Exploring the gut microbiota-hippocampus-metabolites axis dysregulation in sepsis mice.

Background: Sepsis is commonly associated with a sudden impairment of brain function, thus leading to significant rates of illness and mortality. The objective of this research was to integrate microbiome and metabolome to reveal the mechanism of microbiota-hippocampus-metabolites axis dysfunction in a mouse model of sepsis. Methods: A mouse model of sepsis was established via cecal ligation and puncture. The potential associations between the composition of the gut microbiota and metabolites in the hippocampus of mice with sepsis were investigated by combining 16S ribosomal RNA gene sequencing and ultra-high-performance liquid chromatography tandem mass spectrometry. Results: A total of 140 differential metabolites were identified in the hippocampal tissues of mice with sepsis when compared to those of control mice. These differential metabolites in mice with sepsis were not only associated with autophagy and serotonergic synapse, but also involved in the metabolism and synthesis of numerous amino acids. At the phylum level, the abundance of Bacteroidota was increased, while that of Firmicutes (Bacillota) was decreased in mice with sepsis. At the genus level, the abundance of Alistipes was increased, while that of Lachnospiraceae_NK4A136_group was decreased in mice with sepsis. The Firmicutes (Bacillota)/Bacteroidota (F/B) ratio was decreased in mice with sepsis when compared to that of control mice. Furthermore, the F/B ratio was positively correlated with 5'-methylthioadenosine, PC (18:3(9Z,12Z,15Z)/18:0) and curdione, and negatively correlated with indoxylsulfuric acid, corticosterone, kynurenine and ornithine. Conclusion: Analysis revealed a reduction in the F/B ratio in mice with sepsis, thus contributing to the disturbance of 5'-methylthioadenosine, curdione, PC (18:3(9Z,12Z,15Z)/18:0), corticosterone, ornithine, indoxylsulfuric acid and kynurenine; eventually, these changes led to hippocampus dysfunction. Our findings provide a new direction for the management of sepsis-induced hippocampus dysfunction.

Covid-19 pandemic, social normative compliance, and sustainable consumption: Evidence from experiments.

This research aims to investigate the causal effects of consumers' Covid-19 pandemic experiences on their preferences for sustainable consumption. Drawing on social identity theory, we argue that pandemic experiences heighten consumers' awareness of the importance of adhering to collective social norms, subsequently motivating them to adopt sustainable consumption practices that promote collective interests. Through three preregistered experiments, we demonstrate that: (i) Covid-19 pandemic experiences increase consumers' preferences for sustainable consumption; (ii) this effect is more pronounced for individuals with severer pandemic experiences and females; (iii) pandemic experiences influence sustainable consumption preferences by enhancing consumers' social normative compliance. This study contributes to the understanding of Covid-19's consequences from a micro-level perspective of consumer behavior and offers insights into the factors driving consumers' sustainable consumption preferences.

DTX2 promotes glioma development via regulation of HLTF.

BACKGROUND: Human Deltex 2 (DTX2) is a ubiquitin E3 ligase that functions as an oncogene and has been shown to participate in many human cancers. However, the role of DTX2 in glioma progression has remained obscure. In this study, we explore the mechanism underlying the function of DTX2 in glioma progression. METHODS: The associations between DTX2 expression and clinical characteristics of glioma were determined by bioinformatic analysis of data from The Cancer Genome Atlas and Human Protein Atlas. The expression of DTX2 in glioma tissues was detected using immunohistochemistry and western blotting. Lentivirus-mediated gene knockdown and overexpression were used to determine the effects of DTX2 and helicase-like transcription element (HLTF) on glioma cell proliferation and migration with CCK-8, cell colony formation, transwell, and wound healing assays; flow cytometry in vitro; and animal models in vivo. The interaction of the DTX2 and HLTF proteins was verified by immunoprecipitation assay and confocal microscopy. RESULTS: DTX2 was highly expressed in glioma samples, and this was correlated with worse overall survival. Silencing of DTX2 suppressed glioma cell viability, colony formation, and migration and induced cell apoptosis. In vitro ubiquitination assays confirmed that DTX2 could downregulate HLTF protein levels by increasing ubiquitination of the HLTF protein. We also observed that HLTF inhibited proliferation and migration of glioma cells. Subcutaneous xenografts with DTX2-overexpressing U87 cells showed significantly increased tumor volumes and weights. CONCLUSIONS: We have identified DTX2/HLTF as a new axis in the development of glioma that could serve as a prognostic or therapeutic marker.

Integrated bioinformatics analysis and experimental validation identified CDCA families as prognostic biomarkers and sensitive indicators for rapamycin treatment of glioma.

The cell division cycle associated (CDCA) genes regulate the cell cycle; however, their relationship with prognosis in glioma has been poorly reported in the literature. The Cancer Genome Atlas (TCGA) was utilized to probe the CDCA family in relation to the adverse clinical features of glioma. Glioma single-cell atlas reveals specific expression of CDCA3, 4, 5, 8 in malignant cells and CDCA7 in neural progenitor cells (NPC)-like malignant cells. Glioma data from TCGA, the China Glioma Genome Atlas Project (CGGA) and the gene expression omnibus (GEO) database all demonstrated that CDCA2, 3, 4, 5, 7 and 8 are prognostic markers for glioma. Further analysis identified CDCA2, 5 and 8 as independent prognostic factors for glioma. Lasso regression-based risk models for CDCA families demonstrated that high-risk patients were characterized by high tumor mutational burden (TMB), low levels of microsatellite instability (MSI), and low tumor immune dysfunction and rejection (TIDE) scores. These pointed to immunotherapy for glioma as a potentially viable treatment option Further CDCA clustering suggested that the high CDCA subtype exhibited a high macrophage phenotype and was associated with a higher antigen presentation capacity and high levels of immune escape. In addition, hsa-mir-15b-5p was predicted to be common regulator of CDCA3 and CDCA4, which was validated in U87 and U251 cells. Importantly, we found that CDCAs may indicate response to drug treatment, especially rapamycin, in glioma. In summary, our results suggest that CDCAs have potential applications in clinical diagnosis and as drug sensitivity markers in glioma.

Global Trends in the Incidence of Anxiety Disorders From 1990 to 2019: Joinpoint and Age-Period-Cohort Analysis Study.

BACKGROUND: Anxiety disorders (ADs) are the most common mental illness with high prevalence, chronicity, and comorbidity. Despite rapid economic and cultural development, the global incidence of ADs continues to increase, with predominance in male individuals. OBJECTIVE: To address the above issues, we analyzed the dynamic trends of the global incidence and disease burden of ADs from 1990 to 2019 and their different effects on age, period, and birth cohort and predicted the future trend of AD incidence. METHODS: The data were obtained from the Global Burden of Disease study in 2019. A joinpoint regression model was used to calculate the annual percent change in AD incidence, and age-period-cohort analysis was used to estimate the independent effects of age, period, and cohort. Nordpred age-period-cohort analysis was used to predict the incidence of ADs from 2020 to 2044. RESULTS: The age-standardized incidence rate of ADs increased by 1.06% for both sexes, and the age-standardized disability-adjusted life-year (DALY) rate (ASDR) decreased by 0.12%. Joinpoint regression indicated that increments in average annual percent changes in the age-standardized incidence rate (0.068 vs 0.012) and ASDR (0.035 vs -0.015) for ADs globally were higher among male individuals than female individuals. The age-period-cohort analyses revealed that the relative risk (RR) of the incidence and DALYs of ADs among people of different sexes increased with age in adolescence and middle age and then decreased. For the period effect, the RR of incidence decreased, whereas the RR of DALYs increased in both sexes. Moreover, the RR of the incidence gradually increased and DALYs slowly decreased with birth year for both male and female individuals. New cases of ADs in male individuals are predicted to increase in the coming 25 years. CONCLUSIONS: This study provided the changing trend of the global incidence and disease burden of ADs in the past 3 decades, indicating that early prevention and effective control cannot be ignored. We analyzed the age-period-cohort effect of potential trends in ADs and predicted future incidence trends. The results suggest that we should take active intervention measures, focusing on high-risk groups and developing effective management and control policies to reduce the global burden of disease.

Unleashing the wind: The role of carbon reduction revenue in Shanghai's distributed wind power investments.

Distributed wind power has the potential to contribute significantly to China's carbon neutrality goals. However, the recent policy shift away from wind power subsidies necessitates a thorough examination of alternative revenue streams, such as carbon emission reduction benefits. In response to this need, our paper aims to assess the impact of carbon reduction revenue on the investment viability of distributed wind power projects. Employing the Monte Carlo method, we construct investment models for a case study based in Shanghai, incorporating variables like feed-in tariffs and carbon trading prices. Our analysis reveals that, although distributed wind power investments are generally feasible, optimal investment should be deferred until 2031 according to real options analysis. We further note that carbon reduction revenue can enhance the investment value and shorten the dynamic payback period of these projects; however, current low trading volumes and prices for carbon credits do not sufficiently compensate for the absence of subsidies.

A functional crosstalk between the H3K9 methylation writers and their reader HP1 in safeguarding embryonic stem cell identity.

Histone H3 lysine 9 (H3K9) methylation, as a hallmark of heterochromatin, has a central role in cell lineage and fate determination. Although evidence of a cooperation between H3K9 methylation writers and their readers has started to emerge, their actual interplay remains elusive. Here, we show that loss of H3K9 methylation readers, the Hp1 family, causes reduced expression of H3K9 methyltransferases, and that this subsequently leads to the exit of embryonic stem cells (ESCs) from pluripotency and a reciprocal gain of lineage-specific characteristics. Importantly, the phenotypes of Hp1-null ESCs can be rescued by ectopic expression of Setdb1, Nanog, and Oct4. Furthermore, Setdb1 ablation results in loss of ESC identity, which is accompanied by a reduction in the expression of Hp1 genes. Together, our data support a model in which the safeguarding of ESC identity involves the cooperation between the H3K9 methylation writers and their readers.

Board demographic characteristics, ownership structure, and multiple capitals disclosure: Evidence from heavily polluting firms.

Integrated Reporting (IR) is a sustainability-oriented reporting format, underpinned by six forms of capital. This study explores the association between Multiple Capitals Disclosure (MCD) and board demographic characteristics and ownership structure in heavily polluting Chinese firms from 2012 to 2016. We adopt upper echelons theory and agency theory as the theoretical foundation for this paper. Our results suggest that board gender diversity and institutional ownership are positively associated with MCD quality. However, board financial expertise appears to negatively affect MCD quality. These findings remain consistent across a series of sensitivity tests. The insights gleaned from this study will prove beneficial to scholars, the senior management, regulators, and policy-makers.

The value of basement membrane-associated genes in the prognosis and immune regulation of glioma.

Gliomas have a high incidence rate in central nervous tumors. Although many breakthroughs have been made in the pathogenesis and treatment of glioma, the recurrence and metastasis rates of patients have not been improved based on the uniqueness of glioma. Glioma destroys the surrounding basement membrane (BM), leading to local infiltration, resulting in the corresponding clinical and neurological symptoms. Therefore, exploring the biological roles played by BM associated genes in glioma is particularly necessary for a comprehensive understanding of the biological processes of glioma and its treatment. Differential expression and univariate COX regression analyses were used to identify the basement membrane genes (BMGs) to be included in the model. LASSO regression was used to construct the BMG model. The Kaplan-Meier (KM) survival analysis model was used to assess the prognosis discrimination between training sets, validation sets, and clinical subgroups. Receiver-operating characteristic (ROC) analysis was used to test the prognostic efficacy of the model. Use calibration curves to verify the accuracy of nomograms. Gene ontology (GO), Kyoto encyclopedia of genes and genomes (KEGG), and gene set enrichment analysis (GSEA) were used to analyze the function and pathway enrichment among the model groups. ESTIMATE and other 7 algorithms including CIBERSORT were used to evaluate the immune microenvironment. "pRRophetic" was used to evaluate drug sensitivity. This study demonstrated that high-risk genes (LAMB4, MMP1, MMP7) promote glioma progression and negatively correlate with patient prognosis. In the tumor microenvironment (TME), high-risk genes have increased scores of macrophages, neutrophils, immune checkpoints, chemokines, and chemokine receptors. This study suggests that BMGs, especially high-risk-related genes, are potential sites for glioma therapy, a new prospect for comprehensively understanding the molecular mechanism of glioma.

Zeolitic Imidazolate Framework-8 (ZIF-8) as a Drug Delivery Vehicle for the Transport and Release of Telomerase Inhibitor BIBR 1532.

Telomerase is constitutively overexpressed in the majority of human cancers and telomerase inhibition provides a promising broad-spectrum anticancer therapeutic strategy. BIBR 1532 is a well-known synthetic telomerase inhibitor that blocks the enzymatic activity of hTERT, the catalytic subunit of telomerase. However, water insolubility of BIBR 1532 leads to low cellular uptake and inadequate delivery and thus, limits its anti-tumor effects. Zeolitic imidazolate framework-8 (ZIF-8) is considered as an attractive drug delivery vehicle for improved transport, release and anti-tumor effects of BIBR 1532. Herein, ZIF-8 and BIBR 1532@ZIF-8 were synthesized, respectively, and the physicochemical characterizations confirmed the successful encapsulation of BIBR 1532 in ZIF-8 coupled with an improved stability of BIBR 1532. ZIF-8 could alter the permeability of lysosomal membrane probably by the imidazole ring-dependent protonation. Moreover, ZIF-8 encapsulation facilitated the cellular uptake and release of BIBR 1532 with more accumulation in the nucleus. BIBR 1532 encapsulation with ZIF-8 triggered a more obvious growth inhibition of cancer cells as compared with free BIBR 1532. A more potent inhibition on hTERT mRNA expression, aggravated G0/G1 arrest accompanied with an increased cellular senescence were detected in BIBR 1532@ZIF-8-treated cancer cells. Our work has provided preliminary information on improving the transport, release and efficacy of water-insoluble small molecule drugs by using ZIF-8 as a delivery vehicle.

Visualization and Analysis of Air Pollution and Human Health Based on Cluster Analysis: A Bibliometric Review from 2001 to 2021.

Bibliometric techniques and social network analysis are employed in this study to evaluate 14,955 papers on air pollution and health that were published from 2001 to 2021. To track the research hotspots, the principle of machine learning is applied in this study to divide 10,212 records of keywords into 96 clusters through OmniViz software. Our findings highlight strong research interests and the practical need to control air pollution to improve human health, as evidenced by an annual growth rate of over 15.8% in the related publications. The cluster analysis showed that clusters C22 (exposure, model, mortality) and C8 (health, environment, risk) are the most popular topics in this field of research. Furthermore, we develop co-occurrence networks based on the cluster analysis results in which a more specific keyword classification was obtained. These key areas include: "Air pollutant source", "Exposure-Response relationship", "Public & Occupational Health", and so on. Future research hotspots are analyzed through characteristics of the cluster groups, including the advancement of health risk assessment techniques, an interdisciplinary approach to quantifying human exposure to air pollution, and strategies in health risk assessment.

A Meta-analysis: Cost Comparison of Flow Diversion and Coil Embolization for Intracranial Aneurysm.

Background: Intracranial aneurysm serves as a prevalent cerebral disorder leading to the low-quality life and financial burden of the patients. Flow diversion and coil embolization have been confirmed as common therapeutic strategies for intracranial aneurysms. In this work, we identified and compared the cost between the flow diversion and coil embolization in the treatment of intracranial aneurysms in a meta-analysis. Methods: We downloaded literatures that are published before Feb 2021 from Cochrane Library, Embase, and Pubmed using terms including "flow diversion", "pipeline embolization device", "coil embolization", "coiling", "Intracranial aneurysms", and "Cerebral aneurysms". The data were analyzed by STATA 15.1. Differences in treatment costs were determined by WMD (95% CI). Results: A total of 1332 articles were included in the search of the limited terms, and 8 were selected after eliminating duplicate and unwanted studies. Our data indicated that the total cost of flow diversion for intracranial aneurysms is significantly lower than coil embolization (WMD = -4419.12, 95% CI: -6292.21 to -2546.03, p ≤ 0.001). In addition, we explored the retreatment hospitalization cost of flow diversion and coil embolization for intracranial aneurysms. We found that the retreatment hospitalization cost of flow diversion for intracranial aneurysms is significantly higher than coil embolization (WMD = 3203.85, 95% CI: 1904.60 to 4503.10, p ≤ 0.001). Conclusion: We concluded that the total cost was lower, and the retreatment hospitalization costs of flow diversion were higher than coil embolization for the treatment of intracranial aneurysms. Our finding provides valuable insights into the application of flow diversion and coil embolization in intracranial aneurysm therapy. Flow diversion may be applied as a major treatment with the consideration of retreatment.

Does Internet Entertainment Reduce the Cognitive Ability of Children? Evidence from the China Education Panel Survey.

Internet technology has been assimilated into children's educational system on an in-depth level. In particular, the number of children who use the internet for entertainment has been rapidly increasing. However, there has been a debate as to whether internet entertainment can have a detrimental impact on children's cognitive ability. This paper investigates the effect of internet entertainment on the cognitive ability of children in the Chinese context. The results show no evidence of associations between internet entertainment and children's cognitive ability. However, the additional analysis provides preliminary evidence suggesting that internet entertainment can be beneficial to children who use it for entertainment only on weekends but detrimental for those who spend leisure time online daily. In addition, the findings are robust in a variety of sensitivity tests. We also examine whether the effects of internet entertainment on children's cognitive ability in different family environments are heterogeneous. The findings suggest that parents' internet habits, parents' internet supervision, parental relationship, family education and living area play a moderating role in the relationship between internet entertainment and children's cognitive ability. This study offers useful insights into the current global debate on the nexus between internet entertainment and children's cognitive ability and also provides suggestions for parents, children, regulators and policymakers.

Risk Factors for Recurrence of Intracranial Aneurysm After Coil Embolization: A Meta-Analysis.

Intracranial aneurysm is a severe cerebral disorder involving complicated risk factors and endovascular coiling is a common therapeutic selection for intracranial aneurysm. The recurrence is a clinical challenge in intracranial aneurysms after coil embolization. With this study, we provided a meta-analysis of the risk factors for the recurrence of intracranial aneurysm after coil embolization. Nine studies were included with a total of 1,270 studies that were retrieved from the database. The sample size of patients with intracranial aneurysms ranged from 241 to 3,530, and a total of 9,532 patients were included in the present meta-analysis. The intracranial aneurysms that occurred in middle cerebral artery (MCA) (OR = 1.09, 95% CI: 1.03-1.16, P = 0.0045) and posterior circulation (OR = 2.01, 95% CI: 1.55-2.60, P = 0.000) presented the significantly higher risk of recurrence after coil embolization. Meanwhile, intracranial aneurysms of size > 7 mm (OR = 5.38, 95%CI: 3.76-7.70, P = 0.000) had a significantly higher risk of recurrence after coil embolization. Moreover, ruptured aneurysm (OR = 2.86, 95% CI: 2.02-4.04, P = 0.000) and subarachnoid hemorrhage (SAH) (OR = 1.57, 95% CI: 1.20-2.06, P = 0.001) was positively correlated with the risk of recurrence after coil embolization. In conclusion, this meta-analysis identified the characteristics of intracranial aneurysms with MCA, posterior circulation, size > 7 mm, ruptured aneurysm, and SAH as the risk factors of recurrence after coil embolization for intracranial aneurysms.

Comparison of Conventional Logistic Regression and Machine Learning Methods for Predicting Delayed Cerebral Ischemia After Aneurysmal Subarachnoid Hemorrhage: A Multicentric Observational Cohort Study.

Background: Timely and accurate prediction of delayed cerebral ischemia is critical for improving the prognosis of patients with aneurysmal subarachnoid hemorrhage. Machine learning (ML) algorithms are increasingly regarded as having a higher prediction power than conventional logistic regression (LR). This study aims to construct LR and ML models and compare their prediction power on delayed cerebral ischemia (DCI) after aneurysmal subarachnoid hemorrhage (aSAH). Methods: This was a multicenter, retrospective, observational cohort study that enrolled patients with aneurysmal subarachnoid hemorrhage from five hospitals in China. A total of 404 aSAH patients were prospectively enrolled. We randomly divided the patients into training (N = 303) and validation cohorts (N = 101) according to a ratio of 75-25%. One LR and six popular ML algorithms were used to construct models. The area under the receiver operating characteristic curve (AUC), accuracy, balanced accuracy, confusion matrix, sensitivity, specificity, calibration curve, and Hosmer-Lemeshow test were used to assess and compare the model performance. Finally, we calculated each feature of importance. Results: A total of 112 (27.7%) patients developed DCI. Our results showed that conventional LR with an AUC value of 0.824 (95%CI: 0.73-0.91) in the validation cohort outperformed k-nearest neighbor, decision tree, support vector machine, and extreme gradient boosting model with the AUCs of 0.792 (95%CI: 0.68-0.9, P = 0.46), 0.675 (95%CI: 0.56-0.79, P < 0.01), 0.677 (95%CI: 0.57-0.77, P < 0.01), and 0.78 (95%CI: 0.68-0.87, P = 0.50). However, random forest (RF) and artificial neural network model with the same AUC (0.858, 95%CI: 0.78-0.93, P = 0.26) were better than the LR. The accuracy and the balanced accuracy of the RF were 20.8% and 11% higher than the latter, and the RF also showed good calibration in the validation cohort (Hosmer-Lemeshow: P = 0.203). We found that the CT value of subarachnoid hemorrhage, WBC count, neutrophil count, CT value of cerebral edema, and monocyte count were the five most important features for DCI prediction in the RF model. We then developed an online prediction tool (https://dynamic-nomogram.shinyapps.io/DynNomapp-DCI/) based on important features to calculate DCI risk precisely. Conclusions: In this multicenter study, we found that several ML methods, particularly RF, outperformed conventional LR. Furthermore, an online prediction tool based on the RF model was developed to identify patients at high risk for DCI after SAH and facilitate timely interventions. Clinical Trial Registration: http://www.chictr.org.cn, Unique identifier: ChiCTR2100044448.

The Effects of Mandatory CSR Disclosure on Tax Avoidance and Tax Incidence.

The implementation of China's mandatory corporate social responsibility (CSR) disclosure in 2008 provides us with a natural experiment setting. In this paper, we examine the effects of mandatory CSR disclosure on the levels of firms' tax avoidance and tax incidence. By using a difference-in-differences model, we predict and find that mandatory CSR reporting firms tend to be less tax aggressive. Then we test who bears the burden of the effective tax rate increase. It shows that the increase of effective tax rate causes a drop in firm output and imposes a tax burden on the firms' consumers. The reduction in output also reduces demand for the firms' inputs and after-tax returns, passing tax burden to suppliers, other stakeholders, employees, and shareholders. In contrast, there is no evidence that the decrease of firms' tax avoidance activities influences the tax incidence of governments, banks, and other creditors. These findings provide evidence that mandatory CSR disclosure changes firm tax planning activities and indeed influences the costs of various stakeholders.

Global epidemiology of leprosy from 2010 to 2020: A systematic review and meta-analysis of the proportion of sex, type, grade 2 deformity and age.

The objectives of this study were to explore global epidemiological characteristics of leprosy, and to provide reference for the construction of prevention strategies for leprosy. Computer retrieval of the study on the epidemiology of leprosy from 2010 to 2020 in Web of Science, PubMed, and SCOPUS databases were summarized. The included studies were assessed for the quality of the AHRQ; the proportions of the study indices were meta-analyzed with Stata 16.0. A random effects model was adopted to merge categories, including sex, type, grade 2 deformity (G2D) and age group for meta-analysis. The subgroup analysis used region as a stratification factor to analyze whether there were differences in the indicators. The meta-analysis included 30 studies totaling 11,353 cases. The global pooled proportion of male to female subjects with leprosy was 63% (95% CI 59%, 66%) to 37% (95% CI 34%, 41%), respectively. The pooled multibacillary proportion and paucibacillary proportion were 69% (95% CI 62%, 76%) and 31% (95% CI 24%, 38%), respectively. The pooled grade 2 deformity (G2D) proportion was 22% (95% CI 15%, 30%). Among age groups, the pooled children proportion was 11% (95% CI 8%, 13%), and the pooled adult proportion was 89% (95% CI 87%, 92%). The subgroup analysis indicated that epidemiological indicators varied from country to country. This study suggested that disparities existed between sex, type, grade 2 deformity (G2D) and age group characteristics of leprosy from country to country.

GBP2 facilitates the progression of glioma via regulation of KIF22/EGFR signaling.

Identifying the mechanism of glioma progression is critical for diagnosis and treatment. Although studies have shown that guanylate-binding protein 2(GBP2) has critical roles in various cancers, its function in glioma is unclear. In this work, we demonstrate that GBP2 has high expression levels in glioma tissues. In glioma cells, depletion of GBP2 impairs proliferation and migration, whereas overexpression of GBP2 enhances proliferation and migration. Regarding the mechanism, we clarify that epidermal growth factor receptor (EGFR) signaling is regulated by GBP2, and also demonstrate that GBP2 interacts directly with kinesin family member 22(KIF22) and regulates glioma progression through KIF22/EGFR signaling in vitro and in vivo. Therefore, our study provides new insight into glioma progression and paves the way for advances in glioma treatment.

Does Multiple Capitals Disclosure Affect the Capital Market? An Empirical Analysis in an Integrated Reporting Perspective.

Integrated reporting (IR), as a novel corporate reporting approach, focuses on how six forms of capital promote corporate value. This paper explores whether this kind of multiple capitals disclosure (MCD) framework has an impact on the capital market. Using a sample of Chinese A-share firms from 2012 to 2016, we examine the relationship between MCD quality and firm value. The results indicate that a higher MCD quality leads to a greater firm value. Our results are robust to a variety of sensitivity tests. Further evidence suggests that MCD quality could increase profitability by affecting the decision-making of non-financial stakeholders and enhance the value relevance of financial information by affecting the decision-making of investors. The paper helps understand how the IR approach affects the perception of investors on the value of a firm. The findings of the paper are of interest to academics, corporate management, investors, and governmental officials.

FRAT1 promotes the angiogenic properties of human glioblastoma cells via VEGFA.

Glioblastoma is a common central nervous system tumor and despite considerable advancements in treatment patient prognosis remains poor. Angiogenesis is a significant prognostic factor in glioblastoma, anti­angiogenic treatments represent a promising therapeutic approach. Vascular endothelial growth factor A (VEGFA) is a predominant regulator of angiogenesis and mounting evidence suggests that the Wnt signaling pathway serves a significant role in tumor angiogenesis. As a positive regulator of the Wnt/ß­catenin signaling pathway, frequently rearranged in advanced T­cell lymphomas­1 (FRAT1) is highly expressed in human glioblastoma and is significantly associated with glioblastoma growth, invasion and migration, as well as poor patient prognosis. Bioinformatics analysis demonstrated that both VEGFA and FRAT1 were highly expressed in most tumor tissues and associated with prognosis. However, whether and how FRAT1 is involved in angiogenesis remains to be elucidated. In the present study, the relationship between FRAT1 and VEGFA in angiogenesis was investigated using the human glioblastoma U251 cell line. Small interfering RNAs (siRNAs) were used to silence FRAT1 expression in U251 cells, and the mRNA and protein expression levels of VEGFA, as well as the concentration of VEGFA in U251 cell supernatants, were determined using reverse transcription­quantitative PCR, western blotting and ELISA. A tube formation assay was conducted to assess angiogenesis. The results demonstrated that siRNA knockdown significantly decreased the protein expression levels of FRAT1 in U251 cells and markedly decreased the mRNA and protein expression levels of VEGFA. Furthermore, the concentration of VEGFA in the cell supernatant was significantly reduced and angiogenesis was suppressed. These results suggested that FRAT1 may promote VEGFA secretion and angiogenesis in human glioblastoma cells via the Wnt/ß­catenin signaling pathway, supporting the potential use of FRAT1 as a promising therapeutic target in human glioblastoma.