Targeted Spatial Quantitative Imaging of Metabolites in Paraffin-Embedded Biospecimens

Applications | 2023 | Agilent TechnologiesInstrumentation
MALDI, LC/MS, LC/MS/MS, LC/QQQ
Industries
Pharma & Biopharma
Manufacturer
Agilent Technologies

Summary

Importance of Topic


Mass spectrometry imaging of metabolites provides critical insights into tumor–microenvironment interactions by preserving spatial context. Expanding this technology to formalin-fixed, paraffin-embedded tissues enables retrospective analysis of clinical specimens and supports long-term follow-up studies.

Objectives and Study Overview


This study presents two main objectives using a novel AP-MALDI–6495 triple quadrupole platform for targeted imaging of polar metabolites in xenograft tumor models:
  • Objective 1: Assess spatial distribution and quantification of adenosine in FFPE prostate cancer xenografts with adenosine deaminase (ADA) overexpression, knockdown, and control.
  • Objective 2: Evaluate levels of kynurenine and tryptophan in flash-frozen breast cancer xenografts with alpha amino adipate aminotransferase (AADAT) knockdown, genetic rescue, and control.

Methodology


Sample preparation involved 5 µm FFPE and 10 µm flash-frozen tissue sections on conductive slides. FFPE slides underwent xylene washes and were coated with 30–40 mg/mL DHB matrix applied via automated HTX M5 sprayer. Mass spectra were acquired in multiple reaction monitoring mode targeting over 15 polar metabolites. Key parameters such as laser fluence (50%) and spatial resolution (30 µm) were optimized across matrices (DHB, CHCA, DAN, 9-AA). Data processing was performed with Mozaic software.

Used Instrumentation


  • MassTech AP-MALDI (UHR) ion source
  • Agilent 6495 triple quadrupole mass spectrometer
  • HTX M5 automated matrix sprayer
  • Spectroswiss Mozaic data processing suite

Results and Discussion


For Objective 1, an adenosine calibration curve showed excellent linearity (R2 = 0.9992). ADA-overexpressing tumors exhibited a 1.34-fold reduction in adenosine versus control, while ADA knockdown elevated adenosine by 1.7-fold (p < 0.05). Correlation analyses confirmed spatial consistency across regions and relationships with other metabolites. For Objective 2, AADAT knockdown led to significant kynurenine depletion (p = 0.012), which was restored upon genetic rescue (p = 0.011). Tryptophan distributions supported the targeted metabolic perturbations observed.

Benefits and Practical Applications


The AP-MALDI–6495 platform enables high-sensitivity, quantitative imaging of metabolites in both FFPE and frozen tissues. This approach facilitates use of archived clinical samples, accelerates biomarker validation, and supports drug target discovery in tissue microarray studies.

Future Trends and Opportunities


Advances may include integration with complementary omics modalities, improvements in spatial resolution to the single-cell level, large-scale clinical cohort analyses, and implementation of artificial intelligence for automated image interpretation. Expansion of targeted compound panels will broaden applications in diagnostics and pharmacodynamics.

Conclusion


A novel AP-MALDI coupled to an Agilent 6495 triple quadrupole mass spectrometer has been established for targeted spatial metabolite imaging. The method delivers robust quantification and localization in both FFPE and frozen specimens, unlocking archived clinical resources for metabolic research and translational applications.

Reference


  • Sun C. et al. Spatially Resolved Metabolomics to Discover Tumor-Associated Metabolic Alterations. Proc. Natl. Acad. Sci. U.S.A. 2019, 116(1), 52–57.
  • Sun C. et al. Mass Spectrometry Imaging-Based Metabolomics to Visualize the Spatially Resolved Reprogramming of Carnitine Metabolism in Breast Cancer. Theranostics 2020, 10(16), 7070–7082.
  • Wang Z. et al. Spatial-Resolved Metabolomics Reveals Tissue-Specific Metabolic Reprogramming in Diabetic Nephropathy by Using Mass Spectrometry Imaging. Acta Pharm. Sin. B 2021, 11(11), 3665–3677.

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