[Multi-mathematical modelings for compatibility optimization of Jiangzhi granules]

Area of Science:

• Traditional Chinese Medicine
• Pharmacology
• Bioinformatics

Context:

• Chinese herbal formulas often contain multiple active compounds.
• Optimizing these complex formulations requires sophisticated evaluation methods.
• Existing methods may not fully capture the synergistic effects of herbal ingredients.

Purpose:

• To investigate a novel method for multi-activity index evaluation and optimized combination of multi-component Chinese herbal formulas.
• To apply this method to optimize the Jiangzhi granule formula.
• To validate the efficacy of the optimized formulation.

Summary:

• A uniform experimental design was employed, incorporating efficacy experiments and multi-index evaluation.
• Analytic hierarchy process (AHP) combined with criteria importance through intercriteria correlation (CRITIC) provided a robust multi-activity index evaluation.
• Least absolute shrinkage and selection operator (LASSO) modeling effectively determined the optimal combination of Jiangzhi granules based on serum and liver tissue activity indexes.
• The optimized Jiangzhi granule formula exhibited improved comprehensive activity index values compared to the original formula in validation experiments.

Impact:

• The developed AHP-CRITIC and LASSO-based methodology offers a more objective and reasonable approach to multi-activity index evaluation for Chinese herbal formulas.
• This approach facilitates the precise optimization of complex herbal formulations.
• The optimized Jiangzhi granule serves as a validated example of improved therapeutic potential through systematic formulation enhancement.