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Non-invasive Beta-cell Imaging: Visualization, Quantification, and Beyond

Pancreatic beta (β)-cell dysfunction and reduced mass play a central role in the development and progression of diabetes mellitus. Conventional histological β-cell mass (BCM) analysis is invasive and limited to cross-sectional observations in a restricted sampling area. However, the non-invasive eva...

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Autores principales: Murakami, Takaaki, Fujimoto, Hiroyuki, Inagaki, Nobuya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8270651/
https://www.ncbi.nlm.nih.gov/pubmed/34248856
http://dx.doi.org/10.3389/fendo.2021.714348
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author Murakami, Takaaki
Fujimoto, Hiroyuki
Inagaki, Nobuya
author_facet Murakami, Takaaki
Fujimoto, Hiroyuki
Inagaki, Nobuya
author_sort Murakami, Takaaki
collection PubMed
description Pancreatic beta (β)-cell dysfunction and reduced mass play a central role in the development and progression of diabetes mellitus. Conventional histological β-cell mass (BCM) analysis is invasive and limited to cross-sectional observations in a restricted sampling area. However, the non-invasive evaluation of BCM remains elusive, and practical in vivo and clinical techniques for β-cell-specific imaging are yet to be established. The lack of such techniques hampers a deeper understanding of the pathophysiological role of BCM in diabetes, the implementation of personalized BCM-based diabetes management, and the development of antidiabetic therapies targeting BCM preservation and restoration. Nuclear medical techniques have recently triggered a major leap in this field. In particular, radioisotope-labeled probes using exendin peptides that include glucagon-like peptide-1 receptor (GLP-1R) agonist and antagonist have been employed in positron emission tomography and single-photon emission computed tomography. These probes have demonstrated high specificity to β cells and provide clear images accurately showing uptake in the pancreas and transplanted islets in preclinical in vivo and clinical studies. One of these probes, (111)indium-labeled exendin-4 derivative ([Lys(12)((111)In-BnDTPA-Ahx)]exendin-4), has captured the longitudinal changes in BCM during the development and progression of diabetes and under antidiabetic therapies in various mouse models of type 1 and type 2 diabetes mellitus. GLP-1R-targeted imaging is therefore a promising tool for non-invasive BCM evaluation. This review focuses on recent advances in non-invasive in vivo β-cell imaging for BCM evaluation in the field of diabetes; in particular, the exendin-based GLP-1R-targeted nuclear medicine techniques.
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spelling pubmed-82706512021-07-10 Non-invasive Beta-cell Imaging: Visualization, Quantification, and Beyond Murakami, Takaaki Fujimoto, Hiroyuki Inagaki, Nobuya Front Endocrinol (Lausanne) Endocrinology Pancreatic beta (β)-cell dysfunction and reduced mass play a central role in the development and progression of diabetes mellitus. Conventional histological β-cell mass (BCM) analysis is invasive and limited to cross-sectional observations in a restricted sampling area. However, the non-invasive evaluation of BCM remains elusive, and practical in vivo and clinical techniques for β-cell-specific imaging are yet to be established. The lack of such techniques hampers a deeper understanding of the pathophysiological role of BCM in diabetes, the implementation of personalized BCM-based diabetes management, and the development of antidiabetic therapies targeting BCM preservation and restoration. Nuclear medical techniques have recently triggered a major leap in this field. In particular, radioisotope-labeled probes using exendin peptides that include glucagon-like peptide-1 receptor (GLP-1R) agonist and antagonist have been employed in positron emission tomography and single-photon emission computed tomography. These probes have demonstrated high specificity to β cells and provide clear images accurately showing uptake in the pancreas and transplanted islets in preclinical in vivo and clinical studies. One of these probes, (111)indium-labeled exendin-4 derivative ([Lys(12)((111)In-BnDTPA-Ahx)]exendin-4), has captured the longitudinal changes in BCM during the development and progression of diabetes and under antidiabetic therapies in various mouse models of type 1 and type 2 diabetes mellitus. GLP-1R-targeted imaging is therefore a promising tool for non-invasive BCM evaluation. This review focuses on recent advances in non-invasive in vivo β-cell imaging for BCM evaluation in the field of diabetes; in particular, the exendin-based GLP-1R-targeted nuclear medicine techniques. Frontiers Media S.A. 2021-06-25 /pmc/articles/PMC8270651/ /pubmed/34248856 http://dx.doi.org/10.3389/fendo.2021.714348 Text en Copyright © 2021 Murakami, Fujimoto and Inagaki https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Endocrinology
Murakami, Takaaki
Fujimoto, Hiroyuki
Inagaki, Nobuya
Non-invasive Beta-cell Imaging: Visualization, Quantification, and Beyond
title Non-invasive Beta-cell Imaging: Visualization, Quantification, and Beyond
title_full Non-invasive Beta-cell Imaging: Visualization, Quantification, and Beyond
title_fullStr Non-invasive Beta-cell Imaging: Visualization, Quantification, and Beyond
title_full_unstemmed Non-invasive Beta-cell Imaging: Visualization, Quantification, and Beyond
title_short Non-invasive Beta-cell Imaging: Visualization, Quantification, and Beyond
title_sort non-invasive beta-cell imaging: visualization, quantification, and beyond
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8270651/
https://www.ncbi.nlm.nih.gov/pubmed/34248856
http://dx.doi.org/10.3389/fendo.2021.714348
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