Spectrum-Effect Relationship-Based Analysis of Pneumonia Mixture Used for Pneumonia Treatment

Area of Science:

• Pharmacology
• Traditional Chinese Medicine
• Analytical Chemistry

Background:

• The pneumonia mixture shows therapeutic promise, but its active components are unknown.
• Understanding active compounds is crucial for quality control and efficacy assessment.
• Spectrum-effect relationship analysis offers a method to link chemical profiles with pharmacological outcomes.

Purpose of the Study:

• To identify the active compounds of the pneumonia mixture using the spectrum-effect relationship.
• To establish a quality control method (Q-maker) for the pneumonia mixture based on plasma components.
• To provide a framework for evaluating similar traditional medicines.

Main Methods:

• Established a pneumonia rat model using lipopolysaccharide instillation.
• Administered the pneumonia mixture and collected biological samples (lungs, lavage fluid, plasma).
• Utilized Ultra-Performance Liquid Chromatography-Tandem Mass Spectrometry (UPLC-MS/MS) to detect plasma compounds and Partial Least Square Regression (PLSR) for correlation analysis.

Main Results:

• Detected eight compounds in rat plasma, with seven identified as Q-makers.
• Six of the detected plasma components showed significant correlations with pharmacodynamic indices.
• Successfully identified potential active compounds responsible for the therapeutic effects of the pneumonia mixture.

Conclusions:

• The spectrum-effect relationship effectively identified active compounds in the pneumonia mixture.
• The study provides a validated framework for assessing the material basis and efficacy of the pneumonia mixture.
• This approach can be applied to evaluate other traditional medicines with complex formulations.