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Broadband Collision-Induced Dissociation Mass Spectrometry Imaging
Sumi Krupa1, Wiktoria Szuberla2, Joanna Nizioł3
1Doctoral School at the Rzeszów University of Technology, 8 Powstańców Warszawy Ave., Rzeszów 35-959, Poland.
Journal of the American Society for Mass Spectrometry
|June 19, 2025
Summary
This study introduces broadband collision-induced dissociation (bbCID) coupled with mass spectrometry imaging (MSI) for untargeted metabolite identification in human tissues. The novel method reveals distinct metabolic profiles in bladder and kidney cancer, highlighting potential biomarkers.
Area of Science:
- Metabolomics
- Mass Spectrometry Imaging
- Cancer Biology
Background:
- Accurate metabolite identification in complex biological tissues is crucial for understanding disease mechanisms.
- Existing mass spectrometry imaging (MSI) techniques face challenges in comprehensive metabolite profiling.
Purpose of the Study:
- To apply broadband collision-induced dissociation (bbCID) with mass spectrometry imaging (MSI) for untargeted metabolite identification in human tissues.
- To investigate the spatial distribution of metabolites in cancer tissues.
Main Methods:
- Integration of bbCID with laser ablation-remote atmospheric pressure photoionization/chemical ionization (LARAPPI/CI) for simultaneous precursor and fragment ion acquisition.
- Validation using reference compounds to assess performance.
- Application to clinical samples of human bladder and kidney cancer.
Main Results:
- Identified distinct metabolite profiles in tumor vs. non-tumorous regions of bladder cancer, with increased fatty acids (e.g., FA(22:6), FA(22:5), FA(16:0)) in tumors and proline in normal tissue.
- Observed elevated levels of polyunsaturated fatty acids (e.g., arachidonic acid, adrenic acid) in renal cell carcinoma tissues compared to healthy zones, which showed enrichment of creatine and serine.
Conclusions:
- bbCID-MSI is a powerful tool for spatially resolved metabolite analysis in human tissues.
- The method can reveal biologically relevant metabolic alterations associated with cancer, aiding in biomarker discovery.
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