Network pharmacology and experimental verification reveal the mechanism of Hedysari Radix and Curcumae Rhizoma with the optimal compatibility ratio against colitis-associated colorectal cancer

J Ethnopharmacol. 2024 Mar 25:322:117555. doi: 10.1016/j.jep.2023.117555. Epub 2023 Dec 16.

Abstract

Ethnopharmacological relevance: The herb pair Astragali Radix (AR) and Curcumae Rhizoma (vinegar-processed, VPCR), derived from the traditional Chinese medicine (TCM) text 'Yixuezhongzhongcanxilu', have long been used to treat gastrointestinal diseases, notably colitis-associated colorectal cancer (CAC). Hedysari Radix (HR), belonging to the same Leguminosae family as AR but from a different genus, is traditionally used as a substitute for AR when paired with VPCR in the treatment of CAC. However, the optimal compatibility ratio for HR-VPCR against CAC and the underlying mechanisms remain unclear.

Aim of the study: To investigate the optimal compatibility ratio and underlying mechanisms of HR-VPCR against CAC using a combination of comparative pharmacodynamics, network pharmacology, and experimental verification.

Materials and methods: The efficacy of different compatibility ratios of HR-VPCR against CAC was evaluated using various indicators, including the body weight, colon length, tumor count, survival rate, disease activity index (DAI) score, Haemotoxylin and Eosin (H&E) pathological sections, inflammation cytokines (IL-1β, IL-6, IL-10, TNF-α), tumor markers (K-Ras, p53), and intestinal permeability proteins (claudin-1, E-cadherin, mucin-2). Then, the optimal compatibility ratio of HR-VPCR against CAC was determined based on the fuzzy matter-element analysis by integrating the above indicators. After high-performance liquid chromatography (HPLC) analysis for the optimal compatibility ratio of HR-VPCR, potential active components of HR-VPCR were identified by TCMSP and the previous bibliographies. Swiss Targets and GeneCards were adopted to predict the targets of the active components and the targets of CAC, respectively. Then, the common targets of HR-VPCR against CAC were obtained by Venn analysis. PPI networks were constructed in STRING. GO and KEGG enrichments were visualized by the David database. Finally, the predicted pathway was experimentally validated via Western blot.

Results: Various compatibility ratios of HR-VPCR demonstrated notable therapeutic effects to some extent, evidenced by improvements in body weight, colon length, tumor count, pathological symptoms (DAI score), colon and organ indexes, survival rate, and modulation of inflammation factors (IL-1β, IL-6, IL-10, TNF-α), as well as tumor markers (K-Ras, p53), and down-regulation of intestinal permeability proteins (claudin-1, E-cadherin, mucin-2) in CAC mice. Among these ratios, the ratio 4:1 represents the optimal compatibility ratio by the fuzzy matter-element analysis. Thirty active components of HR-VPCR were carefully selected, targeting 553 specific genes. Simultaneously, 2022 targets associated with CAC were identified. 88 common targets were identified after generating a Venn plot. Following PPI network analysis, 29 core targets were established, with AKT1 ranking highest among them. Further analysis via GO and KEGG enrichment identified the PI3K-AKT signaling pathway as a potential mechanism. Experimental validation confirmed that HR-VPCR intervention effectively reversed the activated PI3K-AKT signaling pathway.

Conclusions: The optimal compatibility ratio for the HR-VPCR herb pair in alleviating CAC is 4:1. HR-VPCR exerts its effects by alleviating intestinal inflammation, improving intestinal permeability, and regulating the PI3K-AKT signaling pathway.

Keywords: Hedysari Radix-Curcumae Rhizoma (vinegar processed); Intestinal permeability; Mechanism; PI3K/AKT signaling pathway; The optimal compatibility ratio.

MeSH terms

  • Animals
  • Astragalus Plant*
  • Biomarkers, Tumor
  • Body Weight
  • Cadherins
  • Claudin-1
  • Colitis-Associated Neoplasms*
  • Drugs, Chinese Herbal* / pharmacology
  • Drugs, Chinese Herbal* / therapeutic use
  • Inflammation / drug therapy
  • Interleukin-10
  • Interleukin-6
  • Mice
  • Molecular Docking Simulation
  • Mucin-2
  • Network Pharmacology
  • Phosphatidylinositol 3-Kinases
  • Proto-Oncogene Proteins c-akt
  • Tumor Necrosis Factor-alpha
  • Tumor Suppressor Protein p53

Substances

  • Interleukin-10
  • Mucin-2
  • Claudin-1
  • Interleukin-6
  • Phosphatidylinositol 3-Kinases
  • Proto-Oncogene Proteins c-akt
  • Tumor Necrosis Factor-alpha
  • Tumor Suppressor Protein p53
  • Biomarkers, Tumor
  • Cadherins
  • Drugs, Chinese Herbal