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ORIGINAL RESEARCH article
Front. Pharmacol.
Sec. Ethnopharmacology
Volume 16 - 2025 |
doi: 10.3389/fphar.2025.1544302
This article is part of the Research Topic Artificial Intelligence in Traditional Medicine Research and Application View all 5 articles
Structural analysis and treatment of acute liver injury of polysaccharides from the Radix Actinidiae Chinensis
Provisionally accepted- School of Pharmaceutical Science, Zhejiang Chinese Medical University, Hangzhou, China
Objective: To investigate the therapeutic effects of the PRAC on acute liver injury and its potential as an ingredient in drugs and nutraceuticals. Methods: Microwave-assisted extraction technology combined with Box-Behnken model combined with the three kinds of artificial neural networks was used to optimize PRAC extraction process. Characterize the structure and composition of PRAC. In order to prevent PRAC from being degraded by the gastrointestinal environment, PRAC-loaded liposomes were fabricated. The efficacy of PRAC-loaded liposomes was evaluated by three acute liver injury animal models prepared according to different mechanisms. Results: The best yield of PRAC was 4.49 %, and the purity reached up to 86.53 % by optimizing the microwave parameters using Box-Behnken model combined with the three kinds of artificial neural networks. PRCA was characterized as a galactan having a backbone consisting predominately of → 4)-D-Galp-(1 → and → 4)-D-Glcp-(1 → with a molecular weight of 12.713 kDa. The PRAC-loaded liposome obtained had a size about 340 nm with a polydispersity index 0.234. The entrapment efficiency was 70.12 % and the drug loading was 1.24 %. Liposomes can be fully released in the gastrointestinal environment within 12 hours and have longterm stability at 4°C. The therapeutic effect of PRAC liposomes on acute liver injury was confirmed by three animal models of acute liver injury. Conclusion: PRAC is a potential drug for the treatment of acute liver injury.
Keywords: artificial neural network, Radix Actinidiae chinensis, polysaccharide, Acute liver injury, Process optimization
Received: 12 Dec 2024; Accepted: 22 Jan 2025.
Copyright: © 2025 Ding, Ying, Lei, Zhang, Xia, Du, Xu and Shi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Qianyi Ying, School of Pharmaceutical Science, Zhejiang Chinese Medical University, Hangzhou, China
Jing Lei, School of Pharmaceutical Science, Zhejiang Chinese Medical University, Hangzhou, China
Ningchen Zhang, School of Pharmaceutical Science, Zhejiang Chinese Medical University, Hangzhou, China
Yu Xia, School of Pharmaceutical Science, Zhejiang Chinese Medical University, Hangzhou, China
Yilin Du, School of Pharmaceutical Science, Zhejiang Chinese Medical University, Hangzhou, China
Beihua Xu, School of Pharmaceutical Science, Zhejiang Chinese Medical University, Hangzhou, China
Senlin Shi, School of Pharmaceutical Science, Zhejiang Chinese Medical University, Hangzhou, China
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