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Spatial Multiomics Reveals Metabolic Reprogramming and Calcification Characteristics of Diabetic Macroangiopathy [scRNA-Seq]

GSE248609 Homo sapiens Expression profiling by high throughput sequencing 6 samples Submitted 2024/10/16 Platform GPL24676
Summary
BACKGROUND: The diabetic macroangiopathy includes coronary heart disease, cerebrovascular disease and peripheral artery disease. Diabetic macroangiopathy is the main cause of death in diabetic patients. The exact pathogenesis of diabetic macroangiopathy is still not completely clear. METHODS: Single-cell transcriptome, spatial transcriptome, and spatial metabolome sequencing were performed on specimens of the anterior tibial artery from 11 amputated patients for visualization and data analysis through bioinformatics. RESULTS: This study reveals the gene-metabolic network in metabolic reprogramming and calcification characteristics in diabetic macrovasculature. Tissue specificity was found in some metabolic pathways. Alpha-linolenic acid metabolism and linoleic acid metabolism were characteristically enriched in the arteriae externa, and folate biosynthesis was characteristically expressed in calcification region. O-glycan biosynthesis, and primary bile acid biosynthesis are enriched in plaques. The calcification area mainly expresses COL1A2 COL6A2 FN1, MIF, SPP1, TNC as ligands to adjust and control media and plaque. The presence of nuclear enrichment related lesion changes around calcification resulted in activation of chemokine function, erk1/2 function and phenylalanine pathway. CONCLUSIONS: This study is the first to construct a spatial gene-metabolic map of complete blood vessels, which provides a basis for the subsequent exploration of the mechanism and clinical transformation of diabetic macrovascular disease.
Published in
Spatial multiomics atlas reveals smooth muscle phenotypic transformation and metabolic reprogramming in diabetic macroangiopathy
Qian Y, Xiong S, Li L et al. · Cardiovascular diabetology 2024 · PMID 39395983 · doi:10.1186/s12933-024-02458-x
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Also filed as BioProject PRJNA1045032 and SRA study SRP474150. Searching any of these in the dataset finder brings you back here.

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