Resveratrol in animal models of pancreatitis and pancreatic cancer: A systematic review with machine learning.

Journal: Phytomedicine : international journal of phytotherapy and phytopharmacology
PMID: 40037107

Abstract

BACKGROUND: Resveratrol (RES), a common type of plant polyphenols, has demonstrated promising therapeutic efficacy and safety in animal models of pancreatitis and pancreatic cancer. However, a comprehensive analysis of these data is currently unavailable. This study aimed to systematically review the preclinical evidence regarding RES's effects on animal models of pancreatitis and pancreatic cancer via meta-analyses and optimised machine learning techniques.

Authors

  • Wenhao Cai
    Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.
  • Ziyu Li
    Gastrointestinal Cancer Center, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing, China.
  • Wen Wang
    Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, China.
  • Shiyu Liu
    State Key Laboratory of Oral Diseases, Sichuan University, Chengdu, China.
  • Yuying Li
  • Xin Sun
    Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA USA.
  • Robert Sutton
    Institute of Systems, Molecular and Integrative Biology, University of Liverpool and Liverpool University Hospitals NHS Foundation Trust, Liverpool, England, UK.
  • Lihui Deng
    School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China. Electronic address: denglh2019@126.com.
  • Tingting Liu
    Center for Drug Safety Evaluation and Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.
  • Qing Xia
  • Wei Huang
    Shaanxi Institute of Flexible Electronics, Northwestern Polytechnical University, 710072 Xi'an, China.

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