Multi-omics analysis reveals the key factors involved in the severity of the Alzheimer's disease.

Alzheimer's disease (AD) is a debilitating neurodegenerative disorder with a global impact, yet its pathogenesis remains poorly understood. While age, metabolic abnormalities, and accumulation of neurotoxic substances are potential risk factors for AD, their effects are confounded by other factors. To address this challenge, we first utilized multi-omics data from 87 well phenotyped AD patients and generated plasma proteomics and metabolomics data, as well as gut and saliva metagenomics data to investigate the molecular-level alterations accounting the host-microbiome interactions. Second, we analyzed individual omics data and identified the key parameters involved in the severity of the dementia in AD patients. Next, we employed Artificial Intelligence (AI) based models to predict AD severity based on the significantly altered features identified in each omics analysis. Based on our integrative analysis, we found the clinical relevance of plasma proteins, including SKAP1 and NEFL, plasma metabolites including homovanillate and glutamate, and Paraprevotella clara in gut microbiome in predicting the AD severity. Finally, we validated the predictive power of our AI based models by generating additional multi-omics data from the same group of AD patients by following up for 3 months. Hence, we observed that these results may have important implications for the development of potential diagnostic and therapeutic approaches for AD patients.

Changes of polyphenols and their antioxidant activities in non-pigmented, red and black rice during in vitro digestion.

Polyphenols, a major bioactive constituent in rice grain, require processing and digestion before being absorbed by human body. Free and bound phenolics, flavonoids and their antioxidant activities in non-pigmented, red and black rice after cooking and INFOGEST digestions of oral, gastric and intestinal phases were investigated. It showed that cooking caused great losses of polyphenols and antioxidant activity. Free ferulic, isoferulic and p-coumaric acid in most rice were highest at intestinal phase (p < 0.05). Bound ferulic acid in three colored rice, bound p-coumaric acid in black rice and catechin in red rice were higher at oral and/or gastric phase. After cooking, total flavonoids of non-pigmented and pigmented rice were highest at intestinal and gastric phase, respectively. Cyanidin-3-O-glucoside, peonidin-3-O-glucoside and quercetin peaked at intestinal phase in black rice. It suggested that black rice has a greater potential to be used in meal balance and functional product development.

The Difference in Ir-Catalyzed C(sp2)-H and C(sp3)-H Bond Activation Assisted by a Directing Group: Cyclometalation via Cis- or Trans-Chelation?

Iridium-catalyzed C-H borylation of aromatic and aliphatic hydrocarbons assisted by a directing group was theoretically investigated. Density functional theory (DFT) calculations revealed both Ir-catalyzed C(sp2)-H and C(sp3)-H borylations via an IrIII/IrV catalytic cycle, where the tetra-coordinated (C, N)IrIII(Bpin)2 complex with two vacant sites is an active species. Dramatically, the orientation of cyclometalation for C(sp2)-H bond activation assisted by a directing group is different from the C(sp3)-H one. The activation energy (ΔG°‡ = 28.5 kcal mol-1) of the C(sp2)-H bond via trans-chelation to form cyclometalation is lower than that (41.4 kcal mol-1) via cis-chelation. In contrast, the ΔG°‡ (26.6 kcal mol-1) of the C(sp3)-H bond via cis-chelation to form cyclometalation is lower than that (34.3 kcal mol-1) via trans-chelation. In addition, the rate-determining step of Ir-catalyzed C(sp2)-H borylation is oxidative addition of the C(sp2)-H bond, while that of C(sp3)-H analogues is hydride migration. Such differences arise from not only the differences in the steric hindrance of the C(sp2) and secondary C(sp3) atoms but also the differences in the trans effect and steric effect of the two vacant sites of active species. These findings were expected to facilitate further studies on the design and synthesis of innovative ligands for Ir-catalyzed C-H borylation.

A radio pulsar phase from SGR J1935+2154 provides clues to the magnetar FRB mechanism.

The megajansky radio burst, FRB 20200428, and other bright radio bursts detected from the Galactic source SGR J1935+2154 suggest that magnetars can make fast radio bursts (FRBs), but the emission site and mechanism of FRB-like bursts are still unidentified. Here, we report the emergence of a radio pulsar phase of the magnetar 5 months after FRB 20200428. Pulses were detected in 16.5 hours over 13 days using the Five-hundred-meter Aperture Spherical radio Telescope, with luminosities of about eight decades fainter than FRB 20200428. The pulses were emitted in a narrow phase window anti-aligned with the x-ray pulsation profile observed using the x-ray telescopes. The bursts, conversely, appear in random phases. This dichotomy suggests that radio pulses originate from a fixed region within the magnetosphere, but bursts occur in random locations and are possibly associated with explosive events in a dynamically evolving magnetosphere. This picture reconciles the lack of periodicity in cosmological repeating FRBs within the magnetar engine model.

Perturbation theory for evolution of cooperation on networks.

Network structure is a mechanism for promoting cooperation in social dilemma games. In the present study, we explore graph surgery, i.e., to slightly perturb the given network, towards a network that better fosters cooperation. To this end, we develop a perturbation theory to assess the change in the propensity of cooperation when we add or remove a single edge to/from the given network. Our perturbation theory is for a previously proposed random-walk-based theory that provides the threshold benefit-to-cost ratio, [Formula: see text], which is the value of the benefit-to-cost ratio in the donation game above which the cooperator is more likely to fixate than in a control case, for any finite networks. We find that [Formula: see text] decreases when we remove a single edge in a majority of cases and that our perturbation theory captures at a reasonable accuracy which edge removal makes [Formula: see text] small to facilitate cooperation. In contrast, [Formula: see text] tends to increase when we add an edge, and the perturbation theory is not good at predicting the edge addition that changes [Formula: see text] by a large amount. Our perturbation theory significantly reduces the computational complexity for calculating the outcome of graph surgery.

Regional disparities and drivers of carbon emissions in China: A temporal-spatial production-theoretical decomposition analysis.

Given the increasing interest in keeping global warming below 1.5°C, carbon emissions reduction has become a hot topic. However, the regional disparities and the driving factors were not paid enough attention. This article established an indicator to describe the catch-up effort of different regions and proposed a temporal-spatial production-theoretical decomposition model using meta-frontier and global-frontier to capture the driving forces of the catch-up effort of different provinces to benchmarking provinces. The new model was applied to analyze China's regional carbon emissions during 2007 to 2018. The main findings from the empirical study are: (1) Overall, the regional carbon emissions and their spatial variation kept increasing during the study period. (2) Economic activity, potential carbon factor, carbon-abatement technology efficiency and regional carbon-abatement technology gap were the main drivers. (3) The improvement efforts of carbon-abatement, energy-saving technical efficiency, and potential energy intensity were the dominant factors inhibiting the growth of carbon emissions. (4) The improvement efforts of advanced technology and potential energy intensity helped to reduce the regional gaps, but their impacts varied considerably across regions in China.

Development and validation of a machine learning model to predict venous thromboembolism among hospitalized cancer patients.

Objective: Hospitalized cancer patients are at high risk of venous thromboembolism (VTE). However, no predictive model has been specifically developed for this population. Machine learning (ML) is advantageous for model development. This study was aimed at developing predictive models using three different ML algorithms and logistic regression for VTE risk among hospitalized cancer patients and comparing their predictive performance. Methods: A retrospective case-control study was conducted on hospitalized cancer patients at Hunan Cancer Hospital, China, between October 1, 2021, and February 30, 2022. Patients diagnosed with vein thrombosis before or after admission were excluded. Patient, tumor, treatment, and laboratory indicator information was obtained from the hospital information system. The data were randomly split into distributions of 80% for training and 20% for testing. Logistic regression and three ML algorithms-the support vector machine, random forest, and extreme gradient boosting (XGBoost)-were used to develop the models. Model performance was compared using F1, G-mean, area under the receiver operating characteristic curve (AUROC), accuracy, precision, recall rate, and specificity. Feature rankings were achieved based on the permutation scores of the selected features in the optimal model. Results: A total of 1100 patients (mean [SD] age, 54.75 [11.08] years; 485 [44.09%] male) were included in this study. There were 340 patients (30.9%) in the VTE group. The XGBoost model achieved the best performance with the following evaluation metrics: F1 (0.750), G-mean (0.816), AUROC (0.818), accuracy (0.845), precision (0.750), recall rate (0.750), and specificity (0.888). D-dimer level, diabetes, hypertension, pleural metastasis, and hematological malignancies were identified as the five most significant features of the XGBoost model. Conclusions: Four predictive models were developed using ML algorithms. The XGBoost model was the optimal predictive model compared with the other three models. This study indicates that ML may play an important role in VTE risk estimation among hospitalized patients with cancer and provides a reference for thromboprophylaxis.

Research on Adoption Behavior and Influencing Factors of Intelligent Pension Services for Elderly in Shanghai.

With the rapid development of artificial intelligence and Internet-of-Things technology, the traditional pension service mode has changed, and intelligent pension services have become a new direction of development. Descriptive statistical analysis is conducted on the supply status and demand of intelligent pension services. It is believed that the current intelligent pension services are still in the initial stage of development, and the contradiction between supply and demand is prominent. The demand for intelligent pension of the elderly is high, but the user acceptance and satisfaction are not high. On this basis, variables were selected from individual characteristics, family situation, economic status, education level, living conditions, and other indicators for multivariate unconditional logistic regression analysis. It was found that the adoption behavior of intelligent pension service users was most significantly affected by age, number of children, living conditions, service cost, service docking channel, and equipment operation difficulty. Based on the conclusion, this article puts forward some suggestions such as taking the government as the center to realize the multi-governance of intelligent pension services, improving the supply of intelligent pension service-related facilities guided by demand, optimizing the service mode based on the platform to realize dynamic combination, and taking talents as the core to promote the high-quality development of intelligent pension services.

Frequency-dependent polarization of repeating fast radio bursts-implications for their origin.

The polarization of fast radio bursts (FRBs), which are bright astronomical transient phenomena, contains information about their environments. Using wide-band observations with two telescopes, we report polarization measurements of five repeating FRBs and find a trend of lower polarization at lower frequencies. This behavior is modeled as multipath scattering, characterized by a single parameter, σRM, the rotation measure (RM) scatter. Sources with higher σRM have higher RM magnitude and scattering time scales. The two sources with the highest σRM, FRB 20121102A and FRB 20190520B, are associated with compact persistent radio sources. These properties indicate a complex environment near the repeating FRBs, such as a supernova remnant or a pulsar wind nebula, consistent with their having arisen from young stellar populations.

Epidemic dynamics on metapopulation networks with node2vec mobility.

Metapopulation models have been a powerful tool for both theorizing and simulating epidemic dynamics. In a metapopulation model, one considers a network composed of subpopulations and their pairwise connections, and individuals are assumed to migrate from one subpopulation to another obeying a given mobility rule. While how different mobility rules affect epidemic dynamics in metapopulation models has been studied, there have been relatively few efforts on comparison of the effects of simple (i.e., unbiased) random walks and more complex mobility rules. Here we study a susceptible-infectious-susceptible (SIS) dynamics in a metapopulation model in which individuals obey a parametric second-order random-walk mobility rule called the node2vec. We map the second-order mobility rule of the node2vec to a first-order random walk in a network whose each node is a directed edge connecting a pair of subpopulations and then derive the epidemic threshold. For various networks, we find that the epidemic threshold is large (therefore, epidemic spreading tends to be suppressed) when the individuals infrequently backtrack or infrequently visit the common neighbors of the currently visited and the last visited subpopulations than when the individuals obey the simple random walk. The amount of change in the epidemic threshold induced by the node2vec mobility is in general not as large as, but is sometimes comparable with, the one induced by the change in the diffusion rate for individuals.

Nomogram for Predicting Chemotherapy-Induced Nausea and Vomiting for Breast Cancer Patients.

Chemotherapy-induced nausea and vomiting (CINV) is a common side effect of cancer treatment. The factors influencing CINV in breast cancer patients remain unclear. In this study, we developed a nomogram for predicting the occurrence of CINV in this group using prospective clinical data. We pooled data from multiple studies which focused on the emetogenic chemotherapy. Then, we collected 334 breast cancer patients at Hunan Cancer Hospital (training set) to analyze the demographic and clinical variables. Using multivariate logistic regression, we identified the five significant factors that were associated with CINV: history of CINV, chemotherapy regimen, chemotherapy cycle, metastasis, and symptoms of distress. Then, we construct a prediction nomogram. The external validation set comprised an additional 66 patients. The reliability of the nomogram was assessed by bootstrap resampling. The C-index was 0.78 (95% confidence interval [CI], 0.73-0.85) for the training set and 0.74 (95% CI, 0.62-0.85) for the validation set. Calibration curves showed good concordance between predicted and actual occurrence of CINV. In conclusions, our nomogram model can reliably predict the occurrence of CINV in breast cancer patients based on five significant variables, which might be useful in clinical decision-making.

Purification, characterization and immunostimulatory effects of polysaccharides from Anemarrhena asphodeloides rhizomes.

The crude polysaccharide was extracted from A. asphodeloides rhizomes and further purified to produce two fractions F1 (50.0%) and F2 (19.6%). The chemical constitutions of the polysaccharides were neutral sugars (51.4%-89.7%), uronic acids (1.0%-30.2%) and sulfate esters (3.4%-8.1%), with various ratios of monosaccharides including rhamnose (1.4%-6.1%), arabinose (7.1%-21.2%), xylose (0.2%-4.8%), mannose (39.9%-79.0%), glucose (6.0%-11.1%) and galactose (2.6%-22.0%). The molecular properties of the polysaccharides were investigated by the HPSEC-UV-MALLS-RI system, revealing the Mw 130.0 × 103-576.5 × 103 g/moL, Rg 87.6-382.6 nm and SVg 0.3-54.3 cm3/g. The polysaccharides stimulated RAW264.7 cells to produce considerable amounts of NO and up-regulate the expression of TNF-α, IL-1 and COX-2 genes. Polysaccharides exhibited the growth inhibitory effects on cancer cells lines of AGS, MKN-28 and MKN-45, in which F2 fraction exhibited prominent bioactivities. The AGS cells treated with F2 experienced condensed cytoplasm, shrinkage of nucleus and chromatin marginalization with the highest number of cells at early-stage apoptosis reaching 54.6%. The inhibitory effect of F2 polysaccharide on AGS cells was through MAPKs and STAT3 signaling pathways. The backbone of the F2 was mainly linked by (1 â†’ 4)-linked mannopyranosyl and (1 â†’ 3)-linked galactopyranosyl. Taken together, the polysaccharide from A. asphodeloides rhizomes could be utilized as medicinal, pharmacological and functional food ingredients.

Analysis of node2vec random walks on networks.

Random walks have been proven to be useful for constructing various algorithms to gain information on networks. Algorithm node2vec employs biased random walks to realize embeddings of nodes into low-dimensional spaces, which can then be used for tasks such as multi-label classification and link prediction. The performance of the node2vec algorithm in these applications is considered to depend on properties of random walks that the algorithm uses. In the present study, we theoretically and numerically analyse random walks used by the node2vec. Those random walks are second-order Markov chains. We exploit the mapping of its transition rule to a transition probability matrix among directed edges to analyse the stationary probability, relaxation times in terms of the spectral gap of the transition probability matrix, and coalescence time. In particular, we show that node2vec random walk accelerates diffusion when walkers are designed to avoid both backtracking and visiting a neighbour of the previously visited node but do not avoid them completely.

Proteomic analysis using iTRAQ technology reveals the toxic effects of zearalenone on the leydig cells of rats.

Zearalenone (ZEA) is a mycotoxin that contaminates crops worldwide and is toxic to the reproductive systems of mammals, however, the toxicological mechanism by which ZEA affects germ cells is not fully understood. In this study, proteomic analysis using iTRAQ technology was adopted to determine the cellular response of Leydig cells of rats to ZEA exposure. The results were used to elucidate the mechanisms responsible for the toxicity of the ZEA towards germ cells. After 24 h of exposure to ZEA at a concentration of 30 µmol/L, a total of 128 differentially expressed proteins (DEPs) were identified. Of these, 70 DEPs were up-regulated and 58 DEPs were down-regulated. The DEPs associated with ZEA toxicology were then screened by using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. The results show that these DEPs are involved in a number of important ZEA toxicological pathways including apoptosis, immunotoxicity, DNA damage, and signaling pathways. The complex regulatory relationships between the DEPs and ZEA toxicological signaling pathways are also explicitly demonstrated in the form of a protein-protein interaction network. This study thus provides a theoretical molecular basis for understanding the toxicological mechanisms by which ZEA affects germ cells.

Novel 1,4­naphthoquinone derivatives induce reactive oxygen species­mediated apoptosis in liver cancer cells.

Derivatives of 1,4­naphthoquinone have excellent anti­cancer effects, but their use has been greatly limited due to their serious side effects. To develop compounds with decreased side effects and improved anti­cancer activity, two novel types of 1,4­naphthoquinone derivatives, 2,3­dihydro­2,3­epoxy­2­propylsulfonyl­5,8­dimethoxy­1,4­naphthoquinone (EPDMNQ) and 2,3­dihydro­2,3­epoxy­2­nonylsulfonyl­5,8­dimethoxy­1,4­naphthoquinone (ENDMNQ) were synthesized and their anti­tumor activities were investigated. The effects of EPDMNQ and ENDMNQ on cell viability, apoptosis and accumulation of reactive oxygen species (ROS) in liver cancer cells were determined by MTT cell viability assay and flow cytometry. The expression levels of mitochondrial, mitogen activated protein kinase (MAPK) and signal transducer and activator of transcription 3 (STAT3) signaling pathway­associated proteins in Hep3B liver cancer cells were analyzed by western blot analysis. The results demonstrated that EPDMNQ and ENDMNQ inhibited the proliferation of liver cancer Hep3B, HepG2, and Huh7 cell lines but not that of normal liver L­02, normal lung IMR­90 and stomach GES­1 cell lines. The number of apoptotic cells and ROS levels were significantly increased following treatment with EPDMNQ and ENDMNQ, and these effects were blocked by the ROS inhibitor N­acetyl­L­cysteine (NAC) in Hep3B cells. EPDMNQ and ENDMNQ induced apoptosis by upregulating the protein expression of p38 MAPK and c­Jun N­terminal kinase and downregulating extracellular signal­regulated kinase and STAT3; these effects were inhibited by NAC. The results of the present study demonstrated that EPDMNQ and ENDMNQ induced apoptosis through ROS­modulated MAPK and STAT3 signaling pathways in Hep3B cells. Therefore, these novel 1,4­naphthoquinone derivatives may be useful as anticancer agents for the treatment of liver cancer.

Cryptotanshinone induces reactive oxygen species­mediated apoptosis in human rheumatoid arthritis fibroblast­like synoviocytes.

The present study investigated the mechanisms of apoptosis induced by cryptotanshinone (CT) in human rheumatoid arthritis fibroblast­like synoviocytes (RA­FLSs). Cell Counting kit­8 assay was performed to determine the cytotoxic effects of CT in human RA­FLSs, including primary RA­FLS, HFLS­RA and MH7A cells, and in HFLS cells derived from normal synovial tissue. Annexin V­FITC/PI staining was used to detect the apoptotic effects of CT in HFLS­RA and MH7A cells. Flow cytometry was performed to detect the apoptotic and reactive oxygen species (ROS) levels induced by CT in HFLS­RA cells. Western blotting was used to assess the expression levels of proteins associated with apoptosis and with the mitogen­activated protein kinase (MAPK), protein kinase B (Akt), and signal transducer and activator of transcription­3 (STAT3) signaling pathways. The results demonstrated that CT treatment significantly suppressed HFLS­RA and MH7A cell growth, whereas no clear inhibitory effect was observed in normal HFLS cells. CT exposure downregulated the expression levels of B­cell lymphoma 2 (Bcl­2), p­Akt, p­extracellular signal­related kinase and p­STAT3, while it upregulated the expression levels of Bcl­2­associated death promoter (Bad), caspase­3, poly (ADP­ribose) polymerase (PARP), p­p38 and p­c­Jun N­terminal kinase. Following ROS scavenging, the CT­induced apoptosis and altered expression levels of Bcl­2, Bad, cleaved caspase­3 and cleaved PARP were restored. Furthermore, the Akt, MAPK and STAT3 signaling pathways were regulated by intracellular ROS. These results suggest that ROS­mediated Akt, MAPK and STAT3 signaling pathways serve important roles in the CT­induced apoptosis of RA­FLSs.

The compound 2-(naphthalene-2-thio)-5,8-dimethoxy-1,4-naphthoquinone induces apoptosis via reactive oxygen species-regulated mitogen-activated protein kinase, protein kinase B, and signal transducer and activator of transcription 3 signaling in human gastric cancer cells.

Hit, Lead & Candidate Discovery It is reported that 1,4-naphthoquinones and their derivatives have potent antitumor activity in various cancers, although their clinical application is limited by observed side effects. To improve the therapeutic efficacy of naphthoquinones in the treatment of cancer and to reduce side effects, we synthesized a novel naphthoquinone derivative, 2-(naphthalene-2-thio)-5,8-dimethoxy-1,4-naphthoquinone (NTDMNQ). In this study, we explored the effects of NTDMNQ on apoptosis in gastric cancer cells with a focus on reactive oxygen species (ROS) production. Our results demonstrated that NTDMNQ exhibited the cytotoxic effects on gastric cancer cells in a dose-dependent manner. NTDMNQ significantly induced mitochondrial-related apoptosis in AGS cells and increased the accumulation of ROS. However, pre-treatment with N-acetyl-L-cysteine (NAC), an ROS scavenger, inhibited the NTDMNQ-induced apoptosis. In addition, NTDMNQ increased the phosphorylation of p38 kinase and c-Jun N-terminal kinase (JNK) and decreased the phosphorylation of extracellular signal-regulated kinase (ERK), protein kinase B (Akt), and Signal Transducer and Activator of Transcription 3 (STAT3); these effects were blocked by mitogen-activated protein kinase (MAPK) inhibitor and NAC. Taken together, the present findings indicate that NTDMNQ-induced gastric cancer cell apoptosis via ROS-mediated regulation of the MAPK, Akt, and STAT3 signaling pathways. Therefore, NTDMNQ may be a potential treatment for gastric cancer as well as other tumor types.

Quinalizarin Induces Apoptosis through Reactive Oxygen Species (ROS)-Mediated Mitogen-Activated Protein Kinase (MAPK) and Signal Transducer and Activator of Transcription 3 (STAT3) Signaling Pathways in Colorectal Cancer Cells.

BACKGROUND Quinalizarin (1,2,5,8-tetrahydroxyanthraquinone) exhibits potentially useful anticancer effects by inducing apoptosis in several types of cancer, but its underlying mechanism of action remains unknown. The present study examined the effects of quinalizarin on the induction of cell cycle arrest, apoptosis, the generation of reactive oxygen species (ROS), other underlying mechanisms, and its role in modifying colorectal cancer cell lines. MATERIAL AND METHODS The MTT assay was used to evaluate the viability of SW480 and HCT-116 cells that had been treated with quinalizarin and 5-fluorouracil (5-FU). Cell cycle arrest and apoptosis were analyzed by flow cytometry. Western blotting was used to investigate the mitochondrial pathway; Akt, MAPK, and STAT3 signaling pathways were also investigated. The relationship between ROS generation and apoptosis was analyzed by flow cytometry and western blotting. RESULTS The results indicated that quinalizarin significantly inhibits the viability of SW480 and HCT-116 cells in a dose-dependent manner. Quinalizarin induced SW480 cell cycle arrest at G2/M by regulating cyclin B1 and CDK1/2. The apoptosis-related protein expression levels of p-p53, Bad, cleaved caspase-3, cleaved PARP and p-JNK were increased in quinalizarin-treated cells, while protein expression levels Bcl-2, p-Akt, p-ERK, and p-STAT3 were decreased. Quinalizarin induced apoptosis in colorectal cancer cells by regulating MAPK and STAT3 signaling pathways via ROS generation. CONCLUSIONS Quinalizarin induces apoptosis via ROS-mediated MAPK/STAT3 signaling pathways.

Novel 1,4-naphthoquinone derivatives induce apoptosis via ROS-mediated p38/MAPK, Akt and STAT3 signaling in human hepatoma Hep3B cells.

1,4-Naphthoquinone and its derivatives have shown some efficacy as therapeutic compounds for cancer and inflammation, though their clinical application is limited by their side-effects. To reduce the toxicity of these compounds and optimize their effects, we synthesized two 1,4-naphthoquinone derivatives-2-butylsulfinyl- 1,4-naphthoquinone (BSNQ) and 2-octylsulfinyl-1,4-naphthoquinone (OSNQ)-and investigated their effects and underlying mechanisms in hepatocellular carcinoma cells. BSNQ and OSNQ decreased cell viability and significantly induced apoptosis, accompanied by the accumulation of reactive oxygen species (ROS). However, pretreatment with N-acetyl-l-cysteine, a specific ROS scavenger, blocked apoptosis. Western blot results indicated that BSNQ and OSNQ up-regulated the phosphorylation of p38 and JNK, and down-regulated the phosphorylation of ERK, Akt and STAT3, and that these effects were blocked by N-acetyl-l-cysteine. Furthermore, BSNQ and OSNQ suppressed tumor growth and modulated MAPK and STAT3 signaling in mouse xenografts without detectable effects on body weight or hematological parameters. These results indicate that BSNQ and OSNQ induce apoptosis in human hepatoma Hep3B cells via ROS-mediated p38/MAPK, Akt and STAT3 signaling pathways, suggesting that these 1,4-naphthoquinone derivatives may provide promising new anticancer agents to treat HCC.

Quinalizarin exerts an anti-tumour effect on lung cancer A549 cells by modulating the Akt, MAPK, STAT3 and p53 signalling pathways.

Quinalizarin may be a potential chemical agent for cancer therapy, as it exerts anti­tumour effects against a variety of different types of cancer. However, the underlying regulatory mechanism and signalling pathways of quinalizarin in lung cancer cells remains unknown. The present study sought to investigate the effects of quinalizarin on proliferation, apoptosis and reactive oxygen species (ROS) generation in lung cancer. MTT assays were used to evaluate the effects of quinalizarin on the viability of lung cancer A549, NCI­H460 and NCI­H23 cells. Flow cytometry was employed to evaluate the effects of quinalizarin on the cell cycle, apoptosis and ROS generation in A549 cells. Western blotting was performed to detect cell cycle and apoptosis­associated protein expression levels in A549 cells. Quinalizarin inhibited A549, NCI­H460 and NCI­H23 cell proliferation and induced A549 cell cycle arrest at the G0/G1 phase. Quinalizarin induced apoptosis by upregulating the expression of B­cell lymphoma 2 (Bcl­2)­associated agonist of cell death, cleaved­caspase­3 and cleaved­poly (adenosine diphosphate­ribose) polymerase, and downregulating the expression of Bcl­2. Furthermore, quinalizarin activated mitogen­activated protein kinase (MAPK) and p53, and inhibited the protein kinase B and signal transducer and activator of transcription­3 (STAT3) signalling pathways. In addition, quinalizarin increased ROS generation. The ROS scavenger N­acetyl­L­cysteine restored quinalizarin­induced cell apoptosis, and inactivated the MAPK and STAT3 signalling pathways. The results of the present study demonstrated that quinalizarin induces G0/G1 phase cell cycle arrest and apoptosis via ROS mediated­MAPK and STAT3 signalling pathways.