Nucleic acid drugs: recent progress and future perspectives

核酸 计算生物学 药物输送 药物开发 纳米技术 生物 药品 药理学 生物化学 材料科学
作者
Xiaoyi Sun,Sarra Setrerrahmane,Chencheng Li,Jialiang Hu,Hanmei Xu
出处
期刊:Signal Transduction and Targeted Therapy [Springer Nature]
卷期号:9 (1): 316-316 被引量:63
标识
DOI:10.1038/s41392-024-02035-4
摘要

Abstract High efficacy, selectivity and cellular targeting of therapeutic agents has been an active area of investigation for decades. Currently, most clinically approved therapeutics are small molecules or protein/antibody biologics. Targeted action of small molecule drugs remains a challenge in medicine. In addition, many diseases are considered ‘undruggable’ using standard biomacromolecules. Many of these challenges however, can be addressed using nucleic therapeutics. Nucleic acid drugs (NADs) are a new generation of gene-editing modalities characterized by their high efficiency and rapid development, which have become an active research topic in new drug development field. However, many factors, including their low stability, short half-life, high immunogenicity, tissue targeting, cellular uptake, and endosomal escape, hamper the delivery and clinical application of NADs. Scientists have used chemical modification techniques to improve the physicochemical properties of NADs. In contrast, modified NADs typically require carriers to enter target cells and reach specific intracellular locations. Multiple delivery approaches have been developed to effectively improve intracellular delivery and the in vivo bioavailability of NADs. Several NADs have entered the clinical trial recently, and some have been approved for therapeutic use in different fields. This review summarizes NADs development and evolution and introduces NADs classifications and general delivery strategies, highlighting their success in clinical applications. Additionally, this review discusses the limitations and potential future applications of NADs as gene therapy candidates.
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
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
Huang发布了新的文献求助10
刚刚
Huang发布了新的文献求助10
刚刚
Huang发布了新的文献求助10
刚刚
Huang发布了新的文献求助10
刚刚
刚刚
丘比特应助研友_nVNBVn采纳,获得10
刚刚
刚刚
刚刚
刚刚
刚刚
SciGPT应助苗条傲丝采纳,获得10
刚刚
椰子糖完成签到,获得积分10
1秒前
feng完成签到,获得积分20
1秒前
英姑应助forup采纳,获得30
1秒前
1秒前
camell发布了新的文献求助20
1秒前
努力乘凉完成签到,获得积分20
2秒前
思源应助Shrine采纳,获得10
2秒前
june完成签到,获得积分10
2秒前
2秒前
脆脆鲨完成签到,获得积分10
2秒前
2秒前
夏沫完成签到,获得积分10
3秒前
为什么完成签到,获得积分10
3秒前
3秒前
淇淇完成签到,获得积分10
3秒前
乔露乔露完成签到,获得积分10
4秒前
Tao完成签到,获得积分10
4秒前
清子发布了新的文献求助10
4秒前
4秒前
英姑应助leavesziqi采纳,获得10
5秒前
5秒前
Stanfuny完成签到,获得积分10
5秒前
小初发布了新的文献求助10
5秒前
开朗丹蝶发布了新的文献求助10
5秒前
6秒前
6秒前
qwe31533发布了新的文献求助30
6秒前
北冥风完成签到,获得积分20
6秒前
慕青应助大力的忆霜采纳,获得10
7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
List of 1,091 Public Pension Profiles by Region 1001
EEG in Childhood Epilepsy: Initial Presentation & Long-Term Follow-Up 500
Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences 500
On the application of advanced modeling tools to the SLB analysis in NuScale. Part I: TRACE/PARCS, TRACE/PANTHER and ATHLET/DYN3D 500
L-Arginine Encapsulated Mesoporous MCM-41 Nanoparticles: A Study on In Vitro Release as Well as Kinetics 500
Haematolymphoid Tumours (Part A and Part B, WHO Classification of Tumours, 5th Edition, Volume 11) 400
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 5471088
求助须知:如何正确求助?哪些是违规求助? 4573837
关于积分的说明 14341652
捐赠科研通 4501048
什么是DOI,文献DOI怎么找? 2466129
邀请新用户注册赠送积分活动 1454359
关于科研通互助平台的介绍 1428966