Mass Spectrometry Imaging Spatial Tissue Analysis toward Personalized Medicine

Novel profiling methodologies are redefining the diagnostic capabilities and therapeutic approaches towards more precise and personalized healthcare. Complementary information can be obtained from different omic approaches in combination with the traditional macro- and microscopic analysis of the ti...

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Bibliographic Details
Published in:Life (Basel, Switzerland) Switzerland), 2022-07, Vol.12 (7), p.1037
Main Authors: Gonçalves, Juliana P. L., Bollwein, Christine, Schwamborn, Kristina
Format: Article
Language:English
Subjects:
Algorithms
Alzheimer's disease
Cancer
cancer research
Customization
Deoxyribonucleic acid
DNA
Lipid metabolism
Lipids
Machine learning
Mass spectrometry
mass spectrometry imaging
Mass spectroscopy
Medical imaging
Metabolites
Microscopic analysis
Morphology
pathology
personalized medicine
Plant biology
Polysaccharides
Precision medicine
Proteins
proteomics
Review
Scientific imaging
Spatial analysis
Spectroscopy
Tissue analysis
Tissue typing
Tumors
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Summary:Novel profiling methodologies are redefining the diagnostic capabilities and therapeutic approaches towards more precise and personalized healthcare. Complementary information can be obtained from different omic approaches in combination with the traditional macro- and microscopic analysis of the tissue, providing a more complete assessment of the disease. Mass spectrometry imaging, as a tissue typing approach, provides information on the molecular level directly measured from the tissue. Lipids, metabolites, glycans, and proteins can be used for better understanding imbalances in the DNA to RNA to protein translation, which leads to aberrant cellular behavior. Several studies have explored the capabilities of this technology to be applied to tumor subtyping, patient prognosis, and tissue profiling for intraoperative tissue evaluation. In the future, intercenter studies may provide the needed confirmation on the reproducibility, robustness, and applicability of the developed classification models for tissue characterization to assist in disease management.
ISSN:2075-1729
2075-1729
DOI:10.3390/life12071037