Collections / Spatio-temporal interaction of immune and renal cells determines glomerular crescent formation in autoimmune kidney disease

Spatio-temporal interaction of immune and renal cells determines glomerular crescent formation in autoimmune kidney disease

Rapidly progressive glomerulonephritis (RPGN) is the most aggressive group of autoimmune kidney disease with the worst prognosis. Anti-neutrophil cytoplasmic antibody (ANCA) associated vasculitis, anti-glomerular basement membrane (anti-GBM) and lupus nephritis are the most common causes of RPGN and are characterized by the formation of glomerular crescents and infiltration of leukocytes that eventually lead to glomerulosclerosis and kidney failure. In this work, we used high-resolution spatial transcriptomics of 32 ANCA, 19 lupus nephritis, 6 anti-GBM, and 6 control patients to understand how intercellular signaling between immune and renal tissue cells leads to renal inflammation and glomerular injury. Using 3,218,210 immune and kidney cells, we observed that the biological pathways involved in the sequence of glomerular crescent formation are similar across the diseases. While innate immune cells infiltrated the glomerular compartment relatively early, later increases in adaptive immune cells were largely restricted to the periglomerular regions. These changes in immune cells temporally correlated with increases in glomerular parietal epithelial (PEC) and fibrotic mesangial cells, suggesting disease-relevant functional signaling between these immune and renal cells. Cell communication analysis revealed early disease PDGF signaling from epithelial and mesangial cells to PECs, causing their activation and proliferation. At later stages, TGF-β signaling from macrophages, T cells, epithelial cells, and mesangial cells to PECs triggered the expression of extracellular matrix components resulting in glomerulosclerosis. Our results highlight a spatio-temporally conserved progression into glomerular crescents and sclerosis for ANCA, lupus nephritis, and anti-GBM disease, which is driven by consecutive PDGF and TGF-β signaling to PECs.

Datasets9
Size~51 GB
Assay10x Xenium
Samplehuman · kidney
KindPublication
10.1038/s41467-025-59819-7 ↗
Python · lamindb
import lamindb as ln
import spatialdata as sd

coll = ln.Collection.get(key="geo-gse294965")
coll.ordered_artifacts.df()                 # the 9 members, ordered

# download every member .zarr to the local cache:
paths = [a.cache() for a in coll.ordered_artifacts.all()]

# …or load each straight into memory as a SpatialData object:
sdatas = {a.key: sd.read_zarr(a.cache()) for a in coll.ordered_artifacts.all()}

Type I interferon drives T cell cytotoxicity by upregulation of interferon regulatory factor 7 in autoimmune kidney diseases in mice.

In anti-neutrophil cytoplasmic antibody-associated vasculitis (AAV) and systemic lupus erythematosus (SLE), glomerulonephritis is a severe kidney complication driven by immune cells, including T cells. However, the mechanisms underlying T cell activation in these contexts remain elusive. Here we report that in patients with AAV and SLE, type I interferon (IFN-I) induces T cell differentiation into interferon-stimulated genes-expressing T (ISG-T) cells, which are characterized by an elevated IFN-I signature, an immature phenotype, and cytotoxicity in inflamed tissue. Mechanistically, IFN-I stimulates the expression of interferon regulatory factor 7 (IRF7) in T cells, which in turn induces granzyme B production. In mice, blocking IFN-I signaling reduces IRF7 and granzyme B expression in T cells, thus ameliorating glomerulonephritis. In parallel, spatial transcriptomic analyses of kidney biopsies from patients with AAV or SLE reveal an elevated ISG signature and the presence of ISG-T cells in close proximity to plasmacytoid dendritic cells, the primary producers of IFN-I. Our results from both patients and animal models thus suggest that IFN-I production in inflamed tissue may drive ISG-T cell differentiation to expand the pool of cytotoxic T cells in autoimmune diseases.

Open in Vitessce
10x Xenium
Human kidney
GSM8933095
human kidney 5.8 GB 307,653 obs bronze NCBI GEO policy
Technology10x Xenium
Organismhuman
Tissuekidney
Size5.8 GB
Obs307,653
bronze NCBI GEO policy Open in Vitessce
Open in Vitessce
10x Xenium
Human kidney
GSM8933087
human kidney 6.0 GB 435,381 obs bronze NCBI GEO policy
Technology10x Xenium
Organismhuman
Tissuekidney
Size6.0 GB
Obs435,381
bronze NCBI GEO policy Open in Vitessce
Open in Vitessce
10x Xenium
Human kidney
GSM8933089
human kidney 5.7 GB 351,827 obs bronze NCBI GEO policy
Technology10x Xenium
Organismhuman
Tissuekidney
Size5.7 GB
Obs351,827
bronze NCBI GEO policy Open in Vitessce
Open in Vitessce
10x Xenium
Human kidney
GSM8933088
human kidney 5.8 GB 412,356 obs bronze NCBI GEO policy
Technology10x Xenium
Organismhuman
Tissuekidney
Size5.8 GB
Obs412,356
bronze NCBI GEO policy Open in Vitessce
Open in Vitessce
10x Xenium
Human kidney
GSM8933094
human kidney 6.2 GB 481,717 obs bronze NCBI GEO policy
Technology10x Xenium
Organismhuman
Tissuekidney
Size6.2 GB
Obs481,717
bronze NCBI GEO policy Open in Vitessce
Open in Vitessce
10x Xenium
Human kidney
GSM8933090
human kidney 6.0 GB 441,503 obs bronze NCBI GEO policy
Technology10x Xenium
Organismhuman
Tissuekidney
Size6.0 GB
Obs441,503
bronze NCBI GEO policy Open in Vitessce
Open in Vitessce
10x Xenium
Human kidney
GSM8933093
human kidney 5.6 GB 317,414 obs bronze NCBI GEO policy
Technology10x Xenium
Organismhuman
Tissuekidney
Size5.6 GB
Obs317,414
bronze NCBI GEO policy Open in Vitessce
Open in Vitessce
10x Xenium
Human kidney
GSM8933092
human kidney 4.9 GB 334,451 obs bronze NCBI GEO policy
Technology10x Xenium
Organismhuman
Tissuekidney
Size4.9 GB
Obs334,451
bronze NCBI GEO policy Open in Vitessce
Open in Vitessce
10x Xenium
Human kidney
GSM8933091
human kidney 5.5 GB 339,498 obs bronze NCBI GEO policy
Technology10x Xenium
Organismhuman
Tissuekidney
Size5.5 GB
Obs339,498
bronze NCBI GEO policy Open in Vitessce

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