The SZT2 Interactome Unravels New Functions of the KICSTOR Complex

Seizure threshold 2 (SZT2) is a component of the KICSTOR complex which, under catabolic conditions, functions as a negative regulator in the amino acid-sensing branch of mTORC1. Mutations in this gene cause a severe neurodevelopmental and epileptic encephalopathy whose main symptoms include epilepsy, intellectual disability, and macrocephaly. As SZT2 remains one of the least characterized regulators of mTORC1, in this work we performed a systematic interactome analysis under catabolic and anabolic conditions. Besides numerous mTORC1 and AMPK signaling components, we identified clusters of proteins related to autophagy, ciliogenesis regulation, neurogenesis, and neurodegenerative processes. Moreover, analysis of SZT2 ablated cells revealed increased mTORC1 signaling activation that could be reversed by Rapamycin or Torin treatments. Strikingly, SZT2 KO cells also exhibited higher levels of autophagic components, independent of the physiological conditions tested. These results are consistent with our interactome data, in which we detected an enriched pool of selective autophagy receptors/regulators. Moreover, preliminary analyses indicated that SZT2 alters ciliogenesis. Overall, the data presented form the basis to comprehensively investigate the physiological functions of SZT2 that could explain major molecular events in the pathophysiology of developmental and epileptic encephalopathy in patients with SZT2 mutations.

MiR-125a-3p and MiR-320b Differentially Expressed in Patients with Chronic Myeloid Leukemia Treated with Allogeneic Hematopoietic Stem Cell Transplantation and Imatinib Mesylate

Chronic myeloid leukemia (CML), a hematopoietic neoplasm arising from the fusion of BCR (breakpoint cluster region) gene on chromosome 22 to the ABL (Abelson leukemia virus) gene on chromosome 9 (BCR-ABL1 oncogene), originates from a small population of leukemic stem cells with extensive capacity for self-renewal and an inflammatory microenvironment. Currently, CML treatment is based on tyrosine kinase inhibitors (TKIs). However, allogeneic hematopoietic stem cell transplantation (HSCT-allo) is currently the only effective treatment of CML. The difficulty of finding a compatible donor and high rates of morbidity and mortality limit transplantation treatment. Despite the safety and efficacy of TKIs, patients can develop resistance. Thus, microRNAs (miRNAs) play a prominent role as biomarkers and post-transcriptional regulators of gene expression. The aim of this study was to analyze the miRNA profile in CML patients who achieved cytogenetic remission after treatment with both HSCT-allo and TKI. Expression analyses of the 758 miRNAs were performed using reverse transcription quantitative polymerase chain reaction (RT-qPCR). Bioinformatics tools were used for data analysis. We detected miRNA profiles using their possible target genes and target pathways. MiR-125a-3p stood out among the downregulated miRNAs, showing an interaction network with 52 target genes. MiR-320b was the only upregulated miRNA, with an interaction network of 26 genes. The results are expected to aid future studies of miRNAs, residual leukemic cells, and prognosis in CML.

A time-resolved fluorescence resonance energy transfer screening assay for discovery of protein-protein interaction modulators

Protein-protein interactions (PPIs) have emerged as promising yet challenging therapeutic targets. A robust bioassay is required for rapid PPI modulator discovery. Here, we present a time-resolved Förster's (fluorescence) resonance energy transfer assay protocol for PPI modulator screening in a 1536-well plate format. We use hypomorph SMAD4R361H-SMAD3 PPI as an example to illustrate the application of the protocol for screening of variant-directed PPI inducers. This platform can be readily adapted for the discovery of both small-molecule PPI inducers and inhibitors. For complete details on the use and execution of this protocol, please refer to Tang et al. (2020).

Screening and Identification of Antidepressant Active Ingredients from Puerariae Radix Extract and Study on Its Mechanism

Objective. Depression is a common mental disease with long course and high recurrence rate. Previous studies showed that Puerariae Radix and its extracts have powerful antidepressant effects in recent years. The study proposed an integrated strategy, combining network pharmacology and molecular pharmacology experiment to investigate the mechanisms of the antidepressant active ingredients from Puerariae Radix. Methods. TCMSP database, GeneCards database, Venny 2.1, UniProt database, STRING database, Cytoscape 3.7.2, and Metascape database were used to screen the active chemical components, antidepressant-related genes, and core targets, convert the abbreviated gene names in batch, search and predict the interaction between proteins, and construct the PPI network of Puerariae Radix. KEGG pathway and GO biological process enrichment and biological annotation were used to select antidepressant core gene targets. The MTT method was used to detect the effect of puerarin on the damage of PC12 cells induced by corticosterone. The DCFH-DA probe and ROS assay kit were utilized to detect the production of ROS in PC12 cells. PI/Annexin V was used to detect the apoptotic rate of puerarin on PC12 cells. Western blotting was used to verify the regulation of puerarin on the key targets of AKT1, FOS, CASP3, STAT3, and TNF-α in PC12 cells. Results and Conclusion. Eight main active components, 64 potential antidepressant gene targets, and 15 core antidepressant gene targets were obtained. 35 signaling pathways and 52 biological processes related to antidepressant effect of Puerariae Radix were identified. Puerarin was the active ingredient derived from Puerariae Radix which exhibited the antidepression effect by improving the viability of cell, reducing cell apoptosis, regulating ROS production, increasing protein expressions of AKT1 and FOS, and reducing protein expressions of CASP3, STAT3, and TNF-α. The study revealed the pharmacodynamic material basis and possible antidepressant mechanism of Puerariae Radix and provided new theoretical basis and ideas for antidepressant research.

Mechanisms and molecular targets of the Yu-Ping-Feng powder for allergic rhinitis, based on network pharmacology

In traditional Chinese medicine (TCM), Yu-Ping-Feng powder (YPFP) has been used to treat allergic rhinitis (AR) for centuries. However, the mechanisms underlying its effects or its molecular targets in AR treatment are yet to be elucidated. Therefore, the active compounds of YPFP and their targets were collected and identified from the Traditional Chinese Medicine Systems Pharmacology database. Moreover, AR-associated targets were acquired from the GeneCards and Online Mendelian Inheritance in Man database. Proteins interactions network of YPFP presumed targets and AR-associated targets were examined and merged to reveal the candidate YPFP targets against AR.Cytoscape software and BisoGenet Database were employed to perform the Visualization and Integrated Discovery (Cluster Profiler R package, version: 3.8.1). Kyoto Encyclopedia of Genes and Genomes and genome pathway analyses. To identify the key target genes, a gene-pathway network has been constructed.We identified 44 effective active compounds and 622 YPFP targets. Also 1324 target genes related to AR were identified. Twenty pathways, including those of AGE-RAGE signaling, fluid shear stress, atherosclerosis, PI3K-Akt signaling, and tumor necrosis factor signaling was enriched significantly. MAPK1 was identified as the core gene, while others including RELA, AKT1, NFKBIA, IL6, and JUN, were also important in the gene-pathway network. Clearly, network pharmacology can be applied in revealing the molecular targets and mechanisms of action of complex herbal preparations.These findings suggested that YPFP could treat AR by regulating immunological functions, diminishing inflammation, and improving immunity through different pathways.

Enhanced autophagy suppresses inflammation-mediated bone loss through ROCK1 signaling in bone marrow mesenchymal stem cells

Bone marrow mesenchymal stem cells (BMSCs) have strong proliferative ability and multi-directional differentiation potential. Osteoarthritis is a degenerative joint disease that is closely related to the loss of osteogenic differentiation function of BMSCs. Autophagy, plays a crucial role in the maintenance of cellular functions, but its regulatory mechanism during the osteogenic differentiation of BMSCs remains unclear. In this study, we analyzed the differential gene networks and pathways during BMSC osteogenesis using bioinformatics, and further validated the regulatory roles of autophagy during the osteogenic differentiation of BMSCs in inflammatory condition in vitro. We found that Tumor necrosis factor alpha (TNF-α) treatment led to actin cytoskeleton rearrangements and inhibited osteogenic differentiation in BMSCs. In addition, TNF-α enhanced Rho-associated protein kinase 1 (ROCK1) expression and decreased autophagy activation. ROCK1 knockdown reduced Endoplasmic Reticulum stress (ER stress) and promoted autophagy, resulting reversion of osteogenic differentiation in BMSCs under inflammatory condition. Rapamycin reversed the TNF-α-induced decrease in osteogenesis of BMSCs, assessed by alkaline phosphatase (ALP) activity and Alizarin staining. Autophagy treated with inhibitor 3-Methyladenine (3-MA) further increased TNF-α-induced osteogenesis inhibition of BMSCs. Collectively, these results indicate that ER stress and dysfunction of autophagy promote inflammation-induced bone loss through the activation of ROCK1 signaling in BMSCs.

Genomics-guided identification of potential modulators of SARS-CoV-2 entry proteases, TMPRSS2 and Cathepsins B/L

SARS-CoV-2 requires serine protease, transmembrane serine protease 2 (TMPRSS2), and cysteine proteases, cathepsins B, L (CTSB/L) for entry into host cells. These host proteases activate the spike protein and enable SARS-CoV-2 entry. We herein performed genomic-guided gene set enrichment analysis (GSEA) to identify upstream regulatory elements altering the expression of TMPRSS2 and CTSB/L. Further, medicinal compounds were identified based on their effects on gene expression signatures of the modulators of TMPRSS2 and CTSB/L genes. Using this strategy, estradiol and retinoic acid have been identified as putative SARS-CoV-2 alleviation agents. Next, we analyzed drug-gene and gene-gene interaction networks using 809 human targets of SARS-CoV-2 proteins. The network results indicate that estradiol interacts with 370 (45%) and retinoic acid interacts with 251 (31%) human proteins. Interestingly, a combination of estradiol and retinoic acid interacts with 461 (56%) of human proteins, indicating the therapeutic benefits of drug combination therapy. Finally, molecular docking analysis suggests that both the drugs bind to TMPRSS2 and CTSL with the nanomolar to low micromolar affinity. The results suggest that these drugs can simultaneously target both the entry pathways of SARS-CoV-2 and thus can be considered as a potential treatment option for COVID-19.

Bazedoxifene, a GP130 Inhibitor, Modulates EMT Signaling and Exhibits Antitumor Effects in HPV-Positive Cervical Cancer

Persistent HPV (Human Papillomavirus) infection is the primary cause of cervical cancer. Despite the development of the HPV vaccine to prevent infections, cervical cancer is still a fatal malignant tumor and metastatic disease, and it is often difficult to treat, so a new treatment strategy is needed. The FDA-approved drug Bazedoxifene is a novel inhibitor of protein–protein interactions between IL-6 and GP130. Multiple ligand simultaneous docking and drug repositioning approaches have demonstrated that an IL-6/GP130 inhibitor can act as a selective estrogen modulator. However, the molecular basis for GP130 activation in cervical cancer remains unclear. In this study, we investigated the anticancer properties of Bazedoxifene in HPV-positive cervical cancer cells. In vitro and in vivo experiments showed that Bazedoxifene inhibited cell invasion, migration, colony formation, and tumor growth in cervical cancer cells. We also confirmed that Bazedoxifene inhibits the GP130/STAT3 pathway and suppresses the EMT (Epithelial-mesenchymal transition) sub-signal. Thus, these data not only suggest a molecular mechanism by which the GP130/STAT3 pathway may promote cancer, but also may provide a basis for cervical cancer replacement therapy.

Integrating network pharmacology and experimental models to investigate the mechanisms of dihydroartemisinin in preventing NSCLC progression via mTOR/HIF-1α signaling

Advanced Non-small cell lung cancer (NSCLC) is the most common type of lung cancer with a poor prognosis. The anti-malaria compounds dihydroartemisinin (DHA) have shown to regulate multiple targets and signaling pathways in cancers, but a global view of its mechanism of action remains elusive. In present study, we integrated network pharmacology and in vitro and in vivo experimental models to investigate the mechanisms of DHA in preventing NSCLC proliferation. We first proved that DHA inhibits the growth of lung cancer via inducing cell apoptosis and cell cycle arrest, then we integrated information from publicly available databases to predict interactions between DHA and its potential targets in NSCLC, as well as the signaling pathways involved. In this way we identified 118 common targets of DHA and NSCLC, and further analyzed with the correlation between these targets by KEGG and GO analysis. Our data indicate that mTOR/HIF-1α signaling is one of potential critical pathways involved in DHA-induced tumor inhibition in NSCLC. Finally, the data from human and mouse lung cancer cell lines and in mouse Lewis lung cancer models showed that DHA does decrease the expression level of mTOR and HIF-1α which supported the potential roles of mTOR/HIF-1α Signaling in NSCLC and deserves further investigation.

Network pharmacology integrated with experimental validation reveals the regulatory mechanism of plastrum testudinis in treating senile osteoporosis

ETHNOPHARMACOLOGICAL RELEVANCE

Plastrum testudinis (PT) has been used in traditional Chinese medicine to treat bone diseases such as senile osteoporosis (SOP) for thousands of years. However, the underlying mechanisms remain largely unknown.

AIM OF THE STUDY

This study aims to investigate the possible molecular mechanism of PT in the treatment of SOP using an integrated strategy of network pharmacology and experimental validation.

MATERIALS AND METHODS

The compounds of PT and its targets were identified through the BATMAN-TCM database. The SOP-related targets were retrieved from the GeneCards database. Protein-protein interaction information was obtained by inputting the intersection targets into the STRING database. Cytoscape software was used to construct a protein-protein interaction network and a PT-compound-target-SOP network. Using Cytoscape and R software, we conducted GO function and KEGG pathway enrichment analyses. We also conducted in vivo and in vitro experiments to verify the network pharmacology findings.

RESULTS

In total, 6 active compounds and 342 targets of PT were screened, of which 57 common targets were related to SOP. The GO biological process enrichment analysis identified 880 entries, mainly relating to the regulation of hormone response, the cell apoptotic process, the apoptotic signaling pathway, NF-kappaB transcription factor activity, fatty acid transportation, osteoclast differentiation, macrophage activation, and inflammatory response. The KEGG pathway enrichment analysis identified 52 entries, including 14 related signaling pathways, which mainly involved the TNF, MAPK, IL-17, AGE-RAGE, estrogen, relaxin, and other signaling pathways. Our in vivo experiments confirmed that PT alleviates SOP, while the in vitro experiments demonstrated that PT exerts a suppressive effect on osteoclast differentiation and bone resorption in a concentration-dependent manner. Furthermore, we observed that PT downregulates the expression of osteoclast-specific genes, including C-FOS, TNF, and BDNF, in the MAPK signaling pathway.

CONCLUSION

Through network pharmacology and experimental validation, this study is the first to report that PT downregulates the expression of osteoclast-specific genes, including C-FOS, TNF, and BDNF, in the MAPK signaling pathway, thus exerting a suppressive effect on osteoclast differentiation and bone resorption, which may be the molecular mechanism for PT treatment of SOP.

Use of Network Pharmacology to Investigate the Mechanism of the Compound Xuanju Capsule in the Treatment of Rheumatoid Arthritis

OBJECTIVE

To clarify the therapeutic mechanisms of compound Xuanju capsule-treated rheumatoid arthritis (RA) based on network pharmacology tactics.

METHOD

The TCMSP, TCMID and STITCH databases were used to screen the active ingredients and targets in the compound Xuanju capsule; the OMIM, TTD, PharmGKB and GeneCards databases were applied to screen the RA-related disease targets. Then, the obtained targets were imported into Cytoscape 3.7.1 software to construct the active ingredient-target network and the RA-related disease-target network. The active ingredient-target PPI network, the RA-related disease-target PPI network and the common target PPI network were built by using the STRING platform and Cytoscape 3.7.1 software. The GO and KEGG analyses of the common targets were analyzed by using the Metascape and Bioinformatics online tools.

RESULTS

A total of 51 active ingredients and 513 corresponding ingredient targets were harvested from the compound Xuanju capsule; 641 RA-related disease targets were obtained. After two PPI networks were constructed and merged, 116 RA-related targets of compound Xuanju capsules were identified and analyzed. 116 RA-related targets of compound Xuanju capsules are mainly involved in the biological processes and molecular functions, such as the cytokine-mediated signaling pathways, the response to lipopolysaccharide and the blood vascular development, the cytokine activity, the cytokine receptor binding and the receptor regulator activity. Furthermore, 116 RA-related targets of compound Xuanju capsules are concentrated in signaling pathways such as the IL-17, TNF, Th17 cell differentiation, Toll receptor and RA signaling pathway.

CONCLUSION

The compound Xuanju capsule had the action characteristics of multiple components, multiple targets, and multiple pathways in the treatment of RA, which might primarily reduce the release of proinflammatory factors (such as IL-6 and TNF-α) and increase the production of anti-inflammatory factors (such as IL-10) by regulating inflammation-related signaling pathways (such as IL-17), thereby alleviating the inflammatory damage and improving the bone tissue repair.

Identification of the molecular targets and mechanisms of compound mylabris capsules for hepatocellular carcinoma treatment through network pharmacology and bioinformatics analysis

ETHNOPHARMACOLOGICAL RELEVANCE

Traditional Chinese herbal formulas have been proven to exert an inhibitory effect on tumor. Compound mylabris capsules (CMC) has been used for treating cancer, especially hepatocellular carcinoma (HCC), for years in China. However, its therapeutic mechanisms on HCC remain unclear.

AIM OF THE STUDY

This research aimed to elucidate the molecular targets and mechanisms of CMC for treating HCC.

MATERIALS AND METHODS

First, the bioactive ingredients and potential targets of CMC, as well as HCC-related targets were retrieved from publicly available databases. Next, the overlapped genes between potential targets of CMC and HCC-related targets were determined using bioinformatics analysis. Then, networks of ingredient-target and gene-pathway were constructed. Finally, cell experiments were carried out to examine the effects of CMC-medicated serum on HCC and validate the core molecular targets.

RESULTS

In total, 151 bioactive ingredients and 255 potential targets of CMC were selected, 982 differentially expressed genes of HCC were identified. Among them, 34 overlapped genes were finally selected. In addition, 20 pathways and 429 GO terms were significantly enriched. Protein-protein interaction and gene-pathway networks indicated that Cyclin B1(CCNB1) and Cyclin Dependent Kinase 1(CDK1) were the core gene targets for the treatment of CMC on HCC. Moreover, in vitro studies showed that CMC-medicated serum significantly inhibited the viability of HepG2 cells. Furthermore, CMC downregulated CCNB1 and CDK1 expressions and induced G2/M phase cell cycle arrest.

CONCLUSIONS

CMC plays a therapeutic role in HCC via multi-component, -target and -pathway mechanisms, in which CCNB1 and CDK1 may be the core molecular targets. This study indicates that the integration of network pharmacology and bioinformatics analysis, followed by experimental validation, can serves as an effective tool for studying the therapeutic mechanisms of traditional Chinese medicine.

Promising Anticancer Activity of [Bis(1,8-quinolato)palladium (II)] Alone and in Combination

Due to similar coordination chemistry of palladium and platinum, a large number of palladium compounds as well have been investigated for their anticancer activity. In the present study, we describe synthesis, characterization, and anticancer activity of palladium complex [Bis(1,8-quinolato)palladium (II)], coded as NH3 against seven different cancer cell lines. NH3 is found to have higher antitumor activity than cisplatin against both parent ovarian A2780 cell line and cisplatin-resistant cell lines. Also, NH3 has the lower IC₅₀ value in HT-29 colorectal cancer cell line. The higher antitumor activity of NH3 is due to the presence of bulky 8-Hydroxyquinoline ligand, thus reducing its reactivity. Proteomic study has identified significantly expressed proteins which have been validated through bioinformatics. NH3 has been found to be less toxic than cisplatin at 2.5 mg/kg and 5 mg/kg dosages on mice models. Binary combinations of NH3 with curcumin and epigallocatechin gallate (EGCG) have demonstrated dose and sequence-dependent synergism in ovarian and colorectal cancer models. All of the preclinical studies indicate promising therapeutic potential of NH3 [Bis(1,8-quinolato)palladium (II)] as an anticancer drug.

Topological network based drug repurposing for coronavirus 2019

The COVID-19 pandemic caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has become the current health concern and threat to the entire world. Thus, the world needs the fast recognition of appropriate drugs to restrict the spread of this disease. The global effort started to identify the best drug compounds to treat COVID-19, but going through a series of clinical trials and our lack of information about the details of the virus's performance has slowed down the time to reach this goal. In this work, we try to select the subset of human proteins as candidate sets that can bind to approved drugs. Our method is based on the information on human-virus protein interaction and their effect on the biological processes of the host cells. We also define some informative topological and statistical features for proteins in the protein-protein interaction network. We evaluate our selected sets with two groups of drugs. The first group contains the experimental unapproved treatments for COVID-19, and we show that from 17 drugs in this group, 15 drugs are approved by our selected sets. The second group contains the external clinical trials for COVID-19, and we show that 85% of drugs in this group, target at least one protein of our selected sets. We also study COVID-19 associated protein sets and identify proteins that are essential to disease pathology. For this analysis, we use DAVID tools to show and compare disease-associated genes that are contributed between the COVID-19 comorbidities. Our results for shared genes show significant enrichment for cardiovascular-related, hypertension, diabetes type 2, kidney-related and lung-related diseases. In the last part of this work, we recommend 56 potential effective drugs for further research and investigation for COVID-19 treatment. Materials and implementations are available at: https://github.com/MahnazHabibi/Drug-repurposing.

Zuojin Pill ameliorates inflammation in indomethacin-induced gastric injury via inhibition of MAPK pathway

ETHNOPHARMACOLOGICAL RELEVANCE

Zuojin Pill (ZJP) has been a classic prescription for the treatment of gastrointestinal diseases in China since ancient times. But its effect on non-steroidal anti-inflammatory drugs (NSAIDs) induced gastric injury (GI) is still uncharted.

AIM OF THE STUDY

This study aims to investigate the therapeutic effect and molecular mechanism of ZJP on indomethacin (IDO) induced gastric injury.

MATERIALS AND METHODS

GI was induced in rat by oral administration of 5 mg/kg IDO. Then the rats were treated with ZJP (1.26, 2.52, 5.04 g/kg, ig). The changes of food intake, body weight, gastric pH and general state observation were carried out to determine the improvement of ZJP in IDO-induced GI: HE staining and AB-PAS staining was analyzed to characterize the thickness of gastric mucosa and micro mucosal injury; in order to elucidate the effect of ZJP on IDO-induced inflammatory injury, the inflammatory infiltration of gastric tissue was observed by MPO immunohistochemical method, and the contents of TNF-α, IL-6 and IL-10 were measured. Furthermore, the regulatory mechanism of ZJP in treating IDO-induced GI was predicted with the help of network pharmacology, and the expression levels of key proteins ERK, p-ERK, P38, p-P38, JNK, p-JNK were determined to elucidate the molecular mechanism of ZJP.

RESULTS

Current data strongly demonstrated that ZJP alleviated food intake reduction, weight loss and gastric injury caused by IDO and made gastric pH and mucosal thickness return to normal. In addition, ZJP could reduce the level of MPO to alleviate the inflammatory infiltration of gastric tissue. Simultaneously, ZJP could down regulate the expression of TNF-α and IL-6 and up regulate the expression of IL-10 to reduce the damage caused by inflammatory, and create a healing environment. Furthermore, ZJP could significantly inhibit the phosphorylation of ERK, p38 and JNK, which leaded to the increase of inflammatory factors and the damage of gastric mucosa.

CONCLUSION

ZJP improved local inflammation by inhibiting MAPK signaling pathway, and had a good therapeutic effect on IDO-induced GI. This study has reference significance for the study of ZJP in the prevention and treatment of NSAID induced gastric injury. In addition, ZJP may be a new treatment option for the prevention and treatment of NSAID induced gastric disease.

The mechanisms of action of WeiChang'An Pill (WCAP) treat diarrhoea-predominant irritable bowel syndrome (IBS-D) using network pharmacology approach and in vivo studies

ETHNOPHARMACOLOGICAL RELEVANCE

WeiChang'An Pill (WCAP) is used in Traditional Chinese Medicine (TCM) to clinically treat diarrhoea-predominant irritable bowel syndrome (IBS-D); however, the underlying pharmacological mechanisms are unclear to date.

AIM OF THE STUDY

To explore the mechanism underlying the therapeutic action of WCAP in IBS-D using a network pharmacology approach and in vivo experiments.

MATERIALS AND METHODS

The active compounds of WCAP were selected from the TCM Systems Pharmacology Database and TCM Integrated Database, and the potential targets were identified using the Swiss Target Prediction and Similarity Ensemble Approach (SEA) databases. The targets related to IBS-D were mined from the Therapeutic Target Database (TTD), National Center for Biotechnology Information Search database (NCBI), DrugBank database, and DisGeNET database. The intersecting protein-protein interactions (PPIs) of the drug-disease crossover genes were analysed, and the central PPI network was constructed using the String database, version 11.0, and Cytoscape version 3.7.2. Following Gene Ontology and Kyoto Encyclopaedia of Genes and Genomes pathway analyses, the gene-pathway network was constructed for identifying the key target genes and pathways. Based on the results and existing evidence, it was selected the cyclic adenosine monophosphate (cAMP) signalling pathway for further validation using in vivo experiments.

RESULTS

A total of 872 targets were identified from the 77 active compounds in WCAP, which shared 78 targets that were predicted to be related to IBS-D. Twenty-one core targets were identified from the PPI network, which was constructed from the common targets. The results of enrichment analysis revealed that HRT2B, ADRA1A, ADRA1D, and CHRM2 could be the key targets of WCAP in IBS-D, and 11 signalling pathways, including the neuroactive ligand-receptor interaction, calcium signalling, and cAMP signalling pathways, were identified as crucial for the therapeutic activity of WCAP in IBS-D. We also identified the possibility of several interactions and crosstalk between the different pathways. Subsequent molecular biology experiments revealed that the expression levels of cAMP, phospho-(Ser/Thr) protein kinase A substrates (p-PKA), 5-hydroxytryptamine, and proteins in the cAMP signalling pathway, including G protein-coupled receptor (GPCR), adenylyl cyclase 5 (AC5), and cAMP-response element binding protein (CREB), were significantly upregulated in rat models of IBS-D following treatment with WCAP (P < 0.05). However, a reverse trend was observed in the expression of nuclear factor kappa-B (NF-κB) (P < 0.05), which could be attributed to the low-grade inflammation that occurs in IBS-D.

CONCLUSION

We demonstrated that WCAP may alleviate the symptoms of diarrhoea and visceral sensitivity in IBS-D by regulating the cAMP signalling pathway.

Preliminary therapeutic and mechanistic evaluation of S-allylmercapto-N-acetylcysteine in the treatment of pulmonary emphysema

The objective of this work was to study the effects and mechanisms of S-allylmercapto-N-acetylcysteine (ASSNAC) in the treatment of pulmonary emphysema based on network pharmacology analysis and other techniques. Firstly, the potential targets associated with ASSNAC and COPD were integrated using public databases. Then, a protein-protein interaction network was constructed using String database and Cytoscape software. The Gene Ontology analysis and Kyoto Encyclopedia of Genes and Genomes pathway analysis were performed on DAVID platform. The molecular docking of ASSNAC with some key disease targets was implemented on the SwissDock platform. To verify the results of the network pharmacology, a pulmonary emphysema mice model was established and treated with ASSNAC. Besides, the expressions of the predicted targets were detected by immunohistochemistry, Western blot analysis or enzyme-linked immunosorbent assay. Results showed that 33 overlapping targets are achieved, including CXCL8, ICAM1, MAP2K1, PTGS2, ACE and so on. The critical pathways of ASSNAC against COPD involved arachidonic acid metabolism, chemokine pathway, MAPK pathway, renin-angiotensin system, and others. Pharmacodynamic experiments demonstrated that ASSNAC decreased the pulmonary emphysema and inflammation in the pulmonary emphysema mice. Therefore, these results confirm the perspective of network pharmacology in the target verification, and indicate the treatment potential of ASSNAC against COPD.

Network-Based Analysis of Fatal Comorbidities of COVID-19 and Potential Therapeutics

COVID-19 is a highly contagious disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The case-fatality rate is significantly higher in older patients and those with diabetes, cancer or cardiovascular disorders. The human proteins, angiotensin-converting enzyme 2 (ACE2), transmembrane protease serine 2 (TMPRSS2) and basigin (BSG), are involved in high-confidence host-pathogen interactions with SARS-CoV-2 proteins. We considered these three proteins as seed nodes and applied the random walk with restart method on the human interactome to construct a protein-protein interaction sub-network, which captures the effects of viral invasion. We found that 'Insulin resistance', 'AGE-RAGE signaling in diabetic complications' and 'adipocytokine signaling' were the common pathways associated with diabetes, cancer and cardiovascular disorders. The association of these critical pathways with aging and its related diseases explains the molecular basis of COVID-19 fatality. We further identified drugs that have effects on these proteins/pathways based on gene expression studies. We particularly focused on drugs that significantly downregulate ACE2 along with other critical proteins identified by the network-based approach. Among them, COL-3 had earlier shown activity against acute lung injury and acute respiratory distress, while entinostat and mocetinostat have been investigated for non-small-cell lung cancer. We propose that these drugs can be repurposed for COVID-19.

Network-Based Analysis of Fatal Comorbidities of COVID-19 and Potential Therapeutics

COVID-19 is a highly contagious disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The case-fatality rate is significantly higher in older patients and those with diabetes, cancer or cardiovascular disorders. The human proteins, angiotensin-converting enzyme 2 (ACE2), transmembrane protease serine 2 (TMPRSS2) and basigin (BSG), are involved in high-confidence host-pathogen interactions with SARS-CoV-2 proteins. We considered these three proteins as seed nodes and applied the random walk with restart method on the human interactome to construct a protein-protein interaction sub-network, which captures the effects of viral invasion. We found that 'Insulin resistance', 'AGE-RAGE signaling in diabetic complications' and 'adipocytokine signaling' were the common pathways associated with diabetes, cancer and cardiovascular disorders. The association of these critical pathways with aging and its related diseases explains the molecular basis of COVID-19 fatality. We further identified drugs that have effects on these proteins/pathways based on gene expression studies. We particularly focused on drugs that significantly downregulate ACE2 along with other critical proteins identified by the network-based approach. Among them, COL-3 had earlier shown activity against acute lung injury and acute respiratory distress, while entinostat and mocetinostat have been investigated for non-small-cell lung cancer. We propose that these drugs can be repurposed for COVID-19.

Semen Cuscutae-Fructus Lycii improves spermatogenic dysfunction by repairing the blood-testis barrier in rats according to in silico and in vitro methods

ETHNOPHARMACOLOGICAL RELEVANCE

Semen Cuscutae and Fructus Lycii (SC-FL) is a commonly used herbal pair for male infertility treatment. Studies have found that the mechanism of SC-FL treatment may be related to repairing the blood-testis barrier (BTB). The application of network pharmacology can be used to explore the correlation between medicines and diseases and predict the potential pharmacological mechanisms of SC-FL.

AIM OF THE STUDY

This study aimed to explore the specific effects and mechanisms of SC-FL in repairing the BTB and initially revealed the mechanism of Chinese medicine treating male infertility through network pharmacology and animal experiments.

MATERIALS AND METHODS

We searched databases using the network pharmacology method and performed mass spectrometry analysis. We analyzed and predicted the active ingredients, targets and key pathways of SC-FL in male infertility treatment. Then, we designed animal experiments to verify the results. Thirty-six Sprague-Dawley rats were randomly divided into the normal control group (NC group), spermatogenic dysfunction group (SD group) and SC-FL treatment group (SCFL group). Glucosides of Tripterygium wilfordii Hook. F (GTW) (40 mg/kg/d) was administered for 4 weeks to generate a spermatogenic dysfunction model. The rats in the SCFL group were given the SC-FL suspension (6 g/kg/d) daily. After 4 weeks of treatment, we detected the sperm quality of each group of rats and observed the cell morphology. Western blotting and qRT-PCR were used to detect the expression of BTB-related proteins in testicular tissues.

RESULTS

213 chemical ingredients of SC and FL were retrieved from the TCMSP database, and 54 effective chemical ingredients were obtained. Mass spectrometry analysis showed the above results were credible. Then, we identified 44 potential targets for the treatment of male infertility, and we plotted a network diagram of the interaction network between the core targets and a diagram of herbal medicine-active ingredient-target-disease interactions. The target genes were enriched according to biological functions, and 22 biological processes, 49 cellular components, 1487 molecular functions, and 122 signaling pathways were obtained. The results of the animal experiments showed that the sperm concentration and motility of the SCFL group were significantly improved compared with those of the SD group. Compared with those in the SD group, the structure and morphology of the Sertoli cells and seminiferous tubules of rats in the SCFL group improved, and the number of spermatogenic cells increased significantly. Western blotting and qRT-PCR results showed that compared with that in the SD group, the expression of p38 MAPK decreased significantly, and the expression of c-Jun, Occludin, ZO-1 and connexin 43 increased significantly in the SCFL group.

CONCLUSION

We predicted that the active ingredients of SC-FL can treat male infertility by interacting with the core targets JUN, IL6, MAPK1, TP53, MYC, CCND1, AR, EGF, FOS, and MAPK8, and the possible mechanism is related to the MAPK signaling pathway. SC-FL can regulate the MAPK pathway and affect the expression of Occludin, ZO-1 and connexin 43 to repair damaged BTB and improve spermatogenic dysfunction induced by GTW, which may be one of the possible mechanisms.

A network pharmacology approach to determine the underlying mechanisms of action of Yishen Tongluo formula for the treatment of oligoasthenozoospermia

Oligoasthenozoospermia is a complex disease caused by a variety of factors, and its incidence is increasing yearly worldwide. Yishen Tongluo formula (YSTLF), created by Professor Sun Zixue, has been used to treat oligoasthenozoospermia in clinical practice for several decades with a good therapeutic effect. However, the chemical and pharmacological profiles of YSTLF remain unclear and need to be elucidated. In this study, a network pharmacology approach was applied to explore the potential mechanisms of YSTLF in oligoasthenozoospermia treatment. All of the compounds in YSTLF were retrieved from the corresponding databases, and the bioactive ingredients were screened according to their oral bioavailability (OB) and drug-likeness (DL). The potential proteins of YSTLF were obtained from the traditional Chinese medicine systems pharmacology (TCMSP) database and the Bioinformatics Analysis Tool for Molecular Mechanism of Traditional Chinese Medicine (BATMAN-TCM) database, while the potential genes of oligoasthenozoospermia were obtained from the GeneCards database and the DisGeNET database. The STRING database was used to construct an interaction network according to the common targets identified by the online tool Venny for YSTLF and oligoasthenozoospermia. The topological characteristics of nodes were visualized and analyzed through Cytoscape. Biological functions and significant pathways were determined and analyzed using the Gene Ontology (GO) knowledgebase, the Kyoto Encyclopedia of Genes and Genomes (KEGG) and Metascape. Finally, the disease-formula-compound-target-pathway network was constructed by Cytoscape. A total of 106 bioactive ingredients and 134 potential targets from YSTLF were associated with oligoasthenozoospermia or considered to be therapeutically relevant. Pathway analysis indicated that the PI3K/Akt, MAPK and apoptosis signaling pathways were significant pathways involved in oligoasthenozoospermia. In conclusion, the current study expounded the pharmacological actions and molecular mechanisms of YSTLF in treating oligoasthenozoospermia from a holistic viewpoint. The potential molecular mechanisms were closely related to antioxidative stress, antiapoptosis and anti-inflammation, with TNF, CCND1, ESR1, NFKBIA, NR3C1, MAPK8, and IL6 being possible targets. This network pharmacology prediction may offer a helpful tool to illustrate the molecular mechanisms of the Chinese herbal compound YSTLF in oligoasthenozoospermia treatment.

Significant Inactivation of SARS-CoV-2 In Vitro by a Green Tea Catechin, a Catechin-Derivative, and Black Tea Galloylated Theaflavins

Potential effects of tea and its constituents on SARS-CoV-2 infection were assessed in vitro. Infectivity of SARS-CoV-2 was decreased to 1/100 to undetectable levels after a treatment with black tea, green tea, roasted green tea, or oolong tea for 1 min. An addition of (-) epigallocatechin gallate (EGCG) significantly inactivated SARS-CoV-2, while the same concentration of theasinensin A (TSA) and galloylated theaflavins including theaflavin 3,3'-di-O-gallate (TFDG) had more remarkable anti-viral activities. EGCG, TSA, and TFDG at 1 mM, 40 µM, and 60 µM, respectively, which are comparable to the concentrations of these compounds in tea beverages, significantly reduced infectivity of the virus, viral RNA replication in cells, and secondary virus production from the cells. EGCG, TSA, and TFDG significantly inhibited interaction between recombinant ACE2 and RBD of S protein. These results suggest potential usefulness of tea in prevention of person-to-person transmission of the novel coronavirus.

Targeting SARS-CoV-2 Spike Protein/ACE2 Protein-Protein Interactions: a Computational Study

The spike glycoprotein (S) of the SARS-CoV-2 virus surface plays a key role in receptor binding and virus entry. The S protein uses the angiotensin converting enzyme (ACE2) for entry into the host cell and binding to ACE2 occurs at the receptor binding domain (RBD) of the S protein. Therefore, the protein-protein interactions (PPIs) between the SARS-CoV-2 RBD and human ACE2, could be attractive therapeutic targets for drug discovery approaches designed to inhibit the entry of SARS-CoV-2 into the host cells. Herein, with the support of machine learning approaches, we report structure-based virtual screening as an effective strategy to discover PPIs inhibitors from ZINC database. The proposed computational protocol led to the identification of a promising scaffold which was selected for subsequent binding mode analysis and that can represent a useful starting point for the development of new treatments of the SARS-CoV-2 infection.

The important role of MDM2, RPL5, and TP53 in mycophenolic acid-induced cleft lip and palate

Mycophenolate embryopathy (MPE) is a mycophenolic acid (MPA)-induced congenital malformation with distinctive symptoms. Cleft lip/palate (CLP) is one of the most common symptoms of MPE. The aim of this study was to screen and verify hub genes involved in MPA-induced CLP and to explore the potential molecular mechanisms underlying MPE.Overlapping genes related to MPA and CLP were obtained from the GeneCards database. These genes were further analyzed via bioinformatics. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis results were visualized with the Cytoscape ClueGO plug-in. Gene protein-protein interaction (PPI) networks were constructed based on data obtained from the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database.Overall, 58 genes related to MPA and CLP were identified. The genes most relevant to MPA-induced CLP included ABCB1, COL1A1, Rac1, TGFβ1, EDN1, and TP53, as well as the TP53-associated genes MDM2 and RPL5. GO analysis demonstrated gene enrichment regarding such terms as ear, mesenchymal, striated muscle, and ureteric development. KEGG analysis demonstrated gene enrichment in such pathways as the HIF-1 signaling pathway, glycosylphosphatidylinositol-anchor biosynthesis, the TNF signaling pathway, and hematopoietic stem cell development.Bioinformatic analysis was performed on the genes currently known to be associated with MPA-induced CLP pathogenesis. MPA-induced CLP is mediated by multiple ribosome stress related genes and pathways. MDM2, RPL5 and TP53 could be the main contributor in this pathogenesis, along with several other genes. ABCB1 polymorphism could be related to the probability of MPA-induced CLP.

Activity Components from Gynostemma pentaphyllum for Preventing Hepatic Fibrosis and of Its Molecular Targets by Network Pharmacology Approach

Hepatic fibrosis would develop into cirrhosis or cancer without treating. Hence, it is necessary to study the mechanism and prevention methods for hepatic fibrosis. Gynostemma pentaphyllum is a traditional medicinal material with a high medicinal and health value. In this study, nineteen compounds obtained from G. pentaphyllum were qualitative and quantitative by HPLC-FT-ICR MS and HPLC-UV, respectively. Among them, the total content of 19 gypenosides accurately quantified reaches 72.21 mg/g and their anti-proliferation against t-HSC/Cl-6 cells indicated compound 19 performed better activity (IC50: 28.1 ± 2.0 μM) than the other compounds. Further network pharmacology study demonstrated that compound 19 mainly plays an anti-fibrosis role by regulating the EGFR signaling pathway, and the PI3K-Akt signaling pathway. Overall, the verification result indicated that compound 19 appeared to be nontoxic to LO2, was able to modulate the PI3K/Akt signal, led to subG1 cells cycle arrest and the activation of mitochondrial-mediated apoptosis of t-HSC/Cl-6 cells for anti-hepatic fibrosis.