LHX1 as a potential biomarker regulates EMT induction and cellular behaviors in uterine corpus endometrial carcinoma

Objectives: To investigate the expression of LHX1 and its role as a biomarker in the diagnosis and prognosis of Uterine Corpus Endometrial Carcinoma (UCEC). Methods: The Cancer Genome Atlas (TCGA) database was used to detect the expression level of LHX1 in UCEC cells and tissues, and to find out the effect of LHX1 on prognosis. Co-expressed genes were then identified by Spearman correlation analysis, and the protein-protein interaction network was constructed using Cytoscape software. The R “clusterProfiler” package was used to conduct Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses. A series of in vitro experiments were performed to evaluate LHX1 expression and detect UCEC cell proliferation, invasion, and migration. Western blotting was used to determine the effect of LHX1 on expression levels of Epithelial-Mesenchymal Transition (EMT)-related proteins. Results: LHX1 was upregulated in UCEC tissues and correlated with poor overall survival and disease-specific survival outcomes. Functional enrichment analysis suggested that genes co-expressed with LHX1 were enriched in cell adhesion. The expression of LHX1 was positively correlated with the expression levels of genes related to EMT induction and invasion. LHX1 can enhance the proliferation, migration, and invasion activities of UCEC cells in vitro, and alter the expression levels of EMT-related proteins. Conclusion: LHX1 expression was highly upregulated in UCEC cells and tissues, which was correlated with the prognosis of patients with UCEC. LHX1 may regulate UCEC progression at least in part by modulating EMT induction

Effect of ursolic acid on obesity-induced insulin resistance in rat liver

Purpose: To determine the expression of protein tyrosine phosphatase-1B (PTP-1B) and insulin receptor substrate-2 (IRS-2) in the liver tissue of obesity-induced insulin-resistant rats.Methods: Insulin resistance (IR) was induced in Wistar rats by placing them on a high fat diet for 6weeks, and ursolic acid (UA) was administered. Metformin served as positive control drug. The rats were divided into 5 groups based on the  treatments given: normal group, positive control group, metformin group, high-dose UA group, and low-dose UA group. The general conditions of the rats were assessed 4 and 8 weeks after the various treatments. Liver glycogen levels were measured, and liver  histological examination carried out after tissue processing and staining with hematoxylin and eosin (H & E). Real-time polymerase chain reaction (RT-PCR) was employed for the determination of hepatic expressions of PTP-1B and IRS-2 mRNAs, while expressions of PTP-1B protein and IRS-2 protein, and  phosphorylation of IRS-2 tyrosine were assayed by Western blotting.Results: Liver glycogen levels were significantly increased in the UA-treated groups (p < 0.05). Moreover, UA provoked reductions in the expression of PTP-1B protein (p < 0.05), but up-regulated the expression of IRS-2 protein (p < 0.05), and enhanced IRS-2 tyrosine phosphorylation (p < 0.05).Conclusion: These results suggest that UA mitigates IR through blockage of PTP-1B expression and up-regulation of the expression of IRS-2 mRNA. Therefore, PTP-1B is a potential target for the treatment of type 2 diabetes.Keywords: Ursolic acid, Insulin resistance, Liver, Protein tyrosine phosphatase-1B, Insulin receptor substrate

Can Marketization Improve Sustainable Development in Northeastern China? Evidence from the Perspective of Coupling Coordination Degree Model

With the acquisition of sustainable development, pursuing the coordinated development of social economy and ecological environment has been a critical approach of Northeastern China. Since the reform and opening-up, marketization has profoundly affected the regional social economy. However, what role will marketization play in regional sustainable development? Can marketization improve sustainable development measured by the coupling coordination degree? This paper adopts the coupling coordination degree model (CCDM) to estimate the coupling coordination degree and further explore the impact of marketization on the coupling coordination degree in Northeastern China from 1994 to 2019. The results show that the average values of the static coupling degree (SCD), dynamic coupling degree (DCD), and coupling coordination degree (CCD) remained in a tiny coordinated state, which indicated that the level of sustainable development in Northeastern China is presented still primary from 1990 to 2019. Marketization has a significant negative impact on the coupling coordination degree, which indicates that marketization should be considered in the process of sustainable development in Northeastern China

catena-Poly[[[(1,10-phenanthroline-κ2 N,N′)zinc]-μ-pyridine-2,3-dicarboxyl­ato-κ4 N,O 2:O 2′,O 3] monohydrate]

In the title complex, {[Zn(C7H3NO4)(C12H8N2)]·H2O}n, the ZnII ion is in a distorted octa­hedral environment, defined by two N atoms from a chelating 1,10-phenanthroline (phen) ligand and one N atom and three O atoms from two pyridine-2,3-dicarboxyl­ate (2,3-pydc) ligands. The bridging 2,3-pydc ligands connect the ZnII ions into a chain extending along [010]. O—H⋯O hydrogen bonds between the uncoordinated water mol­ecules and the uncoordinated carboxyl­ate O atoms, as well as π–π inter­actions between the pyridine rings of the phen ligands [centroid–centroid distance = 3.557 (2) Å], are observed

Network analysis on the relationship between posttraumatic stress disorder, psychiatric co-morbidity and posttraumatic growth among Chinese adolescents

Background This study investigated the association between posttraumatic stress disorder (PTSD), psychiatric co-morbidity and posttraumatic growth (PTG) among Chinese adolescents using network analysis. Methods 867 Chinese adolescents (male = 424, female = 443) were recruited from three secondary schools. They completed the Posttraumatic Stress Disorder Checklist for DSM-5, the Posttraumatic Growth Inventory, and the General Health Questionnaire-28. Results Domains of each construct mainly clustered within their respective communities with several bridging edges identified. The prominent roles of bridging nodes and edges (positive and negative) were highlighted. Key bridging nodes were negative alterations in cognitions and mood for PTSD, anxiety and insomnia for psychiatric co-morbidity and appreciation of life for PTG. Limitations The cross-sectional nature of the present study may preclude the identification of real causal relationships between nodes. Conclusions Following a trauma, adolescents displayed posttraumatic stress along with general psychological disorder symptoms. These distress reactions could affect the way they appreciated life and their motivation to seek future life possibilities. Findings from the current study may provide some clue for the facilitation of posttraumatic growth among clinical patients

Experimental Study of Closed System in the Chlorine Dioxide-Iodide-Sulfuric Acid Reaction by UV-Vis Spectrophotometric Method

The mole ratio r(r = [I−]0/[ClO2]0) has great influence on ClO2-I−-H2SO4 closed reaction system. By changing the initiate concentration of potassium iodide, the curve of absorbance along with the reaction time was obtained at 350 nm and 297 nm for triiodide ion, and 460 nm for iodine. The changing point of the absorbance curve's shape locates at r = 6.00. For the reaction of ClO2-I− in the absence of H2SO4, the curve of absorbance along with the reaction time can be obtained at 350 nm for triiodide ion, 460 nm for iodine. The mole ratio r is equal to 1.00 is the changing point of the curve's shape no matter at which wavelength to determine the reaction. For the reaction of ClO2-I−-H+ in different pH buffer solution, the curve of absorbance along with the reaction time was recorded at 460 nm for iodine. When r is greater than 1.00, the transition point of the curve's shape locates at pH 2.0, which is also the point of producing chlorite or chloride for chlorine dioxide at different pH. When r is less than 1.00, the transition point locates at pH 7.0

Effects of land use, topography, climate and socio-economic factors on geographical variation pattern of inland surface water quality in China

The deterioration of water quality has become a primary environmental concern worldwide. Understanding the status of water quality and identifying the influencing factors are important for water resources management. However, reported analyses have mostly been conducted in small and focused areas. It is still unclear if factors driving spatial variation in water quality would be different in extended spatial scales. In this paper, we analyzed spatial pattern of inland surface water quality in China using a dataset with four water quality parameters (i.e., pH, DO, NH4+-N and CODMn) and the water quality level. We tested the effects of anthropogenic (i.e., land use and socio-economic) and natural (i.e., climatic and topographic) factors on spatial variation in water quality. The study concluded that the overall inland surface water quality in China was at level III (fair). Water quality level was strongly correlated with CODMn and NH4+-N concentration. In contrast to reported studies that suggested land use patterns were the determinants of inland surface water quality, this study revealed that both anthropogenic and natural factors played important roles in explaining spatial variation of inland surface water quality in China. Among the tested explanatory variables, mean elevation within watershed appeared as the best predictor for pH, while annual precipitation and mean air temperature were the most important explanatory variables for CODMn and DO, respectively. NH4+-N concentration and water quality level were most strongly correlated with the percent of forest cover in watershed. Compared to studies at smaller spatial scales, this study found different influencing factors of surface water quality, suggesting that factors may play different roles at different spatial scales of consideration. Therefore management policies and measures in water quality control must be established and implemented accordingly. Since currently adopted parameters for monitoring of inland surface water quality in China are largely influenced by natural variables, additional physicochemical and biological indicators are needed for a robust assessment of human impacts on water quality

Flattening Singular Values of Factorized Convolution for Medical Images

Convolutional neural networks (CNNs) have long been the paradigm of choice for robust medical image processing (MIP). Therefore, it is crucial to effectively and efficiently deploy CNNs on devices with different computing capabilities to support computer-aided diagnosis. Many methods employ factorized convolutional layers to alleviate the burden of limited computational resources at the expense of expressiveness. To this end, given weak medical image-driven CNN model optimization, a Singular value equalization generalizer-induced Factorized Convolution (SFConv) is proposed to improve the expressive power of factorized convolutions in MIP models. We first decompose the weight matrix of convolutional filters into two low-rank matrices to achieve model reduction. Then minimize the KL divergence between the two low-rank weight matrices and the uniform distribution, thereby reducing the number of singular value directions with significant variance. Extensive experiments on fundus and OCTA datasets demonstrate that our SFConv yields competitive expressiveness over vanilla convolutions while reducing complexity