2020
DOI: 10.1080/17425255.2020.1718107
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Use of imaging to assess the activity of hepatic transporters

Abstract: Introduction: Membrane transporters of the SLC and ABC families are abundantly expressed in the liver, where they control the transfer of drugs/drug metabolites across the sinusoidal and canalicular hepatocyte membranes and play a pivotal role in hepatic drug clearance. Noninvasive imaging methods, such as PET, SPECT or MRI, allow for measuring the activity of hepatic transporters in vivo, provided that suitable transporter imaging probes are available. Areas covered: We give an overview of the working princip… Show more

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Cited by 17 publications
(10 citation statements)
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References 151 publications
(232 reference statements)
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“…Efforts are being made to develop imaging protocols for selective determination of the respective importance of each transporter system in vivo [ 40 ]. Several small-molecule probes for Positron Emission Tomography (PET) have been proposed to study OATP transporter activity and to assess the interplay between sinusoidal uptake and canalicular efflux in vivo [ 13 , 19 , 40 ]. However, imaging protocols for selective determination of MRP2 activity at the canalicular interface are currently not available.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Efforts are being made to develop imaging protocols for selective determination of the respective importance of each transporter system in vivo [ 40 ]. Several small-molecule probes for Positron Emission Tomography (PET) have been proposed to study OATP transporter activity and to assess the interplay between sinusoidal uptake and canalicular efflux in vivo [ 13 , 19 , 40 ]. However, imaging protocols for selective determination of MRP2 activity at the canalicular interface are currently not available.…”
Section: Discussionmentioning
confidence: 99%
“…In vitro hepatocytes or in situ rodent liver perfusion have convincingly demonstrated the importance of canalicular MRP2 activity in controlling the liver-to-bile gradient [ 11 , 12 ]. Dynamic imaging methods using transporter probe substrates are being developed to study liver transporter activity in vivo [ 13 , 14 ]. Ideal imaging probes have to survive hepatic metabolism to avoid the generation of radiolabeled metabolites, which may confound the interpretation of the imaging data [ 14 ].…”
Section: Introductionmentioning
confidence: 99%
“…This approach has been termed as PK imaging and has proven suitable to assess the influence of membrane transporters on drug tissue distribution and excretion [ 14 ]. With dynamic acquisition and dedicated compartmental PK models, quantitative parameters describing drug transfer across biological membranes can be obtained, which can be related to the activity of different membrane transporters [ 15 , 16 , 17 ].…”
Section: Introductionmentioning
confidence: 99%
“…In addition, integration plot analysis has previously been applied to assess the influence of P-gp and BCRP on the biliary excretion of [ 11 C]erlotinib in mice [ 16 ]. Although integration plot analysis provided similar results for [ 11 C]erlotinib as in this study, it does not provide a complete picture of the hepatobiliary disposition of a radiotracer [ 10 ]. Moreover, the liver PK model used in this study considers the dual blood input to the liver via the portal vein and the hepatic artery.…”
Section: Discussionmentioning
confidence: 77%
“…On the other hand, small-animal PET imaging in mice offers the possibility to simultaneously and dynamically measure the whole-body disposition of radiolabeled molecules. In combination with suitable PK models, quantitative parameters can be obtained that can be related to membrane transporter activity in different organs [ 10 ]. The carbon-11 ( 11 C)-labeled third-generation P-gp inhibitors [ 11 C]tariquidar and [ 11 C]elacridar and the tyrosine kinase inhibitor [ 11 C]erlotinib are dual P-gp and BCRP substrates [ 6 , 7 , 11 ] and have been used to assess the activity of P-gp and BCRP at the human and mouse BBB [ 7 , 11 , 12 , 13 , 14 , 15 , 16 , 17 ].…”
Section: Introductionmentioning
confidence: 99%