Gut Microbiota and Primary Liver Cancer: Mendelian Randomization and Network Pharmacology Used to Predict Potential Therapeutic Intervention With Traditional Chinese Medicine

肠道菌群与原发性肝癌:孟德尔随机化和网络药理学用于预测传统中药的潜在治疗干预

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Abstract

OBJECTIVE: The objective of this study is to employ Mendelian randomization (MR) to screen for gut microbiota (GM) exhibiting causal genetic effects on primary liver cancer (PLC) development and to predict promising traditional Chinese medicine (TCM) candidates capable of intervening in PLC by modulating the GM. METHODS: Summary statistics from genome-wide association studies (GWASs) examining the relationship between GM and PLC were retrieved from the IEU OpenGWAS database. MR analysis was conducted using the two-sample MR package in R, employing the inverse variance weighted (IVW) method as the primary approach for assessing genetic causal effects. Functional enrichment analysis was performed on genes proximal to the instrumental variables (IVs) to investigate the signaling pathways through which the implicated microbiota may contribute to PLC pathogenesis. The CTD and Coremine Medical databases were combined to predict TCM compounds potentially regulating the genes proximal to the IVs. RESULT: The MR analysis identified nine taxonomic groups of GM exhibiting genetically predicted causal effects on PLC development. Among these, the Family XI (OR = 0.680, 95% CI: 0.469-0.985, p = 0.041), the genus Anaerotruncus (OR = 0.446, 95% CI: 0.228-0.873, p = 0.018), the genus Coprococcus 2 (OR = 0.440, 95% CI: 0.208-0.929, p = 0.031), the genus Escherichia Shigella (OR = 0.430, 95% CI: 0.216-0.857, p = 0.016), and the order Lactobacillales (OR = 0.517, 95% CI: 0.280-0.955, p = 0.035) were associated with a reduced risk of PLC. Conversely, the genus Barnesiella (OR = 2.594, 95% CI: 1.388-4.849, p = 0.003), the genus Catenibacterium (OR = 1.749, 95% CI: 1.003-3.048, p = 0.049), the genus Ruminococcus 2 (OR = 1.808, 95% CI: 1.066-3.068, p = 0.028), and Mollicutes RF9 (OR = 1.707, 95% CI: 1.010-2.884, p = 0.046) were associated with an elevated risk of PLC. The most frequently represented Chinese medicinal herbs predominantly include Camellia sinensis root, Curcuma longa L., Salvia miltiorrhiza, Triticum aestivum L., Panax ginseng C. A. Meyer, Panax notoginseng F.H. Chen, Radix Curcumae, Aucklandia lappa, Scutellaria baicalensis, and Zingiber officinale Rose., among others. GO enrichment analysis revealed that these genes were significantly enriched in biological processes including positive regulation of the ERK1/ERK2 signaling pathway, posttranslational protein modification (such as deglutamylation), synaptic vesicle exocytosis, and urea transport. KEGG pathway enrichment analysis demonstrated predominant enrichment of these genes in the neurotrophin signaling pathway and the cAMP signaling pathway. CONCLUSION: This study provides novel insights for developing GM-based TCM strategies for PLC prevention and treatment.

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