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Usage Information

The effect of low-dose IL-2 and Treg adoptive cell therapy in patients with type 1 diabetes
Shen Dong, … , Qizhi Tang, Jeffrey A. Bluestone
Shen Dong, … , Qizhi Tang, Jeffrey A. Bluestone
Published July 29, 2021
Citation Information: JCI Insight. 2021;6(18):e147474. https://doi.org/10.1172/jci.insight.147474.
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Clinical Medicine Clinical trials

The effect of low-dose IL-2 and Treg adoptive cell therapy in patients with type 1 diabetes

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Abstract

BACKGROUND A previous phase I study showed that the infusion of autologous Tregs expanded ex vivo into patients with recent-onset type 1 diabetes (T1D) had an excellent safety profile. However, the majority of the infused Tregs were undetectable in the peripheral blood 3 months postinfusion (Treg-T1D trial). Therefore, we conducted a phase I study (TILT trial) combining polyclonal Tregs and low-dose IL-2, shown to enhance Treg survival and expansion, and assessed the impact over time on Treg populations and other immune cells.METHODS Patients with T1D were treated with a single infusion of autologous polyclonal Tregs followed by one or two 5-day courses of recombinant human low-dose IL-2 (ld-IL-2). Flow cytometry, cytometry by time of flight, and 10x Genomics single-cell RNA-Seq were used to follow the distinct immune cell populations’ phenotypes over time.RESULTS Multiparametric analysis revealed that the combination therapy led to an increase in the number of infused and endogenous Tregs but also resulted in a substantial increase from baseline in a subset of activated NK, mucosal associated invariant T, and clonal CD8+ T cell populations.CONCLUSION These data support the hypothesis that ld-IL-2 expands exogenously administered Tregs but also can expand cytotoxic cells. These results have important implications for the use of a combination of ld-IL-2 and Tregs for the treatment of autoimmune diseases with preexisting active immunity.TRIAL REGISTRATION ClinicalTrials.gov NCT01210664 (Treg-T1D trial), NCT02772679 (TILT trial).FUNDING Sean N. Parker Autoimmune Research Laboratory Fund, National Center for Research Resources.

Authors

Shen Dong, Kamir J. Hiam-Galvez, Cody T. Mowery, Kevan C. Herold, Stephen E. Gitelman, Jonathan H. Esensten, Weihong Liu, Angela P. Lares, Ashley S. Leinbach, Michael Lee, Vinh Nguyen, Stanley J. Tamaki, Whitney Tamaki, Courtney M. Tamaki, Morvarid Mehdizadeh, Amy L. Putnam, Matthew H. Spitzer, Chun Jimmie Ye, Qizhi Tang, Jeffrey A. Bluestone

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Usage data is cumulative from August 2021 through August 2022.

Usage JCI PMC
Text version 10,687 1,004
PDF 1,710 320
Figure 975 43
Supplemental data 639 137
Citation downloads 170 0
Totals 14,181 1,504
Total Views 15,685

Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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