Global proteomics reveals insulin abundance as a marker of human islet homeostasis alterations

Aim: The 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.Methods: By 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.Results: In 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.Conclusions: Insulin protein abundance predicts significant changes in human islet homeostasis among random samples of apparently good quality.

Automated summary

The variation in quality between human islet samples is a major problem for research, especially as control material. The assays used to assess the quality of human islets in research are not standardized or comprehensive enough. In this study, using proteomics, we identified the diversity of protein signatures and deviations from normal homeostasis in human-isolated islet samples, with a focus on insulin abundance as a predictor of islet homeostasis and quality.