EconPapers    
Economics at your fingertips  
 

TGF-β-mediated crosstalk between TIGIT+ Tregs and CD226+CD8+ T cells in the progression and remission of type 1 diabetes

Ting Zhong, Xinyu Li, Kang Lei, Rong Tang, Qiaolin Deng, Paul E Love, Zhiguang Zhou (), Bin Zhao () and Xia Li ()
Additional contact information
Ting Zhong: The Second Xiangya Hospital of Central South University
Xinyu Li: The Second Xiangya Hospital of Central South University
Kang Lei: The Second Xiangya Hospital of Central South University
Rong Tang: The Second Xiangya Hospital of Central South University
Qiaolin Deng: Karolinska Institute
Paul E Love: National Institutes of Health
Zhiguang Zhou: The Second Xiangya Hospital of Central South University
Bin Zhao: The Second Xiangya Hospital of Central South University
Xia Li: The Second Xiangya Hospital of Central South University

Nature Communications, 2024, vol. 15, issue 1, 1-18

Abstract: Abstract Type 1 diabetes (T1D) is a chronic autoimmune condition characterized by hyperglycemia resulting from the destruction of insulin-producing β-cells that is traditionally deemed irreversible, but partial remission (PR) with temporary reversal of hyperglycemia is sometimes observed. Here we use single-cell RNA sequencing to delineate the immune cell landscape across patients in different T1D stages. Together with cohort validation and functional assays, we observe dynamic changes in TIGIT+CCR7− Tregs and CD226+CCR7−CD8+ cytotoxic T cells during the peri-remission phase. Machine learning algorithms further identify TIGIT+CCR7− Tregs and CD226+CD8+ T cells as biomarkers for β-cell function decline in a predictive model, while cell communication analysis and in vitro assays suggest that TIGIT+CCR7− Tregs may inhibit CD226+CCR7−CD8+ T cells via TGF-β signaling. Lastly, in both cyclophosphamide-induced and streptozotocin (STZ)-induced mouse diabetes models, CD226 inhibition postpones insulitis onset and reduces hyperglycemia severity. Our results thus identify two interrelated immune cell subsets that may serve as biomarkers for monitoring disease progression and targets for therapeutic intervention of T1D.

Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-024-53264-8 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-53264-8

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-024-53264-8

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-19
Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-53264-8