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Peanut oral immunotherapy differentially suppresses clonally distinct subsets of T helper cells
Brinda Monian, Ang A. Tu, Bert Ruiter, Duncan M. Morgan, Patrick M. Petrossian, Neal P. Smith, Todd M. Gierahn, Julia H. Ginder, Wayne G. Shreffler, J. Christopher Love
Brinda Monian, Ang A. Tu, Bert Ruiter, Duncan M. Morgan, Patrick M. Petrossian, Neal P. Smith, Todd M. Gierahn, Julia H. Ginder, Wayne G. Shreffler, J. Christopher Love
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Research Article Immunology

Peanut oral immunotherapy differentially suppresses clonally distinct subsets of T helper cells

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Abstract

Food allergy affects an estimated 8% of children in the United States. Oral immunotherapy (OIT) is a recently approved treatment, with outcomes ranging from sustained tolerance to food allergens to no apparent benefit. The immunological underpinnings that influence clinical outcomes of OIT remain largely unresolved. Using single-cell RNA-Seq and paired T cell receptor α/β (TCRα/β) sequencing, we assessed the transcriptomes of CD154+ and CD137+ peanut-reactive T helper (Th) cells from 12 patients with peanut allergy longitudinally throughout OIT. We observed expanded populations of cells expressing Th1, Th2, and Th17 signatures that further separated into 6 clonally distinct subsets. Four of these subsets demonstrated a convergence of TCR sequences, suggesting antigen-driven T cell fates. Over the course of OIT, we observed suppression of Th2 and Th1 gene signatures in effector clonotypes but not T follicular helper–like (Tfh-like) clonotypes. Positive outcomes were associated with stronger suppression of Th2 signatures in Th2A-like cells, while treatment failure was associated with the expression of baseline inflammatory gene signatures that were present in Th1 and Th17 cell populations and unmodulated by OIT. These results demonstrate that differential clinical responses to OIT are associated with both preexisting characteristics of peanut-reactive CD4+ T cells and suppression of a subset of Th2 cells.

Authors

Brinda Monian, Ang A. Tu, Bert Ruiter, Duncan M. Morgan, Patrick M. Petrossian, Neal P. Smith, Todd M. Gierahn, Julia H. Ginder, Wayne G. Shreffler, J. Christopher Love

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Figure 6

Treg phenotypes are not significantly modulated by OIT.

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Treg phenotypes are not significantly modulated by OIT.
(A) Average expr...
(A) Average expression of Treg module (gene module 1), FOXP3, and IL10 by patient and time point within Treg clones. Each data point represents the mean expression of all Treg clones for a given patient at a given time point. (B) UMAP visualization of all Tregs (data from all patients at all time points), colored by cluster assignment and labeled by putative cluster identity. (C) Differentially expressed genes in each Treg cluster. Genes were selected using an ROC test and manual curation. Each row represents the scaled average gene expression in 1 patient. (D) Average expression of the Treg module (top), FOXP3 (middle), and IL10 (bottom) by patient and time point within clones of each Treg cluster, colored by clinical group. Adjusted P values were calculated by paired Wilcoxon rank sum test (A and D).

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ISSN: 0021-9738 (print), 1558-8238 (online)

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