Endometriosis phenotypes are associated with specific serum metabolic profiles determined by proton-nuclear magnetic resonance.
(1)H-nuclear magnetic resonance
Deep infiltrating endometriosis
Endometrioma
Endometriosis
Metabolomics
Journal
Reproductive biomedicine online
ISSN: 1472-6491
Titre abrégé: Reprod Biomed Online
Pays: Netherlands
ID NLM: 101122473
Informations de publication
Date de publication:
Oct 2020
Oct 2020
Historique:
received:
30
04
2020
revised:
16
06
2020
accepted:
29
06
2020
pubmed:
26
8
2020
medline:
29
9
2021
entrez:
26
8
2020
Statut:
ppublish
Résumé
What is the correlation between serum metabolic profile and endometriosis phenotype? A pilot study nestled in a prospective cohort study at a university hospital, including 46 patients with painful endometriosis who underwent surgery and 21 controls who did not have macroscopic endometriotic lesions. Endometriosis was strictly classified into two groups of 23 patients each: endometrioma (OMA) and deep infiltrating endometriosis (DIE). Serum samples were collected before surgery for metabolomic profiling based on proton-nuclear magnetic resonance spectroscopy in combination with statistical approaches. Comparative identification of the metabolites in the serum from endometriosis patients and from controls was carried out, including an analysis according to endometriosis phenotype. The serum metabolic profiles of the endometriosis patients revealed significantly lower concentrations of several amino acids compared with the controls, whereas the concentrations of free fatty acids and ketone bodies were significantly higher. The OMA and the DIE phenotypes each had a specific metabolic profile, with higher concentrations of two ketone bodies in the OMA group, and higher concentrations of free fatty acids and lipids in the DIE group. Proton-nuclear magnetic resonance-based metabolomics of serum samples were found to have ample potential for identifying metabolic changes associated with endometriosis phenotypes. This information may improve our understanding of the pathogenesis of endometriosis.
Identifiants
pubmed: 32839101
pii: S1472-6483(20)30368-0
doi: 10.1016/j.rbmo.2020.06.019
pii:
doi:
Substances chimiques
Fatty Acids, Nonesterified
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
640-652Informations de copyright
Copyright © 2020 Reproductive Healthcare Ltd. Published by Elsevier Ltd. All rights reserved.