QUANTITATIVE IMAGING MASS SPECTROMETRY OF ENDOGENOUS METABOLITES USING IN-LINE INTERNAL STANDARDS AND STABLE ISOTOPE LABELED MIMETIC MODEL
Posters | 2019 | WatersInstrumentation
Quantitative mapping of endogenous metabolites and exogenous drugs in tissue enables detailed insights into metabolic pathways and drug distribution at the cellular level. Mass spectrometry imaging bridges the gap between spatial biology and quantitative analytics, with DESI offering unique coverage of small molecules often inaccessible by other techniques.
This work presents a robust workflow for quantitative DESI MS imaging of endogenous metabolites and drugs by combining stable isotope labeled mimetic tissue models with an in-line internal standard. Key aims include establishing calibration curves on tissue, normalizing signal drift, and accurately determining unknown concentrations in biological specimens.
Animal tissues were flash frozen, cryo-sectioned, and mounted on glass slides. Mimetic models were prepared by spiking adjacent control tissue sections with a range of concentrations of analytes of interest. For endogenous targets, stable isotope labeled standards were applied. An in-line internal standard reference was continuously infused via the DESI sprayer to correct for mass drift and signal variability. Imaging was performed pixel by pixel to record ion intensities across the sample surface.
Calibration spots of verapamil on control tissue produced linear response curves with high correlation, enabling quantitation of unknown concentrations. In a biological application, brains from alcohol-fed mice and controls were imaged using a d9-choline internal standard. Normalized data revealed increases of 1.3-fold for choline and 1.4-fold for cholesterol in alcohol-fed samples while phosphatidylcholine levels remained unchanged.
Next steps include development of homogenate or tissue band mimetic models to further standardize analyte extraction and ion suppression. Integration with ion mobility separation, high throughput workflows, and multimodal imaging approaches will enhance molecular coverage and spatial resolution. These advances will foster deeper mechanistic insights in pharmacology and metabolic research.
The combination of stable isotope labeled mimetic tissue models and in-line internal standards in DESI MS imaging offers a straightforward and reliable approach for quantitative spatial analysis of endogenous and exogenous small molecules. This workflow supports applications in drug distribution studies, metabolic research, and quality control in biomedical contexts.
MALDI, MS Imaging, LC/TOF, LC/HRMS, LC/MS, LC/MS/MS
IndustriesMetabolomics, Clinical Research
ManufacturerWaters
Summary
Significance of the Topic
Quantitative mapping of endogenous metabolites and exogenous drugs in tissue enables detailed insights into metabolic pathways and drug distribution at the cellular level. Mass spectrometry imaging bridges the gap between spatial biology and quantitative analytics, with DESI offering unique coverage of small molecules often inaccessible by other techniques.
Objectives and Overview of the Study
This work presents a robust workflow for quantitative DESI MS imaging of endogenous metabolites and drugs by combining stable isotope labeled mimetic tissue models with an in-line internal standard. Key aims include establishing calibration curves on tissue, normalizing signal drift, and accurately determining unknown concentrations in biological specimens.
Methodology
Animal tissues were flash frozen, cryo-sectioned, and mounted on glass slides. Mimetic models were prepared by spiking adjacent control tissue sections with a range of concentrations of analytes of interest. For endogenous targets, stable isotope labeled standards were applied. An in-line internal standard reference was continuously infused via the DESI sprayer to correct for mass drift and signal variability. Imaging was performed pixel by pixel to record ion intensities across the sample surface.
Used Instrumentation
- DESI two dimensional stage ion source from Waters Corporation
- SYNAPT G2-Si HDMS quadrupole time of flight mass spectrometer
- DESI solvent flow 98 percent methanol at 3 microliters per minute
- Nebulizing nitrogen gas pressure of 0.5 MPa and sprayer voltage of 3.0 kV in positive polarity
- Mass range from 50 to 1200 m/z in high resolution mode
Main Results and Discussion
Calibration spots of verapamil on control tissue produced linear response curves with high correlation, enabling quantitation of unknown concentrations. In a biological application, brains from alcohol-fed mice and controls were imaged using a d9-choline internal standard. Normalized data revealed increases of 1.3-fold for choline and 1.4-fold for cholesterol in alcohol-fed samples while phosphatidylcholine levels remained unchanged.
Benefits and Practical Applications
- DESI MS imaging extends quantitative capability to metabolites and drugs not readily detected by MALDI.
- In-line internal standardization improves accuracy and compensates for instrumental drift.
- Mimetic tissue models provide realistic calibration matrices that mimic endogenous ion suppression and extraction efficiency.
Future Trends and Applications
Next steps include development of homogenate or tissue band mimetic models to further standardize analyte extraction and ion suppression. Integration with ion mobility separation, high throughput workflows, and multimodal imaging approaches will enhance molecular coverage and spatial resolution. These advances will foster deeper mechanistic insights in pharmacology and metabolic research.
Conclusion
The combination of stable isotope labeled mimetic tissue models and in-line internal standards in DESI MS imaging offers a straightforward and reliable approach for quantitative spatial analysis of endogenous and exogenous small molecules. This workflow supports applications in drug distribution studies, metabolic research, and quality control in biomedical contexts.
References
- Groseclose MR Castellino S A mimetic tissue model for the quantification of drug distributions by MALDI imaging mass spectrometry Anal Chem 2013 85 10099 10106
- Barry JA Groseclose MR Fraser DD Castellino S Revised preparation of a mimetic tissue model for quantitative imaging mass spectrometry Protocol Exchange 2018 doi 10.1038/protex.2018.104
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