Traditional Chinese medicine as a promising choice for future control of PEDV.

Journal: Virus research
Published Date:

Abstract

Porcine epidemic diarrhea virus (PEDV) is the major agent of the recent outbreaks of diarrhea in piglets, which has caused huge economic losses to the global swine industry. Since traditional vaccine strategies cannot provide complete protection for piglets, the development of safe, effective, and economical antiviral drugs is urgently needed. For many years, traditional Chinese medicines (TCMs) have been broadly applied for viral infectious diseases, exhibiting advantages such as abundant resources, lower toxicity, and minimal drug resistance. Many Chinese herbal monomers, single herbal extracts derived from these traditional drugs, and Chinese herbal recipes exhibit significant anti-PEDV effects in vitro and/or in vivo by targeting multiple sites and perspectives, including inhibition of the viral life cycle, anti-inflammation effects, enhancement of the host immune response, modulation of reactive oxygen species, and apoptosis. However, to date, no review has been published on the anti-PEDV effects of TCM. Therefore, this review summarizes the current control strategies for PEDV and systematically analyses the research progress of TCMs against PEDV. Furthermore, the future directions including the integration of nanotechnology and artificial intelligence with TCMs are also discussed. This review will provide a valuable reference for future studies on TCMs in antiviral research.

Authors

  • Conghao Ji
    Medical College, Henan University of Chinese Medicine, Zhengzhou 450046, China; Henan Engineering Research Center for Chinese Medicine Foods for Special Medical Purpose, Zhengzhou 450046, China. Electronic address: j18300698502@163.com.
  • Shuxuan Li
    Medical College, Henan University of Chinese Medicine, Zhengzhou 450046, China; Henan Engineering Research Center for Chinese Medicine Foods for Special Medical Purpose, Zhengzhou 450046, China.
  • Cunhai Hu
    Luoyang Yiyin Industrial Co., LTD, Luoyang 471000, China.
  • Tongtong Liu
    Department of Electronic Engineering, Fudan University, Shanghai, China.
  • Qingqing Huang
    Department of Critical Care Medicine, the Second Affiliated Hospital of Kunming Medical University, Kunming 650000, Yunnan, China.
  • Mengyuan Yang
    West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu 610041, China.
  • Mengxin Yang
    Medical College, Henan University of Chinese Medicine, Zhengzhou 450046, China.
  • Qianqian Wang
    School of Teacher Education, Zhejiang Normal University, Jinhua, China.
  • Aifang Li
    Medical College, Henan University of Chinese Medicine, Zhengzhou 450046, China; Henan Engineering Research Center for Chinese Medicine Foods for Special Medical Purpose, Zhengzhou 450046, China.
  • Dandan Guo
    Department of Chemistry, Xixi Campus, Zhejiang University, Hangzhou, 310028, China.
  • Yu Huang
    School of Data Science and Software Engineering, Qingdao University, Qingdao 266021, China.
  • Sugai Yin
    Medical College, Henan University of Chinese Medicine, Zhengzhou 450046, China; Henan Engineering Research Center for Chinese Medicine Foods for Special Medical Purpose, Zhengzhou 450046, China.
  • Shuying Feng
    Medical College, Henan University of Chinese Medicine, Zhengzhou 450046, China; Henan Engineering Research Center for Chinese Medicine Foods for Special Medical Purpose, Zhengzhou 450046, China. Electronic address: fsy@hactcm.edu.cn.