Optimizing neurotransmitter pathway detection by IR-MALDESI-MSI in mouse brain

Area of Science:

• Neuroscience
• Analytical Chemistry
• Biochemistry

Background:

• Mass spectrometry imaging (MSI) platforms like infrared matrix-assisted laser desorption electrospray ionization (IR-MALDESI) are valuable for localizing molecules in biological samples.
• Conventional IR-MALDESI-MSI often uses an ice matrix, but sucrose embedding has shown promise for lipid detection in mouse brain sections.

Purpose of the Study:

• To determine optimal sample preparation and matrix conditions for enhanced detection of neurotransmitters (NTs) and related metabolites.
• To improve the visualization of NT localization and abundance in mouse brain striatal regions using IR-MALDESI-MSI.
• To facilitate future studies on NTs in neurodegenerative diseases and ischemic stroke.

Main Methods:

• Investigated different sample preparation techniques and matrices for IR-MALDESI-MSI analysis of mouse brain coronal sections.
• Compared sucrose embedding with conventional ice matrix methods for NT and metabolite detection.
• Focused on the striatal region of the mouse brain.

Main Results:

• Sucrose embedding, without an ice matrix, was found to be superior for enhancing the detection of neurotransmitters and their metabolites.
• Optimized workflow significantly improves the signal abundance and localization data for NTs.
• Demonstrated the effectiveness of the optimized method for visualizing NTs in coronal mouse brain sections.

Conclusions:

• The optimized sample preparation using sucrose embedding enhances the detection of neurotransmitters and related metabolites in mouse brain striatal sections via IR-MALDESI-MSI.
• This improved methodology will enable more comprehensive studies investigating NTs in neurodegenerative diseases and ischemic stroke.
• The findings provide a foundation for advanced molecular mapping in neuroscience research.