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Updated: May 25, 2025

Visualization of Amyloid β Deposits in the Human Brain with Matrix-assisted Laser Desorption/Ionization Imaging Mass Spectrometry
Published on: March 7, 2019
Exploring the Aβ Plaque Microenvironment in Alzheimer's Disease Model Mice by Multimodal Lipid-Protein-Histology
Elisabeth Müller1,2, Thomas Enzlein1, Dagmar Niemeyer3
1Center for Mass Spectrometry and Optical Spectroscopy (CeMOS), Mannheim University of Applied Sciences, 68163 Mannheim, Germany.
Abstract:
Amyloid-β (Aβ) plaque deposits in the brain are a hallmark of Alzheimer's disease (AD) neuropathology. Plaques consist of complex mixtures of peptides like Aβ1-42 and characteristic lipids such as gangliosides, and they are targeted by reactive microglia and astrocytes. Background: In pharmaceutical research and development, it is a formidable challenge to contextualize the different biomolecular classes and cell types of the Aβ plaque microenvironment in a coherent experimental workflow on a single tissue section and on a benchtop imaging reader. Methods: Here, we developed a workflow that combines lipid MALDI mass spectrometry imaging using a vacuum-stable matrix with histopathology stains and with the MALDI HiPLEX immunohistochemistry of plaques and multiple protein markers on a benchtop imaging mass spectrometer. The three data layers consisting of lipids, protein markers, and histology could be co-registered and evaluated together. Results: Multimodal data analysis suggested the extensive co-localization of Aβ plaques with the peptide precursor protein, with a defined subset of lipids and with reactive glia cells on a single brain section in APPPS1 mice. Plaque-associated lipids like ganglioside GM2 and phosphatidylinositol PI38:4 isoforms were readily identified using the tandem MS capabilities of the mass spectrometer. Conclusions: Altogether, our data suggests that complex pathology involving multiple lipids, proteins and cell types can be interrogated by this spatial multiomics workflow on a user-friendly benchtop mass spectrometer.
Insights
This study presents a novel spatial multiomics workflow to analyze Alzheimer's disease (AD) pathology. The method integrates lipid imaging, immunohistochemistry, and histology on a single tissue section for comprehensive plaque microenvironment analysis.
Area of Science:
- Neuroscience
- Biochemistry
- Analytical Chemistry
Background:
- Alzheimer's disease (AD) is characterized by amyloid-beta (Aβ) plaques.
- Plaques contain peptides, lipids, and reactive glial cells.
- Analyzing the plaque microenvironment is challenging for pharmaceutical research.
Purpose of the Study:
- To develop a workflow for simultaneous analysis of lipids, proteins, and cell types in Aβ plaques.
- To enable benchtop imaging mass spectrometry for multi-omics analysis of AD pathology.
- To contextualize biomolecular classes and cell types within the Aβ plaque microenvironment.
Main Methods:
- Combined lipid MALDI mass spectrometry imaging with histopathology stains.
- Utilized MALDI HiPLEX immunohistochemistry for plaque and protein marker detection.
- Developed a workflow for co-registration and evaluation of lipid, protein, and histology data.
Main Results:
- Demonstrated extensive co-localization of Aβ plaques with precursor protein and reactive glia in APPPS1 mice.
- Identified plaque-associated lipids, including ganglioside GM2 and phosphatidylinositol PI38:4 isoforms.
- Showcased multimodal data analysis on a single brain section.
Conclusions:
- The spatial multiomics workflow enables interrogation of complex pathology in AD.
- The method is applicable to user-friendly benchtop mass spectrometers.
- Facilitates a deeper understanding of the Aβ plaque microenvironment.

