Niosomal as Potential Vesicular Drug Nano-carriers for the Treatment of Tuberculosis (TB)

肺结核 毒品携带者 药品 医学 尼奥体 药理学 纳米技术 材料科学 化学 小泡 病理 生物化学
作者
Rahul Pal,Prachi Pandey,Himmat Singh Chawra,Ravindra Pal Singh
出处
期刊:Nanoscience & nanotechnology Asia [Bentham Science]
卷期号:14 被引量:2
标识
DOI:10.2174/0122106812323829240919050438
摘要

Targeted drug delivery systems are employed to administer pharmaceutical medication, facilitating the precise delivery of drugs to specific diseased areas. Various delivery methods utilize carriers such as antibodies, transdermal patches, biodegradable polymers, nanoparticles (NPs), liposomes, niosomes, and microspheres. Niosomes, on the other hand, represent a promising and innovative category of vesicular systems. Niosomes are vesicles formed by hydrating a combination of nonionic surfactants (NIOs) and cholesterol. These nonionic surfactant carriers serve as carriers for both lipophilic and amphiphilic drugs. In the drug delivery system using niosomes, the medication is enclosed within a vesicle. The niosomes in tuberculosis (TB) possess biodegradable and biocompatible properties, are nonimmunogenic, and demonstrate versatility in their structural composition. It is a serious and potentially contagious disease originating from the bacteria, Mycobacterium tuberculosis. In a recent update, the WHO still estimated that the number of TB cases was 9.9 million in 2022. The use of niosomes improves the treatment of TB through the use of much more advanced technology and advanced drug nanocarriers. The main aim of this review paper is to summarize the structural compositions of niosomes with silent features and various preparation methods, as well as to complete the discussion about tuberculosis and its treatment/diagnosis. Finally, the comparison of niosomes with liposomes and their current applications in treating TB with several niosomal-drug carriers and treatment with niosomal formulations was performed.

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
在水一方应助JoJoT采纳,获得10
刚刚
yue完成签到,获得积分10
1秒前
1秒前
Shawn发布了新的文献求助10
2秒前
jingx333完成签到 ,获得积分10
2秒前
酷波er应助倾慕采纳,获得10
3秒前
RYAN完成签到 ,获得积分10
3秒前
4秒前
4秒前
高小高发布了新的文献求助10
5秒前
7秒前
8秒前
刻苦的安白完成签到,获得积分10
8秒前
12321完成签到,获得积分10
9秒前
大个应助刘刘宇航采纳,获得10
9秒前
9秒前
10秒前
科研通AI6.2应助豆豆采纳,获得10
10秒前
vickylow完成签到,获得积分10
11秒前
温柔曼安完成签到 ,获得积分10
11秒前
Orange应助shisan采纳,获得10
12秒前
华仔应助d叨叨鱼采纳,获得10
12秒前
13秒前
好好发布了新的文献求助10
14秒前
达菲完成签到,获得积分10
14秒前
11111发布了新的文献求助10
14秒前
海妍完成签到,获得积分20
15秒前
一禾生完成签到,获得积分10
16秒前
16秒前
16秒前
17秒前
李健的小迷弟应助Merit采纳,获得10
19秒前
20秒前
海妍发布了新的文献求助30
21秒前
hhhheeee发布了新的文献求助10
22秒前
Owen应助Hachi采纳,获得30
22秒前
胡杨发布了新的文献求助10
22秒前
浮云应助青柠采纳,获得10
23秒前
开心浩阑应助传统的襄采纳,获得20
23秒前
可靠白安发布了新的文献求助10
23秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
Molecular Mechanisms of Photosynthesis, 4th Edition 1000
Organic Reactions, Volume 116 1000
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7254586
求助须知:如何正确求助?哪些是违规求助? 8876687
关于积分的说明 18742738
捐赠科研通 6935086
什么是DOI,文献DOI怎么找? 3200159
关于科研通互助平台的介绍 2374831
邀请新用户注册赠送积分活动 2175117