Objective To predict potential quality markers(Q-Markers)of Gastrodia elata using fingerprinting,chemical pattern recognition and network pharmacology methods.Methods A total of 46 batches of Gastrodia elata were analyzed using high-performance liquid chromatography(HPLC)to establish fingerprint profiles,and common peaks were identified.Systematic cluster analysis(HCA),principal component analysis(PCA),and orthogonal partial least squares discriminant analysis(OPLS-DA)were employed to evaluate the 46 batches of samples.Additionally,The network diagram of"components-targets-pathways"was constructed using network pharmacology.Q-Marker of Gastrodia elata was predicted and quantitative analysis was conducted simultaneously.Results Seven substances were identified among the 13 common peaks in the fingerprint profiles.Results from HCA,PCA,and OPLS-DA were consistent,while network pharmacology identified 17 core active ingredients,86 core targets,and 181 key pathways.Integrating fingerprinting and network pharmacology,Gastrodin,p-hydroxybenzyl alcohol,parishin A,parishin B,parishin C,and parishin E were selected as potential Q-Markers of Gastrodia elata.The total contents of GAS and HBA alcohol in 46 batches of Gastrodia gastrodia decoction pieces ranged from 0.17%to 2.08%.Conclusion Integration of fingerprinting and network pharmacology analyses predicted potential Q-Markers of Gastrodia elata,and providing a scientific basis for comprehensive quality control and evaluation.

Objective To predict potential quality markers(Q-Markers)of Gastrodia elata using fingerprinting,chemical pattern recognition and network pharmacology methods.Methods A total of 46 batches of Gastrodia elata were analyzed using high-performance liquid chromatography(HPLC)to establish fingerprint profiles,and common peaks were identified.Systematic cluster analysis(HCA),principal component analysis(PCA),and orthogonal partial least squares discriminant analysis(OPLS-DA)were employed to evaluate the 46 batches of samples.Additionally,The network diagram of"components-targets-pathways"was constructed using network pharmacology.Q-Marker of Gastrodia elata was predicted and quantitative analysis was conducted simultaneously.Results Seven substances were identified among the 13 common peaks in the fingerprint profiles.Results from HCA,PCA,and OPLS-DA were consistent,while network pharmacology identified 17 core active ingredients,86 core targets,and 181 key pathways.Integrating fingerprinting and network pharmacology,Gastrodin,p-hydroxybenzyl alcohol,parishin A,parishin B,parishin C,and parishin E were selected as potential Q-Markers of Gastrodia elata.The total contents of GAS and HBA alcohol in 46 batches of Gastrodia gastrodia decoction pieces ranged from 0.17%to 2.08%.Conclusion Integration of fingerprinting and network pharmacology analyses predicted potential Q-Markers of Gastrodia elata,and providing a scientific basis for comprehensive quality control and evaluation.