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OP0264 (2025)
SPATIAL IMMUNE DIVERSITY IN LUPUS NEPHRITIS ACROSS KIDNEY ARCHITECTURE AND HISTOLOGICAL CLASSES
Keywords: -omics, Renal System, Imaging
E. Bettacchioli1,2, C. Le Dantec2, A. Meudec1,2, A. Bourhis1,2, P. Hémon2, M. Le Rochais1,2, A. A R2, M. Frutoso2, A. Uguen1,2, C. Hanrotel Saliou1, S. Jousse-Joulin1,2, N. JOURDE-CHICHE3,4, D. Cornec1,2, S. Hillion1,2
1CHU de Brest, Brest, France
2INSERM U1227 - B lymphocytes, Autoimmunity and Immunotherapies, Université de Brest, Brest, France
3AP-HM, Nephrology Department, Marseille, France
4C2VN, INSERM, INRAE, Aix-Marseille Université, Marseille, France

Background: Lupus nephritis (LN) is characterized by complex immune infiltration patterns within the renal microenvironment, with a high heterogeneity among patients.


Objectives: This study aims to spatially characterize immune infiltrates in LN, shedding lights into differences between histological classes and kidney areas such as glomeruli and tubules.


Methods: Immune cell distributions in 22 regions of interest (ROIs) from eight LN kidney biopsies (three class III, five class IV) were assessed using imaging mass cytometry. Furthermore, spatial transcriptomics analysis on two patients was performed to define key molecular pathways at play in LN.


Results: Supervised analysis revealed significantly greater immune cell infiltration in class IV compared to class III ROIs, with distinct immune cell distribution patterns across kidney compartments. Indeed, PMN and CD68+ macrophages (“M1-like”) were enriched in glomeruli, while T cells, B cells and CD163+ macrophages (“M2-like”) predominated in tubules, resulting in a higher M2/M1 ratio in tubules compared to glomeruli (Figure 1). Unsupervised analysis further revealed distinct immune niches, located within distinct renal compartments. Notably, dense and complex immune aggregates of B cells, T cells and myeloid cells were predominantly found in the distal tubules, whereas macrophages were found diffusely throughout all tissue areas, exhibiting various phenotypes according to each kidney location. Spatial transcriptomics finally revealed key-compartment specific pathways: (i) glomeruli exhibited a complex signature with both inflammatory and pro-fibrotic pathways such as IL4/IL13 and TGF-β pathways, (ii) proximal tubules displayed a strong and specific IL17 signature, and (iii) Loop of Henlé, distal and collecting tubules showed intra-tissular immunoglobulin production and fibrotic remodeling via FGFR pathway activation.


Conclusion: This spatially resolved analysis provides novel insights into the heterogeneity of the immune landscape in LN, uncovering distinct class- and compartment-specific immune cell distribution and molecular pathways (Figure 2). These findings offer valuable perspectives to guide future targeted therapeutic strategies.


Funding: This work was supported by an unrestricted grant from GlaxoSmithKline (GSK, study ID 217408).


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Comparison of immune infiltrates according to histological class and kidney area

A. Representative ROIs displaying tissular segmentation for glomeruli and tubulo-interstitial compartment. On the upper side, real ROIs are shown for patients. On the lower side, gating strategy is applied to display the main immune cells (T cells are shown by CD3 in red; B cells are shown by CD20 in green; M1 macrophages are shown by CD68 in lavender; M2 macrophages are shown by CD163 in yellow, and PMN and MPO+ Mac are shown by MPO in turquoise). On the left is one ROI from a class III patient, and on the right is displayed one ROI from a class IV patient. B. Circle plot showing repartition of immune cells according to LN class and renal area. C. Proportion of total immune cells and B cells according to LN class and renal area. D. Proportion of CD4+ T cells and CD8+ T cells according to LN class and renal area. E. Proportion of myeloid cells and M2/M1 ratio according to LN class and renal area.

Graphical abstract


Informed Consent: Informed consent was obtained from all patients included in the study.


Acknowledgements: We would like to thank all the staff of the LBAI and the pathology department of CHU of Brest for their help. We also thank all the members of the Hyperion platform (LBAI, Brest, France) for their assistance.


Disclosure of Interests: Eleonore Bettacchioli This work was supported by an unrestricted grant from GlaxoSmithKline (GSK, study ID 217408), Christelle Le Dantec: None declared, Amandine Meudec: None declared, Amelie Bourhis: None declared, Patrice Hémon: None declared, Marion Le Rochais: None declared, Akhiya A R: None declared, Marie Frutoso: None declared, Arnaud Uguen: None declared, Catherine Hanrotel Saliou: None declared, Sandrine Jousse-Joulin: None declared, Noemie JOURDE-CHICHE: None declared, Divi Cornec: None declared, Sophie Hillion: None declared.

© The Authors 2025. This abstract is an open access article published in Annals of Rheumatic Diseases under the CC BY-NC-ND license ( http://creativecommons.org/licenses/by-nc-nd/4.0/ ). Neither EULAR nor the publisher make any representation as to the accuracy of the content. The authors are solely responsible for the content in their abstract including accuracy of the facts, statements, results, conclusion, citing resources etc.


DOI: annrheumdis-2025-eular.A1778
Keywords: -omics, Renal System, Imaging
Citation: , volume 84, supplement 1, year 2025, page 217
Session: Basic Abstract Sessions: New ways of patient stratification with Systemic Diseases (Oral Presentations)