Literature DB >> 32331709

Concepts for design and analysis of receptor radiopharmaceuticals: The Receptor-Binding Radiotracers series of meetings provided the foundation.

Kenneth A Krohn1, David R Vera2.   

Abstract

A symposium at George Washington University on Receptor-Binding Radiotracers in 1980 and three follow-up meetings held at University of California, San Diego provided a forum for debating the critical concepts involved in the new field of designing and evaluating radiotracers for imaging receptors and transporters. This review is intended to educate young investigators who may be relatively new to receptor radiopharmaceutical development. Our anticipated audience includes researchers in basic pharmacology, radiochemistry, imaging technology and kinetic data analysis and how these disciplines have worked together to build our understanding of the human biology of transporters and receptor signaling in health and disease. We have chosen to focus on radiochemical design of a useful imaging agent and how design is coupled to analysis of data collected from dynamic imaging with that agent. Some pharmacology may be required for designing the imaging agent and some imaging physics may be important in optimizing the quality of data that is collected. However, the key to a successful imaging agent is matching the radiotracer to the target receptor and to analysis of the time-course data that is used to parse delivery from specific binding and subsequent metabolism or degradation. Properly designed imaging agents are providing critical information about human biology in health and disease as well as pharmacodynamic response to drug interventions. The review emphasizes some of the ideas that were controversial at the 1980 conference and chronicles with literature examples how they have resolved over the four decades of using radiotracers to study transporters and receptors in human subjects. These examples show that there are situations where a very small KD, i.e. high affinity, has the potential to yield an image that reflects blood flow more than receptor density. The examples also show that by combining two studies, one with high specific activity and a second with low specific activity injections one can unravel the pseudo-first order rate B'max into the true second-order rate constant, k3, and the unoccupied receptor density. The final section describes how mathematical methods first presented to the receptor-imaging community in 1980 are now being used to provide confidence in the analysis of kinetic biodistribution studies. Our hope is that by bringing these concepts together in a single review, the next generation of scientists developing receptor imaging agents can be much more efficient than their pioneers in developing useful imaging methods.
Copyright © 2020. Published by Elsevier Inc.

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Year:  2020        PMID: 32331709      PMCID: PMC8049838          DOI: 10.1016/j.nucmedbio.2020.03.002

Source DB:  PubMed          Journal:  Nucl Med Biol        ISSN: 0969-8051            Impact factor:   2.408


  62 in total

1.  Identifiability analysis and parameter identification of an in vivo ligand-receptor model from PET data.

Authors:  J Delforge; A Syrota; B M Mazoyer
Journal:  IEEE Trans Biomed Eng       Date:  1990-07       Impact factor: 4.538

Review 2.  Ligand binding assays at equilibrium: validation and interpretation.

Authors:  Edward C Hulme; Mike A Trevethick
Journal:  Br J Pharmacol       Date:  2010-11       Impact factor: 8.739

3.  Dynamic PET of human liver inflammation: impact of kinetic modeling with optimization-derived dual-blood input function.

Authors:  Guobao Wang; Michael T Corwin; Kristin A Olson; Ramsey D Badawi; Souvik Sarkar
Journal:  Phys Med Biol       Date:  2018-07-24       Impact factor: 3.609

4.  William C. Eckelman to be honored for achievement in basic science.

Authors:  K Harby
Journal:  J Nucl Med       Date:  1988-05       Impact factor: 10.057

5.  In vivo measurement of density and affinity of the monoamine vesicular transporter in a unilateral 6-hydroxydopamine rat model of PD.

Authors:  Vesna Sossi; James E Holden; Geoffrey J Topping; Marie-Laure Camborde; Rich A Kornelsen; Siobhan E McCormick; Jennifer Greene; Andrei R Studenov; Thomas J Ruth; Doris J Doudet
Journal:  J Cereb Blood Flow Metab       Date:  2007-01-24       Impact factor: 6.200

6.  Substituent constants for correlation analysis.

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Journal:  J Med Chem       Date:  1977-02       Impact factor: 7.446

7.  Tc-99m-galactosyl-neoglycoalbumin: in vivo characterization of receptor-mediated binding to hepatocytes.

Authors:  D R Vera; K A Krohn; R C Stadalnik; P O Scheibe
Journal:  Radiology       Date:  1984-04       Impact factor: 11.105

8.  The classification of radiotracers.

Authors:  W C Eckelman; R C Reba
Journal:  J Nucl Med       Date:  1978-10       Impact factor: 10.057

9.  Tc-99m galactosyl-neoglycoalbumin: in vitro characterization of receptor-mediated binding.

Authors:  D R Vera; K A Krohn; R C Stadalnik; P O Scheibe
Journal:  J Nucl Med       Date:  1984-07       Impact factor: 10.057

Review 10.  Clinical application of TcGSA.

Authors:  Norihiro Kokudo; David R Vera; Masatoshi Makuuchi
Journal:  Nucl Med Biol       Date:  2003-11       Impact factor: 2.408

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  1 in total

Review 1.  PET Imaging Agents (FES, FFNP, and FDHT) for Estrogen, Androgen, and Progesterone Receptors to Improve Management of Breast and Prostate Cancers by Functional Imaging.

Authors:  John A Katzenellenbogen
Journal:  Cancers (Basel)       Date:  2020-07-23       Impact factor: 6.639

  1 in total

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