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Gas Chromatography-Mass Spectrometry (GC-MS) Metabolites Analysis in Endometriosis Patients: A Prospective Observational Translational Study.

Authors :
Angioni S
Congiu F
Vitale SG
D'Alterio MN
Noto A
Monni G
Santoru ML
Fanos V
Murgia F
Atzori L
Source :
Journal of clinical medicine [J Clin Med] 2023 Jan 24; Vol. 12 (3). Date of Electronic Publication: 2023 Jan 24.
Publication Year :
2023

Abstract

Background: Endometriosis affects women of reproductive age, and its pathogenesis is still unclear. Typically, it overlaps other similar medical and surgical conditions, determining a delay in early diagnosis. Metabolomics allows studying metabolic changes in different physiological or pathological states to discover new potential biomarkers. We used the gas chromatography-mass spectrometer (GC-MS) to explore metabolic alterations in endometriosis to better understand its pathophysiology and find new biomarkers.<br />Methods: Twenty-two serum samples of patients with symptomatic endometriosis and ten without it were collected and subjected to GC-MS analysis. Multivariate and univariate statistical analyses were performed, followed by pathway analysis.<br />Results: Partial least squares discriminant analysis was performed to determine the differences between the two groups ( p = 0.003). Threonic acid, 3-hydroxybutyric acid, and proline increased significantly in endometriosis patients, while alanine and valine decreased. ROC curves were built to test the diagnostic power of metabolites. The pathway analysis identified the synthesis and degradation of ketone bodies and the biosynthesis of phenylalanine, tyrosine, and tryptophan as the most altered pathways.<br />Conclusions: The metabolomic approach identifies metabolic alterations in women with endometriosis. These findings may improve our understanding of the pathophysiological mechanisms of disease and the discovery of new biomarkers.<br />Competing Interests: The authors declare no conflict of interest.

Details

Language :
English
ISSN :
2077-0383
Volume :
12
Issue :
3
Database :
MEDLINE
Journal :
Journal of clinical medicine
Publication Type :
Academic Journal
Accession number :
36769570
Full Text :
https://doi.org/10.3390/jcm12030922