Visualizing spatial distribution of alectinib in murine brain using quantitative mass spectrometry imaging

Hiroaki Aikawa1, Mitsuhiro Hayashi1,2, Shoraku Ryu2

  • 1Division of Clinical Pharmacology and Translational Research, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, 5-1-1 Tsukiji, Chuo-ku, Tokyo 104-0045, Japan.

Scientific Reports
|March 31, 2016
PubMed

Insights

Quantitative mass spectrometry imaging (MSI) revealed that multidrug resistance protein-1 (MDR1) affects alectinib distribution in the brain. This technique enhances understanding of anticancer drug delivery and efficacy in translational research.

Area of Science:

  • Pharmacology
  • Oncology
  • Analytical Chemistry

Background:

  • Accurate drug concentration measurement in target tissues is vital for anticancer drug development.
  • Traditional methods like LC-MS/MS provide average concentrations but lack spatial information.
  • Mass spectrometry imaging (MSI) offers a novel approach to visualize molecular distribution in complex biological samples.

Purpose of the Study:

  • To investigate the intra-brain distribution of alectinib, an anaplastic lymphoma kinase inhibitor.
  • To evaluate the role of multidrug resistance protein-1 (MDR1) in alectinib brain penetration.
  • To demonstrate the utility of quantitative MSI in drug distribution studies.

Main Methods:

  • Combination of matrix-assisted laser desorption ionization-MSI and LC-MS/MS techniques.
  • Pharmacokinetic analysis in FVB mice.
  • Comparative analysis using Mdr1a/b knockout mice and FVB mice to assess MDR1 influence.

Main Results:

  • Plasma concentrations of alectinib were similar between FVB and Mdr1a/b knockout mice.
  • Alectinib exhibited diffuse distribution in the brains of Mdr1a/b knockout mice compared to FVB mice.
  • Quantitative MSI successfully visualized microscopic drug distribution within the brain.

Conclusions:

  • MDR1 significantly influences the brain distribution of alectinib.
  • Quantitative MSI is a powerful tool for elucidating drug distribution at a microscopic level.
  • This approach can aid in designing anticancer drug development and translational research studies.

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