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5’tRNA-derived fragments modulate -cell homeostasis and islet macrophage activation in type 2 diabetes [RNAseq_BMDM]

GSE302527 Mus musculus Expression profiling by high throughput sequencing 6 samples Submitted 2026/03/12 Platform GPL24247
Summary
During obesity and type 2 diabetes, pancreatic β-cells face chronic environmental stress, while islet-resident macrophages (iMACs) undergo metabolic reprogramming that exacerbates β-cell dysfunction. Stress-induced cleavage of transfer RNAs (tRNAs) generates tRNA-derived fragments (tRFs), whose role in this context is not fully understood. We identify elevated levels of 5’tRFGlu(CTC) and 5’tRFGly(GCC) in β-cells and iMACs from db/db mice and in islets from type 2 diabetic (T2D) patients. Notably, 5’tRFGlu(CTC) is also induced under prediabetic conditions and inversely correlates with insulin secretion. Lipotoxic stress triggers their production via Angiogenin-mediated cleavage. Blocking 5’tRFGlu(CTC) in islets protects against β-cell apoptosis and restores insulin secretion under palmitate stress. Using a β-cell/macrophage co-culture system, we show that β-cell contact shapes a unique macrophage phenotype (iMAC-like) that shifts upon palmitate exposure—recapitulating in vivo observations. Inhibiting 5’tRFGlu(CTC) in iMAC-like cells prevents this activation switch, reduces β-cell stress, and improves insulin secretion. Mechanistically, 5’tRFGlu(CTC) interacts with RNA-binding proteins to regulate transcriptional and post-transcriptional pathways linked to immune activation, ECM remodeling, neurogenesis, and oxidative stress. Our study identifies 5’tRFs as key mediators of islet microenvironment remodeling in diabetes, offering new insights into intercellular stress signaling in metabolic disease.
Published in
5'tRNA-derived fragments modulate β-cell homeostasis and islet macrophage activation in type 2 diabetes
Cosentino C, Klein R, Menoud V et al. · Nature communications 2026 · PMID 42082525 · doi:10.1038/s41467-026-72641-z
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Also filed as BioProject PRJNA1291142 and SRA study SRP601123. Searching any of these in the dataset finder brings you back here.

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