Is the clinical lipidomics a potential goldmine?

Area of Science:

• Biochemistry
• Clinical Chemistry
• Systems Biology

Background:

• Lipidomics analyzes complete lipid profiles in patient samples.
• Integration with proteomic, genomic, and phenomic data enhances clinical value.
• Current lipidomics faces challenges in stability, specificity, and sensitivity for clinical use.

Purpose of the Study:

• To explore the potential of clinical lipidomics for disease diagnosis and therapy.
• To identify challenges and future directions for clinical lipidomics applications.
• To highlight the need for standardization and improved data analysis in clinical lipidomics.

Main Methods:

• Characterization and quantification of lipid molecules in patient cells, biopsies, and body fluids.
• Exploration of lipid pathways and networks.
• Investigating associations between lipidomics data, gene expression, and lipid-specific proteins/enzymes.

Main Results:

• Clinical lipidomics offers potential for early disease diagnosis and monitoring.
• Integration with multi-omics data is crucial for enhanced clinical utility.
• Further clarification of lipidomics data associations with genetic and protein information is required.

Conclusions:

• Clinical lipidomics is poised to become a vital tool in clinical applications for disease-specific diagnosis and therapy.
• Overcoming current challenges is essential for widespread clinical adoption.
• Deciphering lipidomic profiles and metabolic enzymes will unlock powerful diagnostic and therapeutic strategies.