Tumor cell membrane-camouflaged responsive nanoparticles enable MRI-guided immuno-chemodynamic therapy of orthotopic osteosarcoma

骨肉瘤 癌症研究 肿瘤微环境 纳米载体 归巢(生物学) 化学 免疫疗法 材料科学 医学 纳米技术 纳米颗粒 免疫系统 免疫学 肿瘤细胞 生物 生态学
作者
Liwen Fu,Weiying Zhang,Xiaojun Zhou,Jingzhong Fu,Chuanglong He
出处
期刊:Bioactive Materials [Elsevier BV]
卷期号:17: 221-233 被引量:67
标识
DOI:10.1016/j.bioactmat.2022.01.035
摘要

Osteosarcoma is a refractory bone disease in young people that needs the updating and development of effective treatment. Although nanotechnology is widely applied in cancer therapy, poor targeting and inadequate efficiency hinder its development. In this study, we prepared alendronate (ALD)/K7M2 cell membranes-coated hollow manganese dioxide (HMnO2) nanoparticles as a nanocarrier to load Ginsenoside Rh2 (Rh2) for Magnetic Resonance imaging (MRI)-guided immuno-chemodynamic combination osteosarcoma therapy. Subsequently, the ALD and K7M2 cell membranes were successively modified on the surface of HMnO2 and loaded with Rh2. The tumor microenvironment (TME)-activated Rh2@HMnO2-AM nanoparticles have good bone tumor-targeting and tumor-homing capabilities, excellent GSH-sensitive drug release profile and MRI capability, and attractive immuno-chemodynamic combined therapeutic efficiency. The Rh2@HMnO2-AM nanoparticles can effectively trigger immunogenic cell death (ICD), activate CD4+/CD8+ T cells in vivo, and upregulate BAX, BCL-2 and Caspase-3 in cellular level. Further results revealed that Rh2@HMnO2-AM enhanced the secretion of IL-6, IFN-γ and TNF-α in serum and inhibited the generation of FOXP3+ T cells (Tregs) in tumors. Moreover, the Rh2@HMnO2-AM treatment significant restricted tumor growth in-situ tumor-bearing mice. Therefore, Rh2@HMnO2-AM may serve as an effective and bio-friendly nanoparticle platform combined with immunotherapy and chemodynamic therapy to provide a novel approach to osteosarcoma therapy.

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
1秒前
godblessyou发布了新的文献求助10
1秒前
2秒前
沐禾完成签到,获得积分10
2秒前
3秒前
sharkmelon应助宝哥采纳,获得10
4秒前
4秒前
lvxiaotang发布了新的文献求助10
6秒前
车非笑发布了新的文献求助10
6秒前
科研通AI6.1应助木可采纳,获得10
7秒前
子名起难完成签到,获得积分10
8秒前
初景应助一十二画采纳,获得20
8秒前
沐禾发布了新的文献求助10
9秒前
11发布了新的文献求助10
9秒前
迪娜完成签到,获得积分10
9秒前
CodeCraft应助iyaaaa采纳,获得10
9秒前
10秒前
zzz发布了新的文献求助10
10秒前
爆米花应助九玖酒采纳,获得10
13秒前
顾矜应助奥利奥爱好者采纳,获得10
13秒前
April完成签到,获得积分10
13秒前
14秒前
大个应助伶俐的紫蓝采纳,获得10
14秒前
xmq完成签到,获得积分10
15秒前
xxxka发布了新的文献求助20
16秒前
16秒前
123完成签到,获得积分10
18秒前
yy湫完成签到 ,获得积分20
19秒前
louis发布了新的文献求助10
20秒前
豆豆完成签到,获得积分10
20秒前
22秒前
子奇完成签到 ,获得积分10
24秒前
日落发布了新的文献求助10
25秒前
25秒前
小二郎应助xxxka采纳,获得10
25秒前
25秒前
26秒前
27秒前
28秒前
长情的飞凤完成签到,获得积分10
30秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 1200
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
Adhesion Science: Principles & Practice 400
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 6491842
求助须知:如何正确求助?哪些是违规求助? 8289629
关于积分的说明 17688814
捐赠科研通 5583248
什么是DOI,文献DOI怎么找? 2915157
邀请新用户注册赠送积分活动 1892265
关于科研通互助平台的介绍 1750146