Network pharmacology-based identification for therapeutic mechanism of Ling-Gui-Zhu-Gan decoction in the metabolic syndrome induced by antipsychotic drugs

Lingguizhugan decoction enhances autophagy of Alzheimer's disease via regulating the mTOR/ p70s6K pathway in vivo and in vitro

Introduction

Lingguizhugan decoction (LGZG) has been reported to treat Alzheimer's disease (AD) by anti-inflammatory and transporting amyloid-β (Aβ).

Methods

Using APP/PS1 transgenic mice as in vivo model and gave LGZG decoction by oral gavage. Using Aβ25-35-induced SH-SY5Y cells as in vitro model and then added LGZG medicated serum (LMS) to observe the regulatory effect of LGZG on AD autophagy-related pathways. Morris water maze (MWM) was used to evaluate the mice's learning and memory ability. Mice's hippocampus tissue sections were stained immunohistochemically to observe hippocampal Aβ deposition. Transmission electron microscopy monitored autophagosomes and autolysosomes. Western blot analysis measured protein expression levels of beclin-1, p62 and light chain 3II (LC3 II) and mTOR signaling. Results: LGZG could greatly improve learning and memory ability of APP/PS1 mice, and enhance autophagy in vitro and in vivo. LGZG increased the levels of beclin-1 and LC3 II and decreased the levels of p62.

Conclusion

LGZG enhanced autophagy and showed therapeutic potential in AD by inhibiting mTOR/p70s6K signaling.

Impact of Imperata Cylindrica polysaccharide on liver lipid metabolism disorders caused by hyperuricemia

Elevated uric acid levels are associated with lipid metabolism disorders. The effects of Imperata cylindrica polysaccharide (ICPC-a) were explored using a hyperuricemia mouse model and a uric acid-induced HepG2 hepatocyte model. ICPC-a significantly improved total cholesterol, triglycerides, low-density lipoprotein levels, and hepatic lipid deposition in hyperuricemia mice. The liver/body weight ratio decreased, and markers of liver damage, inflammation, and dyslipidemia improved. Metabolomics analysis suggested that ICPC-a modulates lipid metabolism by influencing the glycerophospholipid pathway and the enzyme LPCAT3. Stable HepG2 cell lines with knocked-down LPCAT3 were constructed, and western blot and RT-PCR were used to assess the impact of its knockdown on lipid metabolism under uric acid stimulation. In cells with reduced LPCAT3 expression, ICPC-a was still able to alleviate uric acid-induced lipid accumulation, though the effect was less pronounced compared to cells with normal LPCAT3 levels. However, the effectiveness was diminished compared to cells where LPCAT3 was not knocked down. These findings indicated that LPCAT3 was an important target through which ICPC-a regulated lipid metabolism disorders induced by hyperuricemia. These discoveries emphasized that ICPC-a, as a prebiotic, could modulate hepatic lipid accumulation and inflammation, contributing to the maintenance of hepatic lipid homeostasis.

Exploring the mechanism of Ling-Gui-Zhu-Gan decoction in metabolic cardiomyopathy via inhibiting ferroptosis

OBJECTIVE

This study was to investigate the mechanism of Ling-Gui-Zhu-Gan decoction (LGZGD) in regulating lipid metabolism and thus inhibiting ferroptosis.

METHODS

UPLC for the determination of the main chemical composition of LGZGD. A HF-induced rat model of metabolic cardiomyopathy was established. Echocardiography was used to detect cardiac function. Serum lipid levels, myocardial injury markers, and lipid peroxidation levels were detected. Pathological changes were detected. Lipid deposition was assessed by oil red O, and the mitochondrial ultrastructure was observed by electron microscopy. Mechanistically, PLIN5, CD36, ATGL, GPX4, ACSL4, FPN1, DRP1, MFF, FIS1, and OPA1 expressions were examined. After PA-induced H9c2 cells established, apoptosis, myocardial injury markers, and lipid peroxidation levels were detected and lipid deposition levels were assessed. The expressions of PLIN5, CD36, ATGL, GPX4, ACSL4 and FPN1 were detected. H9c2 cardiomyocytes with transient knockdown of PLIN5 and overexpression of PLIN5 were constructed and treated with drug administration and modeling, and the apoptosis level was detected by flow cytometry, the levels of lipid peroxidation and ROS were detected by fluorescence, and the protein and gene expressions of ACSL4 and GPX4 were detected. Results The main active components of LGZGD were liquiritin, isoliquiritin, cinnamic acid, cinnamaldehyde, glycyrrhizic acid, and atractylenolide III. LGZGD significantly improved cardiac dysfunction, lowered lipid level and lipid deposition, reduced CK, NT-proBNP and MDA levels, restored SOD levels, and improved inflammatory cell infiltration as well as collagen fiber deposition. LGZGD decreased the expression of PLIN5, CD36, ACSL4, and increased the expression of ATGL, GPX4, and FPN1. LGZGD also decreased the gene expression of DRP1, MFF, FIS1, and increased OPA1 expression. LGZGD significantly ameliorated PA-induced apoptosis, decreased lipid deposition, lowered lipid peroxidation levels and CK level, decreased PLIN5, CD36, and ACSL4 expressions, and increased ATGL, GPX4, and FPN1 expressions. LGZGD reversed cardiomyocyte injury aggravated by transient knockdown of PLIN5, decreased apoptosis levels, lipid peroxidation levels, ROS levels, and ACSL4 expressions, and increased GPX4 expression. LGZGD enhanced cardiomyocyte protection after overexpression of PLIN5, reduced apoptosis levels, lipid peroxidation level and ROS level, decreased ACSL4 expression, and increased GPX4 expression.

CONCLUSION

PLIN5 interferes with lipid peroxidation, regulates mitochondrial function, and inhibits HF-induced ferroptosis in cardiomyocytes. LGZGD ameliorates impairment of cardiac structural function in model rats through PLIN5-mediated ferroptosis pathway, and has the effect of preventing metabolic cardiomyopathy.

Multi-omics reveals protective effects of Ling Gui Zhu Gan Decoction on hyperlipidaemia in hamster

Ling Gui Zhu Gan decoction (LGZGD) is a traditional Chinese medicine (TCM) prescription that is widely used in cardiovascular disease clinical prevention and treatment with high efficacy. Recent studies have shown that LGZGD can also be used in hyperlipidemia (HL) intervention, but its pharmacodynamic material basis and its mechanisms remains unclear. This study aimed to reveal the protective effects of LGZGD on HL, elucidate the pharmacodynamic material basis. The hamster HL model was established by high-fat diet. Thereafter, non-targeted metabolomics and quantitative lipidomics were established for screening differential metabolites and pathways. Finally, the mechanisms were elucidated based on network pharmacology to screen for shared targets, which were computational selected by molecular docking. After four weeks of LGZGD administration, the TC, TG, and liver index levels decreased notably and hepatocyte injury was obviously reduced. The Multi-omics identified 62 differential metabolites and 144 differential lipids, respectively. The network pharmacology study predicted 343, 85, and 974 relevant targets from LGZGD components, HL, differential metabolites and lipids, respectively. Eventually, seven core targets were selected by molecular docking. Six key components in LGZGD, including genistein and naringenin, could play a therapeutic role in HL by regulating seven pathways, including HMGCR and PPARA. This comprehensive strategy provides a promising example and approach for further research on TCM for the treatment of lipid metabolic diseases.

Characterizing defective lipid metabolism in the lateral septum of mice treated with olanzapine: implications for its side effects

Schizophrenia significantly impacts cognitive and behavioral functions and is primarily treated with second-generation antipsychotics (SGAs) such as olanzapine. Despite their efficacy, these drugs are linked to serious metabolic side effects which can diminish patient compliance, worsen psychiatric symptoms and increase cardiovascular disease risk. This study explores the hypothesis that SGAs affect the molecular determinants of synaptic plasticity and brain activity, particularly focusing on the lateral septum (LS) and its interactions within hypothalamic circuits that regulate feeding and energy expenditure. Utilizing functional ultrasound imaging, RNA sequencing, and weighted gene co-expression network analysis, we identified significant alterations in the functional connection between the hypothalamus and LS, along with changes in gene expression in the LS of mice following prolonged olanzapine exposure. Our analysis revealed a module closely linked to increases in body weight and adiposity, featuring genes primarily involved in lipid metabolism pathways, notably Apoa1, Apoc3, and Apoh. These findings suggest that olanzapine may influence body weight and adiposity through its impact on lipid metabolism-related genes in the LS. Therefore, the neural circuits connecting the LS and LH, along with the accompanying alterations in lipid metabolism, are likely crucial factors contributing to the weight gain and metabolic side effects associated with olanzapine treatment.

Integrated Approaches Revealed the Therapeutic Mechanisms of Zuojin Pill Against Gastric Mucosa Injury in a Rat Model with Chronic Atrophic Gastritis

BACKGROUND

The Zuojin Pill (ZJP) is widely used for treating chronic atrophic gastritis (CAG) in clinical practice, effectively ameliorating symptoms such as vomiting, pain, and abdominal distension in patients. However, the underlying mechanisms of ZJP in treating CAG has not been fully elucidated.

PURPOSE

This study aimed to clarify the characteristic function of ZJP in the treatment of CAG and its potential mechanism.

METHODS

The CAG model was established by alternant administrations of ammonia solution and sodium deoxycholate, as well as an irregular diet. Therapeutic effects of ZJP on body weight, serum biochemical indexes and general condition were analyzed. HE staining and AB-PAS staining were analyzed to characterize the mucosal injury and the thickness of gastric mucosa. Furthermore, network pharmacology and molecular docking were used to predict the regulatory mechanism and main active components of ZJP in CAG treatment. RT-PCR, immunohistochemistry, immunofluorescence and Western blotting were used to measure the expression levels of apoptosis-related proteins, gastric mucosal barrier-associated proteins and PI3K/Akt signaling pathway proteins.

RESULTS

The results demonstrated that ZJP significantly improved the general state of CAG rats, alleviated weight loss and gastric histological damage and reduced the serum biochemical indicators. Network pharmacology and molecular docking found that ZJP in treating CAG by inhibiting inflammation, suppressing apoptosis, and protecting the gastric mucosal barrier via the PI3K/Akt signaling pathway. Further experiments confirmed that ZJP obviously modulated the expression of key proteins involved in gastric mucosal cell apoptosis, such as Bax, Bad, Apaf-1, cleaved-caspase-3, cleaved-caspase-9, Cytochrome C, Bcl-2, and Bcl-xl. Moreover, ZJP significantly reversed the protein expression of Occludin, ZO-1, Claudin-4 and E-cadherin.

CONCLUSION

Our study revealed that ZJP treats CAG by inhibiting the PI3K/Akt signaling pathway. This research provided a scientific basis for the rational use of ZJP in clinical practice.

Network pharmacology analysis of Chandraprabha Vati: A new hope for the treatment of Metabolic Syndrome

BACKGROUND

Drug research is increasingly using Network Pharmacology (NP) to tackle complex conditions like Metabolic Syndrome (MetS), which is characterized by obesity, hyperglycemia, and dyslipidemia. Single-action drugs are inadequate to treat MetS, which is marked by a range of complications including glucose intolerance, hyperlipidemia, mitochondrial dysfunction, and inflammation.

OBJECTIVES

To analyze Chandraprabha vati using Network Pharmacology to assess its potential in alleviating MetS-related complications.

MATERIAL AND METHODS

The genes related to MetS, inflammation, and the target genes of the CPV components were identified using network pharmacology tools like DisgNET and BindingDB. Followed by mapping of the CPV target genes with the genes implicated in MetS and inflammation to identify putative potential targets. Gene ontology, pathway enrichment analysis, and STRING database were employed for further exploration. Furthermore, drug-target-protein interactions network were visualized using Cytoscape 3.9.1.

RESULTS

The results showed that out of the 225 target genes of the CPV components, 33 overlapping and 19 non-overlapping genes could be potential targets for MetS. Similarly, 14 overlapping and 7 non-overlapping genes could be potential targets for inflammation. The CPV bioactives target genes were found to be involved in lipid and insulin homeostasis via several pathways revealed by the pathway analysis. The importance of CPV in treating MetS was supported by GO enrichment data; this could be due to its potential to influence pathways linked to metabolism, ER stress, mitochondrial dysfunction, oxidative stress, and inflammation.

CONCLUSIONS

These results offer a promising approach to developing treatment and repurposing CPV for complex conditions such as MetS.

Network pharmacology and molecular docking technology for exploring the effect and mechanism of Radix Bupleuri and Radix Paeoniae Alba herb-pair on anti-hepatitis: A review

The Radix Bupleuri and Radix Paeoniae Alba herb-pair (RRH) are the most classic compatible drug pair for the treatment of hepatitis. However, the underlying mechanism remains unclear. Therefore, network pharmacology and molecular docking were conducted to investigate the prospective therapeutic constituents, targets, and pharmacological mechanisms of RRH in the treatment of hepatitis. The active components of RRH from the TCMSP database and disease-related targets from the OMIM, PharmGkb, GeneCards, TTD, and DrugBank databases were identified. The "drug-target-disease" network diagram and protein-protein interaction (PPI) network were constructed using Cytoscape (v3.8.0) and Online STRING 11.0. GO and KEGG pathway enrichment analyses were performed using R version 4.1.2, and molecular docking was performed to verify the results. We placed 176 overlapping cross genes into Online STRING 11.0 and obtained 14 core targets. A "Component-Target-GO-KEGG" network diagram was constructed, which was composed of 7 components, 14 targets, 10 biological processes, and 10 signal pathways. A total of 2413 GO biological processes and 174 KEGG pathways were explored for hepatitis treatment. Quercetin, kaempferol, isorhamnetin, and beta-sitosterol, which are the main bioactive components, were employed to bind the disease's hub targets, ensuring fulfillment of spatial and energy matching. The anti-hepatitis mechanism of RRH may be associated with several targets including RELA, AKT1, JUN, MAPK1, TP53, CCND1, MYC, NFKBIA, CDKN1A, and their respective signaling pathways. The main bioactive components in RRH, including quercetin, kaempferol, isorhamnetin, and beta-sitosterol, were used to bind the hub targets of the disease, which may provide insights into drug development for hepatitis.

Qidan Tiaozhi capsule attenuates metabolic syndrome via activating AMPK/PINK1-Parkin-mediated mitophagy

ETHNOPHARMACOLOGICAL RELEVANCE

Qidan Tiaozhi capsule (QD), a traditional Chinese medicine, has been used to treat metabolic syndrome for over a decade. However, the mechanism of QD in the treatment of metabolic syndrome is still unknown.

AIM OF THE STUDY

Growing studies demonstrate that impaired mitophagy is one of the important causes of metabolic syndrome. Thus, this research aims to investigate the mechanism of mitophagy in the QD treatment of metabolic syndrome.

MATERIALS AND METHODS

Network pharmacology and molecular docking were used to probe the mechanism of QD treatment of metabolic syndrome. In an oleic acid-induced cell model, glucose consumption and uptake capacity, triglyceride (TG), total cholesterol (TC), malonaldehyde (MDA), superoxide dismutase (SOD) and ROS levels, and mitochondrial membrane potential (MMP) were examined. mRFP-GFP-LC3 adenovirus and GFP-LC3 lentivirus were used to examine the effect of QD on mitophagy. The IRS2-PI3K and AMPK/PINK1-Parkin signal pathways were also determined. What's more, the PINK1 gene was silenced to verify the above findings. In a high-fat diet-fed mouse model, body weight, organ indexes, OGTT, ITT, HOMA-IR, insulin sensitivity, serum MDA, SOD, TC, TG, LDL-C and HDL-C, hepatic TC, TG, LDL-C and HDL-C levels, hepatic steatosis, and IRS2-PI3K and AMPK/PINK1-Parkin signal pathways were investigated.

RESULTS

Results from network pharmacology and molecular docking suggested that QD might suppress oxidative stress to improve metabolic syndrome. In an oleic acid-induced cell model, compared with the model group, enhanced glucose consumption and uptake ability, inhibited intracellular lipid accumulation, TC, TG, MDA and ROS levels, and increased SOD level and MMP were found in QD groups. And mitophagy levels, IRS2-PI3K and AMPK/PINK1-Parkin signal pathways were promoted. Interestingly, PINK1 silencing reversed the therapeutic action of QD on oleic acid-induced cells. In high-fat diet-fed mice, inhibited body weight, abdominal fat indexes, liver indexes, HOMA-IR, serum and hepatic TC, TG and LDL-C, serum MDA and hepatic steatosis, and increased insulin sensitivity, serum and hepatic HDL-C, serum SOD, and activated IRS2-PI3K and AMPK/PINK1-Parkin signal pathways were found in QD groups.

CONCLUSION

QD activates AMPK/PINK1-Parkin-mediated mitophagy to suppress oxidative stress to treat metabolic syndrome.

The mechanism of peach kernel and safflower herb-pair for the treatment of liver fibrosis based on network pharmacology and molecular docking technology: A review

Peach kernel and safflower herb-pair (PKSH) are widely used in traditional Chinese medicine for the treatment of liver fibrosis. Therefore, network pharmacology was performed to explore potential therapeutic targets and pharmacological mechanisms of PKSH. The active components of PKSH from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform database and potential targets of liver fibrosis from the Online Mendelian Inheritance in Man, Pharmacogenetics and Pharmacogenomics Knowledge Base, GeneCards, and DrugBank Database were identified. The protein-protein interaction network was constructed using Cytoscape (v3.8.0). Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were performed for the treatment of liver fibrosis, and molecular docking was carried out to verify the results of network pharmacology analysis. After screening disease-related genes, 179 intersection genes overlapped between 196 target proteins of the active compound and 9189 potential disease targets. Furthermore, we obtained 15 hub nodes and 146 edges to establish a related network diagram using CytoNCA. 2559 Gene Ontology biological processes underlying PKSH have been explored for the treatment of liver fibrosis, in which the response to oxidative stress plays a vital role. Furthermore, Kyoto Encyclopedia of Genes and Genomes enrichment analysis revealed that PKSH might play a role in inhibiting liver fibrosis, mainly through the PI3K-Akt signaling pathway. PKSH can regulate the response to oxidative stress through the PI3K-Akt signaling pathway for the treatment of liver fibrosis. The main bioactive components in PKSH, including quercetin and luteolin, can activate the PI3K-Akt signaling pathway by binding with the hub targets of the disease, which may provide insights into drug development for liver fibrosis.

Exploring the Mechanism of Ling-Gui-Zhu-Gan Decoction in Ventricular Remodeling after Acute Myocardial Infarction Based on UPLC and In Vivo Experiments

Ventricular remodeling (VR) after acute myocardial infarction (AMI) is an important pathophysiological basis for the development of chronic heart failure (CHF). At present, Ling-Gui-Zhu-Gan decoction (LGZGD) has been widely reported in the clinical treatment and basic research of cardiovascular diseases (CVDs), such as myocardial infarction, heart failure, and angina pectoris. However, the mechanism of LGZGD against VR after AMI remains unclear. Ultra-performance liquid chromatography (UPLC) was applied to investigate the major constituents of LGZGD, and molecular docking was used to predict the targets on the NLRP3/Caspase-1/GSDMD signaling pathway. In vivo, histological changes in the myocardium were visualized using HE staining and Masson staining, and cardiomyocyte apoptosis was detected using TUNEL. IL-1β activity in rat serum was determined by ELISA. Finally, NLRP3, Caspase-1, and GSDMD expressions were analyzed through RT-qPCR and Western blotting. The results showed that 8 authentic reference substances have been detected in LGZGD. Molecular docking showed that the major chemical constituents of LGZGD had a good binding activity with NLRP3, Caspase-1, and GSDMD. Our results showed that LGZGD treatment markedly improved cardiac pathology, decreased cardiomyocyte apoptosis, reduced IL-1β activity, and regulated the expression of genes and proteins related to the NLRP3/Caspase-1/GSDMD signal pathway. These results suggest that LGZGD protects against VR after AMI through NLRP3/Caspase-1/GSDMD signal pathway.

A network pharmacology-based approach to explore mechanism of action of medicinal herbs for alopecia treatment

Hair loss is one of the most common skin problems experienced by more than half of the world's population. In East Asia, medicinal herbs have been used widely in clinical practice to treat hair loss. Recent studies, including systematic literature reviews, indicate that medicinal herbs may demonstrate potential effects for hair loss treatment. In a previous study, we identified medical herbs used frequently for alopecia treatment. Herein, we explored the potential novel therapeutic mechanisms of 20 vital medicinal herbs for alopecia treatment that could distinguish them from known mechanisms of conventional drugs using network pharmacology analysis methods. We determined the herb-ingredient–target protein networks and ingredient-associated protein (gene)-associated pathway networks and calculated the weighted degree centrality to define the strength of the connections. Data showed that 20 vital medicinal herbs could exert therapeutic effects on alopecia mainly mediated via regulation of various target genes and proteins, including acetylcholinesterase (AChE), phospholipase A2 (PLA2) subtypes, ecto-5-nucleotidase (NTE5), folate receptor (FR), nicotinamide N-methyltransferase (NNMT), and quinolinate phosphoribosyltransferase (QPRT). Findings regarding target genes/proteins and pathways of medicinal herbs associated with alopecia treatment offer insights for further research to better understand the pathogenesis and therapeutic mechanism of medicinal herbs for alopecia treatment with traditional herbal medicine.

Phytochemical Analysis Using UPLC-MS/MS Combined with Network Pharmacology Methods to Explore the Biomarkers for the Quality Control of Lingguizhugan Decoction

As a classic TCM prescription, LGZG has been widely used in clinical prevention and treatment of heart failure, nonalcoholic fatty liver, and hyperlipidemia. However, there are few studies on chemical components in recent years, and the basis of quality evaluation is not sufficient. This study was to find the active ingredients of the Lingguizhugan decoction using UPLC-MS/MS and network pharmacology. By comparing the retention time and MS dates of the reference and self-building database, the cleavage rules of chemical composition whose mass errors are less than 1 ppm(FL less than 3 ppm) are analyzed. On this basis, a network pharmacology method was used to find biomarkers for quantitative analysis. The results show that 149 compounds were preliminaries identified or inferred, including 63 flavonoids, 30 triterpenes, 22 phenylpropanoids, 13 organic acids, 6 lactones, 5 alkaloids, 4 anthraquinones, and 6 other compounds. According to the network pharmacology results, 20 chemical constituents were selected as the biomarkers, which were determined simultaneously for the first time, including poricoic acid A, poricoic acid B, glycyrrhizic acid, glycyrrhetinic acid, liquiritin, isoliquiritin, liquiritigenin, isoliquiritin apioside, cinnamic acid, caffeic acid, neochlorogenic acid, chlorogenic acid, cryptochlorogenic acid, isochlorogenic acid A, B, and C, atractylenolide I, II, and III, and coumarin. The methodological results show that the linearity, stability, precision, repeatability, and recovery of the method are satisfactory. Therefore, a comprehensive quality assessment system for LGZG was established on the basis of a systematic study of chemical substances and network pharmacology, which provided an important reference for the foundation of pharmacological action and its mechanics.

Network Pharmacology-Based Study of the Underlying Mechanisms of Huangqi Sijunzi Decoction for Alzheimer's Disease

Background

Huangqi Sijunzi decoction (HQSJZD) is a commonly used conventional Chinese herbal medicine prescription for invigorating Qi, tonifying Yang, and removing dampness. Modern pharmacology and clinical applications of HQSJZD have shown that it has a certain curative effect on Alzheimer's disease (AD).

Methods

The active components and targets of HQSJZD were searched in the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP). The genes corresponding to the targets were retrieved using UniProt and GeneCard database. The herb-compound-target network and protein-protein interaction (PPI) network were constructed by Cytoscape. The core targets of HQSJZD were analysed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). The main active compounds of HQSJZD were docked with acetylcholinesterase (AChE). In vitro experiments were conducted to detect the inhibitory and neuroprotective effects of AChE.

Results

Compound-target network mainly contained 132 compounds and 255 corresponding targets. The main compounds contained quercetin, kaempferol, formononetin, isorhamnetin, hederagenin, and calycosin. Key targets contained AChE, PTGS2, PPARG, IL-1B, GSK3B, etc. There were 1708 GO items in GO enrichment analysis and 310 signalling pathways in KEGG, mainly including the cAMP signalling pathway, the vascular endothelial growth factor (VEGF) signalling pathway, serotonergic synapses, the calcium signalling pathway, type II diabetes mellitus, arginine and proline metabolism, and the longevity regulating pathway. Molecular docking showed that hederagenin and formononetin were the top 2 compounds of HQSJZD, which had a high affinity with AChE. And formononetin has a good neuroprotective effect, which can improve the oxidative damage of nerve cells.

Conclusion

HQSJZD was found to have the potential to treat AD by targeting multiple AD-related targets. Formononetin and hederagenin in HQSJZD may regulate multiple signalling pathways through AChE, which might play a therapeutic role in AD.

Based on Network Pharmacology to Explore the Potential Bioactive Compounds and Mechanisms of Zuojin Pill for the Treatment of Ulcerative Colitis

BACKGROUND

Zuojin Pill (ZJP), a classic prescription, has the potential to prevent ulcerative colitis (UC). However, the active components and mechanisms of ZJP are still arcane. This study aimed to use a network pharmacology approach to find the bioactive compounds and potential action mechanisms of ZJP in the treatment of UC.

METHODS

Firstly, the components and putative targets of ZJP were collected based on herbal medicine target databases, and a network containing the interaction between the targets of ZJP and the potential therapeutic targets of UC was established. Then, topological parameters were calculated to identify the key targets in the network and, in turn, to import them into the David database to perform path enrichment analysis.

RESULTS

14 potential therapeutic components of ZJP and 26 key targets were obtained. These targets were related to signal transduction, MAPK cascade, inflammatory response, immune response, and the apoptotic process of UC. Moreover, the PI3K-Akt signaling pathway, MAPK signaling pathway, toll-like receptor signaling pathway, and Prolactin signaling pathway were predicted to participate in ZJP treating UC. Among them, 14 active components of ZJP directly regulate these pathways.

CONCLUSION

ZJP could alleviate UC through the predicted components and mechanisms. The 14 predicted active components of ZJP may mainly play a therapeutic role for UC through synergistic regulation of the PI3K-Akt signaling pathway and MAPK signaling pathway.

Identification of the Mechanism of Feiduqing on Viral Pneumonia Based on Network Pharmacology Analysis

Feiduqing (FDQ) is a traditional Chinese medicine formula used for many years in the treatment of viral pneumonia (VP). However, the effective components of FDQ and the mechanism by which it affects VP remain unclear. The purpose of this study is to determine the multitarget mechanism of the effect of FDQ on VP through determination and in vivo pharmacodynamics combined with network pharmacology. Firstly, the compound–target–pathway network was constructed by using TCMSP, UniProt, GeneCards, STRING, and DAVID databases through Cytoscape 3.7.0. Secondly, the content of the effective components of the original prescription of FDQ was determined. Finally, the pharmacological activity of FDQ in vivo was verified by an animal model, and the active ingredient composition (AIC), selected by network pharmacology was used for antipyretic, antiinflammatory, antitussive, and expectorant symptoms. Seven compounds of FDQ and 22 potential target genes in the treatment of VP with FDQ were identified by network pharmacology analysis. Kyoto Encyclopedia of genes and genomes enrichment analysis results indicated that the mechanism of FDQ in the treatment of VP was mainly related to pathways in cancer, hepatitis b, tumor necrosis factor (TNF) signaling pathway, Chagas disease, tuberculosis, influenza A, human T-cell leukemia virus, type 1 infection, toxoplasmosis and toll-like receptor signaling pathways, osteoclast differentiation, nonalcoholic fatty liver disease, and leishmaniasis. The results of pharmacodynamic experiments showed that FDQ and AIC possessed antipyretic, cough relieving, and reducing sputum effects. Besides, FDQ and AIC could also significantly reduce the content of prostaglandin E2, TNF-α, cyclic adenosine monophosphate, interleukin-1β, and myeloperoxidase in vivo, while increasing the content of interleukin-10 in vivo. The active ingredients of FDQ prescriptions could be accurately screened by network pharmacological analysis, as they clarified the mechanism of FDQ in the treatment of VP. The research results provided potential ideas and methods for the screening and purification of active ingredients in traditional Chinese medicine prescriptions.

Network Pharmacology Interpretation of Fuzheng-Jiedu Decoction against Colorectal Cancer

Introduction

Traditional Chinese medicine (TCM) believes that the pathogenic factors of colorectal cancer (CRC) are “deficiency, dampness, stasis, and toxin,” and Fuzheng–Jiedu Decoction (FJD) can resist these factors. In this study, we want to find out the potential targets and pathways of FJD in the treatment of CRC and also explain from a scientific point of view that FJD multidrug combination can resist “deficiency, dampness, stasis, and toxin.”

Methods

We get the composition of FJD from the TCMSP database and get its potential target. We also get the potential target of colorectal cancer according to the OMIM Database, TTD Database, GeneCards Database, CTD Database, DrugBank Database, and DisGeNET Database. Subsequently, PPI analysis, KEGG pathways analysis, and GO biological processes analysis were carried out for the target of FJD in the therapy of colorectal cancer. In addition, we have also built a relevant network diagram.

Results

In this study, we identified four core compounds of FJD in the therapy of colorectal cancer, including quercetin, kaempferol, beta-sitosterol, and stigmasterol. At the same time, we also obtained 30 core targets, including STAT3, INS, TP53, VEGFA, AKT1, TNF, IL6, JUN, EGF, CASP3, MAPK3, MAPK1, MAPK8, SRC, IGF1, CCND1, ESR1, EGFR, PTEN, MTOR, FOS, PTGS2, CXCL8, HRAS, CDH1, BCL2L1, FN1, MMP9, ERBB2, and JAK2. FJD treatment of colorectal cancer mainly involves 112 KEGG pathways, including FoxO (hsa04068) signaling pathway, PI3K-Akt (hsa04151) signaling pathway, HIF-1 (hsa04066) signaling pathway, T cell receptor (hsa04660) signaling pathway, and ErbB (hsa04012) signaling pathway. At the same time, 330 GO biological processes were summarized, including cell proliferation, cell apoptosis, angiogenesis, inflammation, and immune.

Conclusions

In this study, we found that FJD can regulate cell proliferation, apoptosis, inflammation and immunity, and angiogenesis through PI3K-Akt signaling pathway to play an anti-CRC effect.

Exploring the mechanism of Yizhi Tongmai decoction in the treatment of vascular dementia through network pharmacology and molecular docking

BACKGROUND

Vascular dementia (VaD) is a degenerative cerebrovascular disease that leads to progressive decline of patients' cognitive ability and memory. Yizhi Tongmai (YZTM) decoction is an empirical prescription first formulated by Professor Guomin Si. Our previous experiments proved the effectiveness of this prescription in the treatment of VaD. In this study, we aimed to use network pharmacology and molecular docking technology to systematically explain the potential anti-VaD mechanism of YZTM.

METHODS

We identified the core compounds of YZTM and their potential targets through the TCMSP, BATMAN, and SwissTargetPrediction databases. Then, we identified the molecular targets of YZTM in VaD using the Online Mendelian Inheritance in Man and GeneCards databases. The common targets of YZTM and VaD were screened out, and then the pathways of these target genes were analyzed using the Database for Annotation, Visualization and Integrated Discovery v6.8. Molecular docking was used to verify the relationship between the core compounds and proteins.

RESULTS

Through network pharmacology analysis, we discovered that the 5 core compounds in YZTM exert an anti-VaD effect. The potential mechanism of YZTM anti-VaD may be through inhibiting the NLRP3 inflammasome, TNF signaling pathway, and toll-like receptor signaling pathways. Subsequently, key compounds were docked with related proteins in the NLRP3 inflammasome (NLRP3, ASC, caspase-1, interleukin-18, and interleukin-1 β) using molecular docking technology. The compounds were found to spontaneously bind to the proteins.

CONCLUSIONS

YZTM may exert an anti-VaD effect through inhibition of the NLRP3 inflammasome. In addition, TNF signaling pathway and toll-like receptor signaling pathway may also be its underlying mechanism. The application of network pharmacology and molecular docking technology may provide a novel method for research of Chinese herbal medicine. YZTM may also provide a complementary treatment option for patients with VaD.

Constitution of a comprehensive phytochemical profile and network pharmacology based investigation to decipher molecular mechanisms of Teucrium polium L. in the treatment of type 2 diabetes mellitus

Background

Type 2 diabetes mellitus (T2DM) is a metabolic disease affecting a huge population worldwide. Teucrium polium L. has been used as a folk medicine for the treatment of T2DM in Anatolia, Turkey. The antihyperglycemic effect of the plant was reported previously. However, there was no detailed study on the underlying molecular mechanisms. In this study, we generated a research plan to clarify the active constituents of the extract and uncover the molecular mechanisms using network pharmacology analysis.

Methods

For this purpose, we composed a dataset of 126 compounds for the phytochemical profile of the aerial parts of T. polium. Drug-likeness of the compounds was evaluated, and 52 compounds were selected for further investigation. A total of 252 T2DM related targets hit by selected compounds were subjected to DAVID database.

Results

The KEGG pathway analysis showed enrichment for the TNF signaling pathway, insulin resistance, the HIF-1 signaling pathway, apoptosis, the PI3K-AKT signaling pathway, the FOXO signaling pathway, the insulin signaling pathway, and type 2 diabetes mellitus which are related to T2DM . AKT1, IL6, STAT3, TP53, INS, and VEGFA were found to be key targets in protein-protein interaction. Besides these key targets, with this study the role of GSK3β, GLUT4, and PDX1 were also discussed through literature and considered as important targets in the antidiabetic effect of T. polium. Various compounds of T. polium were shown to interact with the key targets activating PI3K-AKT and insulin signaling pathways.

Conclusions

According to these findings, mainly phenolic compounds were identified as the active components and IRS1/PI3K/AKT signaling and insulin resistance were identified as the main pathways regulated by T. polium. This study reveals the relationship of the compounds in T. polium with the targets of T2DM in human. Our findings suggested the use of T. polium as an effective herbal drug in the treatment of T2DM and provides new insights for further research on the antidiabetic effect of T. polium.

Deciphering the Active Ingredients and Molecular Mechanisms of Tripterygium hypoglaucum (Levl.) Hutch against Rheumatoid Arthritis Based on Network Pharmacology

Tripterygium hypoglaucum (Levl.) Hutch (THH) shows well clinical effect on rheumatoid arthritis (RA), but the active ingredients and molecular mechanisms remain unclear. This work was designed to explore these issues by network pharmacology. Compounds from THH were gathered by retrieving literatures. Compound-related and RA-related genes were identified using databases, and the overlapping genes were identified by Venn diagram. The active ingredients and genes of THH against RA were confirmed by dissecting interactions between overlapping genes and compounds using Cytoscape. SystemsDock website was used to further verify the combining degree of key genes with active ingredients. Pathway enrichment analysis was performed to decipher the mechanisms of THH against RA by Database for Annotation, Visualization and Integrated Discovery. A total of 123 compounds were collected, and 110 compounds-related and 1871 RA-related genes were identified, including 64 overlapping genes. The target genes and active ingredients of THH against RA comprised 64 genes and 17 compounds, the focus of which was PTGS2, triptolide, and celastrol. SystemsDock website indicated that the combing degree of PTGS2 with triptolide or celastrol was very good. The mechanisms of THH against RA were linked to 31 signaling pathways, and the key mechanism was related to inhibition of inflammation response through inactivating TNF and NF-kappa B signaling pathways. This work firstly explored the active ingredients and mechanisms of THH against RA by network pharmacology and provided evidence to support clinical effects of THH on RA.