Affordable Access

deepdyve-link
Publisher Website

Metabolomics in polycystic ovary syndrome.

Authors
  • Murri, Mora1
  • Insenser, María1
  • Escobar-Morreale, Héctor F2
  • 1 Diabetes, Obesity and Human Reproduction Research Group, Hospital Universitario Ramón y Cajal, Universidad de Alcalá, E-28034 Madrid, Spain; Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), E-28034 Madrid, Spain; Centro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), E-28034 Madrid, Spain. , (Spain)
  • 2 Diabetes, Obesity and Human Reproduction Research Group, Hospital Universitario Ramón y Cajal, Universidad de Alcalá, E-28034 Madrid, Spain; Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), E-28034 Madrid, Spain; Centro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), E-28034 Madrid, Spain. Electronic address: [email protected] , (Spain)
Type
Published Article
Journal
Clinica chimica acta; international journal of clinical chemistry
Publication Date
Feb 15, 2014
Volume
429
Pages
181–188
Identifiers
DOI: 10.1016/j.cca.2013.12.018
PMID: 24368231
Source
Medline
Keywords
License
Unknown

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.

Report this publication

Statistics

Seen <100 times