Nanocrystals as Effective Delivery Systems of Poorly Water-soluble Natural Molecules

水溶性 化学 输送系统 纳米技术 材料科学 有机化学 医学 药理学
作者
Francesco Lai,Michele Schlich,Rosa Pireddu,Anna Maria Fadda,Chiara Sinico
出处
期刊:Current Medicinal Chemistry [Bentham Science]
卷期号:26 (24): 4657-4680 被引量:29
标识
DOI:10.2174/0929867326666181213095809
摘要

Natural products are an important source of therapeutically effective compounds throughout the world. Since ancient times, a huge amount of both plant extracts and isolated compounds have been largely employed in treatment and prevention of human disorders and, currently, more than 60% of the world's population trusts on plant medicaments as demonstrated by the increasing quantity of herbal therapeutics in the market. Unfortunately, several promising natural molecules for the treatment of the most diverse ailments are characterized by extremely unfavourable features, such as low water solubility and poor/irregular bioavailability, which hinder their clinical use. To overcome these limitations and to make herbal therapy more effective, different formulative approaches have been employed. Among the different strategies for increasing drug solubility, nanocrystals can be considered one of the most interesting and successful approaches. Drug nanocrystals are nanosized drug particles usually formulated as nanosuspensions, namely submicron dispersions in liquid media where surfactants, polymers, or a mixture of both act as stabilisers. In this review, we described the most significant results and progresses concerning drug nanocrystal formulations for the delivery of natural compounds with a significant pharmacological activity. The text is organized in nine sections, each focusing on a specific poorly water- soluble natural compound (apigenin, quercetin, rutin, curcumin, baicalin and baicalein, hesperetin and hesperidin, resveratrol, lutein, silybin). To foster the clinical translation of these natural nanomedicines, our opinion is that future research should pair the essential pharmacokinetic studies with carefully designed pre-clinical experiments, able to prove the formulation efficacy in relevant animal models in vivo.
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
李健的小迷弟应助瑾宜采纳,获得10
1秒前
Hello应助积极的邪欢采纳,获得10
1秒前
1秒前
硫硫硫完成签到,获得积分10
2秒前
爆米花应助小田心采纳,获得10
2秒前
2秒前
兴奋芷完成签到,获得积分10
2秒前
gstaihn完成签到,获得积分10
2秒前
舒心的完成签到,获得积分10
3秒前
3秒前
落后煜城完成签到,获得积分10
3秒前
3秒前
hh完成签到,获得积分10
4秒前
vvwwvv完成签到 ,获得积分10
4秒前
hyjhhy发布了新的文献求助10
5秒前
婷ting发布了新的文献求助10
5秒前
一人摩羯完成签到,获得积分10
5秒前
6秒前
优美妖妖发布了新的文献求助10
6秒前
曲光彩发布了新的文献求助10
7秒前
7秒前
李健的小迷弟应助fztnh采纳,获得10
7秒前
8秒前
领导范儿应助悸沫采纳,获得10
8秒前
震人完成签到,获得积分10
9秒前
Leon完成签到,获得积分0
9秒前
9秒前
10秒前
10秒前
沐风完成签到,获得积分10
10秒前
10秒前
桐桐应助DAVIS采纳,获得10
11秒前
师宁完成签到,获得积分10
11秒前
米米米发布了新的文献求助10
12秒前
醉玉颓山完成签到,获得积分10
12秒前
lee完成签到,获得积分10
12秒前
阳yang完成签到,获得积分10
12秒前
12秒前
13秒前
下雨的颜色完成签到,获得积分10
14秒前
高分求助中
Cognitive Paradigms in Knowledge Organisation 2000
Effect of reactor temperature on FCC yield 2000
Near Infrared Spectra of Origin-defined and Real-world Textiles (NIR-SORT): A spectroscopic and materials characterization dataset for known provenance and post-consumer fabrics 610
Promoting women's entrepreneurship in developing countries: the case of the world's largest women-owned community-based enterprise 500
Shining Light on the Dark Side of Personality 400
Introduction to Spectroscopic Ellipsometry of Thin Film Materials Instrumentation, Data Analysis, and Applications 400
Artificial Intelligence: Foundations of ComputationalAgents, 3rd Edition Solution Manual and Instructor Resources 360
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 3308081
求助须知:如何正确求助?哪些是违规求助? 2941598
关于积分的说明 8504517
捐赠科研通 2616249
什么是DOI,文献DOI怎么找? 1429510
科研通“疑难数据库(出版商)”最低求助积分说明 663787
邀请新用户注册赠送积分活动 648720