bluuebunny/crossref_metadata_2025_split huggingface dataset:
Simultaneous CK2/TNIK/Dyrk1 inhibition by 108600 suppresses triple negative breast cancer stem cells and chemotherapy-resistant disease
Authors: Sato Katsutoshi , Padgaonkar Amol , Baker Stacey , Cosenza Stephen , Rechkoblit Olga , Subbaiah DRC Venkata , Domingo-Domenech Josep , Port Elisa , Reddy M.V. Ramana , Aggarwal Aneel , Irie Hanna , Reddy E. Premkumar 
Published: July 2020

Abstract
Triple negative breast cancer (TNBC) remains clinically challenging as patients have heterogeneous responses to current standard of care therapies. Chemotherapy sensitivity is a strong predictor of long-term outcomes for patients, and incomplete response of early stage disease to chemotherapy treatment is associated with a much higher risk of disease relapse and metastatic progression, often occurring within a short time from initial diagnosis. Therefore, treatment strategies that target chemotherapy-resistant TNBC and/or enhance chemosensitivity would improve outcomes for these high-risk patients. Breast cancer stem cell-like cells (BCSC) have been proposed to represent a chemotherapy-resistant subpopulation within the tumor which are also responsible for tumor initiation, progression and metastases. Targeting this population could lead to improved TNBC disease control. We have identified a novel multi-kinase inhibitor 108600 from a screen for inhibitors of this TNBC BCSC population. 108600 treatment suppresses growth, colony and mammosphere forming capacity of the BCSC population. Treatment with 108600 induces G2M arrest and eventual apoptosis of TNBC cells in vitro and of TNBC xenografts in vivo, and overcomes chemotherapy (paclitaxel) resistance of triple negative patient-derived xenografts (PDX). Finally, treatment with 108600 and chemotherapy suppressed the growth of already established TNBC metastases, providing additional support for the clinical translation of this agent to clinical trials.
Slowing Down DNA Translocation through Solid-State Nanopores by Edge-Field Leakage
Authors: Wang Ceming , Sensale Sebastian , Pan Zehao , Senapati Satyajyoti , Chang Hsueh-Chia 
Published: July 2020

Abstract
Solid-state nanopores allow high-throughput single-molecule detection but identifying and even registering all translocating small molecules remain key challenges due to their high translocation speeds. We show here the same electric field that drives the molecules into the pore can selectively pin and delay their transport. A thin high-permittivity dielectric coating on slender bullet-shaped polymer nanopores permits electric field leakage at the pore tip to produce a voltage-dependent surface field on the upper periphery of the pore that can reversibly edge-pin entering molecules that can absorb conformally to the tip corner. This localized tip field renders molecular entry an activated process with sensitive exponential dependence on the bias voltage and molecular rigidity. The exponential sensitivity allows us to selectively prolong the translocation time of short single-stranded DNA molecules by up to 5 orders of magnitude, allowing discrimination against their double-stranded duplexes with 97% confidence. We show evidence that the leak-field pinned single-stranded DNA actually absorbs onto the edge before entering the pore, yielding translocation times as long as minutes.
Halomonas Venusta Mediated Detoxification and Biotransformation of Selenite Into Selenium Nanoparticles Exhibiting Various Biomedical Applications
Authors: Vaigankar Diviya Chandrakant , Dubey Santosh Kumar , Mujawar Sajiya Yusuf , Mohanty Ajeet Kumar 
Published: July 2020

Abstract
Marine environment is in constant threat due to anthropogenic activities which are involved in disturbing the aquatic flora and fauna due to accumulation of toxic metals and metalloids. The current study involves the use of microbial remediation strategy for reduction of toxic sodium selenite (Na2SeO3) into less toxic elemental Se (Se0) with concurrent synthesis of Se nanoparticles (SeNPs) possessing several biomedical potential. Selenite reducing bacterial strain isolated from Mandovi estuary of Goa, India was identified as Halomonas venusta based on 16S rRNA gene sequence analysis and designated as strain GUSDM4. It's maximum tolerance level for Na2SeO3 was 100 mM. The 2, 3-diaminonaphthalene based spectroscopic analysis clearly demonstrated 93% reduction of 4 mM Na2SeO3 to Se0 during late stationary growth phase of Halomonas venusta. Biosynthesis of SeNPs commenced within 4 h during log phase which was clearly evident from red colour in the growth medium and a characteristic peak at 265 nm revealed by UV-Vis spectrophotometry. The intracellular synthesis of SeNPs was confirmed by transmission electron microscopy (TEM) of these bacterial cells. Characterization of SeNPs by X-ray crystallography, TEM and energy dispersive X-ray analysis clearly demonstrated spherical SeNPs of 20-80 nm diameter with hexagonal crystal lattice. These SeNPs at 50 µg/mL exhibited 90% free radical scavenging activity and also demonstrated anti-biofilm activity at 20 µg/mL against common human pathogens which was evident by SEM analysis. These SeNPs interestingly revealed excellent dose-dependent and selective anti-proliferative activity against A549 cancer cell line and mosquito larvicidal activity against Aedes aegypti, Culex quinquefasciatus and Anopheles stephensi. Therefore, these studies have demonstrated amazing potential of marine bacterium, Halomonas venusta in bioremediation along with biosynthesis of SeNPs and their applications as free radical scavenger, anti-biofilm, chemo-therapeutic and larvicidal agents which is the first report of its kind.
Characteristics of the community-structure of A2O processes under different temperature conditions in plateau areas
Authors: Zong Yongchen , Li Yuanwei , Huang Decai , Hao Kaiyue , Lu Guanghua 
Published: July 2020

Abstract
Background: In this study, laboratory-scale A2O wastewater treatment was performed in Linzhi at an altitude of 3000 meters. Water temperatures were maintained at four operating conditions (25°C, 20°C, 15°C, and 10°C). Sludge in the aerobic tank was assessed by 16SrRNA sequencing and composition analysis. The Phylum, Class, Order, Family, Genus, and Species of the sludge were also confirmed.Results: The bacteria within the sludge showed significant differences at varying temperatures (P<0.05). A significant correlation between the bacteria numbers in anaerobic tanks and anoxic tanks also occurred. Indicators of community richness, community uniformity, community diversity and other areas showed differences. Significant differences in bacteria abundance were also observed and differed to those of previously reported superior community categories and proportions. T-tests were used to identify temperature-sensitive community at each level. Correlation analysis of environmental factors and colony structure further confirmed the association between temperature and colony structure (P<0.05). The removal rates of TP, TN, NH3-N, and COD were all affected by the sample community structure. The variety of colony structure include nitrifying bacteria, denitrifying bacteria, phosphorus accumulating bacteria and other bacterial differed, but their proportions were relatively low. Heatmaps were used to identify species sensitive to temperature, TP, TN, NH3-N, COD at the species level.Conclusions: Amongst the common dominant bacteria at the species level, Bacteroidetes_bacterium_OLB10 was significantly related to temperature. Other common dominant bacteria that were related to temperature metagenome_g__Gordonia, unclassified_f__Burkholderiaceae, uncultured_bacterium_g__norank_f__Saprospiraceae.
Depressive, Anxiety, and Burnout Symptoms on Health Care Personnel at a Month After COVID-19 Outbreak in Indonesia: A Documentary Research Using Rasch Model Analysis
Authors: Sunjaya Deni Kurniadi , Herawati Dewi Marhaeni Diah , Siregar Adiatma YM 
Published: July 2020

Abstract
Background: Health personnel who demonstrated close contact with patients with COVID-19, might experience a higher risk of infection and psychological problems. This study aims to explore depressive, anxiety, and burnout symptoms among health care personnel with a higher risk for psychological trauma.Methods: This study was a cross-sectional study using secondary data from an online assessment, which was conducted one month after the COVID-19 outbreak. A total of 544 respondents from 21 provinces in Indonesia were included. Data on depressive, anxiety, and burnout symptoms were transformed using the Rasch model. Data from health professionals in the higher risk group and the lower risk group were analyzed.Results: A higher percentage of health professionals experiencing depressive symptoms (22.8%), anxiety (28.1%), and burnout (26.8%) are found in the higher risk group. The chance for the higher risk group’s personnel to present with moderate and severe depressive symptoms, anxiety, and burnout are 5.3 (p < 0.05), 1.36 (p > 0.05), and 3.92 (p < 0.05) times higher, respectively. The probability for patient-induced burnout is 2.13 (p < 0.05) times higher and highest among the other burn out dimensions. The depressive symptoms complained were similar between groups: loneliness, sleep disturbances, difficulty concentrating, and inability to initiate activities. Loneliness demonstrates the highest logit value among the symptoms.Conclusions: Health professionals with direct contact and responsibility to treat COVID-19 patients exhibit a higher risk to experience depressive symptoms and burnout. Communication with peers and staying in contact with family needs to be encouraged. Physiological well-being should be considered for high-risk health personnel. Incentive or insurance guaranteed by the government or institution is essential as a reward and compensation during this period.
Molecular Characterization of G6PD Mutations Reveals the High Frequency of G6PD Aures in the Mon-Khmer Population
Authors: Sanephonasa Amkha , Cheepsunthorn Chalisa Louicharoen , Khaminsou Naly , Savongsy Onekham , Nuchprayoon Issarang , Leecharoenkiat Kamonlak 
Published: July 2020

Abstract
Background
The prevalence and genotypes of G6PD deficiency vary worldwide, with higher prevalence in malaria endemic areas. The first time assessment of G6PD deficiency prevalence and molecular characterization of G6PD mutations in the Mon-Khmer population were performed in this study.
Methods
A total of 252 unrelated Mon-Khmer participants residing in the Lao People's Democratic Republic (PDR) were recruited. All participant samples were tested for G6PD enzyme activity and G6PD gene mutations. The amplification refractory mutation system (ARMS)-PCR for detecting G6PD Aures was developed in this study.
Results
The G6PD mutations were detected in 11.51% (29/252) of the participants. The mutation pattern was homogenous, predominantly involving the G6PD Aures mutation (6.75%), followed by 1.19% G6PD Union and 0.79% each G6PD Jammu, G6PD Mahidol and G6PD Kaiping. One subject (0.4%) each carried G6PD Viangchan and G6PD Canton. Interestingly, one case of coinheritance of G6PD Aures and Quing Yan was detected in this cohort.
Conclusion
The G6PD Aures mutation is highly prevalent in Mon-Khmer ethnic group. The common G6PD variants in continental Southeast Asian populations, G6PD Viangchan, Canton, Kaiping, Union and Mahidol, were not prevalent in this ethnic group. The technical simplicity of the developed ARMS-PCR will facilitate the final diagnosis of the G6PD Aures.
Performance Analysis for Cooperative Jamming and Artificial Noise Aided Secure Transmission Scheme in Vehicular Communication Network
Authors: Qiu Bin , Jing Chao 
Published: July 2020

Abstract
Vehicular communication has emerged as a supporting technique for improving road traffic safety and efficiency in the intelligent transportation system (ITS). However, the wireless vehicular communication links may suffer from an eavesdropping threat due to the wireless broadcasting nature and high-mobility of vehicles. In practice, artificial noise (AN) assisted beamforming scheme can be utilized for fighting against multiple malicious eavesdroppers. Unfortunately, channel estimation errors caused by the high mobility of vehicles may lead to noise leakage at the legitimate receiver, thus resulting significant loss in the secrecy performance. In this paper, a joint cooperative jamming and AN aided secure transmission scheme is proposed in vehicular communication network by considering the imperfect channel state information(CSI). In this scheme, cooperative jammers are utilized for further enhancing physical layer security. We derive the closed-form expressions of the connection and secrecy outage probabilities in the presence of AN leakage and signal offset using a stochastic geometry approach. Furthermore, the proposed scheme is capable of maximizing the secrecy throughput in terms of relative vehicular velocity for balancing both the reliability and security of the legitimate link. We further comprehensively analyze the effect of key system parameters on secrecy performance through asymptotic analysis. Finally, the effectiveness of the proposed scheme is validated by numerical results.
Proposing A Reliable Method of Securing and Verifying the Credentials of Graduates through Blockchain
Authors: T Rama Reddy , Rayudu Srinivas , V Raghavendran Ch , R.V.S. Lalitha , B Annapurna 
Published: July 2020

Abstract
Education acts as a soul in the overall societal development, in one way or the other. Aspirants, who gain their degrees genuinely, will help society with their knowledge and skills. But the other side of the coin, the problem of fake certificates, is alarming and worrying. It has been prevalent in different forms from paper-based dummy certificates to replicas backed with database tampering and has increased to astronomic levels in this digital era. In this regard, an overlay mechanism using Blockchain technology is proposed to store the genuine certificates in digital form and verify them firmly whenever needed without delay. The proposed system makes sure that the certificates, once verified, can be present online in an immutable form for further reference and provides a tamper-proof concealment to the existing certification system. To confirm the credibility of the proposed method, a prototype of blockchain-based credential securing and verification system is developed in ethereum test network. The implementation and test results show that it is a secure and feasible solution to online credential management system.
Identification of IFITM1 with prognostic value in pancreatic cancer using network module-based analysis
Authors: Wu Lingyun , Zhu Xinli , Tang Mengmeng , Wang Lihong , Ma Chiyuan , Liang Tingbo , Yan Senxiang 
Published: July 2020

Abstract
Background: Despite improvements reported in diagnosis and treatments in recent decades, pancreatic cancer still characterized with poor prognosis and low survival rate among solid tumors. Intensive interests have grown in exploring novel predictive biomarkers, aiming to enhance the efficiency in early detection and treatment prognosis.Methods: In this study, we identified the differentially expressed genes (DEGs) in pancreatic cancer through analyzed five gene expression profiles, and established the functional modules according to the functional interaction (FI) network between DEGs.Results: Significant upregulation of the selected DEG, IFITM1, was evaluated in several bioinformatics online tools and verified with immunohistochemistry staining from 90 pancreatic cancer patients’ samples. Prognostic data showed that high expression of IFITM1 associated with poor survival and multivariate Cox regression analysis showed that IFITM1 was one of independent prognostic factor for the overall survival. Meanwhile, significant correlations of the expression of IFITM1 and the infiltration of immune cells were found by TIMER. Furthermore, higher level of IFITM1 was assessed in pancreatic cancer cell lines compared to normal human pancreatic duct epithelial cell and silencing IFITM1 in tumor cells remarkedly inhibited the cancer tumorigenicity.Conclusion: Collectively, our findings suggested that IFITM1 might have promising clinical utility for pancreatic cancer.
Overhydration and low serum prealbumin predict peritoneal dialysis-related peritonitis in continuous ambulatory peritoneal dialysis patients
Authors: Quy Quyen Dao Bui , Huy Tuan Pham Ngoc , Duc Loc Nguyen , Van My Pham , Huu Dung Nguyen , Duy Toan Nguyen , Viet Tien Tran , Do Quyet , Viet Thang Le 
Published: July 2020

Abstract
Background In this study, we focused on the role of overhydration (OH) and low serum prealbumin concentration in predicting 3-year peritonitis in continuous ambulatory peritoneal dialysis (CAPD) patientsMethods We measured serum prealbumin concentration and OH by body composition monitor on 278 CAPD patients (159 males and 119 females) to predict 3-year peritonitis. We created the baseline demographics of all patients with the mean age of 46 years and the median peritoneal dialysis (PD) duration of 21 months.Results After the 3-year follow-up, 44 patients diagnosed PD-related peritonitis (15.8%). Low education, serum albumin, prealbumin, high CRP-hs and OH were independent risk factors for predicting peritonitis during 36 months in CAPD patients. Based on the Kaplan–Meier analysis, we realized that patients with low prealbumin and high OH were the good predictors of 3-year peritonitis in CAPD patients (Prealbumin: AUC = 0.838, cut-off value = 32.5 mg/dL, Se = 90.9%, OH: AUC = 0.851, cut-off value = 1.33 L, Se = 79.5%, Sp = 85.5%), (Log-rank test p < 0.001).Conclusion Overhydration and low serum prealbumin level were the good predictors of PD-related peritonitis in CAPD patients.
Perinatal Outcomes in Cystic Fibrosis Women: Data From the Italian Cystic Fibrosis Registry.
Authors: Padoan Rita , Quattrucci Serena , Amato Annalisa , Salvatore Marco , Giordani Barbara , Salvatore Donatello , Campagna Giuseppe 
Published: July 2020

Abstract
Data from the Italian Cystic Fibrosis Registry (ICFR) concerning pregnancies in the period 2010-2015 were used to investigate the association between the pre-conception clinical status and perinatal outcomes of women with CF.

The assessed clinical variables were genotype, pre-conception age, the body mass index (BMI), and the percentage of predicted forced expiratory volume in one second (ppFEV1); the analysed outcomes were gestational age, birth weight (BW), and the frequency of caesarean deliveries.

Complete information concerning mother and child was available for 56 pregnanciesthat came to term. The median pre-conception age was 30.8 years (18.7-42.3); median BMI was 21.5 kg/m2(16.5-26.8); and median ppFEV1was 73.9% (30-128%).Twenty-four women (42.8%) carried class I-III mutations, and 25 (44.8%) at least one mutation conferring residual CFTR function or having variable clinical consequences.
The median duration of pregnancy was 37 weeks (31-41), and the frequency of prematurity was 28.30%. Median BW was 2,910 g (1,300-3,650). There was a positive correlation between BMI and ppFEV1 in comparison with BW (r=0.29 andr=0.31 by p=0.048 and p=0.032, respectively), but no correlation between age and BW. The overall frequency of caesarean sections was 63.64%, but it was 77.27% among the women with severe genotypes. A lower ppFEV1 corresponded to a lower BW (p=0.047). Respiratory function had no effect on the percentage of caesarean deliveries.

The nutritional status and respiratory function of CF mothers correlate with their newborn’s BW. Caesarean sections are very frequent, even in young women with normal lung function.
Prognostic models for predicting overall and cancer-specific survival in hepatocellular carcinoma: A competing risk analysis
Authors: Lin Kongying , Huang Qizhen , Ding Zongren , Zeng Yongyi , Liu Jingfeng 
Published: July 2020

Abstract
Objectives

This study was conducted to estimate the probability of cancer-specific survival (CSS) of HCC and establish a competing risk nomogram for predicting the CSS of HCC using a large population-based cohort.
Methods

Patients diagnosed with HCC between 2004 and 2015 were identified from the Surveillance Epidemiology and End Results Program. The CSS and overall survival (OS) were the endpoints of the study. A competing risk nomogram for predicting CSS was built with Fine and Gray’s competing risk model, and the nomogram for predicting OS was constructed with Cox proportional hazard regression models. The predictive performance of the model was tested in terms of discrimination and calibration.
Results

A total of 34,957 patients were included in the study and randomly divided into a training set and validation set at a ratio of 9:1. Multivariate analysis identified age, race, sex, surgical therapy, chemotherapy, radiotherapy, tumour diameter, and tumour staging as independent predictive factors of CSS. Additionally, marital status was identified as an independent predictive factor of OS. Using these factors, corresponding nomograms were constructed for CSS and OS. In the validation set, the concordance-index of the two nomogram models reached 0.810 and 0.750, respectively. Calibration curves revealed good consistency between the prediction of models and observed outcome. Furthermore, cumulative incidence function analysis and Kaplan-Meier analysis divided patients into four distinct risk subgroups, supporting the predictive performance of the models.
Conclusions

In this population-based analysis, we developed and validated nomograms for individualized prediction of CSS and OS in patients with HCC.
Liposomes Embedded in Layer by Layer Constructs as Simplistic Exosome Transfer Model
Authors: Prieto Gerardo , Domínguez-Arca Vicente , Costa Rui R. , Carvalho Ana M. , Taboada Pablo , Reis Rui L. , Pashkuleva Iva 
Published: July 2020

Abstract
Background. Exosomes are extracellular vesicles originating from the exfoliation of the cellular membrane. They are involved in cell-to-cell and cell-to-matrix signaling, exchange of bioactive molecules, tumorigenesis and metastasis, among others. To mitigate the limited understanding of exosome transfer phenomena, we developed a simplistic model that mimics exosomes and their interactions with cells and the extracellular matrix. The proposed model is a layer-by-layer (LbL) film built from the polycationic poly-L-lysine (PLL) and the glycosaminoglycan hyaluronic acid (HA) to provide ECM mimicry. Positively charged 1,2-dipalmitoyl-sn-glycero-3-phosphocholine (DPPC) and N1,N1,N14,N14-tetramethyl-N1,N14-ditetradecyltetradecane-1,14-diaminium dibromide (GS14) liposomes were embedded in this construct to act as exosome analogs.Results. To simulate exosomes carrying substances, Nile Red was loaded as a model of lipophilic cargo molecules. The integration of each component was followed by quartz-crystal microbalance measurements, which confirmed the immobilization of intact liposomes on the underlying (PLL/HA)3 soft film. The release of Nile Red from liposomes either embedded in the LbL construct or exposed at its surface revealed a fast first order release. This system was validated as a model for exosome/cell interactions by incubation with breast cancer cells MDA-MB-231. We observed higher internalization for embedded liposomes when compared with surface-exposed ones, showcasing that the ECM mimic layers do not constitute a barrier to liposome/cell interactions but favor them.Conclusions. Our findings indicate that the developed model enhances the structural stability of liposomes and induces endocytosis from breast cancer cells. We envisage that the internalization can be tuned by exploring different levels of embedment to achieve a cellular uptake modulated in a spatiotemporal dependent manner. The versatility provided by the LbL technique will allow incorporating additional specialized biomaterials to better mimic the structure and composition of exosomes and their role in cell-to-cell communications.