Endometriosis phenotypes are associated with specific serum metabolic profiles determined by proton-nuclear magnetic resonance

Autor: Cédric Caradeuc, Khaled Pocate-Cheriet, Sandrine Chouzenoux, Fatiha Kateb, Chloé Maignien, Mathilde Bourdon, Frédéric Batteux, Louis Marcellin, Pietro Santulli, Gildas Bertho, Charles Chapron
Přispěvatelé: Institut Cochin (IC UM3 (UMR 8104 / U1016)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Laboratoire de Chimie et de Biochimie Pharmacologiques et Toxicologiques (LCBPT - UMR 8601), Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), CCSD, Accord Elsevier
Rok vydání: 2020
Předmět:
Zdroj: Reproductive BioMedicine
Reproductive BioMedicine Online, Elsevier, 2020, 41, pp.640-652. ⟨10.1016/j.rbmo.2020.06.019⟩
Reproductive BioMedicine Online, 2020, 41, pp.640-652. ⟨10.1016/j.rbmo.2020.06.019⟩
ISSN: 1472-6483
1472-6491
Popis: Research question What is the correlation between serum metabolic profile and endometriosis phenotype? Design 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. Results 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. Conclusion 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.
Databáze: OpenAIRE
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