Background and Objectives: Type 2 diabetes mellitus (T2DM) is a global health concern affecting more than 400 million people worldwide. Diabetic neuropathy, nephropathy, retinopathy, and cardiovascular complications lead to debilitating effects to patients. To prevent these, the treatment goal is to lower the blood sugar levels and maintain at a normal range which is achieved through conventional treatments like insulin and oral hypoglycemic agents. However, the high cost of these medications implicates patient treatment outcomes. Hence, alternatives are sought for including the use of herbal medicines. Momordica charantia (MC) and Lagerstroemia speciosa (LS) are common herbal medicines used to manage T2DM. In the Philippines, these herbal preparations are validated for their glucose lowering effects and are commonly found in combination in food supplements. The study aims to screen the possible mechanisms of compounds present in these herbal medicines which can offer possible explanations for their synergistic effects and rationalization of their combination in preparations. Methods: Network pharmacology was employed to determine pivotal proteins that are targeted by MC and LS compounds. Molecular docking was then done to evaluate the favorability of the binding of these compounds toward their target proteins. Results: Our results showed that TNF, HSP90AA1, MAPK3, ALDH2, GCK, AKR1B1, TTR and RBP4 are the possible pivotal targets of MC and LS compounds in T2DM. Conclusion Terpenoids from MC and decanoic acid from LS are the compounds which showed favorable binding towards pivotal protein targets in T2DM. By binding towards the different key proteins in T2DM, they may exhibit their synergistic effects. However, the results of this study are bound to the limitations of computational methods and experimental validation are needed to verify our findings.
Molecular Docking Simulation ; Network Pharmacology ; Momordica charantia

To optimize the extraction process of Chuanxiong Rhizoma-Gastrodiae Rhizoma herb pair by network pharmacology combined with analytic hierarchy process(AHP)-entropy weight method and multi-index orthogonal test. The potential active components and targets of Chuanxiong Rhizoma-Gastrodiae Rhizoma were screened by network pharmacology and molecular docking, and the process evaluation indexes were determined with reference to the Chinese Pharmacopoeia(2020 edition). The core components of Chuanxiong Rhizoma-Gastrodiae Rhizoma were determined as gastrodin, parishin B, parishin C, parishin E, ferulic acid, and 3-butylphthalide. With the extraction volume of each indicator and yield of dry extract as comprehensive evaluation indicators, the extraction conditions were optimized by the AHP-entropy weight method and orthogonal test as the ethanol volume of 50%, the solid-liquid ratio of 1∶8(g·mL~(-1)), extraction for three times, and 1.5 h each time. Through network pharmacology and molecular docking, the process evaluation index was determined, and the optimized process was stable and reproducible for the extraction of Chuanxiong Rhizoma-Gastrodiae Rhizoma herb pair, which could provide reference for in-depth research.
Drugs, Chinese Herbal/pharmacology* ; Network Pharmacology ; Molecular Docking Simulation ; Rhizome

The resin ethanol extract of Gegen Qinlian Decoction(GGQLD) has been found to significantly alleviate the intestinal toxicity caused by Irinotecan, but further research is needed to establish its overall quality and clinical medication standards. This study aimed to establish an HPLC characteristic fingerprint of the resin ethanol extract of GGQLD, predicted the targets and signaling pathways of its pharmacological effects based on network pharmacology, identified core compounds with pharmacological relevance, and analyzed potential quality markers(Q-markers) of the resin eluate of GGQLD for relieving Irinotecan-induced toxicity. By considering the uniqueness, measurability, and traceability of Q-markers based on the "five principles" of Q-markers and combining them with network pharmacology techniques, the overall efficacy of the resin ethanol extract of GGQLD can be characterized. Preliminary predictions suggested that the four components of puerarin, berberine, baicalin, and baicalein might serve as potential Q-markers for the resin etha-nol extract of GGQLD. This study provides a basis and references for the quality control and clinical mechanism of the resin ethanol extract of GGQLD.
Irinotecan ; Network Pharmacology ; Drugs, Chinese Herbal/therapeutic use*

Analytic hierarchy process(AHP)-entropy weight method(EWM) and network pharmacology were employed to identify the potential quality markers(Q-markers) of Gei Herba. According to the new concept of Q-markers in traditional Chinese medicine(TCM), the AHP-EWM was applied to quantitatively identify the Q-markers of Gei Herba. The AHP was used for the weight analysis of primary indicators(factor layer), and the EWM for the analysis of literature and experimental data of secondary indicators(control layer). In addition, network pharmacology was employed to build the "component-target-disease-efficacy" network for Gei Herba, and the components showing strong associations with the Qi-replenishing, spleen-invigorating, blood-tonifying, Yin-nourishing, lung-moistening, and phlegm-resolving effects of Gei Herba were screened out. According to the results of AHP-EWM and network pharmacology, four components, i.e., ellagic acid, gallic acid, gemin G, and gemin C, were finally identified as potential Q-markers of Gei Herba. In this study, the AHP-EWM and network pharmacology were employed to screen the Q-markers of Gei Herba, which provided ideas for the quantitative evaluation and identification of Q-markers of TCM.
Drugs, Chinese Herbal/pharmacology* ; Network Pharmacology ; Analytic Hierarchy Process ; Entropy ; Medicine, Chinese Traditional

In this study, based on network pharmacology and molecular docking method, the mechanism of anti-hyperplasia of mammary glands of Xihuang Pills blood-entering components was explored, and the efficacy and key targets of Xihuang Pills blood-entering components were experimentally verified by MCF-10A proliferation model of human mammary epithelial cells. In order to clarify the material basis and mechanism of Xihuang Pills in realizing anti-hyperplasia of mammary glands, the blood-entering components of Xihuang Pills were qualitatively analyzed by UPLC-Q-TOF-MS, and 22 blood-entering components were identified. By taking the blood-entering components as the research object, the network pharmacology prediction and molecular docking verification were carried out, and finally, three key targets were screened out, namely JAK1, SRC, and CDK1. In vitro experiments show that Xihuang Pills can inhibit the proliferation of MCF-10A cells, promote the apoptosis of MCF-10A cells, and reduce the expression of JAK1, SRC, and CDK1 targets in cells. To sum up, Xihuang Pills can promote the apoptosis of mammary epithelial cells by regulating the expression of JAK1, SRC, and CDK1 and then play an anti-hyperplasia role, which provides an experimental basis for clarifying the material basis of Xihuang Pills for anti-hyperplasia effect.
Humans ; Chromatography, High Pressure Liquid ; Molecular Docking Simulation ; Network Pharmacology ; Apoptosis ; Hyperplasia ; Drugs, Chinese Herbal/pharmacology*

Humans ; Dementia, Vascular ; Proteomics ; Network Pharmacology ; Drugs, Chinese Herbal/pharmacology* ; Cognition

Two terpenes, 3-keto-tirucalla-8,24-dien-21-oic acid(KTDA) and 2-methoxy-5-acetoxy-furanogermacr-1(10)-en-6-one(FSA), are isolated from Olibanum and Myrrha respectively, which are characterized by high yield and easy crystallization during the preparation. The present study explored the regulatory targets and anti-inflammatory mechanism of KTDA and FSA based on network pharmacology and cell viability assay. First, the drug-likeness of KTDA and FSA was predicted by Swiss ADME. The target prediction of active components was carried out by Swiss Target Prediction and Pharmmapper. TTD, Drug Bank, and Gene Cards were searched for inflammation-related target genes of KTDA and FSA. Protein-protein interaction(PPI) analysis was performed on the inflammatory targets of KTDA and FSA by STRING, and Cytoscape was used to conduct topological analysis of the interaction results and construct the PPI network. GO function and KEGG pathway enrichment analyses of inflammatory targets of KTDA and FSA were carried out by DAVID, and a " component-target-pathway" network was constructed. Finally, lipopolysaccharide(LPS)-induced RAW264. 7 cells were treated with KTDA and FSA at different concentrations, and nitric oxide(NO) concentration and protein and m RNA expression levels were detected. The results showed that both KTDA and FSA showed good drug-likeness. A total of 157 and 142 inflammation-related targets of KTDA and FSA were screened out. PPI network analysis showed that MAPK1, AKT1, MAPK8, PIK3 CA,PIK3 R1, EGFR, etc. might be the key proteins for the anti-inflammatory effect. PI3 K/AKT and MAPK signaling pathways were obtained by KEGG and GO-BP enrichment. Cell experiment results showed that KTDA and FSA could exert anti-inflammatory effects by inhibiting NO production, reducing the phosphorylation levels of JNK, p38, and AKT proteins, and down-regulating the m RNA expression of interleukin(IL)-1β and IL-6. Meanwhile, FSA could also inhibit ERK phosphorylation. The results indicated that KTDA and FSA had significant anti-inflammatory activity, which provided a scientific basis and important support for the further research,development, and utilization of Olibanum and Myrrha.
Animals ; Ants ; Drugs, Chinese Herbal/pharmacology* ; Frankincense ; Lipopolysaccharides ; Molecular Docking Simulation ; Network Pharmacology

As a classic prescription for promoting blood circulation to remove blood stasis, Xuefu Zhuyu Decoction(XFZYD) is widely used in clinical practice and has notable curative effect. Based on the key targets of activating blood circulation, this study identified the active components of XFZYD to reveal the material basis. The components of XFZYD were collected from Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP). The molecular docking models were built for the blood-activating targets obtained from the previous study with the components of XFZYD. The top five active components with measurability for each target were selected as the potential blood-activating components in the prescription. The efficacy of the prescription can embody key pharmacological and high-content components. In this study, anti-platelet aggregation activity was used to characterize the effect of activating blood, and the in vivo experiments were conducted to verify the accuracy of the active components. A total of 210 chemical components of XFZYD were screened out from TCMSP and docked with the key targets with the function of activating blood. Ligustrazine, acteoside, naringin, etc. were selected as the potential active components for activating blood in XFZYD. The anti-platelet aggregation activity of the combination of Chuanxiong Rhizoma, Rehmanniae Radix, Aurantii Fructus, Glycyrrhizae Radix et Rhizoma, and Carthami Flos was 9.82%±5.11%. Compared with that in the control group, the platelet aggregation induced by adenosine diphosphate(ADP) was significantly inhibited in the test group(P<0.01), which verified the accuracy of the active components. This study can guide the research on the material basis of XFZYD and provide insights into the development and utilization of the classical prescription.
Drugs, Chinese Herbal/pharmacology* ; Medicine, Chinese Traditional ; Molecular Docking Simulation ; Network Pharmacology ; Rhizome

In this study, ultra-high performance liquid chromatography-linear ion trap/electrostatic field orbit trap combined-type mass spectrometry(UPLC-LTQ-Orbitrap-MS) was used to analyze the main active components of Huangqi Guizhi Wuwu Decoction(HQGZ). A total of 50 active components were identified from HQGZ and 108 potential targets of the components related to the treatment of rheumatoid arthritis were retrieved based on network pharmacology, including 87 key targets, followed by Gene Ontology(GO) term enrichment and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment of the targets. The result indicated that HQGZ may exert therapeutic effects mainly through the sphingolipid signaling pathway, tumor necrosis factor(TNF) signaling pathway, as well as the positive regulation of ribonucleic acid(RNA) polymerase Ⅱ promoter transcription, inflammatory response and other biological processes. At the same time, cell experiment was performed to verify the key proteins in the TNF signaling pathway. The results demonstrated that HQGZ significantly reduced the expression of caspase-3(CASP3), TNF, relaxed(RELA) protein, and IkappaB kinase beta(IKBKB) in fibroblast-like synoviocytes induced by TNF-α. The results of UPLC-LTQ-Orbitrap-MS, network pharmacology and cell experiment showed that the active components in HQGZ may inhibit inflammatory response and regulate immune function and cell apoptosis by modulating key proteins in TNF signaling pathway to treat rheumatoid arthritis.
Arthritis, Rheumatoid/genetics* ; Chromatography, High Pressure Liquid ; Drugs, Chinese Herbal/pharmacology* ; Humans ; Network Pharmacology ; Synoviocytes

This study analyzed the molecular mechanism of Huangjing Qianshi Decoction(HQD) in the treatment of prediabetes based on network pharmacology and molecular docking. The active components of HQD were identified and screened based on Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP, http://Lsp.nwu.edu.cn/tcmsp.php) and then the targets of the components and the genes related to prediabetes were retrieved, followed by identifying the common targets of the decoction and the disease. The medicinal component-target network was constructed by Cytoscape to screen key components. The protein-protein interaction(PPI) network was established by STRING and hub genes were identified by Cytoscape-CytoNCA, followed by Gene Ontology(GO) term enrichment and Kyoto Encyclopedia of Genes and Genomes(KEGG) of the hub genes with R-clusterProfi-ler. Thereby, the possible signaling pathways were predicted and the molecular mechanism was deduced. A total of 79 active components of HQD and 785 diabetes-related targets of the components were screened out. The hub genes mainly involved the GO terms of tricarboxylic acid cycle, peptide binding, amide binding, hydrolase activity, and kinase activity regulation, and the KEGG pathways of AGE-RAGE signaling pathway, TNF signaling pathway, AMPK signaling pathway, IL-17 signaling pathway, and insulin signaling pathway. Western blot result showed that HQD-containing serum significantly reduced the expression of AKT1, AGE, and RAGE proteins in insulin resistance model cells. HQD's treatment of prediabetes is characterized by multiple pathways, multiple targets, and multiple levels. The main mechanism is that the components zhonghualiaoine, baicalein, kaempferol, and luteolin act on AKT1 and inhibit the AGE-RAGE axis.
Drugs, Chinese Herbal/pharmacology* ; Humans ; Medicine, Chinese Traditional ; Molecular Docking Simulation ; Network Pharmacology ; Prediabetic State/genetics*