[Study on quality markers of Pleione yunnanensis for "same treatment for different diseases" in liver inflammation and Alzheimer's disease based on UHPLC fingerprint and network pharmacology].

This study aims to screen quality markers(Q-markers) of Pleione yunnanensis for the treatment of liver inflammation and Alzheimer's disease(AD) based on the concept of "same treatment for different diseases" using ultra-high-performance liquid chromatography(UHPLC) fingerprinting combined with network pharmacology and molecular docking, and to perform quantitative analysis of the identified Q-markers. The UHPLC fingerprints of 15 batches of P. yunnanensis were established and subjected to similarity evaluation, cluster analysis(CA), principal component analysis(PCA), and orthogonal partial least squares discriminant analysis(OPLS-DA) to identify characteristic components responsible for quality variations. Network pharmacology and molecular docking were employed to explore the potential active components, related targets, and signaling pathways underlying the "same treatment for different diseases" mechanism for liver inflammation and AD. Based on the criteria of effectiveness, specificity, and measurability, Q-markers of P. yunnanensis were identified and quantified. Ten common peaks were identified in the UHPLC fingerprints of 15 batches, with eight components identified. Similarity scores ranged from 0.774 to 0.987. Chemical pattern recognition analysis identified that shancigusin H, militarine, and gymnoside Ⅴ were the major characteristic components contributing to quality differences among batches. RESULTS:: of network pharmacology and molecular docking revealed that dactylorhin A and militarine were the key active components exerting anti-inflammatory and neuroprotective effects. These components acted on 13 core targets, including SRC, CASP3, and CTNNB1, and regulated signaling pathways such as the PI3K-Akt signaling pathway and arachidonic acid metabolism. Based on the effectiveness, specificity, and measurability of Q-marker, dactylorhin A and militarine were selected as the Q-markers of P. yunnanensis. Quantitative analysis demonstrated that the content of dactylorhin A ranged from 0.527% to 2.21%, and militarine ranged from 0.731% to 2.58% across the 15 batches. The UHPLC fingerprint method and Q-marker-based quantification approach are robust and reliable, providing experimental evidence for quality control and standardization of P. yunnanensis.