Synergistic Programming of Macrophages by Hybrid Glycocalyx-Inspired Nanoparticles for Adoptive Cell Therapy

化学 糖萼 肿瘤微环境 巨噬细胞 细胞生物学 纳米颗粒 免疫系统 细胞内 过继性细胞移植 细胞疗法 细胞外 细胞 氧化铁纳米粒子 表型 癌细胞 癌症研究 生物物理学 癌症 细胞培养 肿瘤进展 体外
作者
Lin Yin,Xuyang Xu,Yi-Wei Shi,Xiangyun Xu,Xiaomei Liu,Jing An,Qiqige Du,Long Li,Guosong Chen
出处
期刊:Journal of the American Chemical Society [American Chemical Society]
卷期号:147 (42): 38838-38850 被引量:2
标识
DOI:10.1021/jacs.5c14740
摘要

Adoptive cell transfer has emerged as a promising approach for cancer immunotherapy. However, the transfer of macrophages is limited by their high plasticity, which can switch the pro-inflammatory phenotype (M1-like) to the anti-inflammatory state (M2-like) in an immunosuppressive microenvironment. Inspired by natural glycocalyx and its indispensable functions on immune response and communication, here we report an approach of hybrid glycocalyx-inspired nanoparticles that integrates (oligo)mannoside-modified glycopolymers with iron oxide to program primary macrophages into a persistent M1-like phenotype in which glycocalyx-inspired nanoparticles and iron oxide act as the extracellular and intracellular stimulatory signals, respectively. Importantly, with the synergistically enhanced immunoactivation of dual signals, the programmed macrophages are able to resist the immunosuppressive microenvironment and exhibit significantly enhanced tumoricidal effects both in vitro and in vivo. We further demonstrate that adoptive transfer of macrophages programmed by hybrid glycocalyx-inspired nanoparticles also improves the tumor microenvironment and increases T cell responses. These results, using glycocalyx mimetics as macrophage encoders, highlight an alternative approach for the development of adoptive cell immunotherapies.
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
辣条欧包完成签到,获得积分10
1秒前
111发布了新的文献求助10
2秒前
kingwill发布了新的文献求助30
2秒前
2秒前
DR发布了新的文献求助10
3秒前
AllRightReserved应助wwqing0704采纳,获得10
3秒前
英俊的铭应助cm5257采纳,获得10
4秒前
toto完成签到,获得积分10
4秒前
CipherSage应助负责月光采纳,获得10
4秒前
Jasper应助满意的天采纳,获得10
4秒前
5秒前
小渣渣完成签到,获得积分10
5秒前
bkagyin应助知性的珠采纳,获得10
6秒前
无花果应助飞快的盼易采纳,获得20
6秒前
cxzdm完成签到,获得积分10
6秒前
6秒前
科研通AI6.2应助溪泉采纳,获得10
6秒前
7秒前
Aurora发布了新的文献求助10
7秒前
jj发布了新的文献求助10
7秒前
葡萄柚绿茶完成签到,获得积分10
8秒前
9秒前
111完成签到,获得积分10
9秒前
9秒前
10秒前
鱼白发布了新的文献求助10
10秒前
biozy完成签到,获得积分10
10秒前
DR完成签到,获得积分10
11秒前
任迷迷发布了新的文献求助10
11秒前
老迟到的翠绿关注了科研通微信公众号
12秒前
12秒前
connie完成签到,获得积分10
13秒前
13秒前
13秒前
静香发布了新的文献求助10
14秒前
英吉利25发布了新的文献求助10
14秒前
Ari_Kun完成签到 ,获得积分10
15秒前
SPt发布了新的文献求助10
15秒前
15秒前
16秒前
高分求助中
Adhesion Science: Principles & Practice 1234
Signals, Systems, and Signal Processing 610
Petrology and Plate Tectonics,2025 400
Burger's Medicinal Chemistry and Drug Discovery 400
New directions for experimental lessons in science teaching: Myth, Mystery, Necessity? by Emily K. da Silva Cunha Souto (Author), Flávia Lins Silva (Author) 333
Scientific experimentation in the classroom: Comparison between genetic-Socratic-exemplary teaching and workshop teaching by Ingrid Hofer (Author) 333
Programming for Chemical Engineers Using C, C++, and MATLAB 320
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6722410
求助须知:如何正确求助?哪些是违规求助? 8458500
关于积分的说明 18058369
捐赠科研通 5975254
什么是DOI,文献DOI怎么找? 2996696
邀请新用户注册赠送积分活动 1972857
关于科研通互助平台的介绍 1926946