The use of MALDI-MS for imaging drug disposition in respiratory disease models

Matrix-assisted laser desorption/ionisation-mass spectrometry imaging (MALDI-MSI) has been extensively applied to monitoring the distribution of pharmaceutical compounds in tissues. The main aim of the work reported in this thesis is to monitor the distribution of respiratory compounds in the lungs...

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Main Author: Flinders, Bryn
Other Authors: Clench, Malcolm
Published: Sheffield Hallam University 2013
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Online Access:http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.606536
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spelling ndltd-bl.uk-oai-ethos.bl.uk-6065362018-06-06T15:24:19ZThe use of MALDI-MS for imaging drug disposition in respiratory disease modelsFlinders, BrynClench, Malcolm2013Matrix-assisted laser desorption/ionisation-mass spectrometry imaging (MALDI-MSI) has been extensively applied to monitoring the distribution of pharmaceutical compounds in tissues. The main aim of the work reported in this thesis is to monitor the distribution of respiratory compounds in the lungs following inhaled delivery. Glucocorticoids that contain multiple carbonyl functionalities are not easily protonated/de-protonated to form charged species due to the poor ionisation efficiencies of the carbonyl functionalities. Derivatisation with hydrazine based reagents has been proposed as a solution to this problem. These reagents have been employed for the in-solution and on-tissue derivatisation of a range of glucocorticoids to form their respective hydrazones improving their mass spectral ionisation efficiency and detection. MALDI-MSI has been used to screen a set of respiratory compounds in order to determine their on-tissue limit of detection. The distribution of a Tiotropium Bromide was monitored throughout the lungs following inhaled delivery. High spatial resolution imaging enabled a detailed view of the distribution of Tiotropium in the trachea and major airways. Quantitative mass spectrometry imaging is a new field that has recently gained a lot of attention especially in pharmaceutical research. The ability to obtain quantitative information as well as the distribution of pharmaceutical compounds and associated metabolites offers a distinct advantage over traditional quantitative methods such as LC-MS/MS and QWBA. The current methods of generating quantification information from MALDI-MS images has been evaluated, which let development of a method for the preparation of standards for use in the quantification of drugs in tissue sections. MALDI-MSI has been used to acquire data from serial sections obtained at equal intervals through control mouse lung tissue, homogenate registration markers were incorporated in order to aid the final 3D image construction. Using two 3D imaging software packages were used to reconstruct the images were stacked together to enable the 3D distribution of a particular endogenous species throughout the lungs to be displayed.616.20046Sheffield Hallam Universityhttp://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.606536http://shura.shu.ac.uk/19652/Electronic Thesis or Dissertation
collection NDLTD
sources NDLTD
topic 616.20046
spellingShingle 616.20046
Flinders, Bryn
The use of MALDI-MS for imaging drug disposition in respiratory disease models
description Matrix-assisted laser desorption/ionisation-mass spectrometry imaging (MALDI-MSI) has been extensively applied to monitoring the distribution of pharmaceutical compounds in tissues. The main aim of the work reported in this thesis is to monitor the distribution of respiratory compounds in the lungs following inhaled delivery. Glucocorticoids that contain multiple carbonyl functionalities are not easily protonated/de-protonated to form charged species due to the poor ionisation efficiencies of the carbonyl functionalities. Derivatisation with hydrazine based reagents has been proposed as a solution to this problem. These reagents have been employed for the in-solution and on-tissue derivatisation of a range of glucocorticoids to form their respective hydrazones improving their mass spectral ionisation efficiency and detection. MALDI-MSI has been used to screen a set of respiratory compounds in order to determine their on-tissue limit of detection. The distribution of a Tiotropium Bromide was monitored throughout the lungs following inhaled delivery. High spatial resolution imaging enabled a detailed view of the distribution of Tiotropium in the trachea and major airways. Quantitative mass spectrometry imaging is a new field that has recently gained a lot of attention especially in pharmaceutical research. The ability to obtain quantitative information as well as the distribution of pharmaceutical compounds and associated metabolites offers a distinct advantage over traditional quantitative methods such as LC-MS/MS and QWBA. The current methods of generating quantification information from MALDI-MS images has been evaluated, which let development of a method for the preparation of standards for use in the quantification of drugs in tissue sections. MALDI-MSI has been used to acquire data from serial sections obtained at equal intervals through control mouse lung tissue, homogenate registration markers were incorporated in order to aid the final 3D image construction. Using two 3D imaging software packages were used to reconstruct the images were stacked together to enable the 3D distribution of a particular endogenous species throughout the lungs to be displayed.
author2 Clench, Malcolm
author_facet Clench, Malcolm
Flinders, Bryn
author Flinders, Bryn
author_sort Flinders, Bryn
title The use of MALDI-MS for imaging drug disposition in respiratory disease models
title_short The use of MALDI-MS for imaging drug disposition in respiratory disease models
title_full The use of MALDI-MS for imaging drug disposition in respiratory disease models
title_fullStr The use of MALDI-MS for imaging drug disposition in respiratory disease models
title_full_unstemmed The use of MALDI-MS for imaging drug disposition in respiratory disease models
title_sort use of maldi-ms for imaging drug disposition in respiratory disease models
publisher Sheffield Hallam University
publishDate 2013
url http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.606536
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