Literature DB >> 29721633

Decreased VMAT2 in the pancreas of humans with type 2 diabetes mellitus measured in vivo by PET imaging.

Gary W Cline1, Mika Naganawa2, Laigao Chen3, Kristin Chidsey3, Santos Carvajal-Gonzalez3, Sylvester Pawlak3, Michelle Rossulek3, Yanwei Zhang3, Jason Bini2, Timothy J McCarthy3, Richard E Carson2, Roberto A Calle3.   

Abstract

AIMS/HYPOTHESIS: The progressive loss of beta cell function is part of the natural history of type 2 diabetes. Autopsy studies suggest that this is, in part, due to loss of beta cell mass (BCM), but this has not been confirmed in vivo. Non-invasive methods to quantify BCM may contribute to a better understanding of type 2 diabetes pathophysiology and the development of therapeutic strategies. In humans, the localisation of vesicular monoamine transporter type 2 (VMAT2) in beta cells and pancreatic polypeptide cells, with minimal expression in other exocrine or endocrine pancreatic cells, has led to its development as a measure of BCM. We used the VMAT2 tracer [18F]fluoropropyl-(+)-dihydrotetrabenazine to quantify BCM in humans with impaired glucose tolerance (prediabetes) or type 2 diabetes, and in healthy obese volunteers (HOV).
METHODS: Dynamic positron emission tomography (PET) data were obtained for 4 h with metabolite-corrected arterial blood measurement in 16 HOV, five prediabetic and 17 type 2 diabetic participants. Eleven participants (six HOV and five with type 2 diabetes) underwent two abdominal PET/computed tomography (CT) scans for the assessment of test-retest variability. Standardised uptake value ratio (SUVR) was calculated in pancreatic subregions (head, body and tail), with the spleen as a reference region to determine non-specific tracer uptake at 3-4 h. The outcome measure SUVR minus 1 (SUVR-1) accounts for non-specific tracer uptake. Functional beta cell capacity was assessed by C-peptide release following standard (arginine stimulus test [AST]) and acute insulin response to the glucose-enhanced AST (AIRargMAX). Pearson correlation analysis was performed between the binding variables and the C-peptide AUC post-AST and post-AIRargMAX.
RESULTS: Absolute test-retest variability (aTRV) was ≤15% for all regions. Variability and overlap of SUVR-1 was measured in all groups; HOV and participants with prediabetes and with type 2 diabetes. SUVR-1 showed significant positive correlations with AIRargMAX (all groups) in all pancreas subregions (whole pancreas p = 0.009 and pancreas head p = 0.009; body p = 0.019 and tail p = 0.023). SUVR-1 inversely correlated with HbA1c (all groups) in the whole pancreas (p = 0.033) and pancreas head (p = 0.008). SUVR-1 also inversely correlated with years since diagnosis of type 2 diabetes in the pancreas head (p = 0.049) and pancreas tail (p = 0.035). CONCLUSIONS/
INTERPRETATION: The observed correlations of VMAT2 density in the pancreas and pancreas regions with years since diagnosis of type 2 diabetes, glycaemic control and beta cell function suggest that loss of BCM contributes to deficient insulin secretion in humans with type 2 diabetes.

Entities:  

Keywords:  Beta cell mass; PET imaging; Pancreas; Type 2 diabetes; VMAT2

Mesh:

Substances:

Year:  2018        PMID: 29721633     DOI: 10.1007/s00125-018-4624-0

Source DB:  PubMed          Journal:  Diabetologia        ISSN: 0012-186X            Impact factor:   10.122


  32 in total

1.  [11C]5-hydroxy-tryptophan PET for Assessment of Islet Mass During Progression of Type 2 Diabetes.

Authors:  Lina Carlbom; Daniel Espes; Mark Lubberink; Mats Martinell; Lars Johansson; Håkan Ahlström; Per-Ola Carlsson; Olle Korsgren; Olof Eriksson
Journal:  Diabetes       Date:  2017-02-28       Impact factor: 9.461

2.  Non-invasive quantification of the beta cell mass by SPECT with ¹¹¹In-labelled exendin.

Authors:  Maarten Brom; Wietske Woliner-van der Weg; Lieke Joosten; Cathelijne Frielink; Thomas Bouckenooghe; Paul Rijken; Karolina Andralojc; Burkhard J Göke; Marion de Jong; Decio L Eizirik; Martin Béhé; Tony Lahoutte; Wim J G Oyen; Cees J Tack; Marcel Janssen; Otto C Boerman; Martin Gotthardt
Journal:  Diabetologia       Date:  2014-02-01       Impact factor: 10.122

3.  Characterization of optically resolved 9-fluoropropyl-dihydrotetrabenazine as a potential PET imaging agent targeting vesicular monoamine transporters.

Authors:  Mei-Ping Kung; Catherine Hou; Rajesh Goswami; Datta E Ponde; Michael R Kilbourn; Hank F Kung
Journal:  Nucl Med Biol       Date:  2007-04       Impact factor: 2.408

4.  Loss of β-Cell Identity Occurs in Type 2 Diabetes and Is Associated With Islet Amyloid Deposits.

Authors:  H Siebe Spijker; Heein Song; Johanne H Ellenbroek; Maaike M Roefs; Marten A Engelse; Erik Bos; Abraham J Koster; Ton J Rabelink; Barbara C Hansen; Anne Clark; Françoise Carlotti; Eelco J P de Koning
Journal:  Diabetes       Date:  2015-04-27       Impact factor: 9.461

5.  Evaluation of pancreatic VMAT2 binding with active and inactive enantiomers of 18F-FP-DTBZ in baboons.

Authors:  Mika Naganawa; Shu-Fei Lin; Keunpoong Lim; David Labaree; Jim Ropchan; Paul Harris; Yiyun Huang; Masanori Ichise; Richard E Carson; Gary W Cline
Journal:  Nucl Med Biol       Date:  2016-09-02       Impact factor: 2.408

6.  Relationship between pancreatic vesicular monoamine transporter 2 (VMAT2) and insulin expression in human pancreas.

Authors:  Yoshifumi Saisho; Paul E Harris; Alexandra E Butler; Ryan Galasso; Tatyana Gurlo; Robert A Rizza; Peter C Butler
Journal:  J Mol Histol       Date:  2008-09-13       Impact factor: 2.611

7.  Pancreatic β cell dedifferentiation as a mechanism of diabetic β cell failure.

Authors:  Chutima Talchai; Shouhong Xuan; Hua V Lin; Lori Sussel; Domenico Accili
Journal:  Cell       Date:  2012-09-14       Impact factor: 41.582

8.  Pancreatic beta-cell mass in European subjects with type 2 diabetes.

Authors:  J Rahier; Y Guiot; R M Goebbels; C Sempoux; J C Henquin
Journal:  Diabetes Obes Metab       Date:  2008-11       Impact factor: 6.577

9.  In vivo imaging of endogenous pancreatic β-cell mass in healthy and type 1 diabetic subjects using 18F-fluoropropyl-dihydrotetrabenazine and PET.

Authors:  Marc D Normandin; Kitt F Petersen; Yu-Shin Ding; Shu-Fei Lin; Sarita Naik; Krista Fowles; Daniel M Skovronsky; Kevan C Herold; Timothy J McCarthy; Roberto A Calle; Richard E Carson; Judith L Treadway; Gary W Cline
Journal:  J Nucl Med       Date:  2012-05-09       Impact factor: 10.057

10.  β-cell mass and turnover in humans: effects of obesity and aging.

Authors:  Yoshifumi Saisho; Alexandra E Butler; Erica Manesso; David Elashoff; Robert A Rizza; Peter C Butler
Journal:  Diabetes Care       Date:  2012-08-08       Impact factor: 19.112

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  8 in total

Review 1.  Futility of attempts to detect and quantify beta cells by PET imaging in the pancreas: why it is time to abandon the approach.

Authors:  Abass Alavi; Thomas J Werner
Journal:  Diabetologia       Date:  2018-06-29       Impact factor: 10.122

2.  Noninvasive longitudinal quantification of β-cell mass with [111In]-labeled exendin-4.

Authors:  Naotaka Fujita; Hiroyuki Fujimoto; Keita Hamamatsu; Takaaki Murakami; Hiroyuki Kimura; Kentaro Toyoda; Hideo Saji; Nobuya Inagaki
Journal:  FASEB J       Date:  2019-08-01       Impact factor: 5.191

3.  PET Imaging of Pancreatic Dopamine D2 and D3 Receptor Density with 11C-(+)-PHNO in Type 1 Diabetes.

Authors:  Jason Bini; Elizabeth Sanchez-Rangel; Jean-Dominique Gallezot; Mika Naganawa; Nabeel Nabulsi; Keunpoong Lim; Soheila Najafzadeh; Anupama Shirali; Jim Ropchan; David Matuskey; Yiyun Huang; Kevan C Herold; Paul E Harris; Robert S Sherwin; Richard E Carson; Gary W Cline
Journal:  J Nucl Med       Date:  2019-10-10       Impact factor: 11.082

4.  Clinical and scientific value in the pursuit of quantification of beta cells in the pancreas by PET imaging.

Authors:  Gary W Cline; Timothy J McCarthy; Richard E Carson; Roberto A Calle
Journal:  Diabetologia       Date:  2018-08-22       Impact factor: 10.460

5.  RNA aptamers specific for transmembrane p24 trafficking protein 6 and Clusterin for the targeted delivery of imaging reagents and RNA therapeutics to human β cells.

Authors:  Dimitri Van Simaeys; Adriana De La Fuente; Serena Zilio; Alessia Zoso; Victoria Kuznetsova; Oscar Alcazar; Peter Buchwald; Andrea Grilli; Jimmy Caroli; Silvio Bicciato; Paolo Serafini
Journal:  Nat Commun       Date:  2022-04-05       Impact factor: 17.694

Review 6.  The β Cell in Diabetes: Integrating Biomarkers With Functional Measures.

Authors:  Steven E Kahn; Yi-Chun Chen; Nathalie Esser; Austin J Taylor; Daniël H van Raalte; Sakeneh Zraika; C Bruce Verchere
Journal:  Endocr Rev       Date:  2021-09-28       Impact factor: 25.261

7.  Detection and quantification of beta cells by PET imaging: why clinical implementation has never been closer.

Authors:  Martin Gotthardt; Decio L Eizirik; Henk-Jan Aanstoot; Olle Korsgren; Dick Mul; Frank Martin; Marti Boss; Tom J P Jansen; Sanne A M van Lith; Mijke Buitinga; Olof Eriksson; Miriam Cnop; Maarten Brom
Journal:  Diabetologia       Date:  2018-10-03       Impact factor: 10.122

Review 8.  The Current State of Beta-Cell-Mass PET Imaging for Diabetes Research and Therapies.

Authors:  Pierre Cheung; Olof Eriksson
Journal:  Biomedicines       Date:  2021-12-03
  8 in total

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