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Updated: Jan 15, 2026

Visualization of Amyloid β Deposits in the Human Brain with Matrix-assisted Laser Desorption/Ionization Imaging Mass Spectrometry
Published on: March 7, 2019
In situ, antibody-independent, and multiplexed characterization of amyloid plaques by MALDI MS/MS imaging using
Larissa Chiara Meyer1,2, Mujia Jenny Li1,3, Nadine Meier1
1Institute for Surgical Pathology, Faculty of Medicine, University Medical Centre Freiburg, University of Freiburg, Freiburg, Germany.
Abstract:
Amyloidosis collectively describes a heterogeneous group of protein aggregation-based diseases involving the misfolding and extracellular accumulation of fibril-forming amyloid proteins. Diagnosing amyloidosis is difficult due to its many subtypes (e.g., AA, AL, ATTR), with varying symptoms. Current diagnosis often involves Congo red staining, but it has limitations in quantification and specificity. A novel method called iprm-PASEF exploits MALDI imaging and offers a faster, spatially resolved, antibody-independent technique for identifying peptides while preserving tissue structure. In this study, iprm-PASEF was used to further evaluate its applicability on amyloidosis. FFPE slides of an amyloidosis TMA including biopsies of 18 amyloidosis-positive tissues were prepared for tryptic peptide MALDI imaging. An initial MALDI TIMS MS1 measurement was performed, followed by the manual generation of a precursor list containing mass-to-charge ratios and ion mobility windows. In a second iprm-PASEF measurement, the selected precursors are analyzed in a multiplexed MALDI MS/MS mode. Peptide identification was achieved through peptide-to-spectrum matching using MASCOT. Within the course of this study, we characterized an amyloidosis TMA consisting of AA, AL, and ATTR amyloidosis diseased tissue with MALDI imaging of tryptic peptides. We successfully identified eight amyloidosis-related peptides derived from serum amyloid A, vitronectin, apolipoprotein E, serum amyloid P component, and transthyretin receptor in one single iprm-PASEF measurement. Peptide signals mapped to amyloidogenic plaques determined in a Congo red staining. Some of these peptides were specifically found in ATTR and AA amyloidosis. This represents a significant step towards integrating MALDI imaging into the diagnostic process for amyloidosis.
Insights
A new MALDI imaging technique, iprm-PASEF, rapidly identifies amyloidosis-related peptides in tissue samples. This antibody-independent method aids in diagnosing diverse amyloidosis subtypes like AA, AL, and ATTR amyloidosis.
Area of Science:
- Biochemistry
- Proteomics
- Medical Diagnostics
Background:
- Amyloidosis encompasses diverse protein misfolding diseases with challenging diagnoses due to numerous subtypes.
- Current diagnostic methods like Congo red staining lack quantification and specificity.
- Novel techniques are needed for accurate and efficient amyloidosis diagnosis.
Purpose of the Study:
- To evaluate the applicability of iprm-PASEF, a MALDI imaging technique, for identifying amyloidosis-related peptides.
- To characterize amyloidosis subtypes (AA, AL, ATTR) using MALDI imaging of tryptic peptides.
- To assess the potential of MALDI imaging for integrating into amyloidosis diagnostic workflows.
Main Methods:
- Utilized formalin-fixed paraffin-embedded (FFPE) tissue microarrays (TMAs) from 18 amyloidosis-positive biopsies.
- Performed MALDI-TOF/TOF imaging with ion mobility (TIMS) and precursor ion selection (iprm-PASEF).
- Analyzed tryptic peptides using MALDI MS/MS and identified peptides via MASCOT peptide-to-spectrum matching.
Main Results:
- Successfully identified eight amyloidosis-related peptides from serum amyloid A, vitronectin, apolipoprotein E, serum amyloid P component, and transthyretin receptor in a single measurement.
- Mapped identified peptide signals to amyloidogenic plaques confirmed by Congo red staining.
- Observed specific peptide distributions in ATTR and AA amyloidosis subtypes.
Conclusions:
- iprm-PASEF enables rapid, spatially resolved, and antibody-independent identification of amyloidosis-related peptides.
- This MALDI imaging approach shows promise for differentiating amyloidosis subtypes.
- The study represents a significant advancement toward integrating MALDI imaging into clinical amyloidosis diagnostics.

