Neuritin-specific antibody impedes the Treg-mediated suppression of anti-tumor immunity and enhances response to anti-PD1

Treg细胞 免疫学 免疫 抗体反应 体液免疫 抗体 医学 癌症研究 免疫系统 白细胞介素2受体 T细胞
作者
Kaimin Zhang,Tingcun Zhao,Faisal Riaz,Yikui Li,Ping Wei,Xiang Fang,Zhiyi Zhou,Wei Kou,Farooq Riaz
出处
期刊:Molecular Immunology [Elsevier BV]
卷期号:181: 148-159 被引量:1
标识
DOI:10.1016/j.molimm.2025.03.013
摘要

Regulatory T cells (Tregs) and effector T cells play critical roles in tumor immunity, with Tregs suppressing immune responses and contributing to an immunosuppressive tumor microenvironment (TME). Neuritin-1 (Nrn), a neuropeptide, has been identified to enhance Treg expansion. However, its role in T cell biology and tumor development remains unclear. We demonstrated that Nrn is highly expressed in the in-vitro-induced Tregs (iTregs). Functionally, Nrn promoted iTreg differentiation in a dose-dependent manner, while Nrn deletion or anti-Nrn antibody treatment significantly inhibited iTreg differentiation. Additionally, Nrn suppressed IL-2 transcription and secretion in T cells, impairing T cell activation and pro-inflammatory cytokine production. Treg-specific Nrn knockout mice exhibited reduced B16 melanoma tumor growth, decreased Treg infiltration, and increased effector T cell infiltration. Conversely, overexpression of Nrn accelerated B16 melanoma tumor progression by enhancing Treg-mediated suppression. Importantly, we developed the first anti-Nrn antibody, which effectively reduced tumour growth, decreased Treg infiltration, and enhanced effector T-cell activity. Importantly, anti-Nrn synergistically worked with anti-PD1 and improved the anti-PD1 response by reducing Tregs and increasing effector function in tumor-infiltrated T cells, resulting in enhanced tumor regression. Our findings identify Nrn as a critical regulator of Treg differentiation and effector T cell suppression, contributing to tumor progression. Targeting Nrn alone or combined with anti-PD1 therapy represents a promising strategy to enhance anti-tumor immunity.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
刚刚
迷你的冬萱完成签到,获得积分10
刚刚
刚刚
monica发布了新的文献求助10
2秒前
田様应助永梦双星采纳,获得10
2秒前
gui发布了新的文献求助10
2秒前
拼搏戎发布了新的文献求助10
2秒前
3秒前
3秒前
简单铭发布了新的文献求助30
3秒前
ccka完成签到,获得积分10
3秒前
yangyangyang完成签到,获得积分10
3秒前
哈哈哈发布了新的文献求助20
4秒前
4秒前
4秒前
红豆大王完成签到,获得积分10
4秒前
烟花应助11111111采纳,获得10
4秒前
油条发布了新的文献求助10
4秒前
陈平安完成签到,获得积分10
4秒前
DJ发布了新的文献求助10
4秒前
乔治发布了新的文献求助10
5秒前
cheng发布了新的文献求助10
5秒前
woshidabaojian完成签到,获得积分10
5秒前
上官若男应助布吉岛呀采纳,获得10
5秒前
彭于晏应助gengzongxiang采纳,获得10
6秒前
leo_zjm完成签到,获得积分10
7秒前
123完成签到,获得积分10
7秒前
活泼的乌发布了新的文献求助10
7秒前
陈平安发布了新的文献求助10
7秒前
修仙中应助84采纳,获得10
7秒前
qq发布了新的文献求助10
7秒前
赵闯完成签到,获得积分10
7秒前
8秒前
池恩完成签到,获得积分10
8秒前
8秒前
9秒前
ypx完成签到,获得积分10
9秒前
Orange应助DJ采纳,获得10
10秒前
bkagyin应助April_550采纳,获得10
10秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Navigating Normative Orders. Interdisciplinary Perspectives 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7762561
求助须知:如何正确求助?哪些是违规求助? 9307176
关于积分的说明 20298913
捐赠科研通 7347046
什么是DOI,文献DOI怎么找? 3313541
关于科研通互助平台的介绍 2463569
邀请新用户注册赠送积分活动 2327796