Surface-Modified Lyotropic Crystalline Nanoconstructs Bearing Doxorubicin and Buparvaquone Target Sigma Receptors through pH-Sensitive Charge Conversion to Improve Breast Cancer Therapy

化学 溶致性 药物输送 表面电荷 叶酸受体 表面改性 纳米技术 聚合物 分析化学(期刊) 材料科学 物理化学 有机化学 癌细胞 癌症 医学 内科学 液晶
作者
Neha Singh,Disha Marwaha,Shalini Gautam,Nikhil Rai,Pratiksha Tiwari,Madhu Sharma,Rahul Shukla,Madhav Nilakanth Mugale,Akhilesh Kumar,Prabhat Ranjan Mishra
出处
期刊:Biomacromolecules [American Chemical Society]
卷期号:24 (12): 5780-5796 被引量:1
标识
DOI:10.1021/acs.biomac.3c00795
摘要

In the current study, we aimed to develop lyotropic crystalline nanoconstructs (LCNs) based on poly(l-glutamic acid) (PLG) with a two-tier strategy. The first objective was to confer pH-responsive charge conversion properties to facilitate the delivery of both doxorubicin (DOX) and buparvaquone (BPQ) in combination (B + D@LCNs) to harness their synergistic effects. The second goal was to achieve targeted delivery to sigma receptors within the tumor tissues. To achieve this, we designed a pH-responsive charge conversion system using a polymer consisting of poly(ethylenimine), poly(l-lysine), and poly(l-glutamic acid) (PLG), which was then covalently coupled with methoxybenzamide (MBA) for potential sigma receptor targeting. The resulting B + D@LCNs were further modified by surface functionalization with PLG–MBA to confer both sigma receptor targeting and pH-responsive charge conversion properties. Our observations indicated that at physiological pH 7.4, P/B + D-MBA@LCNs exhibited a negative charge, while under acidic conditions (pH 5.5, characteristic of the tumor microenvironment), they acquired a positive charge. The particle size of P/B + D-MBA@LCNs was determined to be 168.23 ± 2.66 nm at pH 7.4 and 201.23 ± 1.46 nm at pH 5.5. The crystalline structure of the LCNs was confirmed through small-angle X-ray scattering (SAXS) diffraction patterns. Receptor-mediated endocytosis, facilitated by P/B + D-MBA@LCNs, was confirmed using confocal laser scanning microscopy and flow cytometry. The P/B + D-MBA@LCNs formulation demonstrated a higher rate of G2/M phase arrest (55.20%) compared to free B + D (37.50%) and induced mitochondrial depolarization (59.39%) to a greater extent than P/B + D@LCNs (45.66%). Pharmacokinetic analysis revealed significantly improved area under the curve (AUC) values for both DOX and BPQ when administered as P/B + D-MBA@LCNs, along with enhanced tumor localization. Tumor regression studies exhibited a substantial reduction in tumor size, with P/B + D-MBA@LCNs leading to 3.2- and 1.27-fold reductions compared to B + D and nontargeted P/B + D@LCNs groups, respectively. In summary, this two-tier strategy demonstrates substantial promise for the delivery of a drug combination through the prototype formulation. It offers a potential chemotherapeutic option by minimizing toxic effects on healthy cells while maximizing therapeutic efficacy.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
tanyunjuan完成签到,获得积分20
1秒前
脑洞疼应助JY采纳,获得10
1秒前
1秒前
共享精神应助qqq159753采纳,获得10
2秒前
科研果完成签到,获得积分10
2秒前
韩豆乐发布了新的文献求助10
3秒前
3秒前
4秒前
阿白完成签到,获得积分10
4秒前
欣欣向荣完成签到,获得积分10
5秒前
5秒前
小曲同学完成签到,获得积分10
6秒前
小文子发布了新的文献求助10
6秒前
6秒前
7秒前
7秒前
tong完成签到,获得积分10
7秒前
9秒前
9秒前
Elaine应助maofeng采纳,获得10
9秒前
9秒前
完美世界应助Zhang采纳,获得10
9秒前
11秒前
DKY驳回了小蘑菇应助
11秒前
小土豆完成签到,获得积分10
11秒前
韩豆乐完成签到,获得积分10
12秒前
12秒前
Jeffny完成签到 ,获得积分10
13秒前
隔壁老璇发布了新的文献求助10
14秒前
15秒前
16秒前
清璃发布了新的文献求助10
16秒前
16秒前
16秒前
蔚然无尽蓝完成签到,获得积分10
17秒前
量子星尘发布了新的文献求助10
17秒前
开朗的蚂蚁完成签到,获得积分10
18秒前
Zx_1993应助叉烧饭采纳,获得10
19秒前
20秒前
Barret发布了新的文献求助10
20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
Theoretical modelling of unbonded flexible pipe cross-sections 2000
List of 1,091 Public Pension Profiles by Region 1581
Encyclopedia of Agriculture and Food Systems Third Edition 1500
Specialist Periodical Reports - Organometallic Chemistry Organometallic Chemistry: Volume 46 1000
Current Trends in Drug Discovery, Development and Delivery (CTD4-2022) 800
Minimizing the Effects of Phase Quantization Errors in an Electronically Scanned Array 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5532370
求助须知:如何正确求助?哪些是违规求助? 4621091
关于积分的说明 14576802
捐赠科研通 4560970
什么是DOI,文献DOI怎么找? 2499032
邀请新用户注册赠送积分活动 1479026
关于科研通互助平台的介绍 1450265