A Method for Efficacy Evaluation of Traditional Chinese Medicine Compound Formulas Based on Integrated Pharmacokinetics

By sampling the target area in situ and immobilizing active target proteins on a microfluidic chip, combining surface acoustic wave transducers to exfoliate macromolecular matrices, and using a surface plasmon resonance optical platform to collect signals and perform differential processing, an improved pharmacokinetic and pharmacodynamic model was constructed. This solved the problems of signal interference and unclear mapping relationships in the efficacy evaluation of traditional Chinese medicine compound prescriptions, and achieved the accuracy and reliability of efficacy evaluation of traditional Chinese medicine compound prescriptions.

CN122306762APending Publication Date: 2026-06-30SHANDONG FIRST MEDICAL UNIV & SHANDONG ACADEMY OF MEDICAL SCI
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHANDONG FIRST MEDICAL UNIV & SHANDONG ACADEMY OF MEDICAL SCI
Filing Date
2026-04-07
Publication Date
2026-06-30

AI Technical Summary

Technical Problem

Existing technologies for evaluating the efficacy of traditional Chinese medicine compound prescriptions suffer from problems such as misalignment of pharmacokinetic and pharmacodynamic time axes, interference signal extraction from complex matrices, and unclear mapping relationships between components and targets. These issues prevent the evaluation system from accurately extracting the specific binding signals between the effective substance groups of traditional Chinese medicine compound prescriptions and their targets.

Method used

An integrated pharmacokinetic approach was adopted, utilizing an in vivo target area in-situ sampling system, a microfluidic and target sensing coupling system, and a differential signal processing and computing platform. Active target proteins and inactivated conformational target proteins were immobilized on a multi-channel microfluidic chip, and macromolecular matrix was exfoliated using a surface acoustic wave transducer. Signals were acquired using a surface plasmon resonance optical platform, and differential signal processing and calculation were performed to construct an improved maximum effect model for nonlinear least squares iterative calculation, outputting dose-effect and time-effect correlation parameters.

Benefits of technology

It enables dynamic extraction of the binding signals between the effective substance groups of traditional Chinese medicine compound and the target specificity, eliminates background interference from fluid refractive index fluctuations and non-specific physical adsorption, solves the problem of accurate fitting of the pharmacokinetic-efficacy correlation parameters of traditional Chinese medicine compound system, and ensures the accuracy of dose-effect correlation parameters.

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Abstract

This invention discloses a method for evaluating the efficacy of traditional Chinese medicine compound prescriptions based on integrated pharmacokinetics. Active target proteins and inactivated conformational target proteins are immobilized in the working channel and differential reference channel of a multi-channel microfluidic chip, respectively. Tissue dialysis fluid extracted from a live animal model is introduced into the multi-channel microfluidic chip. A surface plasmon resonance optical platform acquires absolute and background resonance angle offset signals, and a digital signal processor performs parallel subtraction operations to output a dynamic differential reference signal. A computer, combined with a first-order interaction kinetic model, continuously calculates the integrated target occupancy rate using the dynamic differential reference signal and the theoretical maximum differential resonance signal capacity. A macroscopic pharmacodynamic synchronous acquisition system acquires the pharmacodynamic response index sequence. The computer subtracts the fluid transport delay time to convert to the actual extraction time and interpolates and aligns the pharmacodynamic sequence, constructing an improved maximum effect model to iteratively calculate and output dose-effect and time-effect correlation parameters.
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