Journal article
Morphological and functional alterations in type 2 diabetes pancreata assessed with MRI-based metrics and [18F]FP-(+)-DTBZ PET
Frontiers in endocrinology (Lausanne), Vol.16, 1724340
12/01/2025
DOI: 10.3389/fendo.2025.1724340
PMCID: PMC12756075
PMID: 41488139
Abstract
ObjectiveTo determine if combining PET-derived beta-cell mass (BCM) estimates with MRI-based morphology metrics improves the prediction of beta-cell functional mass in type 2 diabetes (T2D).MethodsWe performed a retrospective analysis of 40 participants—19 T2D individuals, 16 healthy obese volunteers (HOVs), and five prediabetes individuals—who underwent [18F]FP-(+)-DTBZ PET to quantify vesicular monoamine transporter type 2 (VMAT2) density [standardized uptake value ratio (SUVR-1)], T1-weighted MRI for 3D morphology metric analysis, and an arginine stimulation test to measure acute (AIRarg) and maximum (AIRargMAX) insulin responses. Least Absolute Shrinkage and Selection Operator (LASSO) regression models identified the optimal combination of positron emission tomography (PET), MRI, and clinical variables to predict beta-cell function for the whole pancreas and its subregions.ResultsCompared to HOVs, individuals with T2D exhibited significantly reduced AIRarg and AIRargMAX. Only the pancreas body volume was significantly smaller in the T2D cohort. For the whole pancreas, a model including PET-derived SUVR-1 and a subset of clinical covariates best predicted acute beta-cell function (AIRarg). However, predicting maximum functional reserve (AIRargMAX) required the addition of MRI-based morphology metrics in combination with SUVR-1 and a subset of clinical covariates.ConclusionWe combined PET imaging of BCM and MRI morphology metrics with a robust machine learning-based variable selection method to extract useful PET- and MRI-based metrics for predicting acute and maximum insulin responses. This synergistic approach offers a novel combination of biomarkers for staging disease and evaluating therapeutic interventions.
Details
- Title: Subtitle
- Morphological and functional alterations in type 2 diabetes pancreata assessed with MRI-based metrics and [18F]FP-(+)-DTBZ PET
- Creators
- Seyed Faraz Nejati - University of New HavenFaranak Ebrahimian Sadabad - University of New HavenRui Ren - University of New HavenYuan Huang - University of New HavenJason Bini - University of New Haven
- Resource Type
- Journal article
- Publication Details
- Frontiers in endocrinology (Lausanne), Vol.16, 1724340
- DOI
- 10.3389/fendo.2025.1724340
- PMID
- 41488139
- PMCID
- PMC12756075
- NLM abbreviation
- Front Endocrinol (Lausanne)
- ISSN
- 1664-2392
- eISSN
- 1664-2392
- Publisher
- Frontiers Media S.A
- Grant note
- National Institute of Diabetes and Digestive and Kidney Diseases: K01 DK118005
The author(s) declared financial support was received for this work and/or its publication. The authors received support from the National Institutes of Health/National Institute of Diabetes and Digestive and Kidney Diseases (K01DK118005 [JB]) during the writing of this manuscript. The author(s) declared that the previous imaging acquisitions received funding from the Pfizer Yale Bioimaging Alliance. The funder was not involved in the current retrospective study design, collection, analysis, interpretation of data, the writing of this article or the decision to submit it for publication.
- Language
- English
- Date published
- 12/01/2025
- Academic Unit
- Biostatistics
- Record Identifier
- 9985093908902771
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