Network Analysis of Predicted Therapeutic Symptoms in National Health Insurance Herbal Prescriptions.

ABSTRACT:

Background

National Health Insurance Herbal prescriptions (NHPs) are widely used; however, their multi-component composition complicates mechanistic interpretation and impedes the development of evidence-based approaches in traditional medicine and healthcare policy. In this study, we applied a systems biology approach to link molecular mechanisms to clinical effects.

Methods

From 56 NHPs, 13 with sufficient clinical evidence were selected. Multi-layer networks connecting herbs, ingredients, genes, and diseases were constructed using SymMap, with interactions filtered for oral bioavailability and statistical significance (false discovery rate < 0.05). Network-predicted diseases were validated against a clinically validated benchmark using permutation-based null model analysi

SUBMITTER: Jang S 

PROVIDER: S-EPMC12654001 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature