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Dynamic transition of Tregs to cytotoxic phenotype amid systemic inflammation in Graves’ ophthalmopathy
Zhong Liu, Shu-Rui Ke, Zhuo-Xing Shi, Ming Zhou, Li Sun, Qi-Hang Sun, Bing Xiao, Dong-Liang Wang, Yan-Jin Huang, Jin-Shan Lin, Hui-Shi Wang, Qi-Kai Zhang, Cai-Neng Pan, Xuan-Wei Liang, Rong-Xin Chen, Zhen Mao, Xian-Chai Lin
Zhong Liu, Shu-Rui Ke, Zhuo-Xing Shi, Ming Zhou, Li Sun, Qi-Hang Sun, Bing Xiao, Dong-Liang Wang, Yan-Jin Huang, Jin-Shan Lin, Hui-Shi Wang, Qi-Kai Zhang, Cai-Neng Pan, Xuan-Wei Liang, Rong-Xin Chen, Zhen Mao, Xian-Chai Lin
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Research Article Genetics

Dynamic transition of Tregs to cytotoxic phenotype amid systemic inflammation in Graves’ ophthalmopathy

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Abstract

Graves’ disease (GD) is an autoimmune condition that can progress to Graves’ ophthalmopathy (GO), leading to irreversible damage to orbital tissues and potential blindness. The pathogenic mechanism is not fully understood. In this study, we conducted single-cell multi-omics analyses on healthy individuals, patients with GD without GO, newly diagnosed patients with GO, and treated patients with GO. Our findings revealed gradual systemic inflammation during GO progression, marked by overactivation of cytotoxic effector T cell subsets, and expansion of specific T cell receptor clones. Importantly, we observed a decline in the immunosuppressive function of activated Treg (aTreg) accompanied by a cytotoxic phenotypic transition. In vitro experiments revealed that dysfunction and transition of GO-autoreactive Treg were regulated by the yin yang 1 (YY1) upon secondary stimulation of thyroid stimulating hormone receptor (TSHR) under inflammatory conditions. Furthermore, adoptive transfer experiments of the GO mouse model confirmed infiltration of these cytotoxic Treg into the orbital lesion tissues. Notably, these cells were found to upregulate inflammation and promote pathogenic fibrosis of orbital fibroblasts (OFs). Our results reveal the dynamic changes in immune landscape during GO progression and provide direct insights into the instability and phenotypic transition of Treg, offering potential targets for therapeutic intervention and prevention of autoimmune diseases.

Authors

Zhong Liu, Shu-Rui Ke, Zhuo-Xing Shi, Ming Zhou, Li Sun, Qi-Hang Sun, Bing Xiao, Dong-Liang Wang, Yan-Jin Huang, Jin-Shan Lin, Hui-Shi Wang, Qi-Kai Zhang, Cai-Neng Pan, Xuan-Wei Liang, Rong-Xin Chen, Zhen Mao, Xian-Chai Lin

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Figure 3

aTreg acquired CTL transcriptional signature under the high-inflammatory conditions of GO.

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aTreg acquired CTL transcriptional signature under the high-inflammatory...
(A) Pseudotime analysis of CD4 T cell subpopulations. (B) Dendrogram of CD4 CTL hdWGCNA and representative genes for each module. (C) UMAP plot showed the expression of different module genes in CD4 T cell subpopulations. (D) The expression of module 3 genes in CD4 T cell subpopulations. (E) The expression differences of module 3 genes in Tfh and aTreg between GH and GO groups. Data are represented as the median IQR. ***P < 0.0001 by Mann-Whitney U test. (F) Pseudotime analysis of aTreg, rTreg, and CD4 CTL. Left: Pie chart displayed the proportions of cells in different states over time for Healthy, GH, and GO groups. Right: Distribution of cells in different states along the branching trajectory over time. (G) The scores of CD4 CTL transcriptional feature gene set in aTreg from Healthy, GH, and GO groups; heatmap displayed the expression levels of representative CD4 CTL functional genes in aTreg from 3 groups. Data are represented as the median IQR. ****Padj < 0.00001 by Mann-Whitney U test. (H) Chromatin accessibility plots of KLRC1 and KLRC4 genes in aTreg from 3 groups. (I) Upset plot of aTreg and CD4 effector T cell clonotype sharing. On left, total number of expanded clones for each subpopulation is displayed. On top, the total number of shared clones is displayed. Incidences of clone sharing between aTreg and CD4 CTL are highlighted. (J and K) The expression of KLRC1 (J) and FGFBP2 (K) in peripheral blood CD4+CD25+FOXP3+ Treg from 3 groups; dot plots indicate the target cell proportions (Healthy, n = 9; GH, n = 9; GO, n = 9). Data are represented as the median IQR. *Padj < 0.05, **Padj < 0.001, ***Padj < 0.0001 by Mann-Whitney U test.

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