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Heterogeneity and clonality of kidney-infiltrating T cells in murine lupus nephritis
Shuchi Smita, … , Mark J. Shlomchik, Jeremy S. Tilstra
Shuchi Smita, … , Mark J. Shlomchik, Jeremy S. Tilstra
Published March 10, 2022
Citation Information: JCI Insight. 2022;7(8):e156048. https://doi.org/10.1172/jci.insight.156048.
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Research Article Immunology

Heterogeneity and clonality of kidney-infiltrating T cells in murine lupus nephritis

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Abstract

We previously found that kidney-infiltrating T cells (KITs) in murine lupus nephritis (LN) resembled dysfunctional T cells that infiltrate tumors. This unexpected finding raised the question of how to reconcile the “exhausted” phenotype of KITs with ongoing tissue destruction in LN. To address this, we performed single-cell RNA-Seq and TCR-Seq of KITs in murine lupus models. We found that CD8+ KITs existed first in a transitional state, before clonally expanding and evolving toward exhaustion. On the other hand, CD4+ KITs did not fit into current differentiation paradigms but included both hypoxic and cytotoxic subsets with a pervasive exhaustion signature. Thus, autoimmune nephritis is unlike acute pathogen immunity; rather, the kidney microenvironment suppresses T cells by progressively inducing exhausted states. Our findings suggest that LN, a chronic condition, results from slow evolution of damage caused by dysfunctional T cells and their precursors on the way to exhaustion. These findings have implications for both autoimmunity and tumor immunology.

Authors

Shuchi Smita, Maria Chikina, Mark J. Shlomchik, Jeremy S. Tilstra

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Figure 4

CD4+ KITs exhibit a progressive transcriptional phenotype from cytotoxicity to hypoxia/dysfunction through pseudotime.

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CD4+ KITs exhibit a progressive transcriptional phenotype from cytotoxic...
GSEA performed in each cell by Wilcoxon’s test (–log10 [P value]) using published reference genes signature (Supplemental Table 1) overlaid onto the UMAP from Figure 2A. (A) Hypoxia signature, exhaustion signature, and cytotoxic CD4 signature. (B) Dot plots show the distribution of exhaustion score in each CD4+ T cell, grouped by cluster number. Dots are colored according to the source of cells they represent. Statistics were calculated by Kruskal-Wallis rank test. (C) Monocle trajectory mapping of CD4+ KITs wherein time 0 (dark purple) represents lineage origination with progression to most differentiated (yellow), with cell source mapping. (D) Gene signature mapping for the indicated signatures as defined in A.

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