Non-invasive imaging of beta cell mass: a quantitative analysis.
Sweet, Ian R ; Cook, Daniel L ; Lernmark, Åke LU
; Greenbaum, Carla J
and Krohn, Kenneth A
(2004)
In Diabetes Technology & Therapeutics
6(5).
p.652-659
- Abstract
- BACKGROUND: Currently there are major efforts to develop strategies for the in vivo imaging of pancreatic beta cell mass as a clinical and investigational tool for detecting and tracking the loss of beta cells that underlies the progression of Type I diabetes. However, beta cells constitute only about 1% of pancreatic mass and are distributed throughout the pancreas within tiny islets of Langerhans that are each less than the spatial resolution of non-invasive imaging technologies. METHODS: To estimate the requisite binding characteristics of a candidate beta cell imaging agent, calculations of the beta cell contribution to a positron emission tomography signal were made using simple equations. These were based on the relative population... (More)
- BACKGROUND: Currently there are major efforts to develop strategies for the in vivo imaging of pancreatic beta cell mass as a clinical and investigational tool for detecting and tracking the loss of beta cells that underlies the progression of Type I diabetes. However, beta cells constitute only about 1% of pancreatic mass and are distributed throughout the pancreas within tiny islets of Langerhans that are each less than the spatial resolution of non-invasive imaging technologies. METHODS: To estimate the requisite binding characteristics of a candidate beta cell imaging agent, calculations of the beta cell contribution to a positron emission tomography signal were made using simple equations. These were based on the relative population of beta cells and non-beta cells within the pancreas and surrounding tissue and an equation describing equilibrium ligand binding. RESULTS: The calculations show that two criteria must be met: (1) The low-volume fraction of beta cells within the exocrine pancreas (about 1:100) requires that beta cells retain labeled imaging agents at least 1,000-fold more strongly than exocrine cells. (2) Agents that label cell surface receptors, even if beta cell-specific, must do so at a high enough level so that the imaging signal arising from unbound label retained in extracellular spaces must not overwhelm signals from labeled beta cells. CONCLUSIONS: The limits developed here can serve as criteria for identifying candidate imaging agents for the in vivo imaging of beta cell mass, thereby avoiding expensive preclinical development using compounds that have no chance of success. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1129982
- author
- Sweet, Ian R
; Cook, Daniel L
; Lernmark, Åke
LU
; Greenbaum, Carla J
and Krohn, Kenneth A
- publishing date
- 2004
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Diabetes Technology & Therapeutics
- volume
- 6
- issue
- 5
- pages
- 652 - 659
- publisher
- Mary Ann Liebert, Inc.
- external identifiers
-
- scopus:6044234743
- ISSN
- 1520-9156
- DOI
- 10.1089/dia.2004.6.652
- language
- English
- LU publication?
- no
- id
- ad7eb6ce-3519-4eb7-a951-68832f6933bc (old id 1129982)
- date added to LUP
- 2016-04-01 12:18:01
- date last changed
- 2022-01-27 01:45:05
@article{ad7eb6ce-3519-4eb7-a951-68832f6933bc,
abstract = {{BACKGROUND: Currently there are major efforts to develop strategies for the in vivo imaging of pancreatic beta cell mass as a clinical and investigational tool for detecting and tracking the loss of beta cells that underlies the progression of Type I diabetes. However, beta cells constitute only about 1% of pancreatic mass and are distributed throughout the pancreas within tiny islets of Langerhans that are each less than the spatial resolution of non-invasive imaging technologies. METHODS: To estimate the requisite binding characteristics of a candidate beta cell imaging agent, calculations of the beta cell contribution to a positron emission tomography signal were made using simple equations. These were based on the relative population of beta cells and non-beta cells within the pancreas and surrounding tissue and an equation describing equilibrium ligand binding. RESULTS: The calculations show that two criteria must be met: (1) The low-volume fraction of beta cells within the exocrine pancreas (about 1:100) requires that beta cells retain labeled imaging agents at least 1,000-fold more strongly than exocrine cells. (2) Agents that label cell surface receptors, even if beta cell-specific, must do so at a high enough level so that the imaging signal arising from unbound label retained in extracellular spaces must not overwhelm signals from labeled beta cells. CONCLUSIONS: The limits developed here can serve as criteria for identifying candidate imaging agents for the in vivo imaging of beta cell mass, thereby avoiding expensive preclinical development using compounds that have no chance of success.}},
author = {{Sweet, Ian R and Cook, Daniel L and Lernmark, Åke and Greenbaum, Carla J and Krohn, Kenneth A}},
issn = {{1520-9156}},
language = {{eng}},
number = {{5}},
pages = {{652--659}},
publisher = {{Mary Ann Liebert, Inc.}},
series = {{Diabetes Technology & Therapeutics}},
title = {{Non-invasive imaging of beta cell mass: a quantitative analysis.}},
url = {{http://dx.doi.org/10.1089/dia.2004.6.652}},
doi = {{10.1089/dia.2004.6.652}},
volume = {{6}},
year = {{2004}},
}