©The Author(s) 2025.
World J Diabetes. Sep 15, 2025; 16(9): 107663
Published online Sep 15, 2025. doi: 10.4239/wjd.v16.i9.107663
Published online Sep 15, 2025. doi: 10.4239/wjd.v16.i9.107663
Figure 2 Applications of spatial transcriptomics in diabetic kidney disease.
Spatial transcriptomics (ST) has been applied to diabetic kidney disease to investigate a range of spatially resolved pathological features. The representative examples include the analysis of cell-cell interactions within the renal microenvironment, the identification of region-specific gene expression signatures, and the characterization of immune infiltration in glomerular lesions-particularly involving M2 macrophages and mast cells. In addition, ST enables the detection of localized molecular alterations, such as lipid accumulation and mitochondrial damage in tubular epithelial cells, as well as spatial variation in signaling activity, including alterations in the phosphoinositol-3 kinase pathway. DKD: Diabetic kidney disease.
- Citation: Liu DD, Hu HY, Li FF, Hu QY, Liu MW, Hao YJ, Li B. Spatial transcriptomics meets diabetic kidney disease: Illuminating the path to precision medicine. World J Diabetes 2025; 16(9): 107663
- URL: https://www.wjgnet.com/1948-9358/full/v16/i9/107663.htm
- DOI: https://dx.doi.org/10.4239/wjd.v16.i9.107663