scholarly journals Quantitative Mass Spectrometry Imaging to Study Drug Distribution in the Intestine Following Oral Dosing

2021 ◽  
Vol 93 (4) ◽  
pp. 2144-2151
Author(s):  
Lennart R. S. Huizing ◽  
James McDuffie ◽  
Filip Cuyckens ◽  
Marjolein van Heerden ◽  
Tatiana Koudriakova ◽  
...  
Nanomaterials ◽  
2017 ◽  
Vol 7 (3) ◽  
pp. 71 ◽  
Author(s):  
Silvia Giordano ◽  
Valentina Pifferi ◽  
Lavinia Morosi ◽  
Melinda Morelli ◽  
Luigi Falciola ◽  
...  

2014 ◽  
Vol 16 (suppl 5) ◽  
pp. v140-v140
Author(s):  
D. Calligaris ◽  
D. Loginov ◽  
R. Machaidze ◽  
J. A. Alberta ◽  
C. D. Stiles ◽  
...  

2019 ◽  
Author(s):  
Rima Ait-Belkacem ◽  
Guillaume Hochart ◽  
Joseph Marini ◽  
Aurore Tomezyk ◽  
p Mantefeul ◽  
...  

2013 ◽  
Vol 12 (12) ◽  
pp. 5626-5633 ◽  
Author(s):  
Ákos Végvári ◽  
Thomas E. Fehniger ◽  
Melinda Rezeli ◽  
Thomas Laurell ◽  
Balázs Döme ◽  
...  

2015 ◽  
Vol 87 (19) ◽  
pp. 10146-10152 ◽  
Author(s):  
John G. Swales ◽  
James W. Tucker ◽  
Michael J. Spreadborough ◽  
Suzanne L. Iverson ◽  
Malcolm R. Clench ◽  
...  

2018 ◽  
Vol 269 ◽  
pp. 128-135 ◽  
Author(s):  
Katrin Fuchs ◽  
Andras Kiss ◽  
Pierre E. Bize ◽  
Rafael Duran ◽  
Alban Denys ◽  
...  

2019 ◽  
Author(s):  
Denis Abu Sammour ◽  
Christian Marsching ◽  
Alexander Geisel ◽  
Katrin Erich ◽  
Sandra Schulz ◽  
...  

AbstractMass spectrometry imaging (MSI) is an enabling technology for label-free drug disposition studies at high spatial resolution in life science- and pharmaceutical research. We present the first extensive clinical matrix-assisted laser desorption/ionization (MALDI) quantitative mass spectrometry imaging (qMSI) study of drug uptake and distribution in clinical specimen, analyzing 56 specimens of tumor and corresponding non-tumor tissues from 28 imatinib-treated patients with biopsy-proven gastrointestinal stromal tumors (GIST). For validation, we compared MALDI-TOF-qMSI with conventional UPLC-ESI-QTOF-MS-based quantification from tissue extracts and with ultra-high resolution MALDI-FTICR-qMSI. We introduced a novel generalized nonlinear calibration model of drug quantities based on focused computational evaluation of drug-containing areas that enabled better data fitting and assessment of the inherent method nonlinearities. Imatinib tissue spatial maps revealed striking inefficiency in drug penetration into GIST liver metastases even though the corresponding healthy liver tissues in the vicinity showed abundant imatinib levels beyond the limit of quantification (LOQ), thus providing evidence for secondary drug resistance independent of mutation status. Taken together, these findings underline the important application of MALDI-qMSI for studying the spatial distribution of molecularly targeted therapeutics in oncology.


Sign in / Sign up

Export Citation Format

Share Document