Journal
NATURE METABOLISM
Volume 3, Issue 7, Pages 1017-+Publisher
NATURE PORTFOLIO
DOI: 10.1038/s42255-021-00420-9
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Researchers conducted a multidimensional analysis of pancreatic islets obtained from metabolically profiled living human donors who had undergone pancreatectomy, revealing significant heterogeneity in samples from individuals with type 2 diabetes. The findings challenge current hypotheses of linear beta-cell dedifferentiation in diabetes and suggest a progressive, but disharmonic, remodelling of mature beta cells. Integration of islet transcriptomics with preoperative blood plasma lipidomics also identified potential prognostic markers associated with HbA1c levels.
Wigger, Barovic and Brunner et al. perform a multidimensional analysis of islets from metabolically characterized patients who had undergone pancreatectomy, observing remarkable heterogeneity between samples from individuals with type 2 diabetes, thus arguing against models of linear beta-cell dedifferentiation in diabetes. Most research on human pancreatic islets is conducted on samples obtained from normoglycaemic or diseased brain-dead donors and thus cannot accurately describe the molecular changes of pancreatic islet beta cells as they progress towards a state of deficient insulin secretion in type 2 diabetes (T2D). Here, we conduct a comprehensive multi-omics analysis of pancreatic islets obtained from metabolically profiled pancreatectomized living human donors stratified along the glycemic continuum, from normoglycemia to T2D. We find that islet pools isolated from surgical samples by laser-capture microdissection display remarkably more heterogeneous transcriptomic and proteomic profiles in patients with diabetes than in non-diabetic controls. The differential regulation of islet gene expression is already observed in prediabetic individuals with impaired glucose tolerance. Our findings demonstrate a progressive, but disharmonic, remodelling of mature beta cells, challenging current hypotheses of linear trajectories toward precursor or transdifferentiation stages in T2D. Furthermore, through integration of islet transcriptomics with preoperative blood plasma lipidomics, we define the relative importance of gene coexpression modules and lipids that are positively or negatively associated with HbA1c levels, pointing to potential prognostic markers.
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