ArticleCell and tissue banking2018
Encompassing ATP, DNA, insulin, and protein content for quantification and assessment of human pancreatic islets.
Article in Cell and tissue banking, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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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
13 citing papers in PubMed, 18 citations in OpenAlex.
- Enhanced hypoxia resistance distinguishes human pluripotent stem cell-derived islets from primary islets.American journal of physiology. Cell physiology · 2026Article
- Biological hypoxia in pre-transplant human pancreatic islets induces transplant failure in diabetic mice.Scientific reports · 2024Article
- Microwell culture platform maintains viability and mass of human pancreatic islets.Frontiers in endocrinology · 2022Article
- ATP Secretion and Metabolism in Regulating Pancreatic Beta Cell Functions and Hepatic Glycolipid Metabolism.Frontiers in physiology · 2022Review
- Necrostatin-1 Supplementation to Islet Tissue Culture Enhances the In-Vitro Development and Graft Function of Young Porcine Islets.International journal of molecular sciences · 2021Article
- Building Biomimetic Potency Tests for Islet Transplantation.Diabetes · 2021Review
- An islet maturation media to improve the development of young porcine islets during in vitro culture.Islets · 2020Article
- Dose-dependent effects of necrostatin-1 supplementation to tissue culture media of young porcine islets.PloS one · 2020Article
- The challenge of correctly reporting hormones content and secretion in isolated human islets.Molecular metabolism · 2019Review
- Islet Transplantation in the Lung via Endoscopic Aerosolization: Investigation of Feasibility, Islet Cluster Cell Vitality, and Structural Integrity.Cell transplantationArticle
- Long-term culture of human pancreatic islets reveals reduced metal ion pathways in their gene signature.Cell transplantationArticle
- Semi-Automated Assessment of Human Islet Viability Predicts Transplantation Outcomes in a Diabetic Mouse Model.Cell transplantationArticle
- Physiomimetic Fluidic Culture Platform on Microwell-Patterned Porous Collagen Scaffold for Human Pancreatic Islets.Cell transplantationArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Islet transplantation has made major progress to treat patients with type 1 diabetes. Islet mass and quality are critically important to ensure successful transplantation. Currently, islet status is evaluated using insulin secretion, oxygen consumption rate, or adenosine triphosphate (ATP) measurement. These parameters are evaluated independently and do not effectively predict islet status post-transplant. Therefore, assessing human pancreatic islets by encompassing ATP, DNA, insulin, and protein content from a single tissue sample would serve as a better predictor for islet status. In this study, a single step procedure for extracting ATP, DNA, insulin, and protein content from human pancreatic islets was described and the biomolecule contents were quantified. Additionally, different mathematical calculations integrating total ATP, DNA, insulin, and protein content were randomly tested under various conditions to predict islet status. The results demonstrated that the ATP assay was efficient and the biomolecules were effectively quantified. Furthermore, the mathematical formula we developed could be optimized to predict islet status. In conclusion, our results indicate a proof-of-concept that a simple logarithmic formula can predict overall islet status for various conditions when total islet ATP, DNA, insulin, and protein content are simultaneously assessed from a single tissue sample.
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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 OpenQuestion graph.