ReviewInternational journal of molecular sciences2020
Beta Cell Imaging-From Pre-Clinical Validation to First in Man Testing.
Review in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 11 citations in OpenAlex.
- Pancreatic islets: new discoveries for innovative treatments of diabetes?Diabetologia · 2026Review
- Upconverting Nanoparticles for Bimodal Luminescence and Magnetic Resonance Imaging of Langerhans Islets.Small science · 2026Article
- Quantitative β-Cell Mass Imaging Redefines Disease Staging and Glycemic Control in Type 1 Diabetes.Diabetes · 2026Article
- Changes in pancreatic levodopa uptake in patients with obesity and new-onset type 2 diabetes: an 18F-FDOPA PET-CT study.Frontiers in endocrinology · 2025Article
- Illuminating the complete ß-cell mass of the human pancreas- signifying a new view on the islets of Langerhans.Nature communications · 2024Article
- Development of an ostrich-derived single-chain variable fragment (scFv) against PTPRN extracellular domain.Scientific reports · 2024Article
- Imaging in Type 1 Diabetes, Current Perspectives and Directions.Molecular imaging and biology · 2023Article
- GLP-1R Signaling and Functional Molecules in Incretin Therapy.Molecules (Basel, Switzerland) · 2023Review
- Multipotent Mesenchymal Stromal Cells Interact and Support Islet of Langerhans Viability and Function.Frontiers in endocrinology · 2022Review
- Review
- Mitogen Synergy: An Emerging Route to Boosting Human Beta Cell Proliferation.Frontiers in cell and developmental biology · 2021Review
- Non-invasive Beta-cell Imaging: Visualization, Quantification, and Beyond.Frontiers in endocrinology · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
Abstract
There are presently no reliable ways to quantify human pancreatic beta cell mass (BCM) in vivo, which prevents an accurate understanding of the progressive beta cell loss in diabetes or following islet transplantation. Furthermore, the lack of beta cell imaging hampers the evaluation of the impact of new drugs aiming to prevent beta cell loss or to restore BCM in diabetes. We presently discuss the potential value of BCM determination as a cornerstone for individualized therapies in diabetes, describe the presently available probes for human BCM evaluation, and discuss our approach for the discovery of novel beta cell biomarkers, based on the determination of specific splice variants present in human beta cells. This has already led to the identification of DPP6 and FXYD2ga as two promising targets for human BCM imaging, and is followed by a discussion of potential safety issues, the role for radiochemistry in the improvement of BCM imaging, and concludes with an overview of the different steps from pre-clinical validation to a first-in-man trial for novel tracers.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.