Combined Treatment With TGF-β1, Retinoic Acid, and Lactoferrin Robustly Generate Inducible Tregs (iTregs) Against High Affinity Ligand.

IF 4.3 4区 医学 Q2 IMMUNOLOGY
Immune Network Pub Date : 2023-09-22 eCollection Date: 2023-10-01 DOI:10.4110/in.2023.23.e37
Young-Saeng Jang, Sun-Hee Park, Seung-Goo Kang, Jung-Shin Lee, Hyun-Jeong Ko, Pyeung-Hyeun Kim
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引用次数: 0

Abstract

Forkhead box P3-positive (Foxp3+)-inducible Tregs (iTregs) are readily generated by TGF-β1 at low TCR signaling intensity. TGF-β1-mediated Foxp3 expression is further enhanced by retinoic acid (RA) and lactoferrin (LF). However, the intensity of TCR signaling required for induction of Foxp3 expression by TGF-β1 in combination with RA and LF is unknown. Here, we found that either RA or LF alone decreased TGF-β1-mediated Foxp3 expression at low TCR signaling intensity. In contrast, at high TCR signaling intensity, the addition of either RA or LF strongly increased TGF-β1-mediated Foxp3 expression. Moreover, decreased CD28 stimulation was more favorable for TGF-β1/LF-mediated Foxp3 expression. Lastly, we found that at high signaling intensities of both TCR and CD28, combined treatment with TGF-β1, RA, and LF induced robust expression of Foxp3, in parallel with powerful suppressive activity against responder T cell proliferation. Our findings that TGFβ/RA/LF strongly generate high affinity Ag-specific iTreg population would be useful for the control of unwanted hypersensitive immune reactions such as various autoimmune diseases.

TGF-β1、视黄酸和乳铁蛋白联合治疗可产生抗高亲和力配体的诱导treg (iTregs)。
叉头盒p3阳性(Foxp3+)诱导treg (iTregs)是TGF-β1在低TCR信号强度下容易产生的。视黄酸(RA)和乳铁蛋白(LF)进一步增强TGF-β1介导的Foxp3表达。然而,TGF-β1联合RA和LF诱导Foxp3表达所需的TCR信号强度尚不清楚。本研究发现,在低TCR信号强度下,RA或LF均可降低TGF-β1介导的Foxp3表达。相反,在高TCR信号强度下,RA或LF的加入均强烈增加TGF-β1介导的Foxp3表达。此外,CD28刺激减少更有利于TGF-β1/ lf介导的Foxp3表达。最后,我们发现在TCR和CD28的高信号强度下,TGF-β1、RA和LF联合处理诱导Foxp3的稳健表达,同时对应答T细胞增殖具有强大的抑制活性。我们的研究发现TGFβ/RA/LF强烈产生高亲和力ag特异性iTreg群体,这将有助于控制不必要的过敏免疫反应,如各种自身免疫性疾病。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Immune Network
Immune Network Immunology and Microbiology-Immunology
CiteScore
2.90
自引率
3.30%
发文量
36
期刊介绍: Immune Network publishes novel findings in basic and clinical immunology and aims to provide a medium through which researchers in various fields of immunology can share and connect. The journal focuses on advances and insights into the regulation of the immune system and the immunological mechanisms of various diseases. Research that provides integrated insights into translational immunology is given preference for publication. All submissions are evaluated based on originality, quality, clarity, and brevity
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