Go to The Journal of Clinical Investigation
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
  • Physician-Scientist Development
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Immunology
    • Metabolism
    • Nephrology
    • Oncology
    • Pulmonology
    • All ...
  • Videos
  • Collections
    • In-Press Preview
    • Resource and Technical Advances
    • Clinical Research and Public Health
    • Research Letters
    • Editorials
    • Perspectives
    • Physician-Scientist Development
    • Reviews
    • Top read articles

  • Current issue
  • Past issues
  • Specialties
  • In-Press Preview
  • Resource and Technical Advances
  • Clinical Research and Public Health
  • Research Letters
  • Editorials
  • Perspectives
  • Physician-Scientist Development
  • Reviews
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
Dynamic transition of Tregs to cytotoxic phenotype amid systemic inflammation in Graves’ ophthalmopathy
Zhong Liu, … , Zhen Mao, Xian-Chai Lin
Zhong Liu, … , Zhen Mao, Xian-Chai Lin
Published October 4, 2024
Citation Information: JCI Insight. 2024;9(22):e181488. https://doi.org/10.1172/jci.insight.181488.
View: Text | PDF
Research Article Genetics

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

  • Text
  • PDF
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

×

Figure 2

The dynamic transcriptional characteristics of T cell subpopulations during the progression of GO.

Options: View larger image (or click on image) Download as PowerPoint
The dynamic transcriptional characteristics of T cell subpopulations dur...
(A) Major T cell subtypes in the scRNA-Seq dataset. (B and C) All subtypes of CD4 T (B) and CD8 T cells (C) in both scRNA-Seq and scATAC-Seq datasets. (D and E) The relative abundance of clonotypes and distribution of the GO top 10 unique clonotype among CD4 T cell subtype (D) and CD8 T cell subtype (E). (F) The expression levels for the cytotoxicity functional genes in CD4 CTL. Data are represented as the median IQR. ****Padj < 0.00001 by Mann-Whitney U test. (G) Chromatin accessibility peak of GZMB and FGFBP2 in CD4 CTL. (H) qPCR showed the gene expression levels of GZMB, FGFBP2, CTSW, and PRF1 in CD4 CTL (Healthy, n = 6; GO, n = 6). Data are represented as the median IQR. **P < 0.001 by Mann-Whitney U test. (I and J) The scores of exhaustion score (I) and aTreg functional gene score (J) in aTreg; heatmap displayed the expression levels of representative functional genes. Data are represented as the median IQR. ****Padj < 0.00001 by Mann-Whitney U test. (K) The expression levels of the top 10 GO-specific TRAV and TRBV genes in aTreg. (L and M) The expression of TGF-β1 (L) and CTLA4 (M) from 3 groups; dot plots indicate the mean expression intensity and target cell proportions (Healthy, n = 9; GH, n = 9; GO, n = 9). Data are represented as the median IQR. ***Padj < 0.0001 by Mann-Whitney U test. *Padj < 0.05, **Padj < 0.001. (N–P) The proliferation (N), inhibition (O) and IFN-γ (P) production of CD8+ T cells co-cultured with Treg (Healthy, n = 5; GH, n = 5; GO, n = 5). Data are represented as the median IQR. *Padj < 0.05 by Mann-Whitney U test. The experiments were repeated 3 times.

Copyright © 2025 American Society for Clinical Investigation
ISSN 2379-3708

Sign up for email alerts