Network pharmacology to dissect the mechanisms of Yinlai Decoction for pneumonia

Network pharmacology combined with metabolomics to explore the mechanism for Lonicerae Japonicae flos against respiratory syncytial virus

BACKGROUND

Respiratory Syncytial Virus (RSV) stands out as a primary contributor to lower respiratory tract infections and hospitalizations, particularly in infants. Lonicerae japonicae flos (LJF), a traditional Chinese medicine renowned for its efficacy against various viral infections, including RSV, has been widely employed. Despite its common use, the precise therapeutic mechanism of LJF against RSV remains elusive. This study aimed to investigate the underlying mechanism of LJF against RSV through network pharmacology and metabolomics.

METHODS

In this study, based on network pharmacology, potential targets related to LJF and RSV were obtained from PubChem and Swiss Target Prediction. The core targets and pathways were established and verified by enrichment analysis and molecular docking. The anti-RSV efficacy of LJF was determined by in vitro experiments. Additionally, metabolomics analysis was integrated, allowing for the identification of differential metabolites and their correlation with targets following LJF treatment in the context of RSV infection.

RESULTS

A total of 23 active ingredients and 780 targets were obtained, of which 102 targets were associated with LJF anti-RSV. The construction of the corresponding Protein-Protein Interaction (PPI) network unveiled potential core targets, including STAT3, TNF, and AKT1. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed that LJF's anti-RSV effects primarily involve key pathways such as the PI3K-Akt signaling pathway, EGFR tyrosine kinase inhibitor resistance, and FoxO signaling pathway. Molecular docking showed that ZINC03978781, 4,5'-Retro-.beta.,.beta.-Carotene -3,3'-dione, 4',5'-didehydro and 7-epi-Vogeloside had better binding ability. The cellular assay showed that the therapeutic index of LJF against RSV was 4.79. Furthermore, 18 metabolites were screened as potential biomarkers of LJF against RSV, and these metabolites were mainly involved in the pathways of purine metabolism, linoleic acid metabolism, alpha-linolenic acid metabolism, and other related pathways.

CONCLUSIONS

The intergration of network pharmacology and metabolomics can clarify the active targets and related pathways of LJF against RSV, which could provide a valuable reference for further research and clinical application of LJF.

Rutin attenuates inflammation by downregulating AGE-RAGE signaling pathway in psoriasis: Network pharmacology analysis and experimental evidence

BACKGROUND

Jueyin granules (JYG) is effective against psoriasis, but its utility components are not clear. Rutin is the main monomer of JYG, its therapeutic effect and mechanism on psoriasis need to be further clarified.

PURPOSE

To explore the potential mechanisms of rutin on psoriasis through network pharmacology and experiments.

METHODS

In vitro, cell viability was determined using the CCK8 assay, and inflammatory factors were identified using RT-qPCR. The hub genes and kernel pathways of action were identified by modular pharmacology analysis. In vivo, a BALB/c mice model of psoriasis was induced by Imiquimod (IMQ). The therapeutic effect and action pathway were detected through Western Blotting, RT-qPCR, histopathologic and immunohistochemical analysis.

RESULTS

Rutin inhibited cell proliferation and expression of TNF-α and IL-6 in HaCaT cells. The hub genes include APP, INS, and TNF, while the kernel pathways contain the AGE-RAGE signaling pathway. In IMQ-induced psoriasis-like mice, rutin ameliorated skin lesions and inhibited cell proliferation. Rutin could attenuate inflammation by downregulating the AGE-RAGE signaling pathway.

CONCLUSION

This study suggests that rutin can reduce IMQ-induced psoriasis like skin inflammation in mice, and regulation of AGE-RAGE signaling pathway may be one of its potential anti-inflammatory mechanisms. Rutin has a promising therapeutic use for the treatment of psoriasis.

Determination of the synergistic anti-influenza effect of Huangqin Su tablet and Oseltamivir and investigation of mechanism of the tablet based on gut microbiota and network pharmacology

Huangqin Su (HQS) tablet is mainly composed of baicalein which has been evaluated for its ability to inhibit influenza. The present study aimed to investigate the effect of HQS and oseltamivir phosphate (OS) (single or combination therapy) on influenza-induced acute pneumonia in male and female ICR mice. The regulatory effect of HQS on gut microbiota was also studied by using 16 s rDNA sequencing, and the targets and mechanisms of HQS against influenza were comprehensively analyzed by network pharmacology. Pharmacodynamic results, including lung index and pathological changes, showed that HQS exhibited significant anti-influenza efficacy and could improve the efficacy of low-dose OS (P < 0.05 and P < 0.01, respectively). The results of 16 s rDNA sequencing revealed that HQS modulated the gut microbiota and remarkably enriched the abundance of Lactobacillus. The findings of network pharmacology research suggested that the anti-influenza mechanism of HQS was related to TLRs, MAPK, and other signal transduction pathways. Taken together, this study identified the possibility of the combined use of HQS and OS and demonstrated the role of HQS in modulating the gut microbiota of mice against influenza. Network pharmacology studies also suggested that the anti-influenza effect of HQS was related to TLRs, MAPK, TNF, and other signaling pathways.

Mechanism Investigation of Wuwei Shexiang Pills on Gouty Arthritis via Network Pharmacology, Molecule Docking, and Pharmacological Verification

Background

Gout is a common crystal-related arthritis caused by the deposition of monosodium urates (MSU). Tibetan medicine Wuwei Shexiang Pills (WSP) has been demonstrated to exhibit anti-inflammatory, antihyperuricemia, and antigout activities. However, the underlying mechanism is unknown.

Objectives

To explore the mechanisms of Wuwei Shexiang Pills on gouty arthritis via network pharmacology, molecule docking, and pharmacological verification.

Methods

The ingredients and targets of WSP were obtained by searching and screening in BATMAN-TCM and SwissADME. The targets involving the gout were acquired from public databases. The shared targets were put onto STRING to construct a PPI network. Furthermore, Metascape was applied for the GO and KEGG enrichment analysis to predict the biological processes and signaling pathways. And molecular docking was performed to validate the binding association between the key ingredients and the relative proteins of TNF signaling. Based on the serum pharmacology, the predicted antigout mechanism of WSP was validated in MSU-induced THP-1 macrophages. The levels of inflammatory cytokines and mRNA were measured by ELISA and qRT-PCR, respectively, and MAPK, NF-κB, and NLRP3 signaling-associated proteins were determined by western blot and immunofluorescence staining.

Results

48 bioactive ingredients and 165 common targets were found in WSP. The data showed that 5-Cis-Cyclopentadecen-1-One, 5-Cis-Cyclotetradecen-1-One, (-)-isoshyobunone, etc. were potential active ingredients. TNF signaling, HIF-1 signaling, and Jak-STAT signaling were predicted to be the potential pathways against gout. The molecule docking analysis found that most ingredients had a high affinity for p65, NLRP3, IL-1β, TNF-α, and p38. The data from in vitro experiment showed that WSP suppressed the production and gene expression of inflammatory cytokines. Furthermore, WSP could inhibit the activation of MAPK, NF-κB, and NLRP3 signaling pathways.

Conclusion

Our finding suggested that the antigout effect of WSP could be achieved by inhibiting MAPK, NF-κB, and NLRP3 signaling pathways. WSP might be a candidate drug for gouty treatment.

Based on UPLC/MS/MS and Bioinformatics Analysis to Explore the Difference Substances and Mechanism of Curcumae Radix (Curcuma wenyujin) in Dysmenorrhea

BACKGROUND

Curcumae Radix (CW) is traditionally used to treat dysmenorrhea caused by uterine spasm. However, the changes of its composition and anti-uterine spasms during vinegar processing and the mechanism in treating dysmenorrhea are not clear.

OBJECTIVE

To elucidate the changes of anti-uterine spasm and its substance basis, and the mechanism of treating dysmenorrhea before and after vinegar processing.

METHODS

The uterine spasm contraction model was established, and the uterine activity and its inhibition rate were calculated to evaluate the differences. The main chemical constituents of CW were quickly analyzed by UPLC-Q-TOF-MS/MS technology, and the differences between them were explored by multivariate statistical analysis. Then, the regulatory network of "active ingredients-core targets-signal pathways" related to dysmenorrhea was constructed by using network pharmacology, and the combination between differential active components and targets was verified by molecular docking.

RESULTS

CW extract relaxed the isolated uterine by reducing the contractile tension, amplitude, and frequency. Compared with CW, the inhibitory effect of vinegar products was stronger, and the inhibition rate was 70.08 %. 39 compounds were identified from CW and 13 differential components were screened out (p<0.05). Network pharmacology screened 11 active components and 32 potential targets, involving 10 key pathways related to dysmenorrhea. The results of molecular docking showed that these differentially active components had good binding activity to target.

CONCLUSION

It was preliminarily revealed that CW could treat dysmenorrhea mainly through the regulation of inflammatory reaction, relaxing smooth muscle and endocrine by curcumenone, 13-hydroxygermacrone, (+)-cuparene, caryophyllene oxide, zederone, and isocurcumenol.

Detecting Key Functional Components Group and Speculating the Potential Mechanism of Xiao-Xu-Ming Decoction in Treating Stroke

Stroke is a cerebrovascular event with cerebral blood flow interruption which is caused by occlusion or bursting of cerebral vessels. At present, the main methods in treating stroke are surgical treatment, statins, and recombinant tissue-type plasminogen activator (rt-PA). Relatively, traditional Chinese medicine (TCM) has widely been used at clinical level in China and some countries in Asia. Xiao-Xu-Ming decoction (XXMD) is a classical and widely used prescription in treating stroke in China. However, the material basis of effect and the action principle of XXMD are still not clear. To solve this issue, we designed a new system pharmacology strategy that combined targets of XXMD and the pathogenetic genes of stroke to construct a functional response space (FRS). The effective proteins from this space were determined by using a novel node importance calculation method, and then the key functional components group (KFCG) that could mediate the effective proteins was selected based on the dynamic programming strategy. The results showed that enriched pathways of effective proteins selected from FRS could cover 99.10% of enriched pathways of reference targets, which were defined by overlapping of component targets and pathogenetic genes. Targets of optimized KFCG with 56 components can be enriched into 166 pathways that covered 80.43% of 138 pathways of 1,012 pathogenetic genes. A component potential effect score (PES) calculation model was constructed to calculate the comprehensive effective score of components in the components-targets-pathways (C-T-P) network of KFCGs, and showed that ferulic acid, zingerone, and vanillic acid had the highest PESs. Prediction and docking simulations show that these components can affect stroke synergistically through genes such as MEK, NFκB, and PI3K in PI3K-Akt, cAMP, and MAPK cascade signals. Finally, ferulic acid, zingerone, and vanillic acid were tested to be protective for PC12 cells and HT22 cells in increasing cell viabilities after oxygen and glucose deprivation (OGD). Our proposed strategy could improve the accuracy on decoding KFCGs of XXMD and provide a methodologic reference for the optimization, mechanism analysis, and secondary development of the formula in TCM.

Intestinal Flora: A Potential Mechanism by Which Yinlai Decoction Treats Lipopolysaccharide-Induced Pneumonia

Background. We intended to explore the mechanism of Yinlai decoction in the treatment of lipopolysaccharide (LPS)-induced pneumonia from the perspective of intestinal flora. Methods. Thirty Sprague–Dawley rats were randomly assigned to the blank control group (N), the pneumonia group (P), and the Yinlai decoction group (PT). The rat pneumonia model was established using LPS inhalation (0.5 mg/mL, 5 mL, 30 min/day, 3 days). Yinlai decoction was administered intragastrically (2 mL/100 g, 3 days). Lung tissue pathology, organ indexes, serum inflammatory factors, tumor necrosis factor-alpha (TNF-α), and intestinal flora changes were measured. Results. Lung tissue inflammation was prevented by Yinlai decoction. IL-6 levels showed a higher tendency to be higher, and IL-12 and TNF-α were significantly higher in the PT group than in the P group. The structure of the intestinal flora in the P differed from that in the N. The relative abundance of 10 out of 12 microflora was significantly higher in the P group than in the N and PT groups. In the PT group, the structure and the distribution of microbial groups were like those of the N group. Conclusions. Yinlai decoction inhibited LPS-induced lung and systemic inflammation in rats and may help the intestinal flora restore equilibrium by inhibiting the colonization of pathogenic bacteria and adjusting the ratio between probiotics and pathogenic bacteria. Intestinal flora may serve as a mediator of Yinlai decoction’s effect on LPS-induced pneumonia.

Exploring the total flavones of Abelmoschus manihot against IAV-induced lung inflammation by network pharmacology

Background

Abelmoschus manihot (L.) Medicus (AM) is a medicinal plant with various biological activities, including anti-inflammatory, antioxidant, antiviral and immunomodulatory. Previous studies have identified total flavones as the primary bioactive ingredient of AM (termed TFA). However, its role and mechanism in counteracting Influenza A virus (IAV) infection are yet to be explored. Therefore, the study aims to study the antiviral and anti-inflammatory effects of TFA on IAV in vitro and in vivo.

Methods

A network pharmacology-based approach was applied to identify the antiviral mechanism of TFA against IAV. For the mechanism validation, the cytopathic effect reduction assay evaluated the antiviral activity of TFA in vitro. Meanwhile, the mice were intranasally infected with IAV to induce lung infection. The antiviral effect of TFA was observed in vivo. Further investigation whether the reprogramming microbiome in the TFA treatment group affected antiviral, we conducted a microbial-transfer study with co-housing experiments.

Results

By applying the network pharmacology-based methods (PPI, GO, and KEGG), we identified 167 potential targets of TFA action, among which 62 targets were related to IAV pathogenesis. A core network containing the pro-inflammatory TNFα, IL-6, IL-1β, MAPKs, and RIG-I receptor signaling pathway was further confirmed as the crucial targets for anti-influenza efficacy of TFA. We demonstrate that TFA provided profound protection against pulmonary IAV infection, which alleviated inflammatory responses, decreased MAPK signaling pathway and expedited viral eradiation.

Conclusions

Our study unveils a pivotal role for TFA in controlling viral infection and dampening pathology, making it a promising strategy for treating IAV-induced pneumonia.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12906-022-03509-0.

Verification of the Potential Targets of the Herbal Prescription Sochehwan for Drug Repurposing Processes as Deduced by Network Pharmacology

Network pharmacology (NP) is a useful, emerging means of understanding the complex pharmacological mechanisms of traditional herbal medicines. Sochehwan (SCH) is a candidate herbal prescription for drug repurposing as it has been suggested to have beneficial effects on metabolic syndrome. In this study, NP was adopted to complement the shortcomings of literature-based drug repurposing strategies in traditional herbal medicine. We conducted in vitro studies to confirm the effects of SCH on potential pharmacological targets identified by NP analysis. Herbal compounds and molecular targets of SCH were explored and screened from a traditional Chinese medicine systems pharmacology database and analysis platform (TCMSP) and an oriental medicine advanced searching integrated system (OASIS). Forty-seven key targets selected from a protein-protein interaction (PPI) network were analyzed with gene ontology (GO) term enrichment and KEGG pathway enrichment analysis to identify relevant categories. The tumor necrosis factor (TNF) and mitogen-activated protein kinase (MAPK) signaling pathways were presented as significant signaling pathways with lowest p-values by NP analysis, which were downregulated by SCH treatment. The signal transducer and activator of transcription 3 (STAT3) was identified as a core key target by NP analysis, and its phosphorylation ratio was confirmed to be significantly suppressed by SCH. In conclusion, the NP-based approach used for target prediction and experimental data obtained from Raw 264.7 cells strongly suggested that SCH can attenuate inflammatory status by modulating the phosphorylation status of STAT3.

Anti-inflammatory and immunomodulatory effects of baicalin in cerebrovascular and neurological disorders

Inflammatory responses play an extraordinary role in the pathogenesis of cerebrovascular and neurological disorders. Baicalin is one of the important flavonoids, which is extracted from Scutellaria baicalensis Georgi. Recently, numerous in vivo and in vitro studies have shown that baicalin has salutary effects for anti-inflammatory and immunomodulatory and has been demonstrated to exert beneficial therapeutic properties in cerebrovascular and neurological diseases. In this review, we aim to discuss that baicalin exerts anti-inflammatory effects through multiple pathways and targets, thus affecting the production of a variety of inflammatory cytokines and neuroprotective process of neurological diseases; furthermore, the related targets of the anti-inflammatory effects of baicalin were analyzed via using the tools of network pharmacology, to provide theoretical basis and innovative ideas for the future clinical application of baicalin.