Exploring the Mechanism of Isoforskolin against Asthma Based on Network Pharmacology and Experimental Verification.

In this study, network pharmacology combined with biological experimental verification was utilized to screen the targets of isoforskolin (ISOF) and investigate the potential underlying mechanism of ISOF against asthma. Asthma-related targets were screened from the Genecards and DisGeNET databases. SEA and Super-PRED databases were used to obtain the targets of ISOF. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were employed to identify enriched regulatory pathways of key targets in ISOF acting on asthma. Then, a protein-protein interaction (PPI) network was constructed via STRING database and hub genes of ISOF against asthma were further screened using molecular docking. Finally, CCK-8, qPCR, and Western blotting were performed to confirm the targets of ISOF in treating asthma. A total of 96 drug potential therapeutic targets from the relevant databases were screened out. KEGG pathway enrichment analysis predicted that the target genes might be involved in the PI3K-Akt pathway. The core targets of ISOF in treating asthma were identified by the PPI network and molecular docking, including MAPK1, mTOR, and NFKB1. Consistently, in vitro experiments showed that ISOF acting on asthma was involved in inflammatory response by reducing the expression of MAPK1, mTOR, and NFKB1. The present study reveals that MAPK1, mTOR, and NFKB1 might be key targets of ISOF in asthma treatment and the anti-asthma effect might be related to the PI3K-AKT signaling pathway.

GGT5 facilitates migration and invasion through the induction of epithelial-mesenchymal transformation in gastric cancer.

BACKGROUND: Gamma-glutamyltransferase 5 (GGT5), one of the two members in the GGT family (GGT1 and GGT5), plays a crucial role in oxidative regulation, inflammation promotion, and drug metabolism. Particularly in the tumorigenesis of various cancers, its significance has been recognized. Nevertheless, GGT5's role in gastric cancer (GC) remains ambiguous. This study delves into the function and prognostic significance of GGT5 in GC through a series of in vitro experiments. METHODS: Employing online bioinformatics analysis tools such as The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), Kaplan-Meier plotter, and cBioPortal, we explored GGT5 characteristics and functions in GC. This encompassed aberrant expression, prognostic value, genomic alterations and mutations, immune cell infiltration, and associated signaling pathways. Immunohistochemistry was conducted to assess GGT5 expression in GC and adjacent normal tissues. Subsequently, univariate and multivariate logistic regression analyses were applied to investigate the associations between GGT5 and clinical characteristics. CCK8, wound healing, and migration assays were utilized to evaluate the impact of GGT5 on cell viability and migration. Additionally, Gene Set Enrichment Analysis (GSEA) and Western blot analysis were performed to scrutinize the activity of the epithelial-mesenchymal transformation (EMT) signaling pathway under GGT5 regulation. RESULTS: GGT5 exhibits upregulation in gastric cancer, with its overexpression significantly linked to histological differentiation in GC patients (P < 0.05). Multivariate analysis indicates that elevated GGT5 expression is an independent risk factor associated with poorer overall survival in gastric cancer patients (P < 0.05). In vitro experiments reveal that downregulation of GGT5 hampers the proliferation and migration of GC cell lines. Finally, GSEA using TCGA data highlights a significant correlation between GGT5 expression and genes associated with EMT, a finding further confirmed by Western blot analysis. CONCLUSIONS: GGT5 emerges as a promising prognostic biomarker and potential therapeutic target for GC.

Polyphyllin â ¢ regulates EMT of lung cancer cells through GSK-3ß/ß-catenin pathway.

Background: Some studies have found that the application of traditional Chinese medicine in the treatment of lung cancer has achieved satisfying results. Polyphyllin Ⅲ (PP Ⅲ) is a natural steroid saponin from P. polyphylla var. yunnanensis, and its analogs have played a wide role in anticancer research. This study aimed to investigate the effect of PP Ⅲ on the development of lung cancer and its molecular mechanism. Methods: A549 and NCI-H1299 cell lines were treated with PP Ⅲ in gradient concentration to detect the IC50 of the cells, and the optimal concentration was selected for subsequent experiments. The effects of PP III treatment on lung cancer were investigated in vitro and in vivo. Results: In vitro experiments, it was found that the proliferation, invasion, migration, and colony formation ability of cancer cells were significantly reduced after PP III treatment, while accompanied by a large number of cell apoptosis. Further detection showed that N-cadherin was significantly decreased, E-cadherin was increased, and Snail and Twist were decreased in A549 cells and NCI-H1299 cells, respectively. In addition, GSK-3ß expression was increased, while ß-catenin expression was reduced with PP III treatment. In the mouse model, it was demonstrated that the volume of transplanted tumors was significantly reduced after PP Ⅲ treatment. Conclusions: PP Ⅲ has the capacity to inhibit the progression of lung cancer and regulate epithelial-mesenchymal transition through the GSK-3ß/ß-catenin pathway to suppress the malignant behavior of cancer cells. The application of PP Ⅲ is expected to be an effective method for the treatment of lung cancer.

Chinese expert consensus on cone-beam CT-guided diagnosis, localization and treatment for pulmonary nodules.

Cone-beam computed tomography (CBCT) system can provide real-time 3D images and fluoroscopy images of the region of interest during the operation. Some systems can even offer augmented fluoroscopy and puncture guidance. The use of CBCT for interventional pulmonary procedures has grown significantly in recent years, and numerous clinical studies have confirmed the technology's efficacy and safety in the diagnosis, localization, and treatment of pulmonary nodules. In order to optimize and standardize the technical specifications of CBCT and guide its application in clinical practice, the consensus statement has been organized and written in a collaborative effort by the Professional Committee on Interventional Pulmonology of China Association for Promotion of Health Science and Technology.

Usenamine A triggers NLRP3/caspase-1/GSDMD-mediated pyroptosis in lung adenocarcinoma by targeting the DDX3X/SQSTM1 axis.

BACKGROUND: Usenamine A (C18H17NO6) is a newly developed, natural anticancer drug that reportedly exerts low toxicity. The therapeutic efficacy and underlying mechanisms of usenamine A in lung adenocarcinoma (LUAD) remain poorly understood. We aimed to explore the therapeutic effects and molecular mechanisms through which usenamine A inhibits LUAD tumorigenesis. METHODS: We used LUAD cell lines H1299 and A549 in the present study. CCK-8 and colony formation assays were performed to analyze cell proliferation. Cell migration, invasion, and apoptosis were evaluated using wound-healing, transwell, and flow cytometric assays, respectively. Levels of reactive oxygen species were measured using a DCFH-DA probe. Inflammatory factors (lactate dehydrogenase, interleukin [IL]-1ß, and IL-18) were detected using enzyme-linked immunosorbent assays. Western blotting was performed to determine the expression of NOD-like receptor pyrin 3 (NLRP3)/caspase-1/gasdermin D (GSDMD) pathway-related proteins. Pyroptosis was detected using transmission electron microscopy. The interaction and co-localization of DDX3X and sequestosome 1 (SQSTM1) were identified using co-immunoprecipitation and immunofluorescence assays, respectively. For in vivo assessment, we established a xenograft model to validate the usenamine A-mediated effects and mechanisms of action in LUAD. RESULTS: Usenamine A inhibited the proliferation, migration, and invasion of LUAD cells. Furthermore, usenamine A induced NLRP3/caspase-1/GSDMD-mediated pyroptosis in LUAD cells. Usenamine A upregulated DDX3X expression to trigger pyroptosis. DDX3X interacted with SQSTM1, which is responsible for inducing pyroptosis. In vivo, usenamine A suppressed LUAD tumorigenesis by triggering NLRP3/caspase-1/GSDMD-mediated pyroptosis via the upregulation of the DDX3X/SQSTM1 axis. CONCLUSIONS: Usenamine A was found to induce NLRP3/caspase-1/GSDMD-mediated pyroptosis in LUAD by upregulating the DDX3X/SQSTM1 axis.

Deep learning for malignancy risk estimation of incidental sub-centimeter pulmonary nodules on CT images.

OBJECTIVES: To establish deep learning models for malignancy risk estimation of sub-centimeter pulmonary nodules incidentally detected by chest CT and managed in clinical settings. MATERIALS AND METHODS: Four deep learning models were trained using CT images of sub-centimeter pulmonary nodules from West China Hospital, internally tested, and externally validated on three cohorts. The four models respectively learned 3D deep features from the baseline whole lung region, baseline image patch where the nodule located, baseline nodule box, and baseline plus follow-up nodule boxes. All regions of interest were automatically segmented except that the nodule boxes were additionally manually checked. The performance of models was compared with each other and that of three respiratory clinicians. RESULTS: There were 1822 nodules (981 malignant) in the training set, 806 (416 malignant) in the testing set, and 357 (253 malignant) totally in the external sets. The area under the curve (AUC) in the testing set was 0.754, 0.855, 0.928, and 0.942, respectively, for models derived from baseline whole lung, image patch, nodule box, and the baseline plus follow-up nodule boxes. When baseline models externally validated (follow-up images not available), the nodule-box model outperformed the other two with AUC being 0.808, 0.848, and 0.939 respectively in the three external datasets. The resident, junior, and senior clinicians achieved an accuracy of 67.0%, 82.5%, and 90.0%, respectively, in the testing set. The follow-up model performed comparably to the senior clinician. CONCLUSION: The deep learning algorithms solely mining nodule information can efficiently predict malignancy of incidental sub-centimeter pulmonary nodules. CLINICAL RELEVANCE STATEMENT: The established models may be valuable for supporting clinicians in routine clinical practice, potentially reducing the number of unnecessary examinations and also delays in diagnosis. KEY POINTS: • According to different regions of interest, four deep learning models were developed and compared to evaluate the malignancy of sub-centimeter pulmonary nodules by CT images. • The models derived from baseline nodule box or baseline plus follow-up nodule boxes demonstrated sufficient diagnostic accuracy (86.4% and 90.4% in the testing set), outperforming the respiratory resident (67.0%) and junior clinician (82.5%). • The proposed deep learning methods may aid clinicians in optimizing follow-up recommendations for sub-centimeter pulmonary nodules and may lead to fewer unnecessary diagnostic interventions.

Pulmonary artery aneurysm protruding into the bronchus as an endobronchial mass: A case report.

BACKGROUND: Pulmonary artery (PA) aneurysms are usually diagnosed radiographically and present as small or large lesions resembling inflammation or a neoplasm on chest radiography. It has rarely been reported as an endobronchial mass. CASE SUMMARY: We report the case of a 64-year-old man who presented with recurrent hemoptysis. Bronchoscopy revealed a tumorous protrusion blocking the right middle lobe bronchus, which was confirmed to be a PA aneurysm using endobronchial ultrasound bronchoscopy and computed tomography angiography. CONCLUSION: Although endobronchial PA aneurysms are rare, bronchoscopists need to add this lesion to the list of endobronchial masses for which a biopsy is to be assiduously avoided.

Nucleophosmin promotes lung adenocarcinoma cell proliferation, migration and invasion by activating the EGFR/MAPK signaling pathway.

Lung adenocarcinoma (LUAD) is the main cause of death globally. The present study investigated the prognostic value and functional verification of nucleophosmin (NPM1) in LUAD. LUAD and normal samples from The Cancer Genome Atlas were analyzed to identify whether NPM1 is associated with LUAD prognosis. NPM1 protein expression level was verified by western blotting. Cell proliferation, migration and invasion were detected by Cell Counting Kit­8, wound healing and Transwell assays, respectively. EGFR/MAPK pathway­related proteins [phosphorylated (p)­EGFR/EGFR, p­MEK/MEK, and p­ERK/ERK] expression was measured through western blotting. A xenograft tumor mice model was constructed to perform the in vivo verification. NPM1 was upregulated in LUAD cells, and high­level NPM1 indicated poor prognosis in patients with LUAD. In vitro experiments revealed that NPM1 knockdown inhibited LUAD cell proliferation, migration and invasion. Moreover, protein expression of p­EGFR/EGFR, p­MEK/MEK and p­ERK/ERK was reduced with the NPM1 silencing. Furthermore, EGF, an activator of the EGFR/MAPK pathway, reversed the effects of NPM1. In vivo experiments showed that NPM1 knockdown inhibited tumor growth and protein levels of p­EGFR/EGFR, p­MEK/MEK and p­ERK/ERK. NPM1 is related to the poor prognosis of LUAD and promotes the malignant progression of LUAD by activating the EGFR/MAPK pathway. This discovery provides a new potential therapeutic target for the diagnosis and treatment of LUAD.

First-line crizotinib therapy is effective for a novel SEC31A-anaplastic lymphoma kinase fusion in a patient with stage IV lung adenocarcinoma: a case report and literature reviews.

Anaplastic lymphoma kinase (ALK) fusion was found in 3-7% of all patients with nonsmall cell lung cancer. The efficacy of ALK-tyrosine kinase inhibitor (ALK-TKI) in EML4-ALK has been extensively studied, whereas little evidence is available on its efficacy in rare ALK fusions. Here, we report the performance of crizotinib in a 50-year-old male lung adenocarcinoma patient with a novel rare SEC31A-ALK fusion. Computed tomography (CT) scan revealed multiple patchy high-density shadows in both lungs. The larger ones are located near the spine in the right lung lower lobe (55 × 34 mm) and the left hilar region (45 × 26 mm), with multiple enlarged mediastinal and axillary lymph nodes. Biopsy by bronchoscopy revealed invasive adenocarcinoma. The pathological stage of T4N3M1b (clinical stage: IVA) was confirmed. Next-generation sequencing revealed SEC31A: exon20~ALK: exon20 fusion, ABCB1 amplification, FGF19 amplification, DAXX p.S213L, MUTYH p.R19*(germline mutation and pathogenic) with tumor mutational burden at 3.2 mutations/Mb, microsatellite stable, proficient mismatch repair and PD-L1 positive [immunohistochemistry, tumor proportion score(TPS) 1-49% (TPS = 25%)]. Based on these findings, crizotinib was recommended for the first-line treatment at 250 mg twice daily. The first CT assessment after 2-month therapy showed partial response (PR) for the two larger lesions, multiple shadows and nodules in both lungs and the mediastinal and axillary lymph nodes. Crizotinib at 250 mg twice a day was applied in the following 9 months. Assessment at every 3 months (up to 1-year after diagnosis) showed further absorption for all lesions (continuous PR). We reported a novel rare ALK fusion SEC31A: EXON20~ALK: exon20 and showed the effectiveness of crizotinib against the fusion. This study provided strong evidence for the efficacy of ALK-TKI for rare ALK fusion.

Identification of the molecular subgroups in asthma by gene expression profiles: airway inflammation implications.

BACKGROUND: Asthma is a heterogeneous disease and different phenotypes based on clinical parameters have been identified. However, the molecular subgroups of asthma defined by gene expression profiles of induced sputum have been rarely reported. METHODS: We re-analyzed the asthma transcriptional profiles of the dataset of GSE45111. A deep bioinformatics analysis was performed. We classified 47 asthma cases into different subgroups using unsupervised consensus clustering analysis. Clinical features of the subgroups were characterized, and their biological function and immune status were analyzed using Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and single sample Gene Set Enrichment Analysis (ssGSEA). Weighted gene co-expression network analysis (WGCNA) and protein-protein interaction (PPI) network were performed to identify key gene modules and hub genes. RESULTS: Unsupervised consensus clustering of gene expression profiles in asthma identified two distinct subgroups (Cluster I/II), which were significantly associated with eosinophilic asthma (EA) and paucigranulocytic asthma (PGA). The differentially expressed genes (DEGs) between the two subgroups were primarily enriched in immune response regulation and signal transduction. The ssGSEA suggested the different immune infiltration and function scores between the two clusters. The WGCNA and PPI analysis identified three hub genes: THBS1, CCL22 and CCR7. ROC analysis further suggested that the three hub genes had a good ability to differentiate the Cluster I from the Cluster II. CONCLUSIONS: Based on the gene expression profiles of the induced sputum, we identified two asthma subgroups, which revealed different clinical characteristics, gene expression patterns, biological functions and immune status. The transcriptional classification confirms the molecular heterogeneity of asthma and provides a framework for more in-depth research on the mechanisms of asthma.

Weighted gene co-expression network analysis to identify key modules and hub genes associated with paucigranulocytic asthma.

BACKGROUND: Asthma is a heterogeneous disease that can be divided into four inflammatory phenotypes: eosinophilic asthma (EA), neutrophilic asthma (NA), mixed granulocytic asthma (MGA), and paucigranulocytic asthma (PGA). While research has mainly focused on EA and NA, the understanding of PGA is limited. In this study, we aimed to identify underlying mechanisms and hub genes of PGA. METHODS: Based on the dataset from Gene Expression Omnibus(GEO), weighted gene coexpression network analysis (WGCNA), differentially expressed genes (DEGs) analysis and protein-protein interaction (PPI) network analysis were conducted to construct a gene network and to identify key gene modules and hub genes. Functional enrichment analyses were performed to investigate the biological process, pathways and immune status of PGA. The hub genes were validated in a separate dataset. RESULTS: Compared to non-PGA, PGA had a different gene expression pattern, in which 449 genes were differentially expressed. One gene module significantly associated with PGA was identified. Intersection between the differentially expressed genes (DEGs) and the genes from the module that were most relevant to PGA were mainly enriched in inflammation and immune response regulation. The single sample Gene Set Enrichment Analysis (ssGSEA) suggested a decreased immune infiltration and function in PGA. Finally six hub genes of PGA were identified, including ADCY2, CXCL1, FPRL1, GPR109B, GPR109A and ADCY3, which were validated in a separate dataset of GSE137268. CONCLUSIONS: Our study characterized distinct gene expression patterns, biological processes and immune status of PGA and identified hub genes, which may improve the understanding of underlying mechanism and provide potential therapeutic targets for PGA.

The genomic landscape of young and old lung cancer patients highlights age-dependent mutation frequencies and clinical actionability in young patients.

The aim of the study was to investigate age-dependent tendency of genomic alterations in lung cancer, and also to examine mutational profiles and its association with clinical treatment outcomes in young adenocarcinoma patients. By studying 7858 lung cancer samples using targeted-gene sequencing, we investigated genomic differences and clinical on-treatment time (OTT) to different therapies between young (≤ 45 years) and old (> 45 years) patients. The age-dependent trend test for genomic alterations in all patients revealed steady increases in tumor mutation burden and alterations in a number of genes with age, including KRAS, MET, CDKN2A, PIK3CA and MDM2, while the frequencies of ALK, ROS1 and RET fusions and ERBB2 mutations were decreasing. The highest rate of EGFR alterations was observed in the 45 ~ 50 years age group. Comparisons of young and old adenocarcinoma patients found that young patients were characterized by a higher prevalence of ALK, ROS1 and RET fusions, and ERBB2 exon-20 insertions and EGFR exon-19 deletions. Actionable mutations were highly prevalent in young adenocarcinoma patients, with 88% of patients harboring at least one actionable genetic alteration. First-line therapies in EGFR-positive patients (n = 979) by EGFR tyrosine kinase inhibitors or chemotherapy resulted in similar OTT between young and old patients. Somatic interaction analyses implied that young EGFR-positive patients were more likely to also have PIK3CA, MET, TP53 and RB1 mutations than old patients. Lung cancer in young patients, and especially those with adenocarcinoma, exhibited different clinical features and genomic attributes compared to old patients, which should be considered for therapeutic decision-making purposes.

A Rehmannia glutinosa cinnamate 4-hydroxylase promotes phenolic accumulation and enhances tolerance to oxidative stress.

KEY MESSAGE: RgC4H promotes phenolic accumulation in R. glutinosa, activating the molecular networks of its antioxidant systems, and enhancing the tolerance to oxidative stresses exposed to drought, salinity and H2O2 conditions. Rehmannia glutinosa is of great economic importance in China and increasing R. glutinosa productivity relies, in part, on understanding its tolerance to oxidative stress. Oxidative stress is a key influencing factor for crop productivity in plants exposed to harsh conditions. In the defense mechanisms of plants against stress, phenolics serve an important antioxidant function. Cinnamate 4-hydroxylase (C4H) is the first hydroxylase in the plant phenolics biosynthesis pathway, and elucidating the molecular characteristics of this gene in R. glutinosa is essential for understanding the effect of tolerance to oxidative stress tolerance on improving yield. Using in vitro and in silico methods, a C4H gene, RgC4H, from R. glutinosa was isolated and characterized. RgC4H has 86.34-93.89% amino acid sequence identity with the equivalent protein in other plants and localized to the endoplasmic reticulum. An association between the RgC4H expression and total phenolics content observed in non-transgenic and transgenic R. glutinosa plants suggests that this gene is involved in the process of phenolics biosynthesis. Furthermore, the tolerance of R. glutinosa to drought, salinity and H2O2 stresses was positively or negatively altered in plants with the overexpression or knockdown of RgC4H, respectively, as indicated by the analysis in some antioxidant physiological and molecular indices. Our study highlights the important role of RgC4H in the phenolics/phenylpropanoid pathway and reveals the involvement of phenolic-mediated regulation in oxidative stress tolerance in R. glutinosa.

Diagnostic management of inpatients with a positive D-dimer test: developing a new clinical decision-making rule for pulmonary embolism.

BACKGROUND: A positive D-dimer test has high sensitivity but relatively poor specificity for the diagnosis of pulmonary embolism, causing difficulty for clinicians unskilled in pulmonary embolism diagnosis in determining whether a patient with a positive D-dimer test needs to undergo computed tomographic pulmonary angiography. OBJECTIVES: We sought to develop a new clinical decision-making rule based on a positive D-dimer result to predict the probability of pulmonary embolism and to guide clinicians in making decisions regarding the need for computed tomographic pulmonary angiography. METHODS: We conducted a prospective, multicenter study in three hospitals in China. A total of 3014 inpatients with positive D-dimer results were included. In the derivation group, we built a multivariate logistic regression model and deduced a regression equation from which our score was derived. Finally, we validated the score in an independent cohort. RESULTS: Our score included nine variables (points): chest pain (1.4), chest tightness (2.3), shortness of breath (3.6), hemoptysis (3.4), heart rate ≥100 beats/min (3.6), blood gas analysis (2.9), electrocardiogram presenting a typical S1Q3T3 pattern (4.1), electrocardiogram findings (2.4), and ultrasonic cardiogram findings (3.7). The sensitivities and specificities were 100% and 86.94%, respectively, in the derivation group and 100% and 90.82%, respectively, in the validation group. Additionally, the observed and predicted proportions of patients who underwent computed tomographic pulmonary angiography were 16.82% and 10.76%, respectively, in the derivation group and 18.72% and 11.40%, respectively, in the validation group. CONCLUSIONS: The new score can categorize inpatients with a positive D-dimer test as pulmonary embolism-likely or pulmonary embolism-unlikely, thus reducing unnecessary computed tomographic pulmonary angiography examinations.

Gate-tunable trion binding energy in monolayer MoS2 with plasmonic superlattice.

Two-dimensional transition metal dichalcogenides exhibit promising potential and attract the attention of the world in the application of optoelectronic devices owing to their distinctive physical and chemical properties. The real-time control of light-matter interactions in semiconductor devices through an external optical resonant cavity is crucial for designing next-generation optoelectronic devices. Here, we report the spectroscopic identification of trion binding energy in monolayer MoS2 field-effect transistors with plasmonic nanoresonators. In consequence, the binding energy could be regulated dynamically through an external electric field. In addition, after increasing the carrier injection, the evidence of the enhanced trion binding energy can also be observed, which can be utilized for researching magneto-plasmons. The ability to dynamically control the optical properties by electrostatic doping opens a platform for designing next-generation optoelectronic and valleytronic applications in two-dimensional crystals with accurate and precise tailored responses.

Gold nano particles synthesized from Magnolia officinalis and anticancer activity in A549 lung cancer cells.

Nanotechnology is creating a bang in each and every field of life science. Scientists are mounting their interest of research towards gold nanoparticles as they are capable with bigger and advanced properties.Traditionally nanoparticles have been manufactured by various chemical and physical methods but have negative impact on the environment and are also highly toxic. Synthesis of nanoparticles by using plant extracts is substituting the conventional methods and it is eco-friendly too. In the current study, we prepared gold nanoparticles (AuNPs) from Magnolia officinalis, which is identified as an eco-friendly and less toxic method. Incorporation of AuNPs was renowned by UV-absorbance and it shows peak values. Nanoparticle sizes are recognized by dynamic light scattering scrutiny and it shows a value of 128 nm. Besides, high resolution transmission electron microscopy (HR-TEM), energy dispersive X-ray analysis (EDX) and atomic force microscopy (AFM) incorrigibly define the shape of the AuNPs which are present in the complex materials. Fourier-transform infrared spectroscopy (FTIR) findings display that the active molecules are positioned in the plane of the AuNPs. Similarly, anticancer efficacy of AuNPs have been assessed in A549 cells. our study show that AuNPs effectively provoke cytotoxicity, and apoptosis by inflecting apoptotic gene expressions in A549 cells.

Electronic structures and transport properties of SnS-SnSe nanoribbon lateral heterostructures.

The electronic structures of phosphorene-like SnS/SnSe nanoribbons and the transport properties of a SnS-SnSe nanoribbon lateral heterostructure are investigated by using first-principles calculations combined with nonequilibrium Green's function (NEGF) theory. It is demonstrated that SnS and SnSe nanoribbons with armchair edges (A-SnSNRs and A-SnSeNRs) are semiconductors, independent of the width of the ribbon. Their bandgaps have an indirect-to-direct transition, which varies with the ribbon width. In contrast, Z-SnSNRs and Z-SnSeNRs are metals. The transmission gap of armchair SnSNR-SnSeNR is different from the potential barrier of SnSNR and SnSeNR. The I-V curves of zigzag SnSNR-SnSeNR exhibit a negative differential resistive (NDR) effect due to the bias-dependent transmission in the voltage window and are independent of the ribbon width. However, for armchair SnSNR-SnSeNR, which has a low current under low biases, it is only about 10-6 µA. All the results suggest that phosphorene-like MX (M = Sn/Ge, X = S/Se) materials are promising candidates for next-generation nanodevices.

Metformin promotes survivin degradation through AMPK/PKA/GSK-3ß-axis in non-small cell lung cancer.

Metformin, a first-line antidiabetic drug, has been reported with anticancer activities in many types of cancer. However, its molecular mechanisms remain largely unknown. As a member of inhibitor of apoptosis proteins, survivin plays an important role in the regulation of cell death. In the present study, we investigated the role of survivin in metformin-induced anticancer activity in non-small cell lung cancer in vitro. Metformin mainly induced apoptotic cell death in A549 and H460 cell lines. It remarkably suppressed the expression of survivin, decreased the stability of this protein, then promoted its proteasomal degradation. Moreover, metformin greatly suppressed protein kinase A (PKA) activity and induced its downstream glycogen synthase kinase 3ß (GSK-3ß) activation. PKA activators, both 8-Br-cAMP and forskolin, significantly increased the expression of survivin. Consistently both GSK-3ß inhibitor LiCl and siRNA restored the expression of survivin in lung cancer cells. Furthermore, metformin induced adenosine 5'-monophosphate-activated protein kinase (AMPK) activation. Suppression of the activity of AMPK with Compound C reversed the degradation of survivin induced by metformin, and meanwhile, restored the activity of PKA and GSK-3ß. These results suggest that metformin kills lung cancer cells through AMPK/PKA/GSK-3ß-axis-mediated survivin degradation, providing novel insights into the anticancer effects of metformin.

Metformin induces apoptotic cytotoxicity depending on AMPK/PKA/GSK-3ß-mediated c-FLIPL degradation in non-small cell lung cancer.

BACKGROUND: Metformin, a first-line antidiabetic drug, has recently been reported with anticancer activities in various cancers; however, the underlying mechanisms remain elusive. The aim of the present study was to investigate the role of cellular FADD-like IL-1ß-converting enzyme (FLICE)-inhibitory protein large (c-FLIPL) in metformin-induced anticancer activity in non-small cell lung cancer (NSCLC) in vitro. MATERIALS AND METHODS: Cell viability was measured by MTT assay. Quantitative real-time PCR was carried out to detect the level of mRNA of related genes. The expression of related proteins was detected by Western blot. siRNA was used to silence the expression of targeted proteins. RESULTS: Metformin significantly suppressed proliferation of both A549 and H460 cells in a dose-dependent manner. Mechanistic studies suggested that metformin killed NSCLC cells by inducing apoptotic cell death. Moreover, metformin greatly inhibited c-FLIPL expression and then promoted its degradation. Furthermore, metformin significantly activated Adenosine 5'-monophosphate (AMP)-activated protein kinase (AMPK) and its downstream glycogen synthase kinase 3beta (GSK-3ß), block the expression of AMPK, and GSK-3ß with siRNA partially reversed metformin-induced cytotoxicity and restored the expression of c-FLIPL in lung cancer cells. Metformin also suppressed the activity of AMPK downstream protein kinase A (PKA), PKA activators, both 8-Br-cAMP and forskolin, greatly increased c-FLIPL expression in NSCLC cells. CONCLUSION: This study provided evidence that metformin killed NSCLC cells through AMPK/PKA/GSK-3ß axis-mediated c-FLIPL degradation.