LC-MS-based metabolomics reveals the in vivo effect of Shegan Mahuang Decoction in an OVA-induced rat model of airway hyperresponsiveness

Overview and limitations of database in global traditional medicines: A narrative review

The study of traditional medicine has garnered significant interest, resulting in various research areas including chemical composition analysis, pharmacological research, clinical application, and quality control. The abundance of available data has made databases increasingly essential for researchers to manage the vast amount of information and explore new drugs. In this article we provide a comprehensive overview and summary of 182 databases that are relevant to traditional medicine research, including 73 databases for chemical component analysis, 70 for pharmacology research, and 39 for clinical application and quality control from published literature (2000-2023). The review categorizes the databases by functionality, offering detailed information on websites and capacities to facilitate easier access. Moreover, this article outlines the primary function of each database, supplemented by case studies to aid in database selection. A practical test was conducted on 68 frequently used databases using keywords and functionalities, resulting in the identification of highlighted databases. This review serves as a reference for traditional medicine researchers to choose appropriate databases and also provides insights and considerations for the function and content design of future databases.

Integrated metabolomics and network pharmacology to reveal the lipid-lowering mechanisms of Qizha Shuangye granules in hyperlipidemic rats

BACKGROUND

Qizha Shuangye granules (QSG) comprise six traditional Chinese herbal medicines (TCHMs), which have a long history of treating hyperlipidemia (HLP) in China. This study aimed to evaluate the potential lipid-lowering effects of QSG in an HLP rat model and investigate possible mechanisms. The HLP rat model was induced by a high-fat diet. Lipid-related indicators in serum were detected. Serum and liver metabolites were investigated using a liquid chromatography-mass spectrometry-based metabolomics approach. A herb-compound-target-metabolite (H-C-T-M) network was further constructed to reveal the possible molecular mechanism of QSG to alleviate HLP.

RESULTS

The administration of QSG inhibited the HLP-induced changes in total cholesterol, triglyceride, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, and non-esterified fatty acid (NEFA) levels. Additionally, QSG significantly attenuated the liver histopathological changes induced by HLP. Metabolomic analysis showed the serum and liver metabolic disorders presented in HLP rats. QSG can reverse the abnormal metabolism caused by HLP. Through network pharmacology analysis, key proteins such as androgen receptor, 3-hydroxy-3-methylglutaryl-CoA reductase, and peroxisome proliferator-activated receptor-α were screened out, and they were speculated to be possible therapeutic targets for QSG to treat HLP.

CONCLUSION

The present study integrated metabolomics and network pharmacology analysis to reveal the efficacy and possible mechanism of QSG in treating HLP, which provides a new reference for the research and development of QSG as a functional food. © 2023 Society of Chemical Industry.

Multi-omics analysis of lung tissue metabolome and proteome reveals the therapeutic effect of Shegan Mahuang Decoction against asthma in rats

ETHNOPHARMACOLOGICAL RELEVANCE

Shegan Mahuang Decoction (SMD) is a classic traditional Chinese medicine (TCM) formula for asthma treatment, but the anti-asthma mechanism of SMD is still not fully studied.

AIMS OF THE STUDY

In this study, we established an ovalbumin (OVA)-induced asthma rat model and treated it with SMD to observe its anti-asthma effect and explore the related mechanism.

MATERIALS AND METHODS

We evaluated the anti-inflammatory effect of SMD via testing the levels of immunoglobulin E (IgE), C-reactive protein (CRP), interleukin-4 (IL-4), interleukin-6 (IL-6) in serum and performing the hematoxylin-eosin (H&E) staining of lung tissue slices. We analyzed the variations of metabolites and proteins in the lung tissue of different groups using liquid chromatography-mass spectrometry (LC-MS)-based untargeted metabolomics and TMT-based proteomics approaches. The metabolic biomarkers and differentially expressed proteins (DEPs) were picked, and the related signal transduction pathways were also investigated. In addition, the key proteins on the signaling pathway were validated through western blotting (WB) experiment to reveal the anti-asthma mechanism of SMD.

RESULTS

The results showed that the SMD could significantly reduce the serum levels of IgE, CRP, IL-4, and IL-6 and attenuate the OVA-induced pathological changes in lung tissue. A total of 34 metabolic biomarkers and 84 DEPs were screened from rat lung tissue, which were mainly associated with lipid metabolism, nicotinamide adenine dinucleotide phosphate (NADPH) oxidase activation, the excessive production of reactive oxygen species (ROS), and lysosome pathway. Besides, SMD could inhibit the myeloid differentiation factor 88 (MyD88)/inhibitor of kappa B kinase (IKK)/nuclear factor-kappa B (NF-κB) signaling pathway to exhibit anti-inflammatory activities.

CONCLUSIONS

SMD exhibited a therapeutic effect on asthma, which possibly be exerted by inhibiting the MyD88/IKK/NF-κB signaling pathway.

Quality markers of Dajianzhong decoction based on multicomponent qualitative and quantitative analysis combined with network pharmacology and chemometric analysis

INTRODUCTION

Dajianzhong decoction (DJZD), a classic famous prescription, has a long history of medicinal application. Modern studies have demonstrated its clinical utility in the treatment of postoperative ileus (POI). But none of the current quality evaluation methods for this compound is associated with efficacy.

OBJECTIVES

This study aimed to identify the quality markers (Q-Markers) connected to the treatment of POI in DJZD.

METHODOLOGY

Ultra-performance liquid chromatography quadrupole Exactive Orbitrap mass spectrometry (UPLC-Q-Exactive Orbitrap-MS) was used to identify the main constituents in DJZD. Based on the qualitative results obtained by fingerprinting, chemical pattern recognition (CPR) was used to analyse the key components affecting the quality and finally to establish the network of the active ingredients in DJZD with POI.

RESULTS

A total of 64 chemical components were detected. After fingerprint analysis, 13 common peaks were identified. The fingerprint similarity of 15 batches of samples ranged from 0.860 to 1.000. CPR analysis was able to categorically classify 15 batches of DJZD into two groups. And gingerenone A, methyl-6-gingerdiol, 6-gingerol, and hydroxy-β-sanshool contributed to their grouping. Twelve common components interact with the therapeutic targets for treating POI. In addition, the mechanism of this prescription for treating POI may be related to the jurisdiction of the neurological system, the immunological system, and the inflammatory response.

CONCLUSIONS

This integrated approach can accurately assess and forecast the quality of DJZD, presume the Q-Markers of DJZD for POI, and lay the foundation for studying the theoretical underpinnings and exploring the mechanism of DJZD in the treatment of POI.

Investigating the in vivo effect of Tribulus terrestris extract in middle cerebral artery occlusion rats using LC-MS-based metabolomics combined with molecular docking

Tribulus terrestris L. fruit (TT) is a traditional Chinese herbal medicine used to treat ischemic stroke (IS). This study aimed to investigate the protective effect of TT extract, named TT15, on middle cerebral artery occlusion (MCAO) rats using metabolomics and molecular docking and find the targets of action and the material basis of TT15 against IS. The results of the infarct volume and neurological defect scores confirmed the efficacy of TT15. Serum metabolomics analysis using LC-MS revealed that model group animals experienced a variety of metabolic disturbances when compared to the sham group. TT15 can restore the MCAO-induced serum metabolite changes by modulating multiple metabolic pathways. Six enzymes were highlighted by the metabolite-reaction-enzyme-gene (M-R-E-G) network analysis, which might be the possible targets for the TT15 against IS. Molecular docking analysis was applied to show the binding affinities between active compounds and these enzymes. The representative docking mode with the lowest binding energy between three compounds and phospholipase A 2 (PLA2) and peroxidase (POD) was displayed by the ribbon binding map. This study profiles the metabolic changes in MCAO-induced IS and investigates the efficacy and the corresponding mechanism of TT15 in the treatment of IS.