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The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.

The immune cell landscape in kidneys of patients with lupus nephritis

Open access
the Accelerating Medicines Partnership in SLE network, Arazi, Arnon, Rao, Deepak A., Berthier, Celine C., Davidson, Anne, Liu, Yanyan, Hoover, Paul J., Chicoine, Adam, Eisenhaure, Thomas M., Jonsson, A. Helena, Li, Shuqiang, Lieb, David J., Zhang, Fan, Slowikowski, Kamil, Browne, Edward P., Noma, Akiko, Sutherby, Danielle, Steelman, Scott, Smilek, Dawn E., Tosta, Patti, Apruzzese, William, Massarotti, Elena, Dall’Era, Maria, Park, Meyeon, Kamen, Diane L., Furie, Richard A., Payan-Schober, Fernanda, Pendergraft, William F., McInnis, Elizabeth A., Buyon, Jill P., Petri, Michelle A., Putterman, Chaim, Kalunian, Kenneth C., Woodle, E. Steve, Lederer, James A., Hildeman, David A., Nusbaum, Chad, Raychaudhuri, Soumya, Kretzler, Matthias, Anolik, Jennifer H., Brenner, Michael B., Wofsy, David, Hacohen, Nir, Diamond, Betty·2019·Nature Immunology

Abstract

Lupus nephritis is a potentially fatal autoimmune disease for which the current treatment is ineffective and often toxic. To develop mechanistic hypotheses of disease, we analyzed kidney samples from patients with lupus nephritis and from healthy control subjects using single-cell RNA sequencing. Our analysis revealed 21 subsets of leukocytes active in disease, including multiple populations of myeloid cells, T cells, natural killer cells and B cells that demonstrated both pro-inflammatory responses and inflammation-resolving responses. We found evidence of local activation of B cells correlated with an age-associated B-cell signature and evidence of progressive stages of monocyte differentiation within the kidney. A clear interferon response was observed in most cells. Two chemokine receptors, CXCR4 and CX3CR1, were broadly expressed, implying a potentially central role in cell trafficking. Gene expression of immune cells in urine and kidney was highly correlated, which would suggest that urine might serve as a surrogate for kidney biopsies. Much about the kidney-resident immune populations is a black box. Hacohen and colleagues use single cell RNA sequencing of kidney, skin and urine from lupus nephritis patients to describe the transcriptional state of the immune cells present in each compartment.

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Metadata

Authors
the Accelerating Medicines Partnership in SLE network, Arazi, A., Rao, D. A., Berthier, C. C., Davidson, A., Liu, Y., Hoover, P. J., Chicoine, A., Eisenhaure, T. M., Jonsson, A. H., Li, S., Lieb, D. J., Zhang, F., Slowikowski, K., Browne, E. P., Noma, A., Sutherby, D., Steelman, S., Smilek, D. E., Tosta, P., Apruzzese, W., Massarotti, E., Dall’Era, M., Park, M., Kamen, D. L., Furie, R. A., Payan-Schober, F., Pendergraft, W. F., McInnis, E. A., Buyon, J. P., Petri, M. A., Putterman, C., Kalunian, K. C., Woodle, E. S., Lederer, J. A., Hildeman, D. A., Nusbaum, C., Raychaudhuri, S., Kretzler, M., Anolik, J. H., Brenner, M. B., Wofsy, D., Hacohen, N., & Diamond, B.
Venue
Nature Immunology
Published
2019-06-17
Volume
20
Issue
7
Pages
902-914
ISSN
  • 1529-2908 (ISSN-L)
  • 1529-2916
OpenAlex
W2949631571
Cited by
827
References
14
FWCI
62.90
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The immune cell landscape in kidneys of patients with lupus nephritis. https://app.cochat.ai/papers/10.1038/s41590-019-0398-x
The paper
the Accelerating Medicines Partnership in SLE network, Arazi, A., Rao, D. A., Berthier, C. C., Davidson, A., Liu, Y., Hoover, P. J., Chicoine, A., Eisenhaure, T. M., Jonsson, A. H., Li, S., Lieb, D. J., Zhang, F., Slowikowski, K., Browne, E. P., Noma, A., Sutherby, D., Steelman, S., Smilek, D. E., . . . Diamond, B. (2019). The immune cell landscape in kidneys of patients with lupus nephritis. Nature Immunology. https://doi.org/10.1038/s41590-019-0398-x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.