bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dapagliflozin promotes white adipose tissue browning though regulating angiogenesis in high fat induced obese mice
Authors: Xiang Lin , Liu Min , Xiang Guangda , Yue Ling , Zhang Junxia , Xu Xiaoli , Dong Jing 
Published: June 2023

Abstract
Browning of white adipose tissue (WAT) is become an appealing target for therapeutics in the treatment of obesity and related metabolic diseases. Dapagliflozin is widely used in the treatment of type 2 diabetes, and it is also found that the drug exhibits regulate systemic metabolism such as obesity, insulin resistance and hepatic steatosis. However, the precise role of dapagliflozin on WAT remodeling remains to be elucidated. The current study aimed to explore the role of dapagliflozin on WAT browning in high-fat diet (HFD)-induced obesity mouse. C57BL/6J male mice were used to establish obesity model by following feeding with HFD. The mice were randomly treated with or without dapagliflozin for the experimental observation. The volume and fat fraction of WAT were quantified, H&E staining and immunohistochemistry were conducted to investigate the white-to-brown fat conversion and adipose tissue angiogenesis in WAT respectively. qPCR was employed to explore the mRNA expression levels of genes involved in fat browning and angiogenesis in WAT. Subsequently, 3T3-L1 cells were used to explore the effect of dapagliflozin on preadipocytes differentiation in vitro. Our results demonstrated that dapagliflozin could reduce body weight gain and improve the metabolic phenotypes in HFD mice via regulating lipogenesis and angiogenesis of WAT. Furthermore, dapagliflozin reduce cells differentiation, up-regulate expression of WAT browning and angiogenesis genes in 3T3-L1 adipocytes in vitro. In conclusion, dapagliflozin promotes white adipose tissue browning in HFD induced obese mice via improving lipogenesis and angiogenesis in adipose tissue.
In vitro parasiticidal effects of PIK-75 inhibition of Nrf2 against Echinococcus granulosus protoscoleces
Authors: Tang Guangyao , Liu Ziyu , Wang Longjun , Liu Sheng , Yang Bin , Lv Hailong 
Published: June 2023

Abstract
Introduction The aims of this study were to investigate the role of the nuclear factor E2-related factor 2 (Nrf2) signaling pathway in Echinococcus granulosus protoscoleces, and to examine the effects of PIK-75 inhibition on Nrf2 activity.
Methods Nrf2 protein expression and localization in protoscoleces were examined via confocal immunofluorescence microscopy. Reactive oxygen species (ROS detection kit) was used to detect ROS level in protoscoleces. The effects of PIK-75 on activity of heme oxygenase1(HO-1), NAD(P)H quinone oxidoreductase 1 (NQO1), glutathione peroxidase (GSH-Px) and thioredoxin peroxidase (TPx) were characterized using ELISA. Evidence of parasite damage and death was observed by scanning electron microscopy(SEM). Western bolting was used to detect the expression level of Nrf2 protein. In addition, caspase-3 activity was detected using an assay kit.
Results The study found that Nrf2 is primarily localized in the protoscoleces cytoplasm, and PIK-75 treatment could increased ROS level(P<0.05) in the early time, and reduced NQO-1, HO-1, GSH-Px and TPx (P<0.05) activity in protoscoleces. SEM showed that PIK-75-treated protoscoleces presented damage in the protoscoleces region. Western-blot showed that the Nrf2 protein expression had decreased significantly. Caspase-3 activity clearly increased in protoscoleces treated for 24 and 48 h with PIK-75 compared with that in controls (P<0.05).
Conclusion The present investigation demonstrated that PIK-75 had an inhibitory effect on the Nrf2 signaling pathway. We also provide evidence that PIK-75 may serve as a potential therapeutic agent for the treatment of protoscoleces. The use of PIK-75 as a treatment for protoscoleces, however, requires further research.
Anesthetic key points in a patient with a terminal ileum neuroendocrine tumor and a rare carcinoid left heart disease presented for non-cardiac surgery. Case Report
Authors: Ussel Kevin Van , Leonard Daniel , Watremez Christine , Robu Cristina Bianca 
Published: June 2023

Abstract

Background
Carcinoid tumors are rare neuroendocrine malignancies presenting in an increasing number in our center. The incidence of carcinoid tumors is approximatively 1 in 75000 of the population of whom about 50% develop carcinoid syndrome. Once the carcinoid syndrome has developed, a carcinoid cardiomyopathy can occur. Carcinoid heart disease (CaHD) remains a serious and rare complication associated with a significant increase in morbidity and mortality. Although carcinoid tumors have been known and studied for several years, there are still scarce data on the anesthetic management and the per operative period.
Case presentation:
We describe a case of a Caucasian 44-year-old woman with an unusual presentation of left CaHD with an ileal neuroendocrine tumor and liver metastases. Our preoperative somatostatin administration protocol, limit the cardiac damage. The maintenance of stable hemodynamics, the use of balanced anesthetic technic, all along with a good understanding of the pathology, played a major role in the successful management of anesthesia. This case report allows us to introduce our decision algorithm for the management of this type of pathology in our tertiary hospital, Cliniques Universitaires Saint-Luc.
Conclusion
Despite the paucity of data, anesthetic management of patients with carcinoid tumor can be safely performed with effective hemodynamic monitoring and a good understanding of the pathophysiology. Knowledge and application of a clear institutional algorithm for octreotide administration and multidisciplinary consultation at a referral center are essential for the management of these patients.
Fifty years of hemodialysis in Ghana - current status, utilization and cost of dialysis services
Authors: Tannor Elliot Koranteng , Hutton-Mensah Kojo , Opare-Addo Priscilla , Agyei Martin Kofi , Gyan Kwadwo Faka , Inusah Abdul-Jalil , Nyann Beatrice Irene , Amo-Antwi Kwabena , Luyckx Valerie , Okpechi Ikechi 
Published: June 2023

Abstract
Background
Kidney failure is common in Ghana. Haemodialysis(HD) is the most common treatment modality for survival. Although, HD has been available in Ghana for 50 years, the majority of patients who develop kidney failure cannot access it. We describe the state of HD, dialysis prevalence, its utilization and cost of HD after fifty years of dialysis initiation in Ghana.
Methods
A situational assessment of HDs centres in Ghana was conducted by surveying nephrologists, doctors, nurses and other health care professionals in HD centres from August to October 2022. We assessed the density of HD centres, number of HD machines, prevalence of nephrologists, number of patients receiving HD treatment and the cost of dialysis in private and government facilities in Ghana.
Results
There are 51 HD centres located in 9 of the 16 regions of Ghana. Of these, only 40 centres are functioning, as 11 had shut down or are yet to operate. Of the functioning centres most (n = 26, 65%) are in the Greater Accra region serving 17.7% of the population and 7(17.5%) in the Ashanti region serving 17.5% of the population in Ghana. The rest of the seven regions have one centre each. The private sector has twice as many HD centers (n = 27, 67.5%) as the public sector (n = 13,32.5%). There are 299 HD machines yielding 9.7 HD machines per million population (pmp) with a median of 6 (IQR 4–10) machines per centre. Ghana has 0.44 nephrologists pmp. Currently, 1195 patients receive HD, giving a prevalence of 38.8 patients pmp with 609(50.9%) in the private sector. The mean cost of HD session is US $53.9 ± 8.8 in Ghana.
Conclusion
There are gross inequities in the regional distribution of HD centres in Ghana, with a low HD prevalence and nephrology workforce despite a high burden of CKD. The cost of haemodialysis remains prohibitive and mainly paid out-of-pocket limiting its utilization.
Joint DNN partitioning and Resource Allocation for Completion Rate Maximization of Delay-Aware DNN inference Tasks in Wireless Powered Mobile Edge Computing
Authors: Tian Xianzhong , Xu Pengcheng , Shen Yifan , Shao Yuheng 
Published: June 2023

Abstract
With the development of smart Internet of Things (IoT), it has seen a surge in wireless devices deploying Deep Neural Network (DNN) models for real-time computing tasks. However, the inherent resource and energy constraints of wireless devices make local completion of real-time inference tasks impractical. DNN model partitioning can partition the DNN model and use edge servers to assist in completing DNN model inference tasks, but offloading also requires a lot of transmission energy consumption. Additionally, the complex structure of DNN models means partitioning and offloading across different network layers impacts overall energy consumption significantly, complicating the development of an optimal partitioning strategy. Furthermore, in certain application contexts, regular battery charging or replacement for smart IoT devices is impractical and environmentally harmful. The development of wireless energy transfer technology enables devices to obtain RF energy through wireless transmission to achieve sustainable power supply. Motivated by this, We propose a problem of joint DNN model partition and resource allocation in Wireless Powered Edge Computing (WPMEC). However, time-varying channel state in the WPMEC have a significant impact on resource allocation decisions. How to jointly optimize DNN model partition and resource allocation decisions is also a significant challenge. We propose an online algorithm based on Deep Reinforcement Learning (DRL) to solve the time allocation decision, simplifying a Mixed Integer Nonlinear Problem (MINLP) into a convex optimization problem. Our approach seeks to maximize the completion rate of DNN inference tasks within the constraints of time-varying wireless channel states and delay constraints. Simulation results show the exceptional performance of this algorithm in enhancing task completion rates.
Numerical simulation study of ultraviolet nanosecond laser ablation of Cu-Al2O3 dispersion strengthened alloys
Authors: Wang Yu , Wu Chunya , Ma Zhiyuan , Li Hui , Wu Xueqiang , Liu Chang , Li Xiguang , Chen Mingjun 
Published: June 2023

Abstract
A finite element model of nanosecond laser interaction with the Cu-Al2O3 dispersion strengthened alloys has been established according to the underlying mechanism of melting flow, phase transition and evaporation removal of material. Attempting to replicate the multi-field coupling effects in laser ablation process, this model takes both the thermophysical properties of materials varied with the temperature, and the evolution of erosion morphology under the instantaneous high-temperature action of pulsed laser into consideration. Moreover, the influence of coaction of diverse forces (including recoil pressure, surface tension, Marangoni force), the phase transformation and melting flow of material on the laser processing were also integrated into the model. On the basis of the proposed model, a FEM simulation study on the distribution of temperature field, formation process of erosion morphology, and numerical prediction of ablation depth in laser processing was performed. The deviation of the predicted values of ablation depth from the experimental results under the same power condition as the simulations can be controlled within 13%, indicating that the proposed simulation model can be adopted to effectively predict the width of heat affected zone and the width of recast layer under specific processing parameters.
Community green space moderates the relationship between family support and depression among older adults in urban China
Authors: Sun Qian , Guo Yingqi , Wang Youwei , Lu Nan 
Published: June 2023

Abstract

Background:This study examined the moderating effects of built environment attributes on the relationship between family social support and depressive symptoms among community-dwelling older adults in urban China.Methods:Quota sampling was used to recruit participants from Tianjin and Shijiazhuang. Face-to-face interviews were conducted with 799 respondents aged 60 years and older, in either their homes or local community centers. Hierarchical multiple regression models were used to test the proposed model.Results:This study found that family social support was negatively associated with depressive symptoms. Green spaces were negatively associated with depressive symptoms among older participants, although most indicators of the objective built environment attributes were not. The moderation analysis revealed a significant interaction effect between family social capital and green spaces on depressive symptoms. Specifically, living in areas with a higher percentage of green spaces may mitigate the negative effects of lower levels of family social support on depression.Conclusions:This study contributes a new direction for investigating the relationship between family social support and depressive symptoms among community-dwelling older adults in China by considering the moderating effect of objective built environment attributes. The findings may guide practices and urban design in mental health promotion for older adults. Specifically, this study provides evidence useful for both policy designers and urban planners by highlighting modifiable environmental and objective factors that can promote community mental health for older adults who find it difficult to obtain family support in modern society.
Construction of a diagnostic nomogram model for predicting the risk of lymph node metastasis in colon cancer: a retrospective study based on the SEER database
Authors: ZENG Weichao , SUN Yafeng , LIAO Zhengrong , XU Jianhua 
Published: June 2023

Abstract
Background.
Poor prognosis and frequent recurrence of colon cancer may be associated with lymph node metastasis. Early identification or prediction of lymphatic metastasis in colon cancer is important for improving treatment strategies and patient prognosis. In this study, we aimed to assess the rate of lymph node metastasis in patients with stage pT1 or pT2 colon cancer and screen for independent risk factors to develop a prediction model for the diagnosis of lymph node metastasis.
Methods.
According to the inclusion and exclusion criteria, 32,803 patients with stage pT1 or pT2 colon cancer who had undergone surgery were selected from the US Surveillance, Epidemiology, and End Results database. The predictive nomogram was internally validated using the validation set. Independent risk factors for lymph node metastasis were identified using univariate and multivariate logistic regression analysis. The discriminatory power, accuracy, and clinical utility of the model were evaluated using receiver operating characteristic (ROC) curve analysis, calibration curve analysis, and decision curve analysis, respectively.
Results.
A nomogram for predicting the risk of lymph node metastasis was developed using six independent risk factors identified through univariate and multivariate analyses. Calibration curve analysis demonstrated good agreement between the nomogram prediction and actual observation. Decision curve analysis showed excellent clinical utility of the prediction model. ROC curve analysis showed that the area under the curve (AUC) of the ROC of the predictive nomogram for lymph node metastasis risk was 0.6714 (95% CI: 0.6621–0.6806) in the training set and 0.6567 (95% CI: 0.6422–0.6712) in the validation set, indicative of good discriminatory power of the model.
Conclusion.
The novel nomogram established in this study can effectively predict the risk of lymph node metastasis in individual patients with stage pT1 or pT2 colon cancer, which allows clinicians to develop optimal treatment plans.
Ferroptosis related genes in amyotrophic lateral sclerosis: screening for potential pharmacological targets
Authors: Li Mingjuan , Li Xiaoyuan , Chi Xiaosa , Nie Maomao , Xie Anmu 
Published: June 2023

AbstractAs a new form of cell death, ferroptosis has been found to play an important role in motor neuron injury or death in amyotrophic lateral sclerosis (ALS). This study aims to explore a new direction for ALS treatment by screening potential drug targets related to ferroptosis. The ALS dataset GSE112676 was analyzed. Venn diagram was drawn to screen differential expression genes (DEGs) specifically related to ferroptosis. We annotated these DEGs functionally. The protein - protein interaction network was constructed by STRING and the hub genes was screened by Cytoscape. Candidate pharmacological compounds were screened by Connectivity Map. We found 20 DEGs related to ferroptosis in ALS. The biological processes involved in these genes mainly include temperature homeostasis, long-chain fatty-acyl-CoA metabolic process, fatty-acyl-CoA metabolic process, cellular response to external stimulus and regulation of peptidyl-serine phosphorylation. KEGG results showed that these genes were mainly involved in the ferroptosis signaling pathway. We constructed protein-protein interaction networks of DEGs and obtained the top 10 drugs recommended for ALS. This study revealed the potential role of genes related to ferroptosis in ALS by bioinformatics methods. Hub genes and potential drugs may become novel biomarkers for ALS treatment in the future.
The effects of the geometry parameters and oxidation on the localized surface plasmon resonance properties of copper nanoparticle thin film via calculation
Authors: Liu Zhonghua , Xu Bing , Chen Yuqing , Si Mengting , Chu Xiangqian , Fang Yingcui , Sun Mengtao T. 
Published: June 2023

Abstract
Copper nanoparticles (CuNPs) possess localized surface plasmon resonance (LSPR) effect. Cu thin films composed of individual CuNPs present stronger LSPR effect than the individual CuNP due to the LSPR coupling among CuNPs. However, the LSPR of CuNPs in ambient conditions is rapidly damped due to oxidization. This has seriously hindered the applications based on the LSPR of CuNPs. Simulation of the variations of the coupled LSPR intensity and peak position of two adjacent CuNPs with the geometric parameters, ambient refractive index, and the thickness of oxide shell formed during oxidation is of great importance for understanding the mechanisms of the strong LSPR of CuNPs thin films and their rapid attenuation. In this paper, Discrete-dipole approximation method is used to simulate the extinction spectra of two adjacent spherical CuNPs as a function of ambient refractive index (n), the diameter (D) of the CuNPs, the inter-nanoparticle spacing (L) between two CuNPs, and the thickness (t) of the shell. The calculated results were compared with the experimental results. It is concluded that when the thickness of the oxide shell is small (t/R < 0.5), increasing of n and decreasing of L/D of two adjacent CuNPs have an obvious synergistic effect which brings in the LSPR intensity enhanced and the peak redshift. But when the oxide shell thickness is large (t/R > 0.5), the LSPR intensity is weakened and the peak shows blue shift. These results provide theoretical supports for rational selection and control of the parameters of CuNPs thin films and for various applications based on the LSPR of the CuNPs.
Clinical utility of inflammatory and nutritious index as therapeutic prediction of nivolumab plus ipilimumab in advanced NSCLC
Authors: Yamaguchi Ou , Kaira Kyoichi , Imai Hisao , Mouri Atsuto , Shiono Ayako , Miura Yu , Hashimoto Kosuke , Kobayashi Kunihiko , Kagamu Hiroshi 
Published: June 2023

Abstract
Background
Biomarkers for predicting the outcome of ipilimumab plus nivolumab (Nivo-Ipi) treatment in cancer patients have not been identified. Herein, we investigated the prognostic significance of inflammatory and nutritional markers in patients with advanced non-small cell lung cancer (NSCLC) receiving Nivo-Ipi.
Methods
Our study retrospectively analyzed 101 patients with advanced NSCLC who received Nivo-Ipi at a single institution. Inflammatory and nutritional indices were correlated with patient outcomes and included the neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), systemic immune-inflammation index (SII), prognostic nutritional index (PNI), advanced lung cancer inflammation index (ALI), and Glasgow prognostic score (GPS).
Results
The NLR significantly correlated with the PLR, SII, PNI, ALI, and GPS. Regarding therapeutic efficacy, the NLR, SII, and PNI predicted a partial response, and all indices predicted progressive disease. In subgroup analyses, the SII, PNI, and ALI predicted the outcome of patients with adenocarcinoma, whereas only the PNI predicted the outcome of patients without adenocarcinoma. The PNI and SII were the most useful indices in patients with a programmed death ligand-1 expression level of < 1% and ≥ 1%, respectively.
Conclusion
The NLR, PLR, SII, PNI, ALI, and GPS were significantly associated with the outcome of Nivo-Ipi treatment in patients with NSCLC. The PNI was the most suitable marker regardless of histological type. The SII and PNI were the most promising markers for patients with and without PD-L1 expression, respectively.
Synthesis and characterization of a new oxovanadium Schiff base of salicylaldehyde-arginine- hydroxyquinoline: antibacterial and antifungal activities determination
Authors: Kohanfekr Tahmineh , Hakimi Mohammad , Hassani Hassan , Hosseini Hasanali 
Published: June 2023

Abstract
A new oxovanadium complex, [VO(Sal-Arg)(Hq)] (Sal = salicylaldehyde, Arg = L-arginine, and Hq = 8-hydroxyquinoline), was synthesized in methanol and characterized by 1HNMR, UV–Vis, and FTIR spectroscopy as well as cyclic voltammetry and elemental analysis techniques. These results suggest an octahedral geometry, with a 1:1 molar ratio of tridentate Schiff base and bidentate quinoline ligands coordinated with vanadium (V) and formed a stable complex in the air.To investigate the in vitro antimicrobial activity of the Schiff Base, the title complex was compared with complex [VO(C9H6NO)2(CH3O)] (as an oxovanadium complex coordinated with two chelating quinolin-8-olate ligands) against some gram-positive (Staphylococcus aureus, Enterococcus faecalis (Group D Streptococcus), Bacillus subtilis), gram-negative bacteria (Escherichia coli), and fungal strains (Candida albicans, Aspergillus Niger). The Schiff base oxovanadium complex showed significant activity against most tested microorganisms, with varying degrees of inhibition zone diameters compared to the [VO(C9H6NO)2(CH3O)] complex. The presence of the azomethine group in the[VO(Sal-Arg)(Hq)] structure inhibits enzyme activity in the bacterial membrane.
Broad sialic acid usage amongst species D human adenovirus.
Authors: Parker Alan , Mundy Rosie , Baker Alexander , Bates Emily , Cunliffe Tabitha , Teijeira-Crespo Alicia , Moses Elise , Rizkallah Pierre 
Published: June 2023

Abstract
Human adenoviruses (HAdV) are widespread pathogens causing usually mild infections. The Species D (HAdV-D) cause gastrointestinal tract infections and epidemic keratoconjunctivitis (EKC). Despite being significant pathogens, knowledge around HAdV-D mechanism of cell infection is lacking. Sialic acid (SA) usage has been proposed as a cell infection mechanism for EKC causing HAdV-D. Here we highlight an important role for SA engagement by many HAdV-D. We provide apo state crystal structures of 7 previously undetermined HAdV-D fiber-knob proteins, and structures of HAdV-D25, D29, D30 and D53 fiber-knob proteins in complex with SA. Biologically, we demonstrate that removal of cell surface SA reduced infectivity of HAdV-C5 vectors pseudotyped with HAdV-D fiber-knob proteins, whilst engagement of the classical HAdV receptor CAR was variable. Our data indicates variable usage of SA and CAR across HAdV-D. Better defining these interactions will enable improved development of antivirals and engineering of the viruses into refined therapeutic vectors.