Shruti S Joshi
Non-invasive imaging of functional pancreatic islet beta-cell mass in people with type 1 diabetes mellitus
Joshi, Shruti S; Singh, Trisha; Kershaw, Lucy E; Gibb, Fraser W; Dweck, Marc R; Williams, Michelle; Idris, Iskandar; Semple, Scott; Forbes, Shareen; Newby, David E; Reynolds, Rebecca M
Authors
Trisha Singh
Lucy E Kershaw
Fraser W Gibb
Marc R Dweck
Michelle Williams
ISKANDAR IDRIS Iskandar.Idris@nottingham.ac.uk
Professor of Diabetes and Metabolic Medicine
Scott Semple
Shareen Forbes
David E Newby
Rebecca M Reynolds
Abstract
To investigate whether manganese-enhanced magnetic resonance imaging can assess functional pancreatic beta-cell mass in people with type 1 diabetes mellitus. In a prospective case-control study, 20 people with type 1 diabetes mellitus (10 with low (≥50 pmol/L) and 10 with very low (<50 pmol/L) C-peptide concentrations) and 15 healthy volunteers underwent manganese-enhanced magnetic resonance imaging of the pancreas following an oral glucose load. Scan-rescan reproducibility was performed in 10 participants. Mean pancreatic manganese uptake was 31 ± 6 mL/100 g of tissue/min in healthy volunteers (median 32 [interquartile range 23-36] years, 6 women), falling to 23 ± 4 and 13 ± 5 mL/100 g of tissue/min (p ≤ 0.002 for both) in people with type1 diabetes mellitus (52 [44-61] years, 6 women) and low or very low plasma C-peptide concentrations respectively. Pancreatic manganese uptake correlated strongly with plasma C-peptide concentrations in people with type1 diabetes mellitus (r = 0.73, p < 0.001) but not in healthy volunteers (r = -0.054, p = 0.880). There were no statistically significant correlations between manganese uptake and age, body-mass index, or glycated haemoglobin. There was strong intra-observer (mean difference: 0.31 (limits of agreement -1.42 to 2.05) mL/100 g of tissue/min; intra-class correlation, ICC = 0.99), inter-observer (-1.23 (-5.74 to 3.27) mL/100 g of tissue/min; ICC = 0.85) and scan-rescan (-0.72 (-2.9 to 1.6) mL/100 g of tissue/min; ICC = 0.96) agreement for pancreatic manganese uptake. Manganese-enhanced magnetic resonance imaging provides a potential reproducible non-invasive measure of functional beta-cell mass in people with type 1 diabetes mellitus. This holds major promise for investigating type 1 diabetes, monitoring disease progression and assessing novel immunomodulatory interventions. [Abstract copyright: © 2023 The Authors. Diabetic Medicine published by John Wiley & Sons Ltd on behalf of Diabetes UK.]
Citation
Joshi, S. S., Singh, T., Kershaw, L. E., Gibb, F. W., Dweck, M. R., Williams, M., …Reynolds, R. M. (2023). Non-invasive imaging of functional pancreatic islet beta-cell mass in people with type 1 diabetes mellitus. Diabetic Medicine, 40(10), Article e15111. https://doi.org/10.1111/dme.15111
Journal Article Type | Article |
---|---|
Acceptance Date | Apr 6, 2023 |
Online Publication Date | Apr 10, 2023 |
Publication Date | 2023-10 |
Deposit Date | Sep 27, 2023 |
Publicly Available Date | Sep 27, 2023 |
Journal | Diabetic Medicine |
Print ISSN | 0742-3071 |
Publisher | Wiley |
Peer Reviewed | Peer Reviewed |
Volume | 40 |
Issue | 10 |
Article Number | e15111 |
DOI | https://doi.org/10.1111/dme.15111 |
Keywords | pancreatic beta-cells, magnetic resonance imaging, type 1 diabetes mellitus |
Public URL | https://nottingham-repository.worktribe.com/output/19992770 |
Publisher URL | https://onlinelibrary.wiley.com/doi/full/10.1111/dme.15111 |
Files
Diabetic Medicine - 2023 - Joshi
(929 Kb)
PDF
Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/
You might also like
Genetic polymorphisms of the endocannabinoid system in obesity and diabetes
(2018)
Journal Article
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search