Metabolomics combined with systematic pharmacology reveals the therapeutic effects of Salvia miltiorrhiza and Radix Pueraria lobata herb pair on type 2 diabetes rats

Metabolomics combined with network pharmacology reveals anti-asthmatic effects of Nepeta bracteata on allergic asthma rats

Objective

To investigate the mechanisms that underlie the anti-asthmatic effects of Nepeta bracteata (DBJJ, Dabao Jingjie in Chinese) in rats by integrating metabolomics and network pharmacology.

Methods

In this study, the rat model of asthma was induced by ovalbumin (OVA), and the rats were treated with a decoction of N. bracteata. Pathological changes in lung tissue were observed, and the quantification of eosinophils (EOS) and white blood cells (WBC) in bronchoalveolar lavage fluid was performed. Furthermore, the serum levels of asthma-related factors induced by OVA were assessed. 1H NMR spectroscopy serum metabolomics method was utilized to identify differential metabolites and their associated metabolic pathways. UPLC-QE-MS/MS combined with network pharmacology was employed to predict the core targets and pathways of DBJJ in its action against asthma. The anti-asthmatic properties of DBJJ were investigated using an integrated approach of metabolomics and network pharmacology. The findings were validated through molecular docking and Western blotting analysis of the key targets.

Results

The administration of DBJJ effectively alleviated OVA-induced lung histopathological changes and decreased the number of EOS and WBC in BALF. Additionally, DBJJ inhibited the OVA-induced elevation of TNF-α, IL-18, Ig-E, EOS, IL-1β, MDA, VEGF-A, and TGF-β1. A total of 21 biomarkers and 10 pathways were found by metabolomics analysis. A total of 29 compounds were identified by UPLC-QE-MS/MS, in which 13 active components were screened by oral availability and Caco-2 cell permeability, the 120 targets and 173 KEGG pathways were predicted. The integration of metabolomics and network pharmacological analysis revealed that DBJJ's main constituents, including ferulic acid and ursolic acid, exerted their effects on four targets, namely DAO and NOS2, as well as their associated metabolites and pathways. The active constituents of DBJJ demonstrated a high binding affinity towards DAO and NOS2. Furthermore, DBJJ was observed to decrease the protein expression and phosphorylation levels of NOS2, MAPK, and STAT3.

Conclusion

The administration of DBJJ demonstrates notable anti-asthma properties in rats with allergic asthma. This effect can be attributed to the modulation of various targets, including NOS2, MAPK, and STAT3, by primary constituents such as ferulic acid and ursolic acid.

Combined Network Pharmacology and Molecular Docking to Verify the Treatment of Type 2 Diabetes with Pueraria Lobata Radix and Salviae Miltiorrhizae Radix

OBJECTIVE

To explore the potential molecular mechanism of Pueraria Lobata Radix (RP) and Salviae Miltiorrhizae Radix (RS) in the treatment of type 2 diabetes mellitus (T2DM) based on network pharmacology and molecular docking.

METHODS

The chemical constituents and core targets of RP and RS were searched by Traditional Chinese Medicine System Pharmacology (TCMSP); target genes related to T2DM were obtained through GeneCards database, component target network diagram was constructed, intersection genes of active compounds and T2DM were synthesized, protein-protein interaction (PPI) relationship was obtained, and core targets were screened by using Cytoscape 3.7.2. Gene Ontology (GO) biological process and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway were analyzed utilizing R studio 4.0.4 according to David database. Based on molecular docking, the screened active components of RP and RS were verified by molecular docking with the core target using Discovery Studio 2019.

RESULTS

There were totally 92 components and 29 corresponding targets in the component target network of RP and RS drug pair, of which 6 were the core targets of RP and RS in the treatment of T2DM. Molecular docking results showed that the active compounds of puerarin, formononetin, tanshinone iia, and luteolin had better binding activity with AKT1, VEGFA, NOS3, PPARG, MMP9, and VCAM1, respectively. Among them, puerarin showed significant effects in activating NOS3 pathway and luteolin exhibited significant effects in activating MMP9 pathway, respectively. The main biological processes mainly including xenobiotic stimulus, response to peptide, gland development, response to radiation, cellular response to chemical stress, response to oxygen levels, and the main signal pathways include response to xenobiotic stimulus, cellular response to chemical stress, response to peptide, gland development, and response to oxygen levels.

CONCLUSION

Network pharmacology is an effective tool to explain the action mechanism of Traditional Chinese Medicine (TCM) from the overall perspective. RP and RS pair could alleviate T2DM via the molecular mechanism predicted by the network pharmacology, which provided new ideas and further research on the molecular mechanism of T2DM.

Potential Therapeutic Mechanism of Traditional Chinese Medicine on Diabetes in Rodents: A Review from an NMR-Based Metabolomics Perspective

Traditional Chinese medicine (TCM) has been used to treat diabetes for a long time, but its application has not been widely accepted due to unstandardized product quality and complex pharmacological mechanisms. The modernization of TCM is crucial for its further development, and in recent years the metabolomics technique has largely driven its modernization. This review focuses on the application of NMR-based metabolomics in diabetic therapy using TCM. We identified a series of metabolic pathways that altered significantly after TCM treatment, providing a better understanding of the metabolic mechanisms of TCM for diabetes care.