Literature DB >> 23422073

Proteomic and metabolomic approaches to the study of polycystic ovary syndrome.

María Insenser1, Rafael Montes-Nieto, Mora Murri, Héctor F Escobar-Morreale.   

Abstract

Polycystic ovary syndrome (PCOS) is considered a complex multifactorial disorder resulting from the interaction of genetic, environmental, and lifestyle influences. Nontargeted proteomics and metabolomics have been used in the past years with the aim of identifying molecules potentially involved in the pathophysiology of this frequent disorder. The biomolecules identified so far participate in many metabolic pathways, including energy metabolism (glucose and lipid metabolism), protein metabolic processes and protein folding, cytoskeleton structure, immune response, inflammation and iron metabolism, fibrinolysis and thrombosis, oxidative stress and intracellular calcium metabolism. These molecules provide key information about molecular functions altered in PCOS and raise questions concerning their precise role in the pathogenesis of this syndrome. The biomolecules identified by nontargeted proteomic and metabolomic approaches should be considered as candidates in future studies aiming to define specific molecular phenotypes of PCOS.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

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Year:  2013        PMID: 23422073     DOI: 10.1016/j.mce.2013.02.009

Source DB:  PubMed          Journal:  Mol Cell Endocrinol        ISSN: 0303-7207            Impact factor:   4.102


  10 in total

1.  Epigenetic regulation of traf2- and Nck-interacting kinase (TNIK) in polycystic ovary syndrome.

Authors:  Da Li; Jiao Jiao; Yi-Ming Zhou; Xiu-Xia Wang
Journal:  Am J Transl Res       Date:  2015-06-15       Impact factor: 4.060

2.  Amino acid and fatty acid metabolomic profile during fasting and hyperinsulinemia in girls with polycystic ovarian syndrome.

Authors:  Melanie Cree-Green; Anne-Marie Carreau; Haseeb Rahat; Yesenia Garcia-Reyes; Bryan C Bergman; Laura Pyle; Kristen J Nadeau
Journal:  Am J Physiol Endocrinol Metab       Date:  2019-02-12       Impact factor: 4.310

Review 3.  Polycystic ovary syndrome as a paradigm for prehypertension, prediabetes, and preobesity.

Authors:  Manuel Luque-Ramírez; Héctor F Escobar-Morreale
Journal:  Curr Hypertens Rep       Date:  2014-12       Impact factor: 5.369

4.  Therapeutic effects of puerarin on polycystic ovary syndrome: A randomized trial in Chinese women.

Authors:  Wenjing Li; Hongbo Hu; Guofang Zou; Zhanzhong Ma; Jing Liu; Fanxiang Li
Journal:  Medicine (Baltimore)       Date:  2021-05-28       Impact factor: 1.817

Review 5.  Power of proteomics in linking oxidative stress and female infertility.

Authors:  Sajal Gupta; Jana Ghulmiyyah; Rakesh Sharma; Jacques Halabi; Ashok Agarwal
Journal:  Biomed Res Int       Date:  2014-05-12       Impact factor: 3.411

6.  Proteomic Profiling for Identification of Novel Biomarkers Differentially Expressed in Human Ovaries from Polycystic Ovary Syndrome Patients.

Authors:  Li Li; Jiangyu Zhang; Qingshan Deng; Jieming Li; Zhengfen Li; Yao Xiao; Shuiwang Hu; Tiantian Li; Qiuxiao Tan; Xiaofang Li; Bingshu Luo; Hui Mo
Journal:  PLoS One       Date:  2016-11-15       Impact factor: 3.240

7.  Lipidomics reveals altered biosynthetic pathways of glycerophospholipids and cell signaling as biomarkers of the polycystic ovary syndrome.

Authors:  Mariona Jové; Irene Pradas; Alba Naudí; Susana Rovira-Llopis; Celia Bañuls; Milagros Rocha; Manuel Portero-Otin; Antonio Hernández-Mijares; Victor M Victor; Reinald Pamplona
Journal:  Oncotarget       Date:  2017-12-17

8.  Sestrin2 and Beclin1 levels in Polycystic Ovary Syndrome.

Authors:  Vahid Saeedi; Mona Nourbakhsh; Mitra Nourbakhsh; Ladan Haghighi; Leila Kamalzadeh; Samira Ezzati Mobasser; Maryam Razzaghy-Azar
Journal:  J Clin Lab Anal       Date:  2021-08-16       Impact factor: 2.352

9.  Genome-wide DNA methylation and gene expression patterns provide insight into polycystic ovary syndrome development.

Authors:  Xiu-Xia Wang; Jing-Zan Wei; Jiao Jiao; Shu-Yi Jiang; Da-Hai Yu; Da Li
Journal:  Oncotarget       Date:  2014-08-30

10.  Metformin inhibits testosterone-induced endoplasmic reticulum stress in ovarian granulosa cells via inactivation of p38 MAPK.

Authors:  Jiamin Jin; Yerong Ma; Xiaomei Tong; Weijie Yang; Yongdong Dai; Yibin Pan; Peipei Ren; Liu Liu; Heng-Yu Fan; Yinli Zhang; Songying Zhang
Journal:  Hum Reprod       Date:  2020-05-01       Impact factor: 6.918

  10 in total

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