Integrating GC-MS, Network Pharmacology, and Efficacy Evaluation to Explore Quality Markers and the Compatible Regularity of Zhideke Granules

INTRODUCTION: Zhideke granules (ZDKG) are a widely used Traditional Chinese Medicine Formula (TCMF) in clinical practice for treating various diseases caused by wind-heat invading the lung. However, identifying quality markers (Q-markers) and elucidating their compatible regularity are challenging due to the complex composition of ZDKG, which involves multiple active ingredients acting on diverse targets. This study aimed to understand the compatible regularity of ZDKG and identify quality markers among its volatile components. METHODS: The volatile components of ZDKG and compatibility prescriptions were analyzed by GC-MS, and then the Q-markers were screened by network pharmacology and molecular docking. Additionally, animal experiments were conducted to investigate the antitussive, antiinflammation and expectorant effects of ZDKG and compatibility prescriptions. RESULTS: A total of 78 volatile components were identified from ZDKG and compatibility prescriptions. Based on the results of GC-MS and network pharmacology studies, farnesylacetone, diosphenol, tetradecanoic acid, (-)-menthol, p-menthan-3-one, piperitone, etc., can be determined as the Q-Markers for the volatile components of ZDKG. Animal experiments demonstrated that ZDKG had significant antitussive, anti-inflammation and expectorant effects, and the contribution of monarch medicines was the most prominent. DISCUSSION: Each functional unit in ZDKG has different degrees of regulation in volatile component analysis and animal experiments, but its intervention effect is not as good as that of the whole prescription, which is due to the synergistic effect of the bioactive components of 10 traditional Chinese medicines in ZDKG. CONCLUSION: The Q-Markers of volatile components in ZDKG, such as farnesylacetone and diosphenol, may exert antitussive, anti-inflammation, and expectorant effects by mediating MAPK3, MAPK1, PIK3CA, AKT1 targets and regulating PI3K-Akt, MAPK signaling pathways. The compatibility of different functional units can increase the types of volatile components of ZDKG and enhance its efficacy. This study clearly revealed the Q-Markers for the volatile components and the compatible regularity of ZDKG.

Authors

Institutions

Publication Details

Journal
Combinatorial Chemistry & High Throughput Screening
Published
2026-04-14
DOI
https://doi.org/10.2174/0113862073445841260202094721
Primary Topic
Traditional Chinese Medicine Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrating GC-MS, Network Pharmacology, and Efficacy Evaluation to Explore Quality Markers and the Compatible Regularity of Zhideke Granules

S S Chen, Jiani Mai, Shuyan Qin, Kuikui Chen et al.
Combinatorial Chemistry & High Throughput Screening
Traditional Chinese Medicine Analysis
article

Integrating GC-MS, Network Pharmacology, and Efficacy Evaluation to Explore Quality Markers and the Compatible Regularity of Zhideke Granules

S S Chen, Jiani Mai, Shuyan Qin, Kuikui Chen, Jie Liang, Zhidong Ma, Jingjing Xie, Jiawen Peng, Jiali Wei, Zejuan Zhang, Yuming Ma, Wenqing Huang
article en

Abstract

INTRODUCTION: Zhideke granules (ZDKG) are a widely used Traditional Chinese Medicine Formula (TCMF) in clinical practice for treating various diseases caused by wind-heat invading the lung. However, identifying quality markers (Q-markers) and elucidating their compatible regularity are challenging due to the complex composition of ZDKG, which involves multiple active ingredients acting on diverse targets. This study aimed to understand the compatible regularity of ZDKG and identify quality markers among its volatile components. METHODS: The volatile components of ZDKG and compatibility prescriptions were analyzed by GC-MS, and then the Q-markers were screened by network pharmacology and molecular docking. Additionally, animal experiments were conducted to investigate the antitussive, antiinflammation and expectorant effects of ZDKG and compatibility prescriptions. RESULTS: A total of 78 volatile components were identified from ZDKG and compatibility prescriptions. Based on the results of GC-MS and network pharmacology studies, farnesylacetone, diosphenol, tetradecanoic acid, (-)-menthol, p-menthan-3-one, piperitone, etc., can be determined as the Q-Markers for the volatile components of ZDKG. Animal experiments demonstrated that ZDKG had significant antitussive, anti-inflammation and expectorant effects, and the contribution of monarch medicines was the most prominent. DISCUSSION: Each functional unit in ZDKG has different degrees of regulation in volatile component analysis and animal experiments, but its intervention effect is not as good as that of the whole prescription, which is due to the synergistic effect of the bioactive components of 10 traditional Chinese medicines in ZDKG. CONCLUSION: The Q-Markers of volatile components in ZDKG, such as farnesylacetone and diosphenol, may exert antitussive, anti-inflammation, and expectorant effects by mediating MAPK3, MAPK1, PIK3CA, AKT1 targets and regulating PI3K-Akt, MAPK signaling pathways. The compatibility of different functional units can increase the types of volatile components of ZDKG and enhance its efficacy. This study clearly revealed the Q-Markers for the volatile components and the compatible regularity of ZDKG.

Combinatorial Chemistry & High Throughput ScreeningVol. 29
Guangxi University (CN), Guangxi University of Chinese Medicine (CN)
Openalex Percentile: Top 12%
Traditional Chinese Medicine Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.