Engineered Intelligent Microenvironment Responsive Prodrug Conjugates Navigated by Bioinspired Lipoproteins for Reversing Liver Fibrosis.

IF 10.7 2区 材料科学 Q1 CHEMISTRY, PHYSICAL
Mingzhu Fang, Boyu Su, Shilin Zhang, Fangxin Li, Yun Guo, Qinjun Chen, Yuxing Wu, Huiyi Liu, Chen Jiang, Tao Sun
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引用次数: 0

Abstract

Liver fibrosis (LF) is characterized by excessive production of reactive oxygen species (ROS), abnormal activation of hepatic stellate cells (HSCs), and subsequent extracellular matrix (ECM) deposition. The complexity of multiple interrelated pathways involved in this process makes it challenging for monotherapy to achieve the desired therapeutic effects. To address this issue, this study designs a ROS-activated heterodimer conjugate (VTO) to collaboratively alleviate LF. Additionally, a biomimetic high-density lipoprotein is utilized for encapsulation, resulting in the formation of PL-VTO, which enables natural liver targeting. Once PL-VTO is delivered to the fibrotic liver, it can respond and release both parent drugs upon encountering the high ROS microenvironment, effectively scavenge ROS, induce quiescence of activated HSCs, and reduce collagen deposition, ultimately reversing LF. Overall, this study presents a feasible and versatile nanotherapeutic approach to enhance the prodrug-driven treatment of LF.

由生物启发脂蛋白导航的工程智能微环境响应前药偶联物逆转肝纤维化。
肝纤维化(LF)的特征是活性氧(ROS)的过量产生、肝星状细胞(hsc)的异常活化以及随后的细胞外基质(ECM)沉积。这一过程中涉及的多个相互关联的途径的复杂性使得单一疗法难以达到预期的治疗效果。为了解决这个问题,本研究设计了一种ros激活的异二聚体偶联物(VTO)来协同缓解LF。此外,利用仿生高密度脂蛋白进行包封,形成PL-VTO,从而实现天然的肝脏靶向。PL-VTO一旦被输送到纤维化肝脏,遇到高ROS微环境时,可响应并释放两种母体药物,有效清除ROS,诱导活化的hsc静止,减少胶原沉积,最终逆转LF。总的来说,本研究提出了一种可行且通用的纳米治疗方法来增强LF的前药驱动治疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Small Methods
Small Methods Materials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍: Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques. With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community. The online ISSN for Small Methods is 2366-9608.
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