[Research progress on biomarkers for endometriosis based on lipidomics]

Area of Science:

• Reproductive biology
• Biochemistry
• Medical diagnostics

Background:

• Endometriosis pathogenesis remains unclear, hindering timely diagnosis due to a lack of effective biomarkers.
• Current diagnostic delays impact patient outcomes and disease management.
• Lipidomics offers a novel avenue for endometriosis biomarker discovery.

Purpose of the Study:

• To explore the diagnostic and predictive potential of lipidomics in endometriosis.
• To identify specific lipid metabolites as biomarkers for endometriosis diagnosis, classification, and prediction of infertility.
• To assess the utility of lipid profiles in various biological fluids and tissues.

Main Methods:

• Analysis of lipid profiles using lipidomics techniques.
• Examination of sphingomyelin, phosphatidylcholine, and phosphatidylserine levels.
• Investigation across peripheral blood, endometrial fluid, peritoneal fluid, and follicular fluid.
• Evaluation of lipid metabolites in eutopic endometrium and peripheral blood.

Main Results:

• Sphingomyelin, phosphatidylcholine, and phosphatidylserine in multiple fluid types demonstrate significant diagnostic value for endometriosis and its classification.
• Lipid metabolites in eutopic endometrial tissue show potential as early endometriosis biomarkers.
• Peripheral blood lipid metabolites are valuable for predicting endometriosis-related infertility.

Conclusions:

• Lipidomics presents a powerful approach for endometriosis diagnosis and prediction.
• Identified lipid biomarkers can aid in early detection, disease classification, and management of associated infertility.
• Advancements in lipidomics techniques are crucial for progress in endometriosis research and clinical application.