On-demand targeting nanotheranostics with stimuli-responsive releasing property to improve delivery efficiency to cancer

癌症 财产(哲学) 材料科学 纳米技术 医学 认识论 内科学 哲学
作者
Hongwei Lu,Ji Xu,Jinfan Yang,Zhongling Wang,Peng Xu,Qian Hao,Wen Luo,Shuaijun Li,Zhengqing Li,Xiangdong Xue,Hongbo Zheng,Zhangjian Zhou,Hao Wu,Xiaobin Ma,Yuanpei Li
出处
期刊:Biomaterials [Elsevier]
卷期号:290: 121852-121852 被引量:20
标识
DOI:10.1016/j.biomaterials.2022.121852
摘要

Nanocarriers have great potential to enhance drug delivery efficiency and therapeutic effect for various cancers. However, premature drug leakage and non-specific targeting still limit the delivery efficiency. Here, we present a smart on-demand targeting nanotheranostic system ([email protected]) with stimuli-responsive releasing property to improve the delivery efficiency for ovarian cancer. This delivery system prevents premature drug leakage via boronate ester linkages and shields the targeting moieties (phenylboronic acid) from non-specific binding when circulating in the blood. The [email protected] would release the tumor-targeting payload (PB) in response to the tumor microenvironment. Then, PB was able to target the overexpressed sialic acids on tumor cells. The significant improvement of delivery efficiency was demonstrated in vivo by a significantly enhanced signal in near-infrared-fluorescence (NIRF)/magnetic-resonance (MR) imaging (5-fold higher) and a remarkable photo-thermal therapeutic effect (complete cure rate (CCR) up to 80%). Furthermore, due to the on-demand targeting and stimuli-responsive releasing strategy, this nanotheranostic system shows a greater delivery efficiency even than the active-targeting small molecules or control nanoformulations. We believe this delicate design has great potential to develop novel drug nanoformulation.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
momo完成签到,获得积分10
1秒前
小董不懂发布了新的文献求助10
1秒前
小赵完成签到,获得积分10
2秒前
小李博士发布了新的文献求助10
2秒前
Maggie完成签到 ,获得积分10
4秒前
研友_VZG7GZ应助yatou5651采纳,获得10
5秒前
qq完成签到,获得积分10
5秒前
wanghaowen完成签到,获得积分10
5秒前
5秒前
6秒前
8秒前
努努力完成签到 ,获得积分10
8秒前
CipherSage应助冷冷采纳,获得10
10秒前
10秒前
11秒前
13秒前
14秒前
充电宝应助zhongluyao采纳,获得10
15秒前
15秒前
浮雨微清完成签到,获得积分10
16秒前
ying发布了新的文献求助10
16秒前
打打应助铁锤采纳,获得10
16秒前
16秒前
达布妞完成签到,获得积分10
17秒前
传奇3应助UpUp采纳,获得10
17秒前
英俊的铭应助小李博士采纳,获得10
17秒前
17秒前
18秒前
19秒前
感动的寒风完成签到,获得积分10
19秒前
wangsiyuan完成签到 ,获得积分10
20秒前
划水发布了新的文献求助10
20秒前
21秒前
22秒前
haonanchen完成签到,获得积分10
23秒前
25秒前
白筠233发布了新的文献求助10
25秒前
难过的蜜粉完成签到,获得积分10
25秒前
ying完成签到,获得积分10
25秒前
25秒前
高分求助中
Medicina di laboratorio. Logica e patologia clinica 600
A new species of Velataspis (Hemiptera Coccoidea Diaspididae) from tea in Assam 500
Sarcolestes leedsi Lydekker, an ankylosaurian dinosaur from the Middle Jurassic of England 500
Machine Learning for Polymer Informatics 500
《关于整治突出dupin问题的实施意见》(厅字〔2019〕52号) 500
2024 Medicinal Chemistry Reviews 480
Geochemistry, 2nd Edition 地球化学经典教科书第二版 401
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3216667
求助须知:如何正确求助?哪些是违规求助? 2865899
关于积分的说明 8149397
捐赠科研通 2532374
什么是DOI,文献DOI怎么找? 1365742
科研通“疑难数据库(出版商)”最低求助积分说明 644601
邀请新用户注册赠送积分活动 617511