Mass spectrometry imaging for drug distribution studies
Abstract
Since its introduction mass spectrometry imaging (MSI) has proven to be a powerful tool for the localization of molecules in biological tissues. In drug discovery and development, understanding the distribution of both drug and its metabolites is of critical importance. Traditional methods suffer from a lack of spatial information (tissue extraction followed by LCMS) or lack of specificity resulting in the inability to resolve parent drug from its metabolites (whole body autoradiography). MSI is a sensitive and label-free approach for imaging drugs and metabolites in tissues. In this article we review the different MSI technologies that have been applied to the imaging of pharmaceuticals. Recent technical advances, applications and current analytical limitations are discussed.
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Imaging mass spectrometry enables more powerful and label-free methods for the characterization of the distribution of nanomedicines in tissues.
“newer technologies, such as imaging mass spectrometry, enable more powerful and label-free methods for the characterization of the distribution of nanomedicines in tissues66.”
From How to design preclinical studies in nanomedicine and cell therapy to maximize the prospects of clinical translation (2018) · cites this paper as [66]
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- Authors
- Prideaux, B., & Stoeckli, M.
- Affiliations
- Novartis (Switzerland) (CH)
- Novartis Institutes for BioMedical Research (CH)
- Corresponding author
- Prideaux, Brendan
- ORCID
- Prideaux, Brendan
- Venue
- Journal of Proteomics
- Publisher
- Elsevier BV
- Published
- 2012-08
- Volume
- 75
- Issue
- 16
- Pages
- 4999-5013
- ISSN
- 1874-3919 (ISSN-L)
- OpenAlex
- W2044101419
- Cited by
- 279
- References
- 108
- Citations by year
- 2026: 6 · 2025: 6 · 2024: 15 · 2023: 11 · 2022: 18 · 2021: 25 · 2020: 18 · 2019: 19 · 2018: 20 · 2017: 23 · 2016: 32 · 2015: 24 · 2014: 36 · 2013: 23 · 2012: 1
- FWCI
- 2.53
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Proteomics (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Novartis Institutes for BioMedical Research
- National Institute of Allergy and Infectious Diseases
- Topics
- Physical Sciences › Chemistry › Spectroscopy › Mass Spectrometry Techniques and Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
- Physical Sciences › Engineering › Computational Mechanics › Ion-surface interactions and analysis
- Keywords
- mass spectrometry imaging, drug distribution, drug metabolites, tissue localization, pharmaceuticals, label-free imaging, spatial resolution, drug discovery
- MeSH terms
- Animals, Biological Availability, Diagnostic Imaging, Pharmaceutical Preparations, Humans, Models, Biological, Mass Spectrometry, Tissue Distribution, Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization, Drug Discovery, High-Throughput Screening Assays
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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