This 2026 preprint (Texas A&M) applies NicheNet ligand-receptor-target modeling to prior scRNAseq data (GEO GSE236410) of CD31+/podoplanin+ renal cells from mouse A2HTN and SSHTN models versus controls, examining crosstalk among lymphatic endothelial cells (LECs), a novel multipotent "support cell" (SC) population, and myeloid immune cells (MICs)
Core findings: (1) At baseline, Tgfb1 is the most consistently active ligand across all three cell types, with LECs and MICs producing most active ligands while SCs show the highest target regulatory potential. (2) In HTN, LECs shift from homeostatic GO terms (22 significant) to growth/proliferation/vasculature terms (547 significant), whereas SCs shift from biosynthetic terms (3) to translation/ribosome terms (62) β a ~25-fold and ~20-fold enrichment respectively. (3) HTN-enriched targets corresponded to significantly altered DE genes (p<0.01)
Blue bars = upregulated in HTN (pro-angiogenic/pro-translational); dark red = downregulated homeostatic/anti-inflammatory targets. All reported p<0.0001 except S1pr1 (p=0.002). Data as reported
What would change this conclusion: functional validation β e.g., pharmacologic BMP or VEGFR blockade failing to alter Id1/Dll4 expression or renal lymphangiogenesis in these models β would falsify the central signaling-axis claims. Human kidney single-cell datasets could test conservation.
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