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.

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.

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