AKT1 Target Research Articles

Evidence of synergistic mechanisms of hepatoprotective botanical herbal preparation of Pueraria montana var. lobata and Schisandra sphenanthera.

Pueraria montana var. lobata (Willd.) Maesen & S.M.Almeida ex Sanjappa & Predeep (syn. Pueraria lobata (Willd.) Ohwi) and Schisandra sphenanthera Rehder & E.H. Wilson are traditional edible and medicinal hepatoprotective botanical drugs. Studies have shown that the combination of two botanical drugs enhanced the effects of treating acute liver injury (ALI), but the synergistic effect and its action mechanisms remain unclear. This study aimed to investigate the synergistic effect and its mechanism of the combination of Pueraria montana var. lobata (Willd.) Maesen & S.M.Almeida ex Sanjappa & Predeep (syn. Pueraria lobata (Willd.) Ohwi) (PM) and Schisandra sphenanthera Rehder & E.H. Wilson (SS) in the treatment of ALI. High performance liquid chromatography (HPLC) were utilized to conduct the chemical interaction analysis. Then the synergistic effects of botanical hybrid preparation of PM-SS (BHP PM-SS) against ALI were comprehensively evaluated by the CCl4 induced ALI mice model. Afterwards, symptom-oriented network pharmacology, transcriptomics and metabolomics were applied to reveal the underlying mechanism of action. Finally, the key target genes were experimentally by RT-qPCR. Chemical analysis and pharmacodynamic experiments revealed that BHP PM-SS was superior to the single botanical drug, especially at 2:3 ratio, with a better dissolution rate of active ingredients and synergistic anti-ALI effect. Integrated symptom-oriented network pharmacology combined with transcriptomics and metabolomics analyses showed that the active ingredients of BHP PM-SS could regulate Glutathione metabolism, Pyrimidine metabolism, Arginine biosynthesis and Amino acid sugar and nucleotide sugar metabolism, by acting on the targets of AKT1, TNF, EGFR, JUN, HSP90AA1 and STAT3, which could be responsible for the PI3K-AKT signaling pathway, MAPK signaling pathway and Pathway in cancer to against ALI. Our study has provided compelling evidence for the synergistic effect and its mechanism of the combination of BHP PM-SS, and has contributed to the development and utilization of BHP PM-SS dietary supplements.

Jingfang granules protects against intracerebral hemorrhage by inhibiting neuroinflammation and protecting blood-brain barrier damage.

Intracerebral hemorrhage (ICH) can induce intensive oxidative stress, neuroinflammation, and brain cell apoptosis. However, conventional methods for ICH treatment have many disadvantages. There is an urgent need for alternative, effective therapies with minimal side effects. Pharmacodynamics experiment, molecular docking, network pharmacology, and metabolomics were adopted to investigate the treatment and its mechanism of Jingfang Granules (JFG) in ICH. In this study, we investigated the therapeutic effects of JFG on ICH using behavioral, brain water content and Magnetic resonance imaging experiments. However, the key active component and targets of JFG remain unknown. Here we verified that JFG was beneficial to improve brain injury after ICH. A network pharmacology analysis revealed that the anti-inflammatory effect of JFG is predominantly mediated by its activation of the phosphatidylinositol 3-kinase (PI3K)/AKT pathway through Luteolin, (+)-Anomalin and Phaseol and their targeting of AKT1, tumor necrosis factorα (TNF-α), and interleukin-1β (IL-1β). Molecular docking analyses revealed an average affinity of -8.633 kcal/mol, indicating a binding strength of less than -5 kcal/mol. Metabolomic analysis showed that JFG exerted its therapeutic effect on ICH by regulating metabolic pathways, such as the metabolism of taurine and hypotaurine, biosynthesis of valine, leucine, and isoleucine. In conclusion, we demonstrated that JFG attenuated neuroinflammation and BBB injury subsequent to ICH by activating the PI3K/Akt signaling pathway.

Exploring the mechanism of Astragali radix for promoting osteogenic differentiation based on network pharmacology, molecular docking, and experimental validation.

The present study used network pharmacology and molecular docking to predict the active ingredients and mechanisms of action of Astragalus radix (AR) to promote osteogenic differentiation of bone marrow mesenchymal stem cells (BM-MSCs), and cell experiments were conducted for verification. First, network pharmacology was used to predict the effective components, targets, and mechanisms of action of AR to promote osteogenic differentiation. The effective components and corresponding target proteins of AR, and the target proteins of osteogenic differentiation were collected through the database. The intersection targets of the two were used for the construction and analysis of a protein-protein interaction (PPI) network. Gene Oncology (GO) and Kyoto Encyclopedia of Genes, and Genomes (KEGG) enrichment analyses were conducted. Next, molecular docking technology was carried out to verify the interaction between the active ingredient and the target protein, and to select the appropriate effective active ingredient. Finally, the results of network pharmacology analysis were verified by in vitro experiments. A total of 95 potential targets were retrieved by searching the intersection of AR and osteogenic differentiation targets. PPI network analysis indicated that RAC-α-serine-threonine-protein kinase (Akt1) was considered to be the most reliable target for AR to regulate osteogenic differentiation. GO enrichment analysis included 21 biological processes, 21 cellular components and 100 molecular functions. KEGG enrichment analysis indicated that the class I phosphatidylinositol-3 kinase (PI3K)-serine-threonine kinase (Akt) signaling pathway may play an important role in promoting osteogenic differentiation. The results of molecular docking showed that quercetin's performance was improved compared with that of kaempferol. In vitro experiments showed that quercetin promoted the expression of osteogenic marker proteins (including collagen I, Runt-related transcription factor 2 and osteopontin) in BMSCs and activated the PI3K/Akt signaling pathway. AR acted on Akt1 targets through its main active component quercetin, and promoted the osteogenic differentiation of BM-MSCs by activating the PI3K/Akt signaling pathway.

Targeting of AKT1 by miR-143-3p Suppresses Epithelial-to-Mesenchymal Transition in Prostate Cancer.

An altered expression of miR-143-3p has been previously reported in prostate cancer where it is purported to play a tumor suppressor role. Evidence from other cancers suggests miR-143-3p acts as an inhibitor of epithelial-to-mesenchymal transition (EMT), a key biological process required for metastasis. However, in prostate cancer the interaction between miR-143-3p and EMT-associated mechanisms remains unclear. Therefore, this paper investigated the link between miR-143-3p and EMT in prostate cancer using in vitro and in silico analyses. PCR detected that miR-143-3p expression was significantly decreased in prostate cancer cell lines compared to normal prostate cells. Bioinformatic analysis of The Cancer Genome Atlas Prostate Adenocarcinoma (TCGA PRAD) data showed a significant downregulation of miR-143-3p in prostate cancer, correlating with pathological markers of advanced disease. Functional enrichment analysis confirmed the significant association of miR-143-3p and its target genes with EMT. The EMT-linked gene AKT1 was subsequently shown to be a novel target of miR-143-3p in prostate cancer cells. The in vitro manipulation of miR-143-3p levels significantly altered the cell proliferation, clonogenicity, migration and expression of EMT-associated markers. Further TCGA PRAD analysis suggested miR-143-3p tumor expression may be a useful predictor of disease recurrence. In summary, this is the first study to report that miR-143-3p overexpression in prostate cancer may inhibit EMT by targeting AKT1. The findings suggest miR-143-3p could be a useful diagnostic and prognostic biomarker for prostate cancer.

Mechanism of Taxanes in the Treatment of Lung Cancer Based on Network Pharmacology and Molecular Docking.

Taxanes are natural compounds for the treatment of lung cancer, but the molecular mechanism behind the effects is unclear. In the present study, through network pharmacology and molecular docking, the mechanism of the target and pathway of taxanes in the treatment of lung cancer was studied. The taxanes targets were determined by PubChem database, and an effective compounds-targets network was constructed. The GeneCards database was used to determine the disease targets of lung cancer, and the intersection of compound targets and disease targets was obtained. The Protein-Protein Interaction (PPI) network of the intersection targets was analyzed, and the PPI network was constructed by Cytoscape 3.6.0 software. The hub targets were screened according to the degree value, and the binding activity between taxanes and hub targets was verified by molecular docking. The results showed that eight taxane-active compounds and 444 corresponding targets were screened out, and 131 intersection targets were obtained after mapping with lung cancer disease targets. The hub targets obtained by PPI analysis were TP53, EGFR, and AKT1. Gene Ontology (GO) biological function enrichment analysis obtained 1795 biological process (BP) terms, 101 cellular component (CC) terms, and 164 molecular function (MF) terms. There were 179 signaling pathways obtained by Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. Twenty signaling pathways were screened out, mainly pathways in cancer, proteoglycans in cancer pathway, microRNAs in cancer pathway, and so on. Molecular docking shows that the binding energies of eight taxanes with TP53, EGFR, and AKT1 targets were less than -8.8 kcal/mol, taxanes acts on TP53, EGFR, and AKT1 targets through pathways in cancer, proteoglycans in cancer pathway and microRNAs in cancer pathway, and plays a role in treating lung cancer in biological functions such as protein binding, enzyme binding, and identical protein binding.

Molecular Mechanism of Qingzaojiufei Decoction in the Treatment of Pulmonary Fibrosis based on Network Pharmacology and Molecular Docking.

In recent years, pulmonary fibrosis (PF) has increased in incidence and prevalence. Qingzaojiufei decoction (QD) is a herbal formula that is used for the treatment of PF. In this research, network pharmacology and molecular docking methods were used to explore the major chemical components and potential mechanisms of QD in the treatment of PF. The principal components and corresponding protein targets of QD were used to screen on Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP), Traditional Chinese Medicine Integrated Database (TCMID) and high-throughput experiment-and reference-guided database (HERB), Cytoscape 3.7.2 was used to construct the drug-component-target network. PF targets were collected by GeneCards and Online Mendelian Inheritance in Man (OMIM) databases. The protein-protein interaction (PPI) network was constructed by importing compound-disease intersection targets into the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database and visualized by Cytoscape3.7.2. We further performed Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis on the intersecting targets. In the last, we validated the core targets and active compounds by molecular docking. The key compounds of quercetin, (-)-epigallocatechin-3-gallate, and kaempferol of QD were obtained. The key targets of AKT1, TNF, and IL6 of QD were obtained. The molecular docking results show that quercetin, (-)-epigallocatechin-3-gallate and kaempferol work well with AKT1, TNF and IL6. This research shows the multiple active components and molecular mechanism of QD in the treatment of PF and offers resources and suggestions for future studies.

AKT1 Transcriptomic Landscape in Breast Cancer Cells.

Overexpression and hyperactivation of the serine/threonine protein kinase B (AKT) pathway is one of the most common cellular events in breast cancer progression. However, the nature of AKT1-specific genome-wide transcriptomic alterations in breast cancer cells and breast cancer remains unknown to this point. Here, we delineate the impact of selective AKT1 knock down using gene-specific siRNAs or inhibiting the AKT activity with a pan-AKT inhibitor VIII on the nature of transcriptomic changes in breast cancer cells using the genome-wide RNA-sequencing analysis. We found that changes in the cellular levels of AKT1 lead to changes in the levels of a set of differentially expressed genes and, in turn, imply resulting AKT1 cellular functions. In addition to an expected positive relationship between the status of AKT1 and co-expressed cellular genes, our study unexpectedly discovered an inherent role of AKT1 in inhibiting the expression of a subset of genes in both unstimulated and growth factor stimulated breast cancer cells. We found that depletion of AKT1 leads to upregulation of a subset of genes—many of which are also found to be downregulated in breast tumors with elevated high AKT1 as well as upregulated in breast tumors with no detectable AKT expression. Representative experimental validation studies in two breast cancer cell lines showed a reasonable concurrence between the expression data from the RNA-sequencing and qRT-PCR or data from ex vivo inhibition of AKT1 activity in cancer patient-derived cells. In brief, findings presented here provide a resource for further understanding of AKT1-dependent modulation of gene expression in breast cancer cells and broaden the scope and significance of AKT1 targets and their functions.

Cancer-associated fibroblasts in uterine corpus endometrial carcinoma.

e17618 Background: The general role of cancer-associated fibroblasts (CAFs) and their invasive characteristics in Uterine Corpus Endometrial Carcinoma (UCEC) remain unknown. CAFs serve as an important component of the tumor microenvironment and promote tumorigenesis and cancer aggressiveness. Methods: UCEC mRNA data were downloaded from TCGA cBioPortal ( http://www.cbioportal.org/ ). CAF levels were estimated by three algorithms: MCPCOUNTER, XCELL, and EPIC, so three CAF scores were gotten and ranked. Then, the data of CAF scores in each cohort were divided into quarters, and we labeled the sample by upper quartile and lower quartile with “high”, “medium”, and “low”. To mitigate the possible classification error from each estimation method, we defined samples as “high” by at least two methods consistently labeling “high”. Samples labeled with “low” by at least two methods were assigned to the consensual low CAF group. The high and low group were analysis using GSEA software, Survival analysis was performed using the R package “survival”. Results: There were 129, 118 and 280 samples in the high, low and middle CAFs group, respectively. GSEA results showed extensive gene expression differences between the high and low CAF groups. 193 gene sets were significantly enriched at nominal p value < 0.01 in the low group, 869 gene sets were significantly enriched at nominal p value < 0.01 in the high group. In the low group, obvious differences, included lim mammary stem cell up, reactome degradation of the extracellular matrix, bertucci medullary vs ductal breast cancer dn etc. are enriched in the high group. xu akt1 targets 6hr, OUELLET (Gene Set) ovarian cancer invasive vs lmp up etc. are enriched in the low group. OS and PFS survival analysis showed there was no significant difference between these two groups. Conclusions: Our study analyzed the relationship between CAFs with UCEC, CAFs were associated with an immunosuppressive microenvironment. Larger transcriptomic alterations occurred in UCECs with high CAF infiltration, and with AKT, ALCALA APOPTOSIS and SPLICEOSOME pathways prominent in this process. But Survival analysis showed no difference between the two groups.

Molecular and cellular evidence for hsa-miR-1254 suppressor effect against HER2 signaling in breast cancer.

HER2 signaling upregulation is a hallmark of breast cancer which is the second cause of cancer-related death in women. Here, we were looking for the candidate microRNAs which is capable of regulating the HER2 receptor and the genes of its downstream. To this aim, preliminary bioinformatics analysis introduced hsa-miR-1254 (miR-1254) as a potential common regulator of HER2, HER3, PIK3R2, and AKT1 genes. Then, reverse-transcription quantitative polymerase chain reaction (RT-qPCR) analysis indicated a lower expression level of miR-1254 in breast cancer specimens, compared to their normal pairs. Furthermore, overexpression of miR-1254 resulted in HER2, HER3, PIK3R2, and AKT1 genes downregulation, detected by RT-qPCR and confirmed by western blot analysis and enzyme-linked immunosorbent assay test against AKT1, BAX, FADD, and HER2 protein levels in SKBR3 cells. Dual-luciferase assay also supported direct interaction of miR-1254 with MREs within 3' untranslated region sequences of HER2, HER3, PIK3R2, and AKT1 target genes. Overexpression of miR-1254 in SKBR3 cells was followed by increased BAX/BCL2 expression ratio, detected by RT-qPCR, and increased proportion of G1 cell population, detected by flow cytometry. Corroborated by cell cycle analysis, MTT, Annexin V-FITC, and Live-Dead cell staining assays, overexpression of miR-1254 in MDA-MB-231 cells showed opposing results following the overexpression of miR-1254. Taken together, results indicated that miR-1254 acts as cell-type-specific tumor suppressor that targets HER2, HER3, PIK3R2, and AKT1 transcripts. These results suggest miR-1254 as a potential therapeutic candidate for breast cancer subtypes.

Investigating the Mechanisms of Pollen Typhae in the Treatment of Diabetic Retinopathy Based on Network Pharmacology and Molecular Docking.

Objective To explore the main bioactive compounds and investigate the underlying mechanism of Pollen Typhae (PT) against diabetic retinopathy (DR) by network pharmacology and molecular docking analysis. Methods Bioactive ingredients and the target proteins of PT were obtained from TCMSP, and the related target genes were acquired from the SwissTargetPrediction database. The target genes of DR were obtained from GeneCards, TTD database, DisGeNET database, and DrugBank. The compound-target interaction network was established based on Cytoscape 3.7.2. The protein-protein interaction (PPI) network was constructed via STRING database and Cytoscape 3.7.2. Gene ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were visualized through DAVID database and Bioinformatics. Ingredient-gene-pathway network analysis was conducted to further screen the ingredients, target proteins, and pathways closely related to the biological mechanism on PT for DR, and molecular docking analysis was performed by SYBYL-X 2.1.1 software. Finally, the mechanism and underlying targets of PT in the treatment of DR were predicted. Results A total of 8 compounds and 171 intersection targets were obtained based on the online network database. 7 main compounds were screened from compound-target network, and 53 targets including the top six key targets (PTGS2, AKT1, VEGFA, MAPK3, TNF, and EGFR) were further acquired from PPI analysis. The 53 key targets covered 80 signaling pathways, among which PI3K-Akt signaling pathway, focal adhesion, Rap1 signaling pathway, VEGF signaling pathway, and HIF-1 signaling pathway were closely connected with the biological mechanism involved in the alleviation of DR by PT. Ingredient-gene-pathway network shows that AKTI, EGFR, and VEGFA were core genes, kaempferol and isorhamnetin were pivotal ingredients, and VEGF signaling pathway and Rap1 signaling pathway were closely involved in anti-DR. The docking results indicated that five main compounds (arachidonic acid, isorhamnetin, quercetin, kaempferol, and (2R)-5,7-dihydroxy-2-(4-hydroxyphenyl)chroman-4-one) had good binding activity with EGFR and AKT1 targets. Conclusion The active ingredients in PT may regulate the levels of inflammatory factors, suppress the oxidative stress, and inhibit the proliferation, migration, and invasion of retinal pericytes by acting on PTGS2, AKT1, VEGFA, MAPK3, TNF, and EGFR targets through VEGF signaling pathway, PI3K-Akt signaling pathway, Rap1 signaling pathway, and HIF-1 signaling pathway to play a therapeutic role in diabetic retinopathy.

Network Pharmacology-Based and Molecular Docking-Based Analysis of Suanzaoren Decoction for the Treatment of Parkinson's Disease with Sleep Disorder.

This study is aimed at exploring the possible mechanism of action of the Suanzaoren decoction (SZRD) in the treatment of Parkinson's disease with sleep disorder (PDSD) based on network pharmacology and molecular docking. Traditional Chinese Medicine Systems Pharmacology (TCMSP) was used to screen the bioactive components and targets of SZRD, and their targets were standardized using the UniProt platform. The disease targets of “Parkinson's disease (PD)” and “Sleep disorder (SD)” were collected by OMIM, GeneCards, and DisGeNET databases. Thereafter, the protein-protein interaction (PPI) network was constructed using the STRING platform and visualized by Cytoscape (3.7.2) software. Then, the DAVID platform was used to analyze the Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway. Cytoscape (3.7.2) software was also used to construct the network of the “herb-component-target-pathway.” The core active ingredients and core action targets of the drug were verified by molecular docking using AutoDock software. A total of 135 Chinese herbal components and 41 corresponding targets were predicted for the treatment of PDSD using SZRD. Fifteen important signaling pathways were screened, such as the cancer pathway, TNF signaling pathway, PI3K-AKT signaling pathway, HIF-1 signaling pathway, and Toll-like receptor signaling pathway. The results of molecular docking showed that the main active compounds could bind to the representative targets and exhibit good affinity. This study revealed that SZRD has the characteristics and advantages of “multicomponent, multitarget, and multipathway” in the treatment of PDSD; among these, the combination of the main active components of quercetin and kaempferol with the key targets of AKT1, IL6, MAPK1, TP53, and VEGFA may be one of the important mechanisms. This study provides a theoretical basis for further study of the material basis and molecular mechanism of SZRD in the treatment of PDSD.

Elucidating the Effects of Curcumin against Influenza Using In Silico and In Vitro Approaches.

The influenza virus is a constantly evolving pathogen that challenges medical and public health systems. Traditionally, curcumin has been used to treat airway inflammatory diseases, such as bronchitis and pneumonia. To elucidate common targets of curcumin and influenza infection and underlying mechanisms, we employed network pharmacology and molecular docking approaches and confirmed results using in vitro experiments. Biological targets of curcumin and influenza were collected, and potential targets were identified by constructing compound–disease target (C-D) and protein–protein interaction (PPI) networks. The ligand–target interaction was determined using the molecular docking method, and in vitro antiviral experiments and target confirmation were conducted to evaluate curcumin’s effects on influenza. Our network and pathway analyses implicated the four targets of AKT1, RELA, MAPK1, and TP53 that could be involved in the inhibitory effects of curcumin on influenza. The binding energy calculations of each ligand–target interaction in the molecular docking showed that curcumin bound to AKT1 with the highest affinity among the four targets. In vitro experiments, in which influenza virus-infected MDCK cells were pre-, co-, or post-treated with curcumin, confirmed curcumin’s prophylactic and therapeutic effects. Influenza virus induction increased the level of mRNA expression of AKT in MDCK cells, and the level was attenuated by curcumin treatment. Collectively, our findings identified potential targets of curcumin against influenza and suggest curcumin as a potential therapy for influenza infection.

Identifying Active Compounds and Mechanism of Camellia nitidissima Chi on Anti-Colon Cancer by Network Pharmacology and Experimental Validation.

Camellia nitidissima Chi (CNC) is a traditional Chinese medicine (TCM) with anticancer property. However, its underlying mechanisms of anti-colon cancer (CC) remain unknown. Therefore, a systematic approach is proposed in the present study to elucidate the anticancer mechanisms of CNC based on network pharmacology and experimental validation. Initially, the potential active ingredients of CNC were verified via the TCMSP database based on the oral bioavailability (OB) and drug-likeness (DL) terms. Hub targets of CNC were acquired from SwissTarget prediction and TCMSP databases, and target genes related to CC were gathered from GeneCards and OMIM databases. Cytoscape was used to establish the compound-target networks. Next, the hub target genes collected from the CNC and CC were parsed via GO and KEGG analysis. Results of GO and KEGG analysis reveal that quercetin and luteolin in CNC, VEGFA and AKT1 targets, and PI3K-Akt pathway were associated with the suppression of CC. Besides, the result of molecular docking unveils that VEGFA demonstrates the most powerful binding affinity among the binding outcomes. This finding was successfully validated using in vitro HCT116 cell model experiment. In conclusion, this study proved the usefulness of integrating network pharmacology with in vitro experiments in the elucidation of underlying molecular mechanisms of TCM.

Efficacy of an Yinyanghuo (Herba Epimedii Brevicornus)-Xianmao (Rhizoma Curculiginis) drug pair in a rat model of polycystic ovary syndrome.

To identify active compounds in an Yinyanghuo (Herba Epimedii Brevicornus) - Xianmao (Rhizoma Curculiginis) drug pair (ECD) and investigate its efficacy on polycystic ovary syndrome (PCOS), and its possible mechanism in a rat model of PCOS. A network pharmacology approach involving a characteristic drug assessment, active compound and target prediction, PCOS gene collection as well as network analysis was employed. The ovary morphology after treatment was observed using an animal model and western blotting and real-time PCR were used to verify AKT1 as the molecular target. Six networks were constructed, an active compound-target network for the ECD (C-T network), a drug-target network (D-T network), a related genes network, a targets interaction network, a key genes interaction network, and a gene-pathway network. A total of 41 compounds and 261 targets were identified for the ECD, 232 PCOS-related genes, 31 cogenes, and 14 pathways. These pathways may be involved in the efficacy of ECD on PCOS. The proteins most involved in the signal pathways for all targets were AKT1, IL6, INSR, ESR, and GSK3B. The AKT1 target was selected for experimental verification. Based on the Western blot and real-time PCR results, the expression of AKT1 in the PCOS model varied after treatment with ECD. Our findings suggest that the ECD can reverse the negative morphological changes in ovarian tissue that occur in model rats of PCOS. AKT1 may be a key mediator of the observed ability of the ECD to protect against PCOS in the model rats.

Mechanism of Kaempferol in Anti-inflammation Based on Network Pharmacology

To explore the mechanism of kaempferol in treatment of anti-inflammation based on network pharmacology. The chemical ingredient targets of kaempferol were obtained from Traditional Chinese Medicine Systems Pharmacology Database (TCMSP). The predicted targets related to predicted targets related to inflammation were obtained from GeneCards database. The prediction target of kaempferol was mapped with the target of inflammation to get the prediction target of kaempferol to anti-inflammatory. Cytoscape 3.7.1 software was used to draw the kaempferol targeted-anti-inflammatory targets network. Protein interaction network was made through STRING database. GO and KEGG were analyzed by the “ClueGO” plug-in of Cytoscape 3.7.1 software. There were 61 targets for kaempferol, 3416 disease genes were obtained, and 50 same targets were found. Important targets were screened out, such as AKT1, TNF, PTGS2, GASP3, MAPK8, JUN and GASP3. KEGG signaling pathways was screened, and 20 signaling pathways were obtained, including TNF signaling pathway, IL-17 signaling pathway, Apoptosis, non-fatty liver disease (NAFLD), and so on. Kaempferol mainly acts on targets of AKT1, TNF, PTGS2, GASP3, MAPK8, JUN, GASP3 and other targets to inhibit inflammation through signaling pathways including TNF signaling pathway, IL-17 signaling pathway, Apoptosis, non-alcoholic fatty liver disease (NAFLD), etc.

Akt1-associated actomyosin remodelling is required for nuclear lamina dispersal and nuclear shrinkage in epidermal terminal differentiation

Keratinocyte cornification and epidermal barrier formation are tightly controlled processes, which require complete degradation of intracellular organelles, including removal of keratinocyte nuclei. Keratinocyte nuclear destruction requires Akt1-dependent phosphorylation and degradation of the nuclear lamina protein, Lamin A/C, essential for nuclear integrity. However, the molecular mechanisms that result in complete nuclear removal and their regulation are not well defined. Post-confluent cultures of rat epidermal keratinocytes (REKs) undergo spontaneous and complete differentiation, allowing visualisation and perturbation of the differentiation process in vitro. We demonstrate that there is dispersal of phosphorylated Lamin A/C to structures throughout the cytoplasm in differentiating keratinocytes. We show that the dispersal of phosphorylated Lamin A/C is Akt1-dependent and these structures are specific for the removal of Lamin A/C from the nuclear lamina; nuclear contents and Lamin B were not present in these structures. Immunoprecipitation identified a group of functionally related Akt1 target proteins involved in Lamin A/C dispersal, including actin, which forms cytoskeletal microfilaments, Arp3, required for actin filament nucleation, and Myh9, a component of myosin IIa, a molecular motor that can translocate along actin filaments. Disruption of actin filament polymerisation, nucleation or myosin IIa activity prevented formation and dispersal of cytoplasmic Lamin A/C structures. Live imaging of keratinocytes expressing fluorescently tagged nuclear proteins showed a nuclear volume reduction step taking less than 40 min precedes final nuclear destruction. Preventing Akt1-dependent Lamin A/C phosphorylation and disrupting cytoskeletal Akt1-associated proteins prevented nuclear volume reduction. We propose keratinocyte nuclear destruction and differentiation requires myosin II activity and the actin cytoskeleton for two intermediate processes: Lamin A/C dispersal and rapid nuclear volume reduction.

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.

Introduction of hsa-miR-512-3p as a new regulator of HER2 signaling pathway in breast cancer.

Dysregulation of HER2 signaling pathway in breast cancer is well documented. Our bioinformatics analysis predicted hsa-miR-512-3p (miR-512-3p) as a bona fide regulator of HER2 as well as HER3, PIK3R2, and AKT1 genes. Then, we intended to examine the effect of miR-512-3p on the predicted target genes that are involved in HER2 signaling pathway. RT-qPCR results indicated lower expression of miR-512-3p in breast cancer specimens, compared to their normal pairs. Overexpression of miR-512-3p resulted in HER2, HER3, PIK3R2, and AKT1 gene downregulation, detected by RT-qPCR and the result was confirmed by western analysis and ELIZA test against p-AKT, BAX, FADD, and HER2 proteins in SKBR3 cells, respectively. Then, dual-luciferase assay supported the direct interaction of miR-512-3p with 3'UTR sequences of HER2, HER3, PIK3R2, and AKT1 target genes. When miR-512-3p was overexpressed, BAX/BCL2 expression ratio and proportion of sub-G1 cell population were increased in transfected SKBR3 cells, detected by RT-qPCR and flow cytometry, respectively. These results were consistent with the decreased viability of transfected cells, documented by MTT assay. In addition, results were consistent with the upregulation of BAX, BAK, BOK, PTEN, P53, and P21 genes and downregulation of CCND1 gene in SKBR3 cells. Although the overexpression of miR-512 resulted in cell cycle arrest at Sub-G1 stage in MDA-MB-231 cells, this effect seemed independent of targeting HER2, HER3, PIK3R2, and AKT1 target genes. Overall, results indicated that miR-512-3p acts as a cell-type-specific tumor suppressor, through targeting HER2, HER3, PIK3R2, and AKT1 transcripts. These results suggest miR-512-3p as a potential candidate marker for breast cancer diagnosis.

Systematic Evaluation of the Mechanisms of Mulberry Leaf (Morus alba Linne) Acting on Diabetes Based on Network Pharmacology and Molecular Docking.

Diabetes mellitus is one of the most common endocrine metabolic disorder- related diseases. The application of herbal medicine to control glucose levels and improve insulin action might be a useful approach in the treatment of diabetes. Mulberry leaves (ML) have been reported to exert important activities of anti-diabetic. In this work, we aimed to explore the multi-targets and multi-pathways regulatory molecular mechanism of Mulberry leaves (ML, Morus alba Linne) acting on diabetes. Identification of active compounds of Mulberry leaves using Traditional Chinese Medicine Systems Pharmacology (TCMSP) database was carried out. Bioactive components were screened by FAF-Drugs4 website (Free ADME-Tox Filtering Tool). The targets of bioactive components were predicted from SwissTargetPrediction website, and the diabetes related targets were screened from GeneCards database. The common targets of ML and diabetes were used for Gene Ontology (GO) and pathway enrichment analysis. The visualization networks were constructed by Cytoscape 3.7.1 software. The biological networks were constructed to analyze the mechanisms as follows: (1) compound-target network; (2) common target-compound network; (3) common targets protein interaction network; (4) compound-diabetes protein-protein interactions (ppi) network; (5) target-pathway network; and (6) compound-target-pathway network. At last, the prediction results of network pharmacology were verified by molecular docking method. 17 active components were obtained by TCMSP database and FAF-Drugs4 website. 51 potential targets (11 common targets and 40 associated indirect targets) were obtained and used to build the PPI network by the String database. Furthermore, the potential targets were used for GO and pathway enrichment analysis. Eight key active compounds (quercetin, Iristectorigenin A, 4- Prenylresveratrol, Moracin H, Moracin C, Isoramanone, Moracin E and Moracin D) and 8 key targets (AKT1, IGF1R, EIF2AK3, PPARG, AGTR1, PPARA, PTPN1 and PIK3R1) were obtained to play major roles in Mulberry leaf acting on diabetes. And the signal pathways involved in the mechanisms mainly include AMPK signaling pathway, PI3K-Akt signaling pathway, mTOR signaling pathway, insulin signaling pathway and insulin resistance. The molecular docking results show that the 8 key active compounds have good affinity with the key target of AKT1, and the 5 key targets (IGF1R, EIF2AK3, PPARG, PPARA and PTPN1) have better affinity than AKT1 with the key compound of quercetin. Based on network pharmacology and molecular docking, this study provided an important systematic and visualized basis for further understanding of the synergy mechanism of ML acting on diabetes.

Molecular Mechanism of Capsaicin from (Capsicum Annuum L.) on Expression of MAPK1 and AKT1 Protein as Candidate of Anticancer Drugs: In silico Study

One of the most important compounds in Capsicum annuum L. is capsaicin, capsaicin is a secondary metabolite of the Capsicum Annuum L. plant. In the pharmaceutical field in addition to relieving pain or pain, capsaicin is also known to have anticancer activity because it inhibits certain oncogenic proteins. Further screening of the capsaicin compound against the oncogenic protein produced in the HCC pathogenesis signaling is needed. Screening components in Capsicum annuum L. against MAPK1 and AKT1 target proteins is the initial stage of drug discovery. MAPK1 and AKT1 protein bundles and capsaicin ligand bundles that were prepared previously in Autodock 4.0 were molecular dockings (molecular docking). After molecular docking, it was found that capsaicin binds to MAPK1 / ERK with the free energy of Gibbs of -5.5 Kcal/mol and AKT1 of -6.7 Kcal/mol. The free energy of Gibbs is so negative that it is ensured that the reaction will take place spontaneously and lead to high affinity. The data that has been obtained, capsaicin in Capsicum annuum L. has a high affinity for MAPK1 and AKT1 receptor/protein targets with the binding energy of -5.5 Kcal/mol and -6.7 Kcal/ mol and Potential Activity Score (Pa ) equal to 0,690 for preneoplastic treatment, 0.590 for apoptosis agonist, and 0.366 for antineoplastic activity and accordingly become candidates for anticancer drugs.