Multi-omics and machine learning uncover anti-IBS-C mechanism of Tiaoqi Daozhi decoction via immune-neuro-epithelial remodeling and VIP–PKA–AQP3 axis activation

Background/objective This study investigates the molecular mechanisms of Tiaoqi Daozhi Decoction (TQD) in treating irritable bowel syndrome with constipation (IBS-C), focusing on its regulation of the immune-neuro-epithelial network and the VIP–PKA–AQP3 signaling axis. Methods Active components of TQD and potential targets were screened via TCMSP and SwissTargetPrediction. Identification of IBS-C DEGs from GSE146853 dataset constituted our initial step. Candidate therapeutic targets were analyzed through functional enrichment and protein–protein interaction networks. Machine learning models were applied to identify key disease-related biomarkers, followed by molecular docking and molecular dynamics simulations to evaluate compound–target interactions. The therapeutic efficacy of TQD and changes in colonic VIP–PKA–AQP3 signaling-related molecules were further evaluated in a liver-depression syndrome IBS-C rat model. Results Network pharmacology afforded identification of 74 bioactive constituents and 23 coincident putative targets, alongside substantial overrepresentation in inflammatory responses, neurotransmitter modulation, and neuroactive ligand-receptor coupling. Machine learning defined CETP , SELP , and BTK as core signature genes with high diagnostic performance (AUC = 0.714–0.829), with SELP contributing most to the model. Molecular docking and MD simulations confirmed that isodalbergin stable-binds to CETP and hyndarin to BTK. In the liver-depression syndrome IBS-C rat model, TQD significantly improved depressive-like behaviors and intestinal motility dysfunction, with increased colonic expression of VIP, p-PKA/PKA ratio, and AQP3, suggesting involvement of the VIP–PKA–AQP3 signaling pathway. Conclusion TQD alleviates IBS-C by modulating the immune–neuro–epithelial network, with associated changes in the VIP–PKA–AQP3 signaling pathway that may contribute to improvements in intestinal motility dysfunction and epithelial water transport abnormalities.

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Publication Details

Journal
Journal of Radiation Research and Applied Sciences
Published
2026-08-24
DOI
https://doi.org/10.1016/j.jrras.2026.102630
Primary Topic
Gastrointestinal motility and disorders
Type
article
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article

Multi-omics and machine learning uncover anti-IBS-C mechanism of Tiaoqi Daozhi decoction via immune-neuro-epithelial remodeling and VIP–PKA–AQP3 axis activation

Huang Ya, Xiaojun Yang, Yingyue Xu, Min Duan et al.
Journal of Radiation Research and Applied Sciences
Gastrointestinal motility and disorders
article

Multi-omics and machine learning uncover anti-IBS-C mechanism of Tiaoqi Daozhi decoction via immune-neuro-epithelial remodeling and VIP–PKA–AQP3 axis activation

Huang Ya, Xiaojun Yang, Yingyue Xu, Min Duan, Lixia Huang
article en

Abstract

Background/objective This study investigates the molecular mechanisms of Tiaoqi Daozhi Decoction (TQD) in treating irritable bowel syndrome with constipation (IBS-C), focusing on its regulation of the immune-neuro-epithelial network and the VIP–PKA–AQP3 signaling axis. Methods Active components of TQD and potential targets were screened via TCMSP and SwissTargetPrediction. Identification of IBS-C DEGs from GSE146853 dataset constituted our initial step. Candidate therapeutic targets were analyzed through functional enrichment and protein–protein interaction networks. Machine learning models were applied to identify key disease-related biomarkers, followed by molecular docking and molecular dynamics simulations to evaluate compound–target interactions. The therapeutic efficacy of TQD and changes in colonic VIP–PKA–AQP3 signaling-related molecules were further evaluated in a liver-depression syndrome IBS-C rat model. Results Network pharmacology afforded identification of 74 bioactive constituents and 23 coincident putative targets, alongside substantial overrepresentation in inflammatory responses, neurotransmitter modulation, and neuroactive ligand-receptor coupling. Machine learning defined CETP , SELP , and BTK as core signature genes with high diagnostic performance (AUC = 0.714–0.829), with SELP contributing most to the model. Molecular docking and MD simulations confirmed that isodalbergin stable-binds to CETP and hyndarin to BTK. In the liver-depression syndrome IBS-C rat model, TQD significantly improved depressive-like behaviors and intestinal motility dysfunction, with increased colonic expression of VIP, p-PKA/PKA ratio, and AQP3, suggesting involvement of the VIP–PKA–AQP3 signaling pathway. Conclusion TQD alleviates IBS-C by modulating the immune–neuro–epithelial network, with associated changes in the VIP–PKA–AQP3 signaling pathway that may contribute to improvements in intestinal motility dysfunction and epithelial water transport abnormalities.

Journal of Radiation Research and Applied SciencesVol. 19(3)
First People's Hospital of Chongqing (CN)
Good health and well-being
Openalex Percentile: Top 8%
Gastrointestinal motility and disorders
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