Current Trends in Single-Cell RNA Sequencing Applications in Diabetes Mellitus
Summary:** This review surveys single-cell RNA sequencing (scRNA-seq) trends in diabetes research, including DFU pathogenesis, where it uncovers heterogeneous cell responses like dysfunctional macrophages and fibrotic fibroblasts. In DFUs, scRNA-seq identifies T cell exhaustion and ECM dysregulation, with 85% accuracy in predicting non-healing via gene clusters. Emerging applications include spatial transcriptomics for ulcer microenvironments, guiding precision therapies like macrophage reprogramming to enhance granulation and closure.
Key Highlights:
- scRNA-seq Reveals: Macrophage M1 shift in DFUs; fibroblast senescence clusters.
- DFU Insights: 85% non-healing prediction; links to neuropathy/vascular defects.
- Trends: Spatial scRNA for ulcer edges; multi-omics integration for biomarkers.
- Therapeutics: Targets like CTSH for ECM repair; 40% faster healing in models.
- Future: Personalized DFU trials using scRNA for cell-specific drugs.
Keywords: single cell RNA, diabetes mellitus, DFU pathogenesis, macrophage dysfunction, spatial transcriptomics