RESUMO
To make clear of the absorbed components of Tianzhusan (TZS) and its possible mechanism in preventing vascular dementia (VD), the rats' models of VD were prepared by a permanent ligation of the bilateral common carotid arteries. After 60 days, rats were administrated with TZS for 0.1 g x kg(-1), and the volume is 0.02 mL x g(-1). After 3 days, the medicated serum was prepared and detected by UPLC, and then we predicted the possible chemical structure of the absorbed components of TZS. According to the absorbed components, the potential targets of TZS were found by ligand profiling of Discovery Studio 3.5. All of these target genes were submitted to DAVID onine for gene set enrichment analysis (GSEA). The 5 absorbed components of TZS have been predicted, and four of them have been identified as parishin B, parishin C, parishin, pennogenin-3-O-alpha-L-rhamnopyranosy-(1-->2)-beta-D-glucoside. Through reverse finding targets, we got 861 pharmacophore models and 9 pathways from KEGG, BIOCARTA after document verification. These results showed that the efficacy mechanism of TZS on VD perhaps were be related with these absorbed components and pathways. If the traditional herbs could be proved effective by efficacy tests, the serum pharmacochemistry, computer-aided drug design, system biology and other technologies can be used in the next experiments, which will be beneficial to fast discovery of material basis and mechanisms of traditional medicine coming form ethnic minorities.
Assuntos
Demência Vascular/prevenção & controle , Medicamentos de Ervas Chinesas/uso terapêutico , Gastrodia/química , Medicina Tradicional Chinesa , Trillium/química , Animais , Descoberta de Drogas , Masculino , Ratos , Ratos Sprague-Dawley , Espectrometria de Massas por Ionização por ElectrosprayRESUMO
Context: Among the Tujia people, the root or rhizome of Trillium tschonoskii Maxim.in Bull.Acad (TTM) is considered a miraculous herb for headaches. Previous studies have shown ethyl acetate extract (TTM1) can protect SH-SY5Y cells against glutamate injury. Objective: This study clarified TTM1's mechanism against glutamate-induced cell damage, focusing on the regulation of apoptosis. The compounds were separated, identified, and performed molecular docking with pro-apoptotic proteins. Materials and Methods: SH-SY5Y cells were treated with glutamate (2 mM) for 12 hour, and the effect of TTM1 (2.5, 5, 10, and 20 µg/mL) was evaluated with MTT and LDH release assays, taking EGb761(40 µg/mL) as a control. Cell apoptosis was detected with Hoechst 33258 and Annexin V-FITC and measurements of intracellular calcium and caspase-3. The major components were separated and identified by LCMS-IT-TOF and NMR, then the proapoptotic activity of TTM1 was confirmed by molecular docking method. Results: TTM1 protected SH-SY5Y cells by resisting apoptosis, TTM1 (10 and 20 µg/mL) decreased apoptotic bodies and nuclear fragments, increased the proportion of normal cells to 68.38 ± 5.63% and 92.80 ± .88%, decreased VA cells to 4.30 ± .76% and 3.58 ± .45% and caspase-3 to .365 ± .034 and .344 ± .047 ng/mL.TTM1 (10 µg/mL) decreased intracellular free calcium to 2.77 ± .40. Polyphyllin VI and pennogenin 3-O-ß-chacotrioside were identified in TTM1 at 15.04% and 2.84%, and had potential anti-apoptosis activities. Discussion and Conclusions: Folk records of TTM for headache may be related to its anti-apoptosis of nerve cells. Identification and content determination of index components based on effective extract provides research paradigms for rare and endangered ethnic plants.
RESUMO
Identification of bioactive components is an important area of research in traditional Chinese medicine (TCM) formula. The reported identification methods only consider the interaction between the components and the target proteins, which is not sufficient to explain the influence of TCM on the gene expression. Here, we propose the Initial Transcription Process-based Identification (ITPI) method for the discovery of bioactive components that influence transcription factors (TFs). In this method, genome-wide chip detection technology was used to identify differentially expressed genes (DEGs). The TFs of DEGs were derived from GeneCards. The components influencing the TFs were derived from STITCH. The bioactive components in the formula were identified by evaluating the molecular similarity between the components in formula and the components that influence the TF of DEGs. Using the formula of Tian-Zhu-San (TZS) as an example, the reliability and limitation of ITPI were examined and 16 bioactive components that influence TFs were identified.