A transcriptional patient map of systemic lupus erythematosus reveals disease-related multicellular immune programs conserved between blood and kidney
Systemic lupus erythematosus (SLE) shows marked clinical and molecular heterogeneity, yet patient stratification often relies on gene expression signatures lacking multicellular context. Here we construct a transcriptional patient map of SLE by analyzing 1,167 total samples (783 SLE, 384 healthy controls) across different resolutions, including single-cell and bulk blood as well as spatially resolved kidney tissue transcriptomes. Using an unsupervised approach we inferred patient-level transcriptomic immune programs from two independent single-cell RNA sequencing cohorts of peripheral blood mononuclear cells (PBMCs), capturing both differences between SLE and health as well as within-SLE heterogeneity. Specifically, we identified four conserved programs comprising two multicellular inflammatory programs driven by interferon and TNF/NFkB activity across immune cells, and two cell type-specific programs reflecting CD8 T cell cytotoxicity and a CD4 T cell naive-to-effector state. Functional analysis of these programs revealed a rewiring of both cell-to-cell interactions and task allocation across cell types during disease activation. In addition, mapping these programs onto an external longitudinal blood transcriptomic cohort predicted flare risk and identified candidate blood protein biomarkers detectable by proteomics. Finally, we showed that these blood programs were enriched in immune-infiltrated glomerular regions from kidney biopsies of individuals with lupus nephritis using spatially resolved transcriptomic data, thereby linking systemic immune programs to local tissue pathology.
Authors
- Ricardo Melo Ferreira (ORCID: https://orcid.org/0000-0003-2063-9744)
- Jovan Tanevski (ORCID: https://orcid.org/0000-0001-7177-1003)
- José Liñares-Blanco (ORCID: https://orcid.org/0000-0002-5454-1297)
- Michael T. Eadon (ORCID: https://orcid.org/0000-0003-3066-2876)
- Philipp Schäfer (ORCID: https://orcid.org/0009-0008-4403-8592)
- Leoni Zimmermann
- Daniel Toro-Domínguez
- Julio Saez-Rodriguez (ORCID: https://orcid.org/0000-0002-8552-8976)
- Marta E Alarcón Riquelme (ORCID: https://orcid.org/0000-0002-7632-4154)
- Pedro Carmona-Saez (ORCID: https://orcid.org/0000-0002-6173-7255)
- Ricardo O Ramirez Flores (ORCID: https://orcid.org/0000-0003-0087-371X)
Institutions
- Universidade da Coruña (ES)
- European Bioinformatics Institute (GB)
- Universidad de Granada (ES)
- Heidelberg University (DE)
- University Hospital Heidelberg (DE)
- Karolinska Institutet (SE)
- Bioinformatics Institute (RU)
- Pfizer-University of Granada-Junta de Andalucía Centre for Genomics and Oncological Research (ES)
- Indiana University School of Medicine
- Indiana University – Purdue University Indianapolis (US)
Publication Details
- Journal
- bioRxiv (Cold Spring Harbor Laboratory)
- Published
- 2026-05-01
- DOI
- https://doi.org/10.64898/2026.04.28.721379
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Carl-Zeiss-Stiftung
- Deutsche Forschungsgemeinschaft
- Vetenskapsrådet
- European Regional Development Fund
- Agencia Estatal de Investigación
- National Institute of Diabetes and Digestive and Kidney Diseases