<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Engesser J</submitter><funding>Deutsche Forschungsgemeinschaft</funding><funding>Deutsche Forschungsgemeinschaft (German Research Foundation)</funding><pagination>8220</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11413367</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>15(1)</volume><pubmed_abstract>Antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis is a life-threatening autoimmune disease that often results in kidney failure caused by crescentic glomerulonephritis (GN). To date, treatment of most patients with ANCA-GN relies on non-specific immunosuppressive agents, which may have serious adverse effects and be only partially effective. Here, using spatial and single-cell transcriptome analysis, we characterize inflammatory niches in kidney samples from 34 patients with ANCA-GN and identify proinflammatory, cytokine-producing CD4&lt;sup>+&lt;/sup> and CD8&lt;sup>+&lt;/sup> T cells as a pathogenic signature. We then utilize these transcriptomic profiles for digital pharmacology and identify ustekinumab, a monoclonal antibody targeting IL-12 and IL-23, as the strongest therapeutic dr</pubmed_abstract><journal>Nature communications</journal><pubmed_title>Immune profiling-based targeting of pathogenic T cells with ustekinumab in ANCA-associated glomerulonephritis.</pubmed_title><pmcid>PMC11413367</pmcid><funding_grant_id>SFB1192</funding_grant_id><pubmed_authors>Riedel JH</pubmed_authors><pubmed_authors>Huber TB</pubmed_authors><pubmed_authors>Asada N</pubmed_authors><pubmed_authors>Peters A</pubmed_authors><pubmed_authors>Puelles VG</pubmed_authors><pubmed_authors>Kaffke A</pubmed_authors><pubmed_authors>Wiech T</pubmed_authors><pubmed_authors>Krebs CF</pubmed_authors><pubmed_authors>Schaub DP</pubmed_authors><pubmed_authors>Khatri R</pubmed_authors><pubmed_authors>Sivayoganathan V</pubmed_authors><pubmed_authors>Panzer U</pubmed_authors><pubmed_authors>Wenzel UO</pubmed_authors><pubmed_authors>Turner JE</pubmed_authors><pubmed_authors>Zhao Y</pubmed_authors><pubmed_authors>Goldbeck-Strieder T</pubmed_authors><pubmed_authors>Mittrucker HW</pubmed_authors><pubmed_authors>Bonn S</pubmed_authors><pubmed_authors>Sultana Z</pubmed_authors><pubmed_authors>Paust HJ</pubmed_authors><pubmed_authors>Steinmetz OM</pubmed_authors><pubmed_authors>Jauch-Speer SL</pubmed_authors><pubmed_authors>Hoxha E</pubmed_authors><pubmed_authors>Engesser J</pubmed_authors></additional><is_claimable>false</is_claimable><name>Immune profiling-based targeting of pathogenic T cells with ustekinumab in ANCA-associated glomerulonephritis.</name><description>Antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis is a life-threatening autoimmune disease that often results in kidney failure caused by crescentic glomerulonephritis (GN). To date, treatment of most patients with ANCA-GN relies on non-specific immunosuppressive agents, which may have serious adverse effects and be only partially effective. Here, using spatial and single-cell transcriptome analysis, we characterize inflammatory niches in kidney samples from 34 patients with ANCA-GN and identify proinflammatory, cytokine-producing CD4&lt;sup>+&lt;/sup> and CD8&lt;sup>+&lt;/sup> T cells as a pathogenic signature. We then utilize these transcriptomic profiles for digital pharmacology and identify ustekinumab, a monoclonal antibody targeting IL-12 and IL-23, as the strongest therapeutic dr</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Sep</publication><modification>2026-05-04T06:38:42.329Z</modification><creation>2025-04-04T08:21:48.951Z</creation></dates><accession>S-EPMC11413367</accession><cross_references><pubmed>39300109</pubmed><doi>10.1038/s41467-024-52525-w</doi></cross_references></HashMap>