Literature DB >> 26718304

The Role of Anti-Müllerian Hormone in the Characterization of the Different Polycystic Ovary Syndrome Phenotypes.

Daniela Romualdi1, C Di Florio2, V Tagliaferri2, S De Cicco2, D Gagliano2, V Immediata2, A Lanzone3, M Guido4.   

Abstract

Rotterdam criteria identified 4 polycystic ovary syndrome (PCOS) phenotypes based on the combination of anovulation (ANOV), hyperandrogenism (HA), and polycystic ovaries (PCOs): phenotype 1 (ANOV + HA + PCO), phenotype 2 (ANOV + HA), phenotype 3 (HA + PCO), and phenotype 4 (ANOV + PCO). Anti-Müllerian hormone (AMH) was suggested to play a pathophysiologic and diagnostic role in this syndrome. The aim of this study was to compare AMH levels among the different phenotypes in relation to clinical, endocrine, and metabolic features. We enrolled 117 women with PCOS (body mass index: 25.89 ± 6.20 kg/m(2), age range: 18-37 years) and 24 controls. Anthropometric characteristics, hirsutism score, ultrasound ovarian features, and hormonal parameters, including AMH, were evaluated. Each participant also underwent an oral glucose tolerance test and an euglycemic-hyperinsulinemic clamp. The prevalence of phenotypes 1 to 4 was 62.4%, 8.6%, 11.1%, and 17.9%, respectively. Body mass index and insulin resistance indexes were similar among the groups. Phenotype 1 showed the highest luteinizing hormone, androgens levels, ovarian volume, and AMH concentrations (9.27 ± 8.17 ng/mL,P< .05) versus phenotype 2 and controls. Phenotype 2 women were hirsute, showed an intermediate free androgen index value, low ovarian volume, and low AMH levels (4.05 ± 4.12 ng/mL). Phenotype 3 showed an intermediate state of HA and slightly augmented AMH levels (5.87 ± 4.35 ng/mL). The clinical and endocrine characteristics of phenotype 4 resembled those of controls, except for higher ovarian volume and AMH levels (7.62 ± 3.85 ng/mL;P< .05). Our results highlight the heterogeneity of the association between increased AMH levels, menstrual dysfunction, and HA in the different PCOS phenotypes, thus offering a key to an understanding of the current controversy on the value of AMH measurement in PCOS.
© The Author(s) 2015.

Entities:  

Keywords:  AMH; PCOS; PCOS phenotype

Mesh:

Substances:

Year:  2015        PMID: 26718304     DOI: 10.1177/1933719115611751

Source DB:  PubMed          Journal:  Reprod Sci        ISSN: 1933-7191            Impact factor:   3.060


  7 in total

1.  Association of testosterone and antimüllerian hormone with time to pregnancy and pregnancy loss in fecund women attempting pregnancy.

Authors:  Lindsey A Sjaarda; Sunni L Mumford; Daniel L Kuhr; Tiffany L Holland; Robert M Silver; Torie C Plowden; Neil J Perkins; Enrique F Schisterman
Journal:  Fertil Steril       Date:  2018-02-07       Impact factor: 7.329

Review 2.  The Pathogenesis of Polycystic Ovary Syndrome (PCOS): The Hypothesis of PCOS as Functional Ovarian Hyperandrogenism Revisited.

Authors:  Robert L Rosenfield; David A Ehrmann
Journal:  Endocr Rev       Date:  2016-07-26       Impact factor: 19.871

3.  Androstenedione response to recombinant human FSH is the most valid predictor of the number of selected follicles in polycystic ovarian syndrome: (a case-control study).

Authors:  Eser Sefik Ozyurek; Tevfik Yoldemir; Gokhan Artar
Journal:  J Ovarian Res       Date:  2017-05-12       Impact factor: 4.234

4.  Threshold value of anti-Mullerian hormone for the diagnosis of polycystic ovary syndrome in Chinese women.

Authors:  Chao-Yan Yue; Lou-Kai-Yi Lu; Meng Li; Qian-Lan Zhang; Chun-Mei Ying
Journal:  PLoS One       Date:  2018-08-28       Impact factor: 3.240

5.  Improving the accuracy and efficacy of diagnosing polycystic ovary syndrome by integrating metabolomics with clinical characteristics: study protocol for a randomized controlled trial.

Authors:  Cheng-Ming Ni; Wen-Long Huang; Yan-Min Jiang; Juan Xu; Ru Duan; Yun-Long Zhu; Xu-Ping Zhu; Xue-Mei Fan; Guo-An Luo; Yi-Ming Wang; Yan-Yu Li; Qing He; Lan Xu
Journal:  Trials       Date:  2020-02-11       Impact factor: 2.279

6.  Correlation of Homeostatic Model Assessment-Insulin Resistance, Anti-Mullerian Hormone, and BMI in the Characterization of Polycystic Ovary Syndrome.

Authors:  Anupama Bahadur; Neha Verma; Rajlaxmi Mundhra; Latika Chawla; Megha Ajmani; Modalavalasa Swetha Sri; Shivaani Arora
Journal:  Cureus       Date:  2021-06-30

7.  Research progress of endometrial receptivity in patients with polycystic ovary syndrome: a systematic review.

Authors:  Xuechun Bai; Lianwen Zheng; Dandan Li; Ying Xu
Journal:  Reprod Biol Endocrinol       Date:  2021-08-06       Impact factor: 5.211

  7 in total

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