Literature DB >> 22311022

Genetic variations in SREBP-1 and LXRα are not directly associated to PCOS but contribute to the physiological specifics of the syndrome.

Birgit Knebel1, Onno E Janssen, Susanne Hahn, Sylvia Jacob, Ulrike Nitzgen, Jutta Haas, Dirk Muller-Wieland, Jorg Kotzka.   

Abstract

The polycystic ovary syndrome (PCOS) is a complex endocrine-metabolic disorder consisting of reproductive disturbances associated with all aspects of the metabolic syndrome and genetic components in the pathology of this complex disease is very likely. Accordingly, variations in single genes might affect specific features of PCOS and thereby help to define different subgroups. SREBP-1 or LXRα have been shown to be genetically linked to lipid metabolism or insulin sensitivity. As these are two major aspects of the PCOS phenotype, we evaluated both genes in a cohort of 153 PCOS patients. Analyses of both genes revealed in SREBF-1, i.e. SREBP-1a and SREBP-1c, not any variation and in the LXRα gene no novel sequence variations. Common variants of LXRα (rs2279238:G; all:0.8658; PCOS:0.8627; controls: 0.8686 or A: all:0.13412; PCOS:0.1373; controls:0.1314; (OR (95% CI) 0.9508 (0.4226-2.1385); rs11039155: G: all:0.8767; PCOS:0.8663; controls:0.8857 and A all:0.1233; PCOS:0.1337; controls:0.1143; (OR (95% CI) 0.8383 (0.3618-1.9371)) were also not directly associated to PCOS. Combined analyses of both polymorphism revealed that there was no difference of distribution between the groups. In contrast, analyses of the impact of these polymorphisms on metabolic parameters of the syndrome indicated significant differences related to genotypes. The data indicated that rs11039155 increases metabolic risk, whereas rs2279238 has a protective effect on the overall metabolic risk. The investigation of the PCOS group presented indicates that the combined analyses of variations in putative candidate genes allowed a genotype-phenotype correlation for metabolic features.

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Year:  2012        PMID: 22311022     DOI: 10.1007/s11033-012-1508-0

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.316


  37 in total

Review 1.  Insulin resistance in polycystic ovary syndrome: progress and paradoxes.

Authors:  A M Venkatesan; A Dunaif; A Corbould
Journal:  Recent Prog Horm Res       Date:  2001

Review 2.  Molecular & genetic factors contributing to insulin resistance in polycystic ovary syndrome.

Authors:  Sarbani Mukherjee; Anurupa Maitra
Journal:  Indian J Med Res       Date:  2010-06       Impact factor: 2.375

3.  Overweight women with polycystic ovary syndrome have evidence of subclinical cardiovascular disease.

Authors:  C Meyer; B P McGrath; H J Teede
Journal:  J Clin Endocrinol Metab       Date:  2005-07-26       Impact factor: 5.958

4.  A rare missense mutation in a type 2 diabetes patient decreases the transcriptional activity of human sterol regulatory element binding protein-1.

Authors:  Santiago Vernia; Delphine Eberlé; Antonio Hernandez Mijares; Fabienne Foufelle; Marta Casado
Journal:  Hum Mutat       Date:  2006-02       Impact factor: 4.878

Review 5.  Lipid levels in polycystic ovary syndrome: systematic review and meta-analysis.

Authors:  Robert A Wild; Manfredi Rizzo; Sheri Clifton; Enrico Carmina
Journal:  Fertil Steril       Date:  2011-01-17       Impact factor: 7.329

Review 6.  Polycystic ovary syndrome: syndrome XX?

Authors:  Susan Sam; Andrea Dunaif
Journal:  Trends Endocrinol Metab       Date:  2003-10       Impact factor: 12.015

7.  Defects in beta-cell function in functional ovarian hyperandrogenism.

Authors:  N M O'Meara; J D Blackman; D A Ehrmann; R B Barnes; J B Jaspan; R L Rosenfield; K S Polonsky
Journal:  J Clin Endocrinol Metab       Date:  1993-05       Impact factor: 5.958

Review 8.  Liver X receptor in cholesterol metabolism.

Authors:  Chunyan Zhao; Karin Dahlman-Wright
Journal:  J Endocrinol       Date:  2009-10-16       Impact factor: 4.286

Review 9.  SREBP-1c transcription factor and lipid homeostasis: clinical perspective.

Authors:  P Ferré; F Foufelle
Journal:  Horm Res       Date:  2007-03-05

10.  FTO and MC4R gene variants are associated with obesity in polycystic ovary syndrome.

Authors:  Kathryn G Ewens; Michelle R Jones; Wendy Ankener; Douglas R Stewart; Margrit Urbanek; Andrea Dunaif; Richard S Legro; Angela Chua; Ricardo Azziz; Richard S Spielman; Mark O Goodarzi; Jerome F Strauss
Journal:  PLoS One       Date:  2011-01-20       Impact factor: 3.240

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  1 in total

1.  Association between copy-number variation on metabolic phenotypes and HDL-C levels in patients with polycystic ovary syndrome.

Authors:  Birgit Knebel; Stefan Lehr; Onno E Janssen; Susanne Hahn; Sylvia Jacob; Ulrike Nitzgen; Dirk Müller-Wieland; Jorg Kotzka
Journal:  Mol Biol Rep       Date:  2016-11-22       Impact factor: 2.316

  1 in total

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