Removal of optimal cutting temperature (O.C.T.) compound from embedded tissue for MALDI imaging of lipids

Jacob X M Truong1,2,3, Xander Spotbeen1,4, Jake White1,2

  • 1South Australian Health and Medical Research Institute (SAHMRI), North Terrace, Adelaide, South Australia, 5000, Australia.

Insights

This study presents a new method to improve lipid analysis in clinical tissues using matrix-assisted laser desorption/ionisation mass spectrometry imaging (MALDI-MSI). The technique overcomes challenges from sample preparation, enhancing lipid detection and spatial distribution mapping.

Area of Science:

  • Analytical Chemistry
  • Biochemistry
  • Molecular Imaging

Background:

  • Matrix-assisted laser desorption/ionisation mass spectrometry imaging (MALDI-MSI) is crucial for analyzing lipid distribution in tissues.
  • Clinical tissue analysis using MALDI-MSI faces challenges due to sample embedding media like Optimal Cutting Temperature (O.C.T.) and endogenous salts.
  • O.C.T. (containing polyethylene glycol) and salts cause signal suppression and complex mass spectra, hindering accurate lipid mapping.

Purpose of the Study:

  • To develop a method for simultaneous removal of O.C.T. and endogenous salts from clinical tissue samples.
  • To improve the sensitivity, data interpretation, and spatial resolution of lipid analysis in MALDI-MSI.
  • To overcome common technical limitations in applying MALDI-MSI to clinical tissue samples.

Main Methods:

  • A novel sample preparation technique was developed to eliminate O.C.T. embedding media and endogenous salts.
  • The method was applied to lipid imaging of clinical tissue samples.
  • Mass spectrometry imaging was used to analyze lipid abundance and spatial distribution.

Main Results:

  • The new method effectively removed O.C.T. and endogenous salts, preventing analyte signal suppression.
  • Simplified mass spectra were obtained by reducing the formation of multiple adduct ions and isobaric ions.
  • Improved lipid protonation and reduced alkali adduct formation led to enhanced sensitivity and clearer spatial distributions.

Conclusions:

  • The developed method significantly enhances the application of MALDI-MSI for clinical tissue lipid analysis.
  • Simultaneous removal of O.C.T. and salts is key to overcoming major technical hurdles in the modality.
  • This approach facilitates more accurate and sensitive molecular mapping of lipids in clinical samples.