From Single Components to Complex Systems： Application Characteristics， Advantages， and Prospects of Traditional Chinese Medicine Nano-self-assembly
10.13422/j.cnki.syfjx.20260765
- VernacularTitle:从单一组分到复杂体系：中药纳米自组装的应用特点、优势与展望
- Author:
Shuo NAN
1
;
Yilong HU
1
;
Jinying ZHANG
1
;
Mingsan MIAO
1
Author Information
1. Henan Collaborative Innovation Center for Research and Development on the Whole Industry Chain of Yu-Yao， Henan University of Chinese Medicine， Zhengzhou 450046， China
- Publication Type:Journal Article
- Keywords:
traditional Chinese medicine;
non-covalent interaction;
nano-self-assembly;
research progress
- From:
Chinese Journal of Experimental Traditional Medical Formulae
2026;32(20):314-322
- CountryChina
- Language:Chinese
-
Abstract:
The active components in traditional Chinese medicine （TCM） generally have problems such as poor solubility and low bioavailability， which seriously restrict their clinical efficacy. In recent years， TCM nano-self-assembly based on the non-covalent interactions between molecules has become the research frontier in this field because it can spontaneously form an orderly structure and improve the insoluble components in the body. Moreover， TCM nano-self-assembly has shown unique advantages in the treatment of fibrosis， inflammatory and immune diseases， infectious diseases， and cancer. This article summarizes the research context， structural system， and potential as a pharmacological substance basis of TCM nano-self-assembly by reviewing recent published studies， with focuses on the application of TCM nano-self-assembly in the treatment of diseases from single components to complex systems. In addition， this article summarizes its advantages， mechanism characteristics， and main challenges faced. At present， this field still faces issues such as insufficient mechanism research， a lack of in-depth understanding of the competitive assembly rules of multiple components， difficulty in quality control， unclear in vivo processes and safety， and obstacles to clinical translation. To address these issues， this article proposes a series of solutions， including introducing molecular dynamics simulation and artificial intelligence to predict assembly behavior， using experimental techniques to analyze non-covalent interactions， establishing a comprehensive evaluation system with multiple indicators， using isotope labeling and in vivo imaging techniques to dynamically track in vivo processes， conducting standardized safety evaluation， promoting the filing of hospital preparations and new drug applications， and strengthening early communication between research and regulation. Finally， this article points out the future development directions， aiming to provide reference for subsequent research and clinical translation.
