Literature DB >> 24368231

Metabolomics in polycystic ovary syndrome.

Mora Murri1, María Insenser1, Héctor F Escobar-Morreale2.   

Abstract

The association of androgen excess with abdominal adiposity, insulin resistance and metabolic derangements characterize many patients with PCOS. However, the mechanisms underlying these associations are not entirely understood, indicating the need for discovery of the origin of these metabolic alterations, and of new metabolic biomarkers for PCOS. This review summarizes the metabolites and metabolic pathways associated with PCOS according to recent metabolomic studies. PCOS-associated metabolites were involved mostly in carbohydrate, fat, and protein metabolism. Obesity, hyperinsulinemia and the intrinsic heterogeneity of PCOS are responsible of the metabolic variation observed in these women. Furthermore, treatment of PCOS seems to modify the levels of some metabolites. Hopefully, advances in the knowledge of metabolism will allow the detection of systemic imbalances in PCOS and will permit the identification of biomarkers that serve to predict the progression of the disease and its future complications.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Metabolism; Metabolomics; Non-targeted; Obesity; Polycystic ovary syndrome

Mesh:

Year:  2013        PMID: 24368231     DOI: 10.1016/j.cca.2013.12.018

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  13 in total

1.  NMR metabolic profiling of follicular fluid for investigating the different causes of female infertility: a pilot study.

Authors:  Maria Antonietta Castiglione Morelli; Assunta Iuliano; Sergio Crescenzo Antonio Schettini; Donatina Petruzzi; Angela Ferri; Paola Colucci; Licia Viggiani; Flavia Cuviello; Angela Ostuni
Journal:  Metabolomics       Date:  2019-01-29       Impact factor: 4.290

2.  Combining a nontargeted and targeted metabolomics approach to identify metabolic pathways significantly altered in polycystic ovary syndrome.

Authors:  Alice Y Chang; Antigoni Z Lalia; Gregory D Jenkins; Tumpa Dutta; Rickey E Carter; Ravinder J Singh; K Sreekumaran Nair
Journal:  Metabolism       Date:  2017-03-08       Impact factor: 8.694

Review 3.  Multiomics Analysis-Based Biomarkers in Diagnosis of Polycystic Ovary Syndrome.

Authors:  Shikha Rani; Piyush Chandna
Journal:  Reprod Sci       Date:  2022-01-27       Impact factor: 3.060

4.  Untargeted metabolomic approach to study the serum metabolites in women with polycystic ovary syndrome.

Authors:  Ying Yu; Panli Tan; Zhenchao Zhuang; Zhejiong Wang; Linchao Zhu; Ruyi Qiu; Huaxi Xu
Journal:  BMC Med Genomics       Date:  2021-08-20       Impact factor: 3.063

Review 5.  Follicular Fluid: A Powerful Tool for the Understanding and Diagnosis of Polycystic Ovary Syndrome.

Authors:  Ana Teresa Brinca; Ana Cristina Ramalhinho; Ângela Sousa; António Hélio Oliani; Luiza Breitenfeld; Luís A Passarinha; Eugenia Gallardo
Journal:  Biomedicines       Date:  2022-05-27

6.  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

7.  Metabolic profiling of polycystic ovary syndrome reveals interactions with abdominal obesity.

Authors:  A Couto Alves; B Valcarcel; V-P Mäkinen; L Morin-Papunen; S Sebert; A J Kangas; P Soininen; S Das; M De Iorio; L Coin; M Ala-Korpela; M-R Järvelin; S Franks
Journal:  Int J Obes (Lond)       Date:  2017-05-26       Impact factor: 5.095

8.  Follicular metabolic changes and effects on oocyte quality in polycystic ovary syndrome patients.

Authors:  Yan Zhang; Lingyan Liu; Tai-Lang Yin; Jing Yang; Cheng-Liang Xiong
Journal:  Oncotarget       Date:  2017-07-06

Review 9.  Metabolomics-A Promising Approach to Pituitary Adenomas.

Authors:  Oana Pînzariu; Bogdan Georgescu; Carmen E Georgescu
Journal:  Front Endocrinol (Lausanne)       Date:  2019-01-17       Impact factor: 5.555

Review 10.  Chromatography/Mass Spectrometry-Based Biomarkers in the Field of Obstructive Sleep Apnea.

Authors:  Huajun Xu; Xiaojiao Zheng; Wei Jia; Shankai Yin
Journal:  Medicine (Baltimore)       Date:  2015-10       Impact factor: 1.817

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