Lipid fingerprint image accurately conveys human colon cell pathophysiologic state: A solid candidate as biomarker

Area of Science:

• Biochemistry
• Cell Biology
• Clinical Diagnostics

Background:

• Membrane lipids are increasingly recognized as biomarkers for diseases like cancer and neurodegenerative disorders.
• Lipid profiles are associated with cellular processes and disease states.
• Understanding lipid dynamics in tissues is crucial for diagnostics.

Purpose of the Study:

• To investigate lipid species distribution in human colon tissue during differentiation.
• To identify lipid patterns associated with colonocyte differentiation and immune cell presence.
• To explore the potential of lipid profiles as biomarkers for physiological and pathological conditions.

Main Methods:

• Analysis of human colonoscopic sections using matrix-assisted laser/desorption ionization (MALDI) mass spectrometry imaging.
• Quantification of specific lipid species, including phosphatidylinositols and arachidonic acid-containing lipids.
• Assessment of enzyme expression involved in lipid metabolism.

Main Results:

• Identified specific lipid species changing predictably with colonocyte differentiation.
• Observed distinct lipid patterns in epithelial and lamina propria layers, correlating with cell types and immune cells.
• Demonstrated loss of lipid and protein gradients in adenomatous polyps compared to healthy tissue.
• Found gradients in enzymes involved in lipid mobilization alongside lipid gradients.

Conclusions:

• Strict lipid distribution patterns suggest regulatory mechanisms controlling the cell lipidome based on physiological state.
• Cell lipid fingerprint imaging shows promise for precise prediction of cellular physiological and pathological status.
• These findings reinforce the translational impact of lipidomics in clinical research and diagnostics.