Cross-kingdom delivery and putative gene modulation of androgen pathways by plant-derived exosome-like nanoparticles from polygoni multiflori radix promotes hair growth via miRNA cargo

下调和上调 毛囊 雄激素受体 细胞生物学 化学 小RNA 雄激素 基因 基因表达 癌症研究 基因表达调控 RNA干扰 生物 根(腹足类) 药理学 纳米载体 毛乳头 脱发 细胞生长 基因传递 细胞培养 头发周期
作者
Shaojin Li,You-Bo Zhang,Xiyang Liu,Huang Su,Haiyan Cao,Hong Xuan,Yingxian Cui,Ziang Lu,qinhao zhang,Yike Li,Yike Li,Xiaoai Bao,Hailong Xu,Yanlin Wang,Xinjie Zhuo,Xinyue Zhang,Qingying Zhang,Qingying Zhang
出处
期刊:Pharmacological Research [Elsevier BV]
卷期号:222: 108033-108033 被引量:10
标识
DOI:10.1016/j.phrs.2025.108033
摘要

Plant-derived exosome-like nanoparticles (PENs) have emerged as promising nanocarriers for cross-kingdom delivery and putative gene modulation, yet their functional role in human physiology remains largely unexplored. Here, we isolate and characterize exosome-like nanoparticles from Polygoni Multiflori Radix (PMENs) and demonstrate their capacity to promote hair growth through cross-kingdom delivery and putative gene modulation of androgen signaling. PMENs are efficiently internalized by dermal papilla cells via caveolin- and heparan sulfate proteoglycan-mediated endocytosis, delivering plant-derived miRNAs that directly target the human androgen receptor (AR). This leads to downregulation of AR expression and downstream suppression of DKK1, a key inhibitor of the Wnt/β-catenin pathway. PMENs concurrently increase GSK3β phosphorylation and stabilize β-catenin, fostering hair follicle regeneration. In testosterone-induced delay in hair regrowth in C57BL/6 mice, PMENs outperform Minoxidil in restoring hair growth. High-throughput sequencing identifies aof-miR168a and osa-miR164a as core miRNA effectors, confirmed to repress AR via conserved 3'UTR binding sites. These findings establish PMENs as a novel, miRNA-mediated nanotherapy that enables putative cross-kingdom gene modulation and provides a compelling strategy for treating androgen-driven conditions such as AGA.
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
Yilin发布了新的文献求助10
刚刚
宁融发布了新的文献求助10
刚刚
完美芹完成签到,获得积分10
刚刚
科研通AI6.4应助尹伊萍采纳,获得10
1秒前
1秒前
科研通AI6.2应助尹伊萍采纳,获得10
1秒前
哈基咪完成签到 ,获得积分10
3秒前
4秒前
5秒前
Jing完成签到,获得积分10
7秒前
沉静尔蓝发布了新的文献求助10
7秒前
小火车发布了新的文献求助10
7秒前
8秒前
8秒前
JamesPei应助邵梁健采纳,获得10
9秒前
10秒前
ying发布了新的文献求助10
10秒前
无糖果粒橙应助周周采纳,获得10
11秒前
丙泊酚完成签到,获得积分10
11秒前
NexusExplorer应助高兴不尤采纳,获得10
11秒前
14秒前
15秒前
老大车完成签到,获得积分10
17秒前
钟意完成签到,获得积分10
19秒前
19秒前
啊啊啊啊啊啊啊完成签到,获得积分10
20秒前
发Sci1完成签到,获得积分10
20秒前
22秒前
22秒前
清风明月入怀抱完成签到,获得积分10
24秒前
24秒前
25秒前
沉静馒头完成签到,获得积分10
25秒前
姚老表完成签到,获得积分10
25秒前
钟意完成签到,获得积分10
25秒前
26秒前
小火车完成签到,获得积分20
26秒前
summer应助布噜布噜采纳,获得10
26秒前
27秒前
发Sci1发布了新的文献求助10
27秒前
高分求助中
Markov Chain Monte Carlo 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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 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 7583903
求助须知:如何正确求助?哪些是违规求助? 9162659
关于积分的说明 19607512
捐赠科研通 7165840
什么是DOI,文献DOI怎么找? 3266349
关于科研通互助平台的介绍 2431276
邀请新用户注册赠送积分活动 2257837