

3.  Age-Specific Gene Expression Profiles of Rhesus Monkey Ovaries Detected by Microarray Analysis.

Authors:  Hengxi Wei; Xiangjie Liu; Jihong Yuan; Li Li; Dongdong Zhang; Xinzheng Guo; Lin Liu; Shouquan Zhang
Journal:  Biomed Res Int       Date:  2015-09-02       Impact factor: 3.411

Review 4.  The Bologna criteria for poor ovarian response: a contemporary critical appraisal.

Authors:  Johnny S Younis; Moshe Ben-Ami; Izhar Ben-Shlomo
Journal:  J Ovarian Res       Date:  2015-11-17       Impact factor: 4.234

5.  Early-life factors and adult anti-Müllerian hormone levels.

Authors:  Uri Pinchas Dior; Gilad Karavani; Valerie Soloveichick; Yechiel Friedlander; Hagit Hochner
Journal:  J Assist Reprod Genet       Date:  2021-07-29       Impact factor: 3.412

6.  Predictive factors for ovarian response in a corifollitropin alfa/GnRH antagonist protocol for controlled ovarian stimulation in IVF/ICSI cycles.

Authors:  Sergio Oehninger; Scott M Nelson; Pierre Verweij; Barbara J Stegmann
Journal:  Reprod Biol Endocrinol       Date:  2015-10-31       Impact factor: 5.211

7.  Comparison of corifollitropin alfa and daily recombinant follicle-stimulating hormone in poor responder patients undergoing in vitro fertilization cycles.

Authors:  Süleyman Akarsu; Sibel Demir; Funda Gode; Ahmet Zeki Işık
Journal:  Turk J Obstet Gynecol       Date:  2017-12-30

8.  Dynamic Changes of DNA Methylation and Transcriptome Expression in Porcine Ovaries during Aging.

Authors:  Xiaoyu Xi; Qin Zou; Yingying Wei; Yan Chen; Xue Wang; Daojun Lv; Peilin Li; Anxiang Wen; Li Zhu; Guoqing Tang; Jideng Ma; Mingzhou Li; Xuewei Li; Yanzhi Jiang
Journal:  Biomed Res Int       Date:  2019-10-30       Impact factor: 3.411

  8 in total

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