Integrated urine proteomics and renal single-cell genomics identify an interferon-γ response gradient in lupus nephritis.

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Integrated urine proteomics and renal single-cell genomics identify an interferon-γ response gradient in lupus nephritis.

JCI Insight. 2020 May 12;:

Authors: Fava A, Buyon JP, Mohan C, Zhang T, Belmont HM, Izmirly P, Clancy R, Monroy Trujillo J, Fine DM, Zhang Y, Magder L, Rao DA, Arazi A, Berthier CC, Davidson A, Diamond B, Hacohen N, Wofsy D, Apruzzese W, Accelerating Medicines Partnership T, Raychaudhuri S, Petri M

Abstract
Lupus nephritis, one of the most serious manifestations of systemic lupus erythematosus (SLE), has both a heterogeneous clinical and pathological presentation. For example, proliferative nephritis identifies a more aggressive disease class that requires immunosuppression. However, the current classification system relies on the static appearance of histopathological morphology which does not capture differences in the inflammatory response. Therefore, a biomarker grounded in the disease biology is needed to understand the molecular heterogeneity of lupus nephritis and identify immunologic mechanism and pathways. Here, we analyzed the patterns of 1000 urine protein biomarkers in 30 patients with active lupus nephritis. We found that patients stratify over a chemokine gradient inducible by interferon-gamma. Higher values identified patients with proliferative lupus nephritis. After integrating the urine proteomics with the single-cell transcriptomics of kidney biopsies, it was observed that the urinary chemokines defining the gradient were predominantly produced by infiltrating CD8 T cells, along with natural killer and myeloid cells. The urine chemokine gradient significantly correlated with the number of kidney-infiltrating CD8 cells. These findings suggest that urine proteomics can capture the complex biology of the kidney in lupus nephritis. Patient-specific pathways may be noninvasively tracked in the urine in real time, enabling diagnosis and personalized treatment.

PMID: 32396533 [PubMed – as supplied by publisher]