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Wei Li1, Navaneethakrishnan Polachi2, Xiangyang Wang3

  • 1National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing - 100700, China; Center for Post-doctoral Research, China Academy of Chinese Medical Sciences, Beijing - 100700, China; State Key Laboratory of Core Technology in Innovative Chinese Medicine, Tasly Pharmaceutical Group Co., Ltd., Tianjin - 300410, China; Tasly Academy, Tasly Holding Group Co., Ltd., Tianjin - 300410, China.

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Summary

This study identified four key phenolic acids as effective quality markers (Q-Markers) for salvianolic acids for injection (SAI). This approach enhances quality control for traditional Chinese medicine (TCM).

Keywords:
Chinese medicinePharmacokineticsPharmacological actionQ-MarkerQuality standardSalvianolic acids for injection

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Area of Science:

  • Pharmacology
  • Analytical Chemistry
  • Traditional Chinese Medicine (TCM)

Background:

  • Quality control of TCM is a significant research challenge.
  • The concept of Quality Markers (Q-Markers) was introduced for TCM evaluation.
  • This study explores Q-Markers in salvianolic acids for injection (SAI).

Purpose of the Study:

  • To screen for Q-Markers in SAI.
  • To establish a quality control method for SAI based on the Q-Marker concept.

Main Methods:

  • Identification of chemical constituents and their sources in SAI.
  • Investigation of pharmacological effects on cerebral ischemia-reperfusion injury in rats.
  • Screening Q-Markers using target cell extracts and pharmacokinetic studies.
  • Establishing fingerprints and determination methods based on Q-Markers.

Main Results:

  • Twenty constituents were identified in SAI.
  • Salvianolic acid B (SA-B), rosmarinic acid (RA), lithospermic acid (LA), salvianolic acid D (SA-D), and salvianolic acid Y (SA-Y) are major components.
  • SA-B, RA, LA, and SA-D were identified as effective Q-Markers for SAI.

Conclusions:

  • The study presents a robust method for detecting Q-Markers in TCM.
  • The identified Q-Markers can serve as control indices for SAI quality assessment.
  • This approach offers effective quality control for TCM products.