Investigation on the Mechanisms of Zanthoxylum bungeanum for Treating Diabetes Mellitus Based on Network Pharmacology, Molecular Docking, and Experiment Verification

Network pharmacology and molecular docking to scientifically validate the potential mechanism of Lonicerae japonicae flos in the clinical treatment of COVID-19

Using network pharmacology and molecular docking, we predicted the potential mechanisms of Lonicerae japonicae flos (LJF) therapy for COVID-19. A total of 493 component-related targets and 6,233 COVID-19-related genes were identified, and 267 core genes with overlapping of the two types of genes were identified. The target AKT1, CASP3, IL1B, IL6, PTGS2, TNF and JUN were the hub genes in PPI network according to MCODE score. Component-Target analysis showed the close relationship between targets and components. The results of functional enrichment analyses revealed that LJF exerted pharmacological effects on COVID-19 by regulating IL-17 signalling pathway, TNF signalling pathway, AGE-RAGE signalling pathway in diabetic complications, and Toll-like receptor signalling pathway. Finally, molecular docking confirmed a strong binding affinity between the 7 main active components with the hub genes. The findings suggested that beta-sitosterol, kaempferol and luteolin might be the promising leading components due to their good molecular docking scores.

The improvement of modified Si-Miao granule on hepatic insulin resistance and glycogen synthesis in type 2 diabetes mellitus involves the inhibition of TNF-α/JNK1/IRS-2 pathway: network pharmacology, molecular docking, and experimental validation

BACKGROUND

Modified Si-Miao granule (mSMG), a traditional Chinese medicine, is beneficial for T2DM and insulin resistance (IR), but the underlying mechanism remains unknown.

METHODS

Using network pharmacology, we screened the compounds of mSMG and identified its targets and pathway on hepatic IR in T2DM. Using molecular docking, we identified the affinity between the compounds and hub target TNF-α. Then these were verified in KK-Ay mice and HepG2 cells.

RESULTS

50 compounds and 170 targets of mSMG against IR in T2DM were screened, and 9 hub targets such as TNF and MAPK8 were identified. 170 targets were mainly enriched in insulin resistance and TNF pathway, so we speculated that mSMG might act on TNF-α, JNK1 and then regulate insulin signaling to mitigate IR. Experimental validation proved that mSMG ameliorated hyperglycemia, IR, and TNF-α, enhanced glucose consumption and glycogen synthesis, relieved the phosphorylation of JNK1 and IRS-2 (Ser388), and elevated the phosphorylation of Akt (Ser473) and GSK-3β (Ser9) and GLUT2 expression in KK-Ay mice. Molecular docking further showed berberine from mSMG had excellent binding capacity with TNF-α. Then, in vitro validation experiments, we found that 20% mSMG-MS or 50 μM berberine had little effect in IR-HepG2 cell viability, but significantly increased glucose consumption and glycogen synthesis and regulated TNF-α/JNK1/IRS-2 pathway.

CONCLUSION

Network pharmacology and molecular docking help us predict potential mechanism of mSMG and further guide experimental validation. mSMG and its representative compound berberine improve hepatic IR and glycogen synthesis, and its mechanism may be related to the inhibition of TNF-α/JNK1/IRS-2 pathway.

Uncovering the molecular mechanism of Mume Fructus in treatment of Sjögren's syndrome

BACKGROUND

Modern medicine has no cure for the xerostomia caused by the early onset of Sjögren's syndrome. Mume Fructus is a common Chinese herbal medicine used to relieve xerostomia. However, the molecular mechanisms of the effects of Mume Fructus are unknown. In this study, network pharmacology and molecular docking were used to investigate the mechanisms of action of Mume Fructus on Sjögren's syndrome.

MATERIALS AND METHOD

The Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform database was used to identify the active components and targets of Mume Fructus, and the UniProt database was used to identify the genes encoding these targets. SS-related targets were also identified from the GeneCards and OMIM databases. By finding the intersection of the targets of the compounds and the targets of Sjögren's syndrome, the predicted targets of Mume Fructus in the treatment of Sjögren's syndrome were obtained. Further investigation of the active compounds and their targets was carried out by constructing a network of "medicine-candidate compound-target-disease" using Cytoscape 3.7.2, the Protein-Protein Interaction network using the STRING database and Cytoscape 3.7.2, and key targets were identified by Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analysis on R software. Finally, molecular docking was used to verify the affinity of the candidate compounds to the key targets.

RESULTS

Quercetin, beta-sitosterol, and kaempferol in Mume Fructus interact with AKT1, IL-6, IL-1B, JUN, CASP3, and MAPK8. These results suggest that Mume Fructus exerts its therapeutic effects on the peripheral gland injury of Sjögren's syndrome and its secondary cardiovascular disease and tumorigenesis through anti-inflammatory, anti-oxidant, and anti-tumor pathways.

CONCLUSION

With network pharmacology, this study systematically identified the main active components, targets, and specific mechanisms of the therapeutic effects of Mume Fructus on Sjögren's syndrome, providing both a theoretical basis and research direction for further investigations on Mume Fructus.

Caffeic acid, a dietary polyphenol, pre-sensitizes pancreatic ductal adenocarcinoma to chemotherapeutic drug

Resistance to chemotherapeutics is an eminent cause that leads to search for options that help in diminution of pancreatic ductal adenocarcinoma (PDAC) by overcoming resistance issues. Caffeic acid (CFA), a polyphenol occurring in many dietary foods, is known to show antidiabetic and anticancer properties potential. To unveil the effect of CFA on PDAC, we carried out this research in PDAC cells, following which we checked the combination effect of CFA and chemotherapeutics and pre-sensitization effects of CFA. Multitudinous web-based approaches were applied for identifying CFA targets in PDAC and then getting their interconnections. Subsequently, we manifested CFA effects by in-vitro analysis showing IC50 concentrations of 37.37 and 15.06 µM on Panc-1 and Mia-PaCa-2, respectively. The combination index of CFA with different drugs was explored which showed the antagonistic effects of combination treatment leading to further investigation of the pre-sensitizing effects. CFA pre-sensitization reduced IC50 concentration of doxorubicin in both PDAC cell lines which also triggered ROS generation determined by 2',7'-dichlorofluorescin diacetate assay. The differential gene expression analysis after CFA treatment showed discrete genes affected in both cells, i.e. N-Cad and Cas9 in Panc-1 and Pi3K/AkT/mTOR along with p53 in Mia-PaCa-2. Collectively, this study investigated the role of CFA as PDAC therapeutics and explored the mechanism in mitigating resistance of PDAC by sensitizing to chemotherapeutics.Communicated by Ramaswamy H. Sarma.

Revealing the improvement of diabetes by Si Wei Jiang Huang Tang San through ERK/HIF1α signaling pathway via network pharmacology

ETHNOPHARMACOLOGICAL RELEVANCE

Si Wei Jiang Huang Tang San (SWJHTS) is a traditional Tibetan medicine prescription for the treatment of urethritis, frequent urination, and urgency, composed of four traditional Chinese medicines: Curcumae longae rhizoma, Berberidis cortex, Tribuli fructus, and Phyllanthi fructus. However, whether SWJHTS exhibits hypoglycemic efficacy and its specific mechanism remain unclear.

AIM OF THE STUDY

In this study, we aimed to investigate the anti-diabetic effects of SWJHTS and elucidate the underlying mechanism.

MATERIALS AND METHODS

HPLC-MS method was used to identify the key components of four kinds of traditional Chinese medicine (Curcumae longae rhizoma, Berberidis cortex., Tribuli fructus, and Phyllanthi fructus) which composed SWJHTS and determine their structure. Normal mice and 145 mg/kg STZ-induced type 1 diabetic mice were treated with three doses of SWJTHS by oral gavage. Body weight, 24h food and water intake, fasting blood glucose, glucose tolerance and other indicators were measured to evaluate the hypoglycemic effect of SWJHTS. OMIM, Genecards and other databases were used to collect targets of diabetes, and HPLC-MS results and TCMSP database information were used to collect drug component targets. Bioinformatics methods such as pathway enrichment analysis and molecular docking were used to predict the key targets of SWJHTS. The gene and protein expressions of HIF1α and ERK signaling pathways in HepG2 cells treated with SWJHTS were detected by RT-PCR and Western blot.

RESULTS

A total of 181 components were identified, including curcumin, palmatine, and berberine, etc. The in vivo studies showed that SWJHTS could significantly lower fasting blood glucose levels and improve the symptoms of polydipsia, polyphagia, and polyuria in diabetic mice. Furthermore, we identified HIF1α as the potential key target of SWJHTS against diabetes utilizing network pharmacology approach and in silico molecular docking. Subsequently, we experimentally confirmed that SWJHTS could suppress the high glucose-induced upregulation of HIF1α expression, which mediated the glucose consumption in HepG2 cells. The ERK signaling pathway was further found to be activated by the SWJHTS as the upstream of HIF1α.

CONCLUSIONS

SWJHTS can improve glucose metabolism by targeting the ERK/HIF1α signaling pathway; hence might be a prospective anti-diabetic drug for diabetic patients as traditional Tibetan medicine.