Search

The maintenance of optimal glucose levels in the body requires a healthy reserve of the insulin producing pancreatic beta-cells. Depletion of this reserve due to beta-cell dysfunction and death results in development of diabetes. Recent findings highlight unresolved DNA damage as a key contributor to beta-cell defects in diabetes. Beta-cells face various stressors and metabolic challenges throughout life, rendering them susceptible to DNA breaks. The post-mitotic, long-lived phenotype of mature beta-cells further warrants robust maintenance of genomic integrity. Failure to resolve DNA damage during beta-cell development, therefore, can result in an unhealthy reserve of beta-cells and predispose to diabetes. Yet, the molecular mechanisms safeguarding beta-cell genomic integrity remain poorly understood. Here, we focus on the significance of DNA damage in betacell homeostasis and postulate how cellular expansion, epigenetic programming, and metabolic shifts during development may impact beta-cell genomic integrity and health. We discuss recent findings demonstrating a physiological role for DNA breaks in modulating transcriptional control in neurons, which share many developmental programs with beta-cells. Finally, we highlight key gaps in our understanding of beta-cell genomic integrity and discuss emerging areas of interest. [ABSTRACT FROM AUTHOR]

Aims/hypothesis: Beta cells within the pancreatic islet represent a heterogenous population wherein individual sub-groups of cells make distinct contributions to the overall control of insulin secretion. These include a subpopulation of highly-connected 'hub' cells, important for the propagation of intercellular Ca 2+ waves. Functional subpopulations have also been demonstrated in human beta cells, with an altered subtype distribution apparent in type 2 diabetes. At present, the molecular mechanisms through which beta cell hierarchy is established are poorly understood. Changes at the level of the epigenome provide one such possibility which we explore here by focussing on the imprinted gene neuronatin ( Nnat ), which is required for normal insulin synthesis and secretion., Methods: Single cell RNA-seq datasets were examined using Seurat 4.0 and ClusterProfiler running under R. Transgenic mice expressing eGFP under the control of the Nnat enhancer/promoter regions were generated for fluorescence-activated cell (FAC) sorting of beta cells and downstream analysis of CpG methylation by bisulphite and RNA sequencing, respectively. Animals deleted for the de novo methyltransferase, DNMT3A from the pancreatic progenitor stage were used to explore control of promoter methylation. Proteomics was performed using affinity purification mass spectrometry and Ca 2+ dynamics explored by rapid confocal imaging of Cal-520 and Cal-590. Insulin secretion was measured using Homogeneous Time Resolved Fluorescence Imaging., Results: Nnat mRNA was differentially expressed in a discrete beta cell population in a developmental stage- and DNA methylation (DNMT3A)-dependent manner. Thus, pseudo-time analysis of embryonic data sets demonstrated the early establishment of Nnat -positive and negative subpopulations during embryogenesis. NNAT expression is also restricted to a subset of beta cells across the human islet that is maintained throughout adult life. NNAT + beta cells also displayed a discrete transcriptome at adult stages, representing a sub-population specialised for insulin production, reminiscent of recently-described "β HI " cells and were diminished in db/db mice. 'Hub' cells were less abundant in the NNAT + population, consistent with epigenetic control of this functional specialization., Conclusions/interpretation: These findings demonstrate that differential DNA methylation at Nnat represents a novel means through which beta cell heterogeneity is established during development. We therefore hypothesise that changes in methylation at this locus may thus contribute to a loss of beta cell hierarchy and connectivity, potentially contributing to defective insulin secretion in some forms of diabetes.