Literature DB >> 22104628

Application of proteomics to the study of polycystic ovary syndrome.

M Insenser1, H F Escobar-Morreale.   

Abstract

BACKGROUND: Clinical proteomics consists of qualitative and quantitative profiling of proteins present in clinical specimens such as body fluids or tissues, with the aim of discovering novel proteins and cellular pathways associated with the disease of interest. AIM: To review the proteomic studies conducted to date that addressed different aspects of the pathogenesis of polycystic ovary syndrome (PCOS).
METHODS: Descriptive review of studies that applied proteomic techniques to the study of PCOS. Published articles were identified using the Entrez-PubMed online search facilities.
RESULTS: Most studies conducted to date focused on protein variations in plasma and different target tissues. Plasma proteomics analysis revealed that PCOS associates changes in protein expression in several acute-phase response proteins. Moreover, some of these molecules play major roles in iron metabolism and low-grade chronic inflammation. Studies using omental adipose tissue from morbidly obese women with or without PCOS revealed differences in abundance of proteins that may be involved in lipid and glucose metabolism, oxidative stress processes, and adipocyte differentiation. Moreover, identification of differentially expressed proteins in ovarian tissue, granulosa cells or T lymphocites may help to characterize more clearly some aspects of this disorder.
CONCLUSIONS: Although the application of proteomic techniques to the study of PCOS is in its early infancy, studies conducted to date highlight its heterogeneous nature. Aside from androgen excess, several pathways related to intermediate metabolism, oxidative stress processes, inflammation and iron metabolism appear to be involved in the pathophysiology of PCOS.

Entities:  

Mesh:

Year:  2011        PMID: 22104628     DOI: 10.3275/8108

Source DB:  PubMed          Journal:  J Endocrinol Invest        ISSN: 0391-4097            Impact factor:   4.256


  46 in total

1.  The ProteinChip Biomarker System from Ciphergen Biosystems: a novel proteomics platform for rapid biomarker discovery and validation.

Authors:  K Chapman
Journal:  Biochem Soc Trans       Date:  2002-04       Impact factor: 5.407

Review 2.  Difference gel electrophoresis.

Authors:  Jonathan S Minden; Susan R Dowd; Helmut E Meyer; Kai Stühler
Journal:  Electrophoresis       Date:  2009-06       Impact factor: 3.535

3.  Prevalence and characteristics of the polycystic ovary syndrome in overweight and obese women.

Authors:  Francisco Alvarez-Blasco; José I Botella-Carretero; José L San Millán; Héctor F Escobar-Morreale
Journal:  Arch Intern Med       Date:  2006-10-23

4.  Prevalence of insulin resistance in the polycystic ovary syndrome using the homeostasis model assessment.

Authors:  Catherine Marin DeUgarte; Alfred A Bartolucci; Ricardo Azziz
Journal:  Fertil Steril       Date:  2005-05       Impact factor: 7.329

Review 5.  Polycystic ovary syndrome (PCOS): arguably the most common endocrinopathy is associated with significant morbidity in women.

Authors:  E Carmina; R A Lobo
Journal:  J Clin Endocrinol Metab       Date:  1999-06       Impact factor: 5.958

6.  Proteomic analysis of human omental adipose tissue in the polycystic ovary syndrome using two-dimensional difference gel electrophoresis and mass spectrometry.

Authors:  Marta Cortón; José I Botella-Carretero; Juan A López; Emilio Camafeita; José L San Millán; Héctor F Escobar-Morreale; Belén Peral
Journal:  Hum Reprod       Date:  2007-12-22       Impact factor: 6.918

7.  Improved resolution of the human adipose tissue proteome at alkaline and wide range pH by the addition of hydroxyethyl disulfide.

Authors:  Marta Cortón; Gemma Villuendas; José I Botella; José L San Millán; Héctor F Escobar-Morreale; Belén Peral
Journal:  Proteomics       Date:  2004-02       Impact factor: 3.984

8.  Proteomic analysis of human ovaries from normal and polycystic ovarian syndrome.

Authors:  Xiang Ma; Lu Fan; Yan Meng; Zheng Hou; Yun-Dong Mao; Wei Wang; Wei Ding; Jia-Yin Liu
Journal:  Mol Hum Reprod       Date:  2007-06-07       Impact factor: 4.025

Review 9.  Proteomic profiling of beta-cells using a classical approach - two-dimensional gel electrophoresis.

Authors:  C Süss; M Solimena
Journal:  Exp Clin Endocrinol Diabetes       Date:  2008-09-05       Impact factor: 2.949

10.  High-resolution two-dimensional electrophoresis.

Authors:  Walter Weiss; Angelika Görg
Journal:  Methods Mol Biol       Date:  2009
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  2 in total

1.  Genome-wide methylation profiling in granulosa lutein cells of women with polycystic ovary syndrome (PCOS).

Authors:  E Makrinou; A W Drong; G Christopoulos; A Lerner; I Chapa-Chorda; T Karaderi; S Lavery; K Hardy; C M Lindgren; S Franks
Journal:  Mol Cell Endocrinol       Date:  2019-10-07       Impact factor: 4.102

2.  DIA proteomics analysis through serum profiles reveals the significant proteins as candidate biomarkers in women with PCOS.

Authors:  Ying Yu; Panli Tan; Zhenchao Zhuang; Zhejiong Wang; Linchao Zhu; Ruyi Qiu; Huaxi Xu
Journal:  BMC Med Genomics       Date:  2021-05-09       Impact factor: 3.063

  2 in total

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