ArticleActa physiologica (Oxford, England)2023
Global proteomics reveals insulin abundance as a marker of human islet homeostasis alterations.
Article in Acta physiologica (Oxford, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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Who cites it
5 citing papers in PubMed, 8 citations in OpenAlex.
- Defective HNF1A hinders GLI3 processing favoring duodenal versus pancreatic fate, thus leading to intestinal elongation in vivo.Genes & development · 2026Article
- Proteomic Analysis on Human Islets Suggests Nucleocytoplasmic Transport as a Mechanism of PERK Attenuation Effects in Diabetes.Molecular & cellular proteomics : MCP · 2026Article
- Endocrine-disrupting chemical exposure during differentiation alters the proliferation-maturation balance in stem-cell islets.Toxicological sciences : an official journal of the Society of Toxicology · 2026Article
- The age-dependent regulation of pancreatic islet landscape is fueled by a HNF1a-immune signaling loop.Mechanisms of ageing and development · 2024Article
- Molecular profiling of NOD mouse islets reveals a novel regulator of insulitis onset.Scientific reports · 2024Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
Abstract
aimThe variation in quality between the human islet samples represents a major problem for research, especially when used as control material. The assays assessing the quality of human islets used in research are non-standardized and limited, with many important parameters not being consistently assessed. High-throughput studies aimed at characterizing the diversity and segregation markers among apparently functionally healthy islet preps are thus a requirement. Here, we designed a pilot study to comprehensively identify the diversity of global proteome signatures and the deviation from normal homeostasis in randomly selected human-isolated islet samples.
methodsBy using Tandem Mass Tag 16-plex proteomics, we focused on the recurrently observed disparity in the detected insulin abundance between the samples, used it as a segregating parameter, and analyzed the correlated changes in the proteome signature and homeostasis by pathway analysis.
resultsIn this pilot study, we showed that insulin protein abundance is a predictor of human islet homeostasis and quality. This parameter is independent of other quality predictors within their acceptable range, thus being able to further stratify islets samples of apparent good quality. Human islets with low amounts of insulin displayed changes in their metabolic and signaling profile, especially in regard to energy homeostasis and cell identity maintenance. We further showed that xenotransplantation into diabetic hosts is not expected to improve the pre-transplantation signature, as it has a negative effect on energy balance, antioxidant activity, and islet cell identity.
conclusionsInsulin protein abundance predicts significant changes in human islet homeostasis among random samples of apparently good quality.
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