Cancer Cell Detection and Precision Targeting Drug Delivery by Covalently Functionalized Liposome

脂质体 药物输送 共价键 纳米技术 癌症 癌症检测 化学 组合化学 材料科学 医学 有机化学 内科学
作者
Malabika Ghosh,Uddipan Dasgupta,Sourav Barman,Asim K. Ray,Bishnu P. Chatterjee,Anindita Chakraborty,Ujjal Das,Pampi Chakraborty,Goutam Pramanik,Amit Ranjan Maity,Ankan Dutta Chowdhury
出处
期刊:ACS applied bio materials [American Chemical Society]
卷期号:8 (9): 8285-8296
标识
DOI:10.1021/acsabm.5c01225
摘要

In diagnostics, targeting ability is still a topic of concern for cancer cell detection as well as the drug delivery process. Selective detection of cancer cells from normal cells is a highly demanding but also crucial and challenging task. Recent emergence of folic acid as a targeting ligand can improve the drug delivery systems specifically targeted to cancer cells due to the high affinity to bind the folate receptor (FR) on the surface of cancer cells. In this study, the potential of covalently conjugated folic acid-liposomes (FA-liposomes) has been applied to detect cancer cells and thereafter for targeted drug delivery. Doxorubicin (Dox) has been used as a standard anticancer drug as well as the fluorophore probe for optical detection. To make a rigid sensor probe and nanocarrier, the amine-functionalized phospholipid modifications have been assembled for liposome formation, followed by Dox-encapsulation (FA-Lip-Dox). The targeting efficiency of FA-Lip-Dox was evaluated using three cell lines: CHO (noncancerous, control), U87MG (cancerous, low FR expression), and KB (cancerous, high FR expression) for cell detection. Additionally, for targeted drug delivery, significant Dox penetration in FR-overexpressed cancerous cells has been observed by fluorescence imaging and flow cytometry, while nontargeting cells exhibited negligible drug accumulation. This targeted delivery approach aims to maximize therapeutic efficacy in malignant cells while minimizing off-target effects and toxicity in healthy cells. The study found low cytotoxicity toward normal cells, highlighting the potential use of FA-Lip-Dox as a targeted nanocarrier for cell detection and effective drug delivery in cancer treatment.
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
苑小苑完成签到,获得积分10
刚刚
一一完成签到 ,获得积分10
1秒前
1秒前
Luke Gee完成签到 ,获得积分10
1秒前
EIEI完成签到,获得积分10
1秒前
3秒前
3秒前
小粗莓完成签到,获得积分10
3秒前
核桃发布了新的文献求助30
3秒前
大胆人英完成签到,获得积分10
3秒前
淡淡从阳完成签到,获得积分10
4秒前
睡到自然醒完成签到 ,获得积分10
5秒前
美满的弱完成签到,获得积分20
5秒前
WN完成签到,获得积分10
5秒前
晴天不冷完成签到,获得积分10
6秒前
小奕完成签到,获得积分10
6秒前
左江夜渔人完成签到,获得积分10
6秒前
呆鹅喵喵完成签到 ,获得积分10
6秒前
6秒前
细嗅蔷薇完成签到,获得积分10
6秒前
shouyu29发布了新的文献求助10
7秒前
deallyxyz完成签到,获得积分0
7秒前
彭于晏应助噗噗采纳,获得10
7秒前
9秒前
小小青发布了新的文献求助10
9秒前
呆萌的羽毛完成签到,获得积分10
9秒前
赵岩完成签到,获得积分10
9秒前
wmqlu完成签到,获得积分20
10秒前
leiiiiiiii完成签到,获得积分10
10秒前
美满的弱发布了新的文献求助10
10秒前
奋斗若风完成签到,获得积分10
10秒前
无宇伦比完成签到,获得积分10
11秒前
12秒前
13秒前
13秒前
诚心闭月完成签到,获得积分10
13秒前
13秒前
科研通AI6应助frankyeah采纳,获得10
14秒前
和春住完成签到,获得积分10
14秒前
神奇海螺完成签到,获得积分10
14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
Basic And Clinical Science Course 2025-2026 3000
《药学类医疗服务价格项目立项指南(征求意见稿)》 880
花の香りの秘密―遺伝子情報から機能性まで 800
3rd Edition Group Dynamics in Exercise and Sport Psychology New Perspectives Edited By Mark R. Beauchamp, Mark Eys Copyright 2025 600
1st Edition Sports Rehabilitation and Training Multidisciplinary Perspectives By Richard Moss, Adam Gledhill 600
nephSAP® Nephrology Self-Assessment Program - Hypertension The American Society of Nephrology 550
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5622452
求助须知:如何正确求助?哪些是违规求助? 4707879
关于积分的说明 14939966
捐赠科研通 4773129
什么是DOI,文献DOI怎么找? 2552430
邀请新用户注册赠送积分活动 1514444
关于科研通互助平台的介绍 1475133