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1012 Deep peripheral blood immunophenotyping identifies a subgroup of lupus nephritis patients characterized by high type 1 interferon signaling, persistent activated immune cells and poor renal response to standard of care at 1 year
  1. Alice Horisberger1,2,
  2. Alec Griffith1,
  3. Arnon Arazi3,
  4. Joshua Keegan1,
  5. Kaitlyn Howard1,
  6. Takanori Sasaki1,
  7. Tusharkanti Ghosh4,
  8. Andrea Fava5,
  9. Rebecca Beuschel1,
  10. Jun Inamo6,
  11. John Pulford1,
  12. Ekaterina Murzin1,
  13. Brandon Hancock1,
  14. Katie Preisinger7,
  15. Maria Gutierrez-Arcelus8,
  16. Thomas M Eisenhaure9,
  17. Joel Guthridge10,
  18. Paul J Hoover1,9,
  19. Maria Dall’Era11,
  20. David Wofsy11,
  21. Diane L Kamen12,
  22. Kenneth C Kalunian13,
  23. Richard Furie3,
  24. Michael Belmont7,
  25. Peter Izmirly7,
  26. Robert Clancy7,
  27. David Hildeman14,
  28. Steve Woodle14,
  29. William Apruzzese1,
  30. Maureen A McMahon15,
  31. Jennifer Grossman15,
  32. Jennifer L Barnas16,
  33. Fernanda Payan-Schober17,
  34. Mariko Ishimori18,
  35. Michael Weisman18,
  36. Matthias Kretzler19,
  37. Celine C Berthier19,
  38. Jeffrey Hodgin19,
  39. Chaim Putterman20,
  40. Nir Hacohen9,
  41. Michael B Brenner1,
  42. Jennifer H Anolik16,
  43. Anne Davidson3,
  44. Judith A James10,
  45. Soumya Raychaudhuri1,
  46. Michelle A Petri5,
  47. Jill P Buyon7,
  48. Betty Diamond3,
  49. the Accelerating Medicines Partnership (AMP) RA/SLE Network,
  50. Fan Zhang1,6,
  51. James A Lederer1 and
  52. Deepak A Rao1
  1. 1Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
  2. 2Lausanne University Hospital, University of Lausanne, Switzerland
  3. 3The Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA
  4. 4School of Public Health, University of Colorado, Anschutz Medical Campus, CO, USA
  5. 5Johns Hopkins University, Baltimore, MD, USA
  6. 6School of Medicine, University of Colorado, Anschutz Medical Campus, CO, USA
  7. 7New York University School of Medicine, New York, NY, USA
  8. 8Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
  9. 9Broad Institute of MIT and Harvard, Cambridge, MA, USA
  10. 10Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
  11. 11University of California San Francisco, San Francisco, CA, USA
  12. 12Medical University of South Carolina, Charleston, SC, USA
  13. 13University of California San Diego School of Medicine, La Jolla, CA, USA
  14. 14University of Cincinnati College of Medicine, Cincinnati, OH, USA
  15. 15University of California, Los Angeles, CA, USA
  16. 16University of Rochester Medical Center, Rochester, NY, USA
  17. 17Texas Tech University Health Sciences Center, El Paso, TX, USA
  18. 18Cedars-Sinai Medical Center, Los Angeles, CA, USA
  19. 19University of Michigan, Ann Arbor, MI, USA
  20. 20Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, NY, USA
  21. *Co-senior authors

Abstract

Background Lupus nephritis (LN) is a common and severe complication of systemic lupus erythematosus requiring renal biopsy to guide treatment decisions. Despite standard-of-care therapy, a third of patients with LN class III, IV, or V show a progressive decline in kidney function. Identifying distinct inflammatory processes associated with LN using non-invasive tools may improve treatment targeting.

Method We applied mass cytometry using four 48-marker panels to characterize peripheral blood mononuclear cells from 140 patients with active, biopsy-proven proliferative (class III or IV +/- V, n=98) or membranous (class V, n=42) nephritis and 40 healthy controls in the Accelerated Medicine Partnership RA/SLE Network Phase II study. Renal response was determined at 1 year (n=107), and longitudinal samples were collected (n=49).

Results By applying covarying neighborhood analysis, we observed a marked enrichment of cell neighborhoods that expressed type I interferon (IFN-I)-induced proteins, including MX1 (figure 1A) and Siglec1, reflecting a simple cytometric detection of an IFN-I signature. Specific immunophenotypic alterations, including activated and proliferating cells (Ki67hi) across immune cell types, such as plasmablasts (B8) and Tph (T11), were associated with IFN-I signaling (figure 1B). Amongst cells strongly associated with IFN-I, we identified a naive-like (CD45RA+CCR7+) CD4 T cell cluster (T12) expressing low levels of TCF1, suggesting early activation (figure 1C). We confirmed that IFN-I had an additive effect with TCR stimulation in decreasing TCF1 (TCF7 gene) expression in naive T cells using a recently published bulk RNAseq dataset1 (figure 2). Longitudinally, the cell subsets strongly associated with IFN-I, including T12, did not change in abundance over time independently from the renal outcome (longitudinal mixed effect model in complete responders p = 0.37, non-responder p = 0.62). As IFN-I signaling and the frequency of cell subsets varied across individuals, we stratified all samples using an unsupervised analysis based on 55 immune cell subsets. We identified 3 LN patient subgroups: the first group (G0) included all controls and 20% baseline LN patients; the two others (G1, G2) included only LN patients (46 patients each). G2 was associated with an increased proportion of GZMB+ T cells which were not correlated with IFN-I score (figure 1C). G1 displayed the highest cytometric IFN- I scores and was driven mainly by cells enriched with IFN-I-induced proteins, including T12 (figure 3A). Additionally, IFN-I cytometric score was strongly correlated with an IFN-I score in kidney leukocytes from paired samples (rho = 0.73, p < 0.001). Finally, after adjusting for a history of previous biopsy and immunosuppression at baseline, group G1 was significantly associated with non-response at 1 year (figure 3B).

Conclusion IFN-I signaling in LN patients is associated with persistent enrichment of altered and activated immune cells, despite immunosuppression. Patients with increased IFN-I signaling in the peripheral blood have increased IFN-I signaling in the kidney and represent a group with poor response to standard-of-care.

Reference

  1. Sumida T, et al. Type I interferon transcriptional network regulates expression of coinhibitory receptors in human T cells, Nature Immunology. 2022;23(4):632–42.

Abstract 1012 Figure 1

Identification of cells enriched in type I interferon (IFN-I) signaling in lupus nephritis (LN). A. UMAP representing covarying neighborhoods results comparing LN patients against controls; colored cells are in neighborhoods associated positively (red) or negatively (blue) with LN after passing FDR 5%. The highlighted cells and names are the results of the cell clustering. B. UMAP of marker expression. C. Correlation plot of all cell clusters identifying amongst T cells, B cells, Myeloid (M) cells, and NK cells and the type I interferon score (rectangles). The rows and columns are organized using hierarchical clustering. The lower triangle represents all Spearman’s rho coefficients, and the upper triangle shows only the correlations passing FDR 5%.

Abstract 1012 Figure 2

Decreased expression of TCF7 gene (= TCF1 protein) in naïve T cells after TCR stimulation (Th0) with or without interferon b (IFNb) over time. Data generated from Sumida et al.

Abstract 1012 Figure 3

Identification of 3 subgroups of samples based on blood immunophenotyping. A. PCA colored by subgroups defined by k-means (left) and disease condition (right). B. Results of covarying neighborhood analysis comparing lupus nephritis patients in one subgroup against the others at baseline. The colors represent the frequencies of cells passing FDR 5% for each cell cluster after adjusting for race, previous biopsy, and immunosuppression use. Cells in red are enriched in the subgroup mentioned, and in blue are decreased. C. Baseline likelihood of complete response (CR) versus non-response (NR) to treatment at 1 year.

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This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

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