Clinical multi-omics reveals the role of Tuomin Zhiti Decoction Intervention in Allergic Rhinitis from the perspective of biological network
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Background
Increasing evidence showed that seasonal allergic rhinitis (SAR), as an allergy disease, could be alleviated with traditional Chinese medicine (TCM) formula, one example being Tuomin Zhiti Decoction (TZD). However, as a complex composition of TCM herbs, the mechanism of TZD in the treatment of SAR remain unclear.
Purpose
Uncover the mechanism of TZD for treating SAR based on computational analysis and clinical multi-omics experiments.
Study design
Integrate computational analysis including network target analysis and machine learning algorithms with clinical multi-omics experiments and public omics data.
Methods
By analyzing TZD’s composition through a network-based method, we identified the biological effects of each compound, constructing a comprehensive biological network to elucidate TZD’s molecular and pathway mechanisms against AR. Single-arm clinical trials on the gut microbiome and serum transcriptomics corroborated our computational insights. Further validation through public omics data highlighted key TZD compounds, paving the way for future research.
Results
TZD was discovered to exert a regulatory effect on various modules associated with AR, as demonstrated by the constructed biological network. Insights from gut microbiome and serum transcriptomics in clinical trials, where immune-related microbiomes represented by Prevotella, as well as pathways and biological processes including antigen processing and presentation, activation and regulating immune cell surface receptor, were markedly enriched ( P value < 0.05), indicated that TZD played a pivotal role in modulating immune processes and the immune cells against AR. With the verification of multi-omics, it was determined that TZD potentially influences immune responses and downstream immune cells like CD4+ T cells, through both direct mechanisms involving antigen and indirect mechanisms mediated by gut microbiomes in the treatment of AR.
Conclusion
Through combination of computational prediction and analysis together with clinical multi-omics, a network target based framework provided a new insight for uncovering the mechanism of TZD for treating AR.
