Literature DB >> 19580964

The insulin-resistant phenotype of polycystic ovary syndrome.

Pernille Fog Svendsen1, Sten Madsbad, Lisbeth Nilas.   

Abstract

OBJECTIVE: To investigate the individual parameters included in the diagnosis of polycystic ovary syndrome (PCOS), and their impact on insulin sensitivity.
DESIGN: Cross-sectional study.
SETTING: Department of Obstetrics and Gynaecology, Copenhagen University Hospital, Hvidovre, Denmark. PATIENT(S): Sixty-one women; 36 women with PCOS and 25 age- and weight-matched control women were investigated. INTERVENTION(S): Peripheral insulin sensitivity was evaluated by the hyperinsulinemic euglycemic clamp, glucose tolerance by an oral glucose tolerance test (OGTT), and ovarian morphology by transvaginal ultrasonography (TVS). MAIN OUTCOME MEASURE(S): The Rotterdam criteria were used for diagnosing PCOS, and hirsutism was evaluated by the Ferriman Gallwey score. Insulin sensitivity was calculated as the insulin sensitivity index, and whole body insulin sensitivity was assessed by the homeostatic model assessment insulin resistance (IR) index. RESULT(S): Multiple regression analysis showed that body mass index (BMI) and hirsutism were independent predictors of IR evaluated by insulin sensitivity index, whereas BMI, total T, and hirsutism were independent predictors of IR evaluated by the homeostatic model assessment IR index. We found no significant association between ovarian morphology and insulin sensitivity or between menstrual frequency and insulin sensitivity. CONCLUSION(S): The PCOS is associated with IR. Body mass index, hyperandrogenemia, and hyperandrogenism are independent predictors of low insulin sensitivity. Copyright (c) 2010 American Society for Reproductive Medicine. Published by Elsevier Inc. All rights reserved.

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Year:  2009        PMID: 19580964     DOI: 10.1016/j.fertnstert.2009.04.008

Source DB:  PubMed          Journal:  Fertil Steril        ISSN: 0015-0282            Impact factor:   7.329


  7 in total

1.  Association study of gene LPP in women with polycystic ovary syndrome.

Authors:  Bo Zhang; Han Zhao; Tao Li; Xuan Gao; Qin Gao; Rong Tang; Jiangtao Zhang; Zi-Jiang Chen
Journal:  PLoS One       Date:  2012-10-03       Impact factor: 3.240

2.  Hirsutism and body mass index in a representative sample of Iranian people.

Authors:  Farahnaz Fatemi Naeini; Jamshid Najafian; Noushin Jazebi
Journal:  ARYA Atheroscler       Date:  2012

3.  A case-control observational study of insulin resistance and metabolic syndrome among the four phenotypes of polycystic ovary syndrome based on Rotterdam criteria.

Authors:  Avin S Jamil; Shahla K Alalaf; Namir G Al-Tawil; Talha Al-Shawaf
Journal:  Reprod Health       Date:  2015-01-16       Impact factor: 3.223

4.  Expression Patterns and Correlations with Metabolic Markers of Zinc Transporters ZIP14 and ZNT1 in Obesity and Polycystic Ovary Syndrome.

Authors:  Trine Maxel; Pernille Fog Svendsen; Kamille Smidt; Jesper Krogh Lauridsen; Birgitte Brock; Steen Bønlykke Pedersen; Jørgen Rungby; Agnete Larsen
Journal:  Front Endocrinol (Lausanne)       Date:  2017-03-02       Impact factor: 5.555

5.  Investigation of body mass index, insulin resistance and diabetes in patients with hirsutism.

Authors:  Besa Gacaferri Lumezi; Violeta Lokaj Berisha
Journal:  Postepy Dermatol Alergol       Date:  2020-09-15       Impact factor: 1.837

Review 6.  Markers of insulin resistance in Polycystic ovary syndrome women: An update.

Authors:  Chantal Anifa Amisi
Journal:  World J Diabetes       Date:  2022-03-15

7.  The risk of a persistent glucose metabolism impairment after gestational diabetes mellitus is increased in patients with polycystic ovary syndrome.

Authors:  Stefano Palomba; Angela Falbo; Tiziana Russo; Laura Rivoli; Marcello Orio; Andrea Gregorio Cosco; Raffaella Vero; Carmelo Capula; Achille Tolino; Fulvio Zullo; Annamaria Colao; Francesco Orio
Journal:  Diabetes Care       Date:  2012-02-14       Impact factor: 19.112

  7 in total

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