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A human STAT3 gain-of-function variant confers T cell dysregulation without predominant Treg dysfunction in mice
Erica G. Schmitt, Kelsey A. Toth, Samuel I. Risma, Ana Kolicheski, Nermina Saucier, Rafael J. Feliciano Berríos, Zev J. Greenberg, Jennifer W. Leiding, Jack J. Bleesing, Akaluck Thatayatikom, Laura G. Schuettpelz, John R. Edwards, Tiphanie P. Vogel, Megan A. Cooper
Erica G. Schmitt, Kelsey A. Toth, Samuel I. Risma, Ana Kolicheski, Nermina Saucier, Rafael J. Feliciano Berríos, Zev J. Greenberg, Jennifer W. Leiding, Jack J. Bleesing, Akaluck Thatayatikom, Laura G. Schuettpelz, John R. Edwards, Tiphanie P. Vogel, Megan A. Cooper
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Research Article Immunology

A human STAT3 gain-of-function variant confers T cell dysregulation without predominant Treg dysfunction in mice

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Abstract

Primary immune regulatory disorders (PIRD) represent a group of disorders characterized by immune dysregulation, presenting with a wide range of clinical disease, including autoimmunity, autoinflammation, or lymphoproliferation. Autosomal dominant germline gain-of-function (GOF) variants in STAT3 result in a PIRD with a broad clinical spectrum. Studies in patients have documented a decreased frequency of FOXP3+ Tregs and an increased frequency of Th17 cells in some patients with active disease. However, the mechanisms of disease pathogenesis in STAT3 GOF syndrome remain largely unknown, and treatment is challenging. We developed a knock-in mouse model harboring a de novo pathogenic human STAT3 variant (p.G421R) and found these mice developed T cell dysregulation, lymphoproliferation, and CD4+ Th1 cell skewing. Surprisingly, Treg numbers, phenotype, and function remained largely intact; however, mice had a selective deficiency in the generation of iTregs. In parallel, we performed single-cell RNA-Seq on T cells from STAT3 GOF patients. We demonstrate only minor changes in the Treg transcriptional signature and an expanded, effector CD8+ T cell population. Together, these findings suggest that Tregs are not the primary driver of disease and highlight the importance of preclinical models in the study of disease mechanisms in rare PIRD.

Authors

Erica G. Schmitt, Kelsey A. Toth, Samuel I. Risma, Ana Kolicheski, Nermina Saucier, Rafael J. Feliciano Berríos, Zev J. Greenberg, Jennifer W. Leiding, Jack J. Bleesing, Akaluck Thatayatikom, Laura G. Schuettpelz, John R. Edwards, Tiphanie P. Vogel, Megan A. Cooper

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Figure 7

STAT3 GOF syndrome T cell single-cell RNA-Seq.

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STAT3 GOF syndrome T cell single-cell RNA-Seq.
Control and patient T cel...
Control and patient T cells were isolated from PBMCs by CD3 negative selection; they were then incubated in media alone (no stimulation) or with anti-CD3/CD28 stimulation for 16 hours before submitting for single-cell RNA-Seq analysis. (A and B) Unsupervised dimensionality reduction analysis of single-cell RNA-Seq transcriptome data from STAT3 GOF and healthy controls showing sample identity (A) and unique clusters (B). (C) Cluster composition as defined by sample identity. (D and E) Identification of cells using Azimuth cell prediction program with t-distributed stochastic neighbor embedding (t-SNE) plot showing T cells split based on the affected status (D) or by stimulation status (E). (F) Volcano plot showing differential expression (adjusted P < 0.05, average log2 fold change > 0.25 or < –0.25) in cells identified as Tregs, comparing cells from unstimulated (left) or stimulated conditions (right). (G) Heatmap showing the average log2 fold change of differentially expressed genes found in the Treg signature gene list for control and STAT3 GOF Tregs.

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