Details

Autor(en) / Beteiligte

• Vicente-Muñoz, Sara, Ph.D
• Morcillo, Inmaculada, M.D
• Puchades-Carrasco, Leonor, Ph.D
• Payá, Vicente, M.D
• Pellicer, Antonio, M.D
• Pineda-Lucena, Antonio, Ph.D

Titel

Pathophysiologic processes have an impact on the plasma metabolomic signature of endometriosis patients

Ist Teil von

• Fertility and sterility, 2016-12, Vol.106 (7), p.1733-1741.e1

Ort / Verlag

United States: Elsevier Inc

Erscheinungsjahr

2016

Link zum Volltext

Quelle

MEDLINE

Beschreibungen/Notizen

• Objective To evaluate potential variations in the plasma metabolomic profile of endometriosis patients as a consequence of pathophysiologic alterations associated with this disorder. Design Prospective study. For each subject, a plasma sample was collected after overnight fasting and before surgery. Setting University medical center. Patient(s) The clinical cohort included 50 endometriosis patients, diagnosed at early (n = 6) and advanced (n = 44) stages of the disease, and 23 healthy women. All volunteers underwent diagnostic laparoscopy to visually confirm the presence or absence of endometriotic lesions. Intervention(s) Metabolomic profiling of plasma samples based on1 H-nuclear magnetic resonance (NMR) spectroscopy in combination with statistical approaches. Main Outcome Measure(s) Comparative identification of metabolites present in plasma from endometriosis patients and healthy women. Result(s) The plasma metabolomic profile of endometriosis patients was characterized by increased concentration of valine, fucose, choline-containing metabolites, lysine/arginine, and lipoproteins and decreased concentration of creatinine compared with healthy women. Metabolic alterations identified in the plasma metabolomic profile of endometriosis patients correlate with pathophysiologic events previously described in the progression of this disease. Conclusion(s) The results highlight the potential of1 H-NMR–based metabolomics to characterize metabolic alterations associated with endometriosis in plasma samples. This information could be useful to get a better understanding of the molecular mechanisms involved in the pathogenesis of endometriosis, thus facilitating the noninvasive diagnosis of this pathology at early stages.