A stepwise integrated multi-system to screen quality markers of Chinese classic prescription Qingzao Jiufei decoction on the treatment of acute lung injury by combining 'network pharmacology-metabolomics-PK/PD modeling'

Study on the active components and mechanism of Atractylodis Macrocephalae Rhizoma for invigorating the spleen and tonifying qi based on spectrum-effect relationship and network pharmacology

Spleen deficiency can lead to various abnormal physiological functions of the spleen. Atractylodis Macrocephalae Rhizoma (AMR) is a traditional Chinese medicine used to invigorate the spleen and tonify qi. The study aimed to identify the primary active components influencing the efficacy of AMR in strengthening the spleen and replenishing qi through spectrum-effect relationship and chemometrics. Network pharmacology was used to investigate the mechanism by which AMR strengthens the spleen and replenishes qi, with molecular docking utilized for validation purposes. The findings indicated that bran-fried AMR exhibited superior efficacy, with atractylenolides and atractylone identified as the primary active constituents. Atractylenolide II emerged as the most influential component impacting the effectiveness of AMR, while the key target was androgen receptor. Furthermore, crucial pathways implicated included the mitogen-activated protein cascade (MAPK) cascade, RNA polymerase II transcription factor activity, ligand-activated sequence-specific DNA binding, and RNA polymerase II sequence-specific DNA-binding transcription factor binding. In summary, our study has identified the primary active components associated with the efficacy of AMR and has provided an initial exploration of its mechanism of action. This offers a theoretical foundation for future investigations into the material basis and molecular mechanisms underlying the pharmacodynamics of AMR.

Chemical profiles, differentiation, and quality evaluation of Radix et Rhizoma Thalictri Foliolosi based on LC-MS

Radix et Rhizoma Thalictri Foliolosi (RRTF) belongs to one of the alkaloid-rich traditional Chinese medicines in Ranunculaceae, which possesses anti-inflammatory, anti-tumor, and several other pharmacological activities. However, due to lack of research on chemical composition, serious confusion in the origin, and ambiguity in pharmacological mechanisms, it is quite urgent to establish quality control standards based on modern research and to increase the widespread usage. Aiming to clarify the differential compounds among three species of RRTF (TFD, TFB, and TCW), targeted and untargeted acquisition strategies based on high resolution mass spectrometry were established. Plant metabolomics analysis and multivariate statistical analysis were accomplished to screen out differential markers which were answerable for categorizing different species of RRTF. A network pharmacology analysis was further performed to predict the bioactive constituents and pharmacological mechanisms. Moreover, multi-components quantitative analysis under multiple reaction monitoring mode and multiple logistic regression analysis were conducted to estimate the rationality of the quality markers (Q-markers). Ultimately, the targeted alkaloid detection list was built as premise relying on alkaloid cleavage pathway, and a total 87 compounds were identified. The 25 representative differential metabolites were screened out successfully and divided into three categories to differentiate TFD, TFB, and TCW. 14 active components and 25 presumptive targets of RRTF were found to play a central role according to network pharmacology analysis. The abundance of screened 12 Q-marker showed significant differences in the three varieties. In conclusion, the study systematically investigated the material basis of RRTF, distinguished and evaluated the quality of RRTF effectively, and predicted its pharmacodynamic material basis.

Network pharmacology: a bright guiding light on the way to explore the personalized precise medication of traditional Chinese medicine

Network pharmacology can ascertain the therapeutic mechanism of drugs for treating diseases at the level of biological targets and pathways. The effective mechanism study of traditional Chinese medicine (TCM) characterized by multi-component, multi-targeted, and integrative efficacy, perfectly corresponds to the application of network pharmacology. Currently, network pharmacology has been widely utilized to clarify the mechanism of the physiological activity of TCM. In this review, we comprehensively summarize the application of network pharmacology in TCM to reveal its potential of verifying the phenotype and underlying causes of diseases, realizing the personalized and accurate application of TCM. We searched the literature using "TCM network pharmacology" and "network pharmacology" as keywords from Web of Science, PubMed, Google Scholar, as well as Chinese National Knowledge Infrastructure in the last decade. The origins, development, and application of network pharmacology are closely correlated with the study of TCM which has been applied in China for thousands of years. Network pharmacology and TCM have the same core idea and promote each other. A well-defined research strategy for network pharmacology has been utilized in several aspects of TCM research, including the elucidation of the biological basis of diseases and syndromes, the prediction of TCM targets, the screening of TCM active compounds, and the decipherment of mechanisms of TCM in treating diseases. However, several factors limit its application, such as the selection of databases and algorithms, the unstable quality of the research results, and the lack of standardization. This review aims to provide references and ideas for the research of TCM and to encourage the personalized and precise use of Chinese medicine.

Quality evaluation methods of chinese medicine based on scientific supervision: recent research progress and prospects

Traditional Chinese medicine (TCM) is increasingly getting attention worldwide, as it has played a very satisfactory role in treating COVID-19 during these past 3 years, and the Chinese government highly supports the development of TCM. The therapeutical theory and efficacies of Chinese medicine (CM) involve the safety, effectiveness and quality evaluation of CM, which requires a standard sound system. Constructing a scientific and reasonable CM quality and safety evaluation system, and establishing high-quality standards are the key cores to promote the high-quality development of CM. Through the traditional quality control methods of CM, the progress of the Q-marker research and development system proposed in recent years, this paper integrated the research ideas and methods of CM quality control and identified effective quality parameters. In addition, we also applied these effective quality parameters to create a new and supervision model for the quality control of CM. In conclusion, this review summarizes the methods and standards of quality control research used in recent years, and provides references to the quality control of CM and how researchers conduct quality control experiments.

The activities and mechanisms of intestinal microbiota metabolites of TCM herbal ingredients could be illustrated by a strategy integrating spectrum-effects, network pharmacology, metabolomics and molecular docking analysis: Platycodin D as an example

BACKGROUND

The intestinal microbiota plays a key role in understanding the mechanism of traditional Chinese medicine (TCM), as it could transform the herbal ingredients to metabolites with higher bioavailability and activity comparing to their prototypes. Nevertheless, the study of the activity and mechanism of microbiota metabolites reported by the published literature still lacks viable ways. Hence a new strategy is proposed to solve this issue.

PURPOSE

A new strategy to study the activity and mechanism of intestinal microbiota metabolites of TCM herbal ingredients by integrating spectrum-effect relationship, network pharmacology, metabolomics analysis and molecular docking together was developed and proposed.

METHOD

Platycodin D (PD) and its microbiota metabolites with antitussive and expectorant effect were selected as an example for demonstration. First, the PD and its microbiota metabolites with important contribution to antitussive and/or expectorant effects were screened through spectrum-effect relationship analysis. Second, network pharmacology and metabolomics analysis were integrated to identify the upstream key targets of PD and its microbiota metabolites as well as the downstream endogenous metabolites. Finally, the active forms of PD were further confirmed by molecular docking.

RESULTS

Results showed that PD was an active ingredient with antitussive and/or expectorant effects, and the active forms of PD were its microbiota metabolites: 3-O-β-d-glucopyranosyl platycodigenin, 3-O-β-d-glucopyranosyl isoplatycodigenin, 7‑hydroxyl-3-O-β-d-glucopyranosyl platycodigenin, platycodigenin and isoplatycodigenin. In addition, those microbiota metabolites could bind the key targets of PAH, PLA2G2A, ALOX5, CYP2C9 and CYP2D6 to exert antitussive effects by regulating four metabolic pathways of phenylalanine, tyrosine and tryptophan biosynthesis, phenylalanine metabolism, glycerophospholipid metabolism and linoleic acid metabolism. Similarly, they could also bind the key targets of PLA2G1B, ALOX5, CYP2C9 and CYP2D6 to exert expectorant effect by regulating two pathways of glycerophospholipid metabolism and linoleic acid metabolism.

CONCLUSION

The proposed strategy paves a new way for the illustration of the activities and mechanisms of TCM herbal ingredients, which is very important to reconcile the conundrums of TCM herbal ingredients with low oral bioavailability but high activity.

An integrative analysis of Qingfei Paidu Decoction for its anti-HCoV-229E mechanism in cold and damp environment based on the pharmacokinetics, metabolomics and molecular docking technology

BACKGROUND

The novel coronavirus pneumonia (COVID-19) has spread rapidly around the world. As a member against the epidemic, Qingfei Paidu Decoction (QFPDD) has been approved for the treatment of COVID-19 in China. However, its antiviral mechanism was still largely unclear.

PURPOSE

An integrated strategy was used to explore the antiviral mechanisms of QFPDD in cold and damp environment, including pharmacokinetic (PK), network pharmacology, metabolomics and protein verification.

METHODS

Firstly, the pharmacokinetic study of the prototype absorbed ingredients were analyzed by UHPLC-QqQ-MS. Secondly, the metabolomics analysis of the endogenous constituents was carried out. Based on the aforementioned results, an integrated network was constructed to identify the curative components, crucial endogenous differential metabolites and related pathways. Finally, the validation tests were implemented by molecular docking and western blotting (WB).

RESULTS

According to the pharmacokinetic behaviors analysis of 31 components in vivo, the flavonoids presented more longer residence time and higher exposure compared with the other compounds. The efficacy and antiviral mechanism of QFPDD were verified by the poly-pharmacology, metabolomics, molecular docking and WB. For the occurrence of metabolic disorder, the change of amino acid transporters should not be neglected. Afterward, 8 curative compounds, 6 key genes and corresponding metabolic pathways were filtered by compound-reaction-enzyme-gene network. The molecular docking verified that the active ingredients bound to the relevant targets well.

CONCLUSION

In the present study, an in vivo comprehensive pharmacokinetic behaviors of QFPDD was analyzed for the first time. The results illustrated that QFPDD could exhibit immune regulation, anti-infection, anti-inflammation and metabolic disorder to perform a corresponding therapeutic effect. Moreover, our findings highlighted the roles of amino acid transporters in the coronavirus infection situation.

Comparison of the Chemical Components, Efficacy and Mechanisms of Action of Chrysanthemum morifolium Flower and Its Wild Relative Chrysanthemum indicum Flower against Liver-Fire Hyperactivity Syndrome of Hypertension via Integrative Analyses

To clarify the differences in the clinical application scope of Chrysanthemum morifolium flower (CMF) and Chrysanthemum indicum flower (CIF), two herbs of similar origin, an integrated strategy of network pharmacology, molecular pharmacology, and metabolomics was employed, with a view to investigating the commonalities and dissimilarities in chemical components, efficacy and mechanisms of action. Initial HPLC-Q-TOF-MS analysis revealed that CMF and CIF had different flavonoid constituents. The biological processes underlying the therapeutic effects of CMF and CIF on liver-fire hyperactivity syndrome of hypertension (LFHSH) were predicted to be related to inflammatory response, fatty acid production, and other pathways based on network pharmacology analysis. ELISA, molecular docking, Western blot, and metabolomics techniques showed similar effects of CMF and CIF in lowering blood pressure, resistance to tissue, organ and functional damage, and dyslipidemia. However, distinct effects were found in the regulation of inflammatory response, PI3K-Akt and NF-κB signaling pathways, lipid anabolism, renin-angiotensin system, and metabolic abnormalities. The comparable efficacies of CMF and CIF, despite having distinct mechanisms of action, may be attributed to the integration and counteraction of their different regulating capabilities on the above anti-LFHSH mechanisms. This study offers a vital platform for assessment of differential and precise applications of herbs of close origin with similar but slightly different medicinal properties, and provides a research strategy for bridging Chinese medicine and modern precision medicine.

A pharmacokinetic-pharmacodynamic study to elucidate the cardiovascular protective constituents in Danhong Injection

Danhong Injection (DHI) is one of the most popular Chinese medicine formulations to treat cardiovascular diseases. However, the effective components of DHI have not been well addressed. In the present study, a pharmacokinetics-pharmacodynamics (PK-PD) approach was employed to elucidate the effective compounds of DHI for the first time. Firstly, the cardiovascular protective effect of DHI was demonstrated on an adrenaline-induced acute blood stasis rat model by echocardiography and histopathology. Secondly, the levels of four blood stasis-related cytokines in plasma were examined by ELISA. Thirdly, the plasma concentrations of 10 compounds in DHI were determined using UHPLC-Q-Orbitrap-MS. Finally, PK-PD profiles were established to describe the relationship between compound concentrations and cytokine levels in plasma at 0-12 h following DHI administration. The results showed that DHI attenuated cardiovascular injury and regulated IL-2, cTnT, VEGF, and VEGFR-1. Except for the endogenous metabolites cytidine and uridine, danshensu, rosmarinic acid, and salvianolic acid B exhibited the highest plasma exposure. PK-PD correlation analysis indicated that concentrations of salvianolic acid A, caffeic acid, and ferulic acid were negatively correlated with the level of cTnT, while the concentration of salvianolic acid A was negatively correlated with the level of IL-2. These compounds may contribute to the cardiovascular protective effect of DHI.

Action Mechanism of Zhuang Medicine Jin-mu Granules Against Chronic Pelvic Inflammatory Disease Explored Using Comprehensive Network Pharmacology and Metabolomics

Zhuang Medicine Jin-mu Granules (ZMJG) are prescriptions derived from the Zhuang nationality, which is the largest minority among 56 ethnic groups in China. They have been widely used in the treatment of chronic pelvic inflammatory disease (CPID) in Guangxi Zhuang Autonomous Region for clearing away heat and toxins, removing dampness and poisoning. CPID is a common gynecological disease of female reproductive organs and surrounding tissues and is characterized by persistent and recurrent symptoms, causing serious physical and psychological damage to the patient. Preliminary research found that ZMJG have beneficial effects on CPID model rats, but the metabolic mechanism underlying their protective effects is unclear. In this study, we used the strategy of combining network pharmacology, pharmacodynamic, and metabolomic approaches to investigate the molecular mechanisms and potential targets of ZMJG for the treatment of CPID. First, a network diagram of “medicinal materials-components-targets-pathways” based on network pharmacology was constructed to obtain a preliminary understanding of the biologically active compounds and related targets of ZMJG and clarify their molecular mechanism in CPID. Subsequently, the in vivo efficacy of ZMJG was verified in a rat model. Furthermore, we analyzed the corresponding metabolomics profile to explore the differentially induced metabolic markers and elucidate the metabolic mechanism by which ZMJG treat CPID. The results show that the therapeutic effect of ZMJG on CPID is mediated through multiple pathways, metabolic pathways, and multi-component multi-target modes, providing a detailed theoretical basis for the development and clinical application of ZMJG and a new research idea for the treatment of CPID in Chinese medicine.

Uncovering the mechanisms of dandelion against triple-negative breast cancer using a combined network pharmacology, molecular pharmacology and metabolomics approach

BACKGROUND

Taraxacum mongolicum, also called dandelion, has been used for thousands of years as a remedy for mammary abscess, mammary gland hyperplasia, and various other diseases afflicting the breast. In modern pharmacological research, dandelion has been proven to be effective against triple-negative breast cancer (TNBC). However, the mechanisms of this anti-tumor effect have not been fully elucidated.

PURPOSE

The aim of this investigation was to understand the multi-target mechanisms through which dandelion counteracts TNBC via a network pharmacology strategy as well as to validate its effectiveness by means of molecular pharmacology and metabolomics assessments.

METHODS

A liquid chromatography coupled with quadrupole time-of-flight mass spectrometer (LC-Q-TOF/MS) was employed to identify the absorbed components of dandelion in rat plasma. The network pharmacology-based prediction was utilized to uncover the potential mechanisms through which dandelion counteracts TNBC, during which potential targets were identified and pathway enrichment analysis was performed. Subsequently, TNBC cells and 4T1 tumor-bearing mice were used to further verify the molecular mechanisms of dandelion.

RESULTS

Twelve active compounds were identified in rat plasma, which were connected with 50 TNBC-related targets. The pathway enrichment showed that dandelion could treat TNBC through regulating a series of biological processes involving cell cycle and metabolism. Experimentally, flow cytometry analysis revealed that dandelion could arrest the G0/G1 and G2/M cell cycles in 4T1 cells. Further western blot analysis evidenced that the protein expression of kinase 6 (CDK6) as well as cyclins B1 and B2 in mice tumor tissue were suppressed by dandelion. In addition, cell metabolomics analysis revealed the changes in the endogenous metabolite levels that result from dandelion treatments, such as the downregulation of arginine and spermine levels. All these findings were consistent with the predicted targets and pathways.

CONCLUSION

This study comprehensively demonstrates the multi-target mechanisms of dandelion against TNBC using network pharmacology, molecular pharmacology, and metabolomics approaches. These findings will provide important stepping stones for further mechanism investigations and may lead to the development of highly effective dandelion-based treatments for TNBC.

Effect of repeated Shengmai-San administration on nifedipine pharmacokinetics and the risk/benefit under co-treatment

Herbal interactions with nifedipine/felodipine through cytochrome P450 (CYP) 3A inhibition is significant in humans. Shengmai-San (SMS), a three-herbal formula of Chinese medicine, is commonly prescribed in Asia populations for cardiovascular disorders. This study aimed to elucidate the impact of SMS on nifedipine/felodipine treatment by the findings from rat pharmacokinetic study of nifedipine to the retrospective cohort study of patients with hypertension. The 3-week SMS treatment increased the systemic exposure to nifedipine by nearly two-fold and decreased nifedipine clearance by 39% in rats. Among the ingredients of SMS component herbs, schisandrin B, schisantherin A, and methylophiopogonanone A, inhibited the nifedipine oxidation (NFO) activities of rat hepatic and intestinal microsomes, as well as human CYP3A4. Methylophiopogonanone A was identified as a time-dependent inhibitor of CYP3A4. After 1:5 propensity score matching, 4,894 patients with nifedipine/felodipine use were analyzed. In patients receiving nifedipine/felodipine, the subgroup with concurrent SMS treatment had a higher incidence of headache (92.70 per 1,000 personyears) than the subgroup without SMS treatment (51.10 per 1,000 person-years). There was a positive association between headache incidence and cumulative doses of SMS (1-60 g SMS: hazard ratio (HR): 1.39; 95% confidence interval (CI): 1.11-1.74; >60 g SMS: HR: 1.97; 95% CI: 1.62-2.39; p < 0.0001). However, patients who had higher cumulative SMS doses had a lower risk of all-cause mortality (1-60 g SMS: HR: 0.67; 95% CI: 0.47-0.94; >60 g SMS: HR: 0.54; 95% CI: 0.37-0.79; p = 0.001). Results demonstrated increased rat plasma nifedipine levels after 3-week SMS treatment and increased headache incidence should be noted in nifedipine/felodipine-treated patients with prolonged SMS administration.

Qingwenzhike Prescription Alleviates Acute Lung Injury Induced by LPS via Inhibiting TLR4/NF-kB Pathway and NLRP3 Inflammasome Activation

Background: Acute lung injury (ALI) is characterized by dysfunction of the alveolar epithelial membrane caused by acute inflammation and tissue injury. Qingwenzhike (QWZK) prescription has been demonstrated to be effective against respiratory viral infections in clinical practices, including coronavirus disease 2019 (COVID-19) infection. So far, the chemical compositions, protective effects on ALI, and possible anti-inflammatory mechanisms remain unknown.

Methods: In this study, the compositions of QWZK were determined via the linear ion trap/electrostatic field orbital trap tandem high-resolution mass spectrometry (UHPLC-LTQ-Orbitrap MS). To test the protective effects of QWZK on ALI, an ALI model induced by lipopolysaccharide (LPS) in rats was used. The effects of QWZK on the LPS-induced ALI were evaluated by pathological changes and the number and classification of white blood cell (WBC) in bronchoalveolar lavage fluid (BALF). To investigate the possible underlying mechanisms, the contents of interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), monocyte chemoattractant protein (MCP-1), interleukin-1β (IL-1β), interleukin-18 (IL-18), and immunoregulatory-related factors interferon-γ (IFN-γ) were detected by ELISA. Furthermore, the expression of Toll-like receptor 4 (TLR4), p-IKKα/β, IKKα, IKKβ, p-IκBα, IκBα, p-NF-κB, nuclear factor-κB (NF-κB), NOD-like receptor family pyrin domain containing 3 (NLRP3), cleaved caspase-1, pro-caspase-1, apoptosis-associated speck-like protein containing CARD (ASC), and β-actin were tested by Western blot.

Results: A total of 99 compounds were identified in QWZK, including 33 flavonoids, 23 phenolic acids, 3 alkaloids, 3 coumarins, 20 triterpenoids, 5 anthraquinones, and 12 others. ALI rats induced by LPS exhibited significant increase in neutrophile, significant decrease in lymphocyte, and evidently thicker alveolar wall than control animals. QWZK reversed the changes in WBC count and alveolar wall to normal level on the model of ALI induced by LPS. ELISA results revealed that QWZK significantly reduced the overexpression of proinflammatory factors IL-6, TNF-α, MCP-1, IL-1β, IL-18, and IFN-γ induced by LPS. Western blot results demonstrated that QWZK significantly downregulated the overexpression of TLR4, p-IKKα/β, p-IκBα, p-NF-κB, NLRP3, cleaved caspase-1, and ASC induced by LPS, which suggested that QWZK inhibited TLR4/NF-κB signaling pathway and NLRP3 inflammasomes.

Conclusions: The chemical compositions of QWZK were first identified. It was demonstrated that QWZK showed protective effects on ALI induced by LPS. The possible underlying mechanisms of QWZK on ALI induced by LPS was via inhibiting TLR4/NF-kB signaling pathway and NLRP3 inflammasome activation. This work suggested that QWZK is a potential therapeutic candidate for the treatments of ALI and pulmonary inflammation.

An integrated pathological research for precise diagnosis of schizophrenia combining LC-MS/1H NMR metabolomics and transcriptomics

BACKGROUND

Lack of clinically specific biomarkers has impeded the precise diagnosis of schizophrenia, meanwhile, limited comprehending of pathogenesis for schizophrenia has restricted the effective treatment.

METHOD

An integrated multi-omic approach, combining metabolomic platform (LC-MS and ¹H NMR) and transcriptomic platform, was established to differentiate healthy subjects from schizophrenia patients. Based on filtered metabolites and genes, characteristic spectrums were further built. Then, representative metabolites and genes were screened out through Boruta algorithm. Moreover, characteristic diagnostic formulas were established via LASSO regression analysis.

RESULT

As a result, 86 differential metabolites (in line with amino acid metabolism, etc.) and 189 differential expression genes (involving in amino acid metabolic process, etc.) were obtained as potential biomarkers for schizophrenia. The latent interaction between metabolites with genes, such as HMGCLL1 with energy metabolism, etc., was further studied through the analysis of pathway-based integration. Moreover, fine predictive ability was attributed to characteristic metabolomic/transcriptomic diagnostic spectrums/formulas.

CONCLUSION

The functional relationships of filtered metabolites and genes were studied, which could elaborate the pathological process of schizophrenia more systemically, supplying more precise information on mechanism description and diagnostic evidence of schizophrenia.

Protective Effect of Xiao-Xu-Ming Decoction-Mediated Inhibition of ROS/NLRP3 Axis on Lipopolysaccharide-Induced Acute Lung Injury In Vitro and In Vivo

Background

As a traditional Chinese medicine prescription, Xiao-Xu-Ming decoction (XXMD) could reduce the incidence of lung infection of patients with cerebral infarction. Nonetheless, the therapeutic mechanisms of XXMD in acute lung injury (ALI) remain to be elucidated. Our study was aimed to assess the effects of XXMD protects against ALI.

Methods

ALI model was induced by intraperitoneal injection of lipopolysaccharide (LPS) in vivo. In vitro, human pulmonary alveolar epithelial cells (HPAEpiC) were treated with XXMD and were followed by LPS treatment. The levels of ZO-1, CLDN4, NLRP3, and caspase 1 were detected by Western blot, and the content of IL-1 and IL-18 was determined by ELISA. Transepithelial electrical resistance was used to detect the cell permeability. The reactive oxygen species (ROS) levels within the cells were evaluated by flow cytometry.

Results

Our results showed that XXMD attenuated LPS-induced oxidative stress, barrier dysfunction, and the activation of NLRP3 inflammasome in vitro, as evidenced by enhanced ROS production, TEER levels, expression of NLRP3 and caspase 1 (p20) and release of IL-1β and IL-18, and weakened cell permeability. In addition, XXMD could counteract the effects of NLRP3 overexpression on HPAEpiC and vice versa. XXMD treatment also ameliorated the degree of neutrophil infiltration, barrier dysfunction, and the activation of NLRP3 in LPS-induced ALI lung tissues in vivo.

Conclusion

The findings showed that XXMD could alleviate LPS-induced ALI injury and inhibit inflammation and suppress ROS/NLRP3 signaling pathway, which were involved in these protective effects.

An integrated approach to discriminate the quality markers of Traditional Chinese medicine preparation based on multi-dimensional characteristic network: Shenqi Jiangtang Granule as a case

BACKGROUND

Due to the complexity of traditional Chinese medicine (TCM), the current quality evaluation of TCM are difficult to associate with clinical efficacy. Shenqi Jiangtang Granule (SJG), a classical TCM formula, is proven as a therapy for treatment of type II diabetes mellitus (DM) and complications while the substantial basis of the therapeutic effects is not clear.

PURPOSE

The present study proposed an integrated approach to discriminate the quality markers (Q-markers) based on multi-dimensional characteristic network for quality control of TCM.

METHODS

The multi-dimensional characteristic network was established by "Spider-web" mode, which was comprehensively integrating "compatibility-content-activity- efficiency-stability" of the candidate ingredients. The activity dimension was evaluated by the inhibitory activity of SJG on α-glucosidase and aldose reductase. The efficacy dimension was assessed through the association between the compounds and the target pathway of diabetic nephropathy (DN) based on integrated pharmacology platform. Each dimension for the feature network was quantified by multivariate statistical analysis, and regression area of the candidate compounds was constructed in the network. Finally, the candidate compounds were sorted comprehensively by the regression area.

RESULTS

A total of 30 chemical compounds with effective hypoglycemic activity were identified as the potential Q-markers. From the data analysis, three dimensions of activity, efficacy and content performed a greater impact on the regression area of the characteristic network. Among these compounds, ginsenoside Re, ginsenoside Rd, ginsenoside Rg_1, calycosin, ginsenoside Rb₁, formononetin, astragaloside IV, ginsenoside Rf, ginsenoside Rc, notoginsenoside Fe, schisandrol A, gomisin D were screened out as the candidate Q-markers of SJG.

CONCLUSION

The multi-dimensional characteristic network integrating compatibility, content, activity, efficiency and stability is efficient to discriminate the potential Q-markers of TCM prescription. Our results demonstrated that 12 candidate compounds from Panax Ginseng, Radix Astragali and Schisandrae Chinensis might select as Q-markers for qualitative evaluation of SJG.

Quassinoids from Brucea javanica and attenuates lipopolysaccharide-induced acute lung injury by inhibiting PI3K/Akt/NF-κB pathways

Four new quassinoids (1-4) and twenty known analogues (5-24) were isolated from the seeds of Brucea javanica. All the compounds belong to tetracyclic quassinoids. The structures of the new compounds were elucidated by comprehensive spectroscopic analysis, including HRESIMS and 1D, 2D NMR. In in vitro bioassays, (5-9, 17-19 and 23) showed inhibitory activities for nitric oxide (NO) release in LPS-activated MH-S macrophages and IC₅₀ values of 0.11-45.56 μM. Among them, bruceoside B significantly decreased LPS-induced NO, secretion of inflammatory factor cytokines tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6) and interleukin-1β (IL-1β). Western Blot was used to verify the expression of p-IκB-α, IκB-α, p-NF-κB, NF-κB, Bax, Bcl-2, Caspase-3, p-PI3K, PI3K, p-Akt, and Akt proteins in PI3K/Akt/NF-κB signal pathway. Bruceoside B inhibited the activity of Akt and its downstream pathways and reduced the activation of apoptotic. In vivo, it was found that bruceoside B had obvious therapeutic effect on LPS-induced acute lung injury (ALI) in mice, and the effect of tissue section was obvious. The regulatory signal pathway of bruceoside B on inflammation was consistent with the anti-inflammatory pathway in vitro. Therefore, the results implied that bruceoside B has a certain therapeutic effect on inflammation and has a certainly effect on acute lung injury.

Systematic investigation of the pharmacological mechanism of Tanreqing injection in treating respiratory diseases by UHPLC/Q-TOF-MS/MS based on multiple in-house chemical libraries coupled with network pharmacology

Tanreqing injection (TRQI), a drug approved by the National Drug Regulatory Authority of China (China SFDA, number: Z20030045), is widely used clinically to treat respiratory diseases. However, as a complex system, the pharmacological mechanism of TRQI for the treatment of respiratory diseases is still unclear. TRQI contains three Chinese medicines that make up the classic Chinese compound formulas Shuang-Huang-Lian (SHL). Moreover, it is known that SHL components are beneficial for characterizing the chemical compounds of TRQI. Therefore, in this study, we applied UHPLC/Q-TOF-MS/MS analysis based on multiple chemical compound libraries to identify the chemical profiles of TRQI and used network pharmacology to predict the potential targets of TRQI active compounds. First, three chemical libraries related to TRQI were created, including the TRQI in-house library, SHL in-house library, and targeted Metlin library. An integrated TRQI library was established by combining three chemical libraries for the identification and characterization of the chemical profiles of TRQI. Second, the potential targets of TRQI active compounds were predicted with the Swiss Target Prediction and TCMSP databases, and targets of respiratory disease were collected from the GeneCards database. Then, the network between the active compounds and common targets was established by Cytoscape 3.7.1. The common targets were imported into the STRING database to construct protein-protein interaction (PPI) networks and select core targets of TRQI against respiratory diseases. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) signaling pathway enrichment analyses of the core targets were performed by the Omicsbean analytic system and DAVID database, respectively. As a result, a total of 126 compounds were identified, and network pharmacological analysis showed that luteolin, wogonin, baicalein, chenodeoxycholic acid, l-serine, aspartic acid, oroxylin A, syringin, phenylalanine, and glutamic acid could be the active compounds of TRQI; GABBR1, MAPK3, GRM5, FOS, DRD2, GRM1, VEGFA, GRM3 and 92 other potential core targets for the treatment of respiratory diseases by modulating pathways in cancer, the calcium signaling pathway, cAMP signaling pathway, estrogen signaling pathway and TNF-α signaling pathway.

Pharmacokinetic-pharmacodynamic modeling analysis and anti-inflammatory effect of Wangbi capsule in the treatment of adjuvant-induced arthritis

Clinically, Wangbi Capsule (WBC) is widely used in the treatment of Rheumatoid arthritis (RA) because of its remarkable therapeutic effect. To reveal the mechanism, a pharmacokinetic-pharmacodynamic (PK-PD) model was developed for the first time to assess the relationship between time-concentration (dose)-effect. Freund's Complete Adjuvant was used to induce the adjuvant-induced arthritis model. Multi-indices were used to evaluate the therapeutic effect and an S-I_max PK-PD model was established based on the concentrations of osthole, 5-O-methylvisamminoside, cimifugin, albiflorin, paeoniflorin and icariin and the levels of interleukin-1β and prostaglandin E₂ using a two-compartment PK model together with a PD model with an effect-site compartment. The results suggest that WBC can treat RA by regulating the levels of prostaglandin E₂ and interleukin-1β. For the PK-PD model, the parameters indicated that WBC had a large safety margin and all six bioactive ingredients of WBC have therapeutic effects on RA. Among them icariin, osthole and 5-O-methylvisamminoside may be the main effective substances. This study provided a scientific basis for further study of population pharmacokinetics / population pharmacodynamics (PPK/PPD), to develop a reasonable administration plan and improve individualized drug therapy.