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- W2016292575 abstract "Determination of drug distribution in brain and other tissues is important in pharmaceutical research. Tissue drug levels need to be determined routinely as they are usually diagnostic for both efficacy and toxicity. Determination of tissue levels in small organ subregions is frequently performed due to important functional considerations. These measurements have traditionally been very tedious requiring extensive dissection and specimen pooling to achieve detection of analytes of interest. Direct and indirect methods utilizing mass spectrometry have been reported for detection of analytes in tissue specimens. Typically, these require very specialized MS or sampling equipment and are only partially successful due to analyte response. We have developed a novel approach for quantitation of tissue sections called Functional Tissue Microanalysis (FTM) in which small circular samples are removed from subregions of interest, extracted and analyzed by conventional LC/MS/MS utilizing electrospray ionization. This allows direct measurement of regional concentrations without dissection and homogenization of tissue specimens as many subregions can be sampled from a single mounted section. Utilization of the FTM approach for analysis of both sagittal and coronal rat brain sections is shown for quantitation of raclopride and rimonabant. Reproducibility of this approach and comparison to conventional methods is reported. Keywords: LC/MS, mass spectral imaging, functional tissue microanalysis, FTM, electrospray, matrix assisted laser desorption, MALDI, Functional Tissue Microanalysis (FTM), electrospray ionization, FTM approach, matrix-assisted laser desorption ionization mass spectrometry (MALDI-MS), desorption electrospray ionization mass spectrometry (DESI-MS), mass analysis" @default.
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- W2016292575 date "2012-05-01" @default.
- W2016292575 modified "2023-10-01" @default.
- W2016292575 title "A Novel Method for Determination of Drug Distribution in Rat Brain Tissue Sections by LC/MS/MS: Functional Tissue Microanalysis" @default.
- W2016292575 doi "https://doi.org/10.2174/156802612800672916" @default.
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