ABSTRACT
The role of traditional Chinese medicine Prunella vulagaris L in the treatment of tumors and inflammation has been widely confirmed. We found that some signaling pathways of Prunella vulgaris L action can also regulate diabetes and hypertension, so we decided to study the active ingredients, potential targets and signaling pathway of Prunrlla vulgaris L, and explore the "multi-target, multi-pathway" molecular mechanism of Prunella vulgaris L on diabetes mellitus complicated with hypertension(DH). Methods. Based on TCMSP(Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform) and CNKI(China National Knowledge Infrastructure), the components and action targets related to Prunella vulgaris L were screened. The OMIM(Online Mendelian Inheritance in Man) and GeneCards (The human gene database) were used to search for targets related to DH. The "gene - drug - disease" relationship map was drawn by Cytoscape_v3.7.2 plug-in. The target was amplified by the STRING platform, and the "protein - protein" interaction relationship (PPI) network of the interacting target was obtained by the STRING online analysis platform and the Cytoscape_v3.7.2 plug-in. Finally, GO enrichment analysis and KEGG pathway enrichment analysis were conducted on David and Metascape platform to study the co-acting targets. Results. 11 active components, 41 key targets and 16 significant signaling pathways were identified from Prunella vulgaris L. The main active components of Prunella vulgaris L against DH were quercetin and kaumferol, etc, and potential action targets were IL-6 and INS, etc and signaling pathways were AGE-RAGE signaling pathway, TNF signaling pathway, MAPK signaling pathway, PI3K-AKT signaling pathway, etc. It involves in biological processes such as cell proliferation, apoptosis and inflammatory response. Conclusions. The main molecular mechanism of Prunella vulgaris L against DH is that sterols and flavonoids play an active role by affecting TNF signaling pathway, AGE-RAGE signaling pathway, MAPK pathway, PI3K-Akt pathway related targets such as IL-6 and INS.
Subject(s)
Diabetes Mellitus/metabolism , Drugs, Chinese Herbal/pharmacology , Hypertension/metabolism , Prunella , Diabetes Mellitus/drug therapy , Drugs, Chinese Herbal/chemistry , Flavonoids/pharmacology , Glycation End Products, Advanced/drug effects , Glycation End Products, Advanced/metabolism , Humans , Hypertension/drug therapy , Insulin/metabolism , Interleukin-6/metabolism , MAP Kinase Signaling System/drug effects , Molecular Docking Simulation , Network Pharmacology , Phosphatidylinositol 3-Kinases/drug effects , Phosphatidylinositol 3-Kinases/metabolism , Phytosterols/pharmacology , Protein Interaction Maps , Proto-Oncogene Proteins c-akt/drug effects , Proto-Oncogene Proteins c-akt/metabolism , Quercetin , Receptor for Advanced Glycation End Products/drug effects , Receptor for Advanced Glycation End Products/metabolism , Signal Transduction/drug effects , Tumor Necrosis Factor-alpha/drug effects , Tumor Necrosis Factor-alpha/metabolismABSTRACT
OBJECTIVE: To explore the correlation between the recurrence of cerebral infarction and aspirin resistance (AR)/Chinese medical (CM) constitutions. METHODS: Totally 413 cerebral infarction patients took Aspirin Enteric-coated Tablet (100 mg per day) while receiving routine therapy, 5 days at least in a week. They were followed-up for 12 months. Aspirin sensitivity (AS) was determined using turbidimetry. CM constitutions among patients with different AS were compared. Ratios of AR patients and AS patients of different CM constitutions in cerebral infarction recurrent patients were compared. Platelet membrane glycoproteins (GP) II b HPA-3 gene polymorphism was detected by polymerase chain reaction (PCR) method. Correlation between recurrence of cerebral infarction and AR, bb genotypes, CM constitutions times AS were analyzed by Logistic regression. RESULTS: Totally 11 patients dropped out, 101 (25.12%)with recurrent cerebral infarction and 301 (74.88%) without recurrent cerebral infarction. There were 152 (37.81%) AR patients and 250 (62.19%) AS patients. AR accounted for 26.6% (80/ 301) and AS accounted for 73.4% (221/301) in non-recurrent cerebral infarction patients. AR accounted for 71.3% (72/101) and AS accounted for 28.7% (29/101) in recurrent cerebral infarction patients. There was statistical difference in AR and AS ratios (χ2 = 64.287, P = 0.000). The proportion of yin deficiency constitution (YDC) was the largest [28.3% (43/152)] in AR patients. The proportion of blood stasis constitution (BSC) was the largest [23.6% (59/250)] in AS patients. There was statistical difference in CM constitutions between AR patients and AS patients (χ2 = 21.574, P < 0.01). The former 4 recurrent rates occurred in AR patients of YDC, BSC, damp-phlegm constitution (DPC), qi deficiency constitution (QDC). YDC occupied the first place [22.4% (34/152)]. The former 4 recurrent rates occurred in AS patients of BSC, QDC, DPC, damp-heat constitution (DHC). BSC occupied the first place [3.2% (2/250)]. Compared with non-recurrent cerebral infarction patients and AS patients, bb gene occurred most often, but aa gene and ab gene occurred obviously lesser in non-recurrent cerebral infarction patients and AR patients (χ2 = 20.171, χ2 = 55.139, P < 0.01). AR and bb gene were positively correlated with recurrent cerebral infarction (OR = 18.423, P = 0.000; OR = 1.304, P = 0.028). Body constitutions interacted with AS (OR = 0.707, P = 0.000). CONCLUSIONS: Recurrent cerebral infarction was closely related to AR and constitutional types. The recurrence rate was higher in AR patients of YDC. GP I b HPA-3 bb genotype might be a risk factor for AR and recurrent cerebral infarction.
