Literature DB >> 15628819

Non-invasive imaging of beta cell mass: a quantitative analysis.

Ian R Sweet1, Daniel L Cook, Ake Lernmark, Carla J Greenbaum, Kenneth A Krohn.   

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.

Entities:  

Mesh:

Year:  2004        PMID: 15628819     DOI: 10.1089/dia.2004.6.652

Source DB:  PubMed          Journal:  Diabetes Technol Ther        ISSN: 1520-9156            Impact factor:   6.118


  32 in total

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Authors:  Olof Eriksson; Abass Alavi
Journal:  Eur J Nucl Med Mol Imaging       Date:  2011-09-20       Impact factor: 9.236

2.  Getting beta all the time: discovery of reliable markers of beta cell mass.

Authors:  J C Hutton; H W Davidson
Journal:  Diabetologia       Date:  2010-04-22       Impact factor: 10.122

3.  Current status of imaging pancreatic islets.

Authors:  John Virostko; Eric Duco Jansen; Alvin C Powers
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4.  Pretargeting vs. direct targeting of human betalox5 islet cells subcutaneously implanted in mice using an anti-human islet cell antibody.

Authors:  Guozheng Liu; Shuping Dou; Ali Akalin; Mary Rusckowski; Philip R Streeter; Leonard D Shultz; Dale L Greiner
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Review 5.  Noninvasive imaging of islet transplantation and rejection.

Authors:  Jason L Gaglia
Journal:  Curr Diab Rep       Date:  2007-08       Impact factor: 4.810

Review 6.  Noninvasive imaging of pancreatic beta cells.

Authors:  Willy J Malaisse; Karim Louchami; Abdullah Sener
Journal:  Nat Rev Endocrinol       Date:  2009-05-26       Impact factor: 43.330

Review 7.  A review of imaging agent development.

Authors:  Eric D Agdeppa; Mary E Spilker
Journal:  AAPS J       Date:  2009-05-05       Impact factor: 4.009

8.  Unique sphingomyelin patches are targets of a beta-cell-specific antibody.

Authors:  Amol Kavishwar; Zdravka Medarova; Anna Moore
Journal:  J Lipid Res       Date:  2011-07-11       Impact factor: 5.922

9.  Failed PET Application Attempts in the Past, Can We Avoid Them in the Future?

Authors:  Gang Cheng; Thomas J Werner; Andrew Newberg; Abass Alavi
Journal:  Mol Imaging Biol       Date:  2016-12       Impact factor: 3.488

10.  Generation of novel single-chain antibodies by phage-display technology to direct imaging agents highly selective to pancreatic beta- or alpha-cells in vivo.

Authors:  Sandra Ueberberg; Juris J Meier; Carmen Waengler; Wolfgang Schechinger; Johannes W Dietrich; Andrea Tannapfel; Inge Schmitz; Ralf Schirrmacher; Manfred Köller; Harald H Klein; Stephan Schneider
Journal:  Diabetes       Date:  2009-07-10       Impact factor: 9.461

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