bluuebunny/crossref_metadata_2025_split huggingface dataset:
CIP4 Expression is Associated With The Prognosis in Colorectal Cancer
Authors: Zhang Keqian , Mao Tianqi , He Zhicheng , Wu Xiaojiao , Peng Yu , Chen Yanrong , Dong Yan , Ruan Zhihua , Wang Zhe 
Published: October 2020

Abstract
Background: This study was conducted to detect the expression of Cdc42 interacting protein 4 (CIP4) in patients with colorectal cancer (CRC), and explore the role of CIP4 in prognosis of CRC patients.Methods: The expression of CIP4 mRNA was determined by quantitative real-time PCR (qRT-CPR) and compared by student’s t-test between groups. Relationships of clinical characteristics and CIP4 expression were analyzed by Chi-square test. Kaplan-Meier curves were used to estimate the overall survival of CRC patients. And Cox regression analysis was conducted to identify the prognostic biomarkers for CRC patients.Results: The qRT-PCR results showed that CRC tissues were detected with significantly high CIP4 mRNA expression compared with adjacent normal controls (P<0.0001). The overexpression of CIP4 in CRC tissues was influenced by distant metastasis (P=0.021), lymphatic invasion (P=0.012) and TNM stage (P=0.006). But, other clinical factors including age, gender, differentiation and tumor site were proved to have no obvious effects on CIP4 expression (all, P>0.05). The survival curves showed that patients with high CIP4 expression generally lived shorter than those with low CIP4 expression (P<0.001). In addition, the multivariate analysis revealed that differentiation (P=0.044, HR=1.631, 95%CI=1.013-2.626) and CIP4 expression (P=0.000, HR=5.283, 95%CI=3.138-8.893) were of great prognostic significance for CRC patients.Conclusion: Taken together, up-regulation of CIP4 in CRC tissues represented poor prognosis for patients.
Curcumin Improve Tendinopathy via Regulation TLR4 Pathway in Vitro and Vivo Study
Authors: Jun Tu , Ruipeng Guo , Xu Bin 
Published: October 2020

Abstract
BackgroundTendon disorders are a common type of soft tissue disease mainly characterized by various tendon syndromes with chronic pain. The purpose of this study was to evaluate curcumin had effects to improve tendon disorders by vitro and vivo study.ResultsCurcumin shows pharmacological activities similar to that of traditional anti-inflammatory agents and favorable therapeutic effects on various chronic inflammation-related diseases. In our present study, we discussed curcumin had effects to improve tendinopathy by vitro and vivo study. In further research, the study clearly explained the mechanisms by vitro study. The results were shown that curcumin had effects to improved tendinopathy which induced by TLR4/NF-κB(p65) pathway activating in vivo and vitro experiments. However, with TLR4 supplement, the treatment effect of curcumin has been disappear. ConclusionCurcumin had effects to improve tedinopathy via regulation depressing TLR4/NF-κB(p65) pathway and suppressing p-NF-κB(p65) nuclear volume.
WITHDRAWN: Structural, Dielectric and Impedance Spectroscopy of Cerium Doped Bamno3 Single Perovskite
Authors: Achary P.G.R. , Khandai Soumakanta , Sahoo Priyabrata , Bhuyan R.K. , Choudhary R.N.P. , Parida S.K 
Published: October 2020

Abstract
The synthesis of barium cerium manganite (BaMn0.9Ce0.1O3) perovskite compound by using a high-temperature oxide mixing method is reported. Structural analysis suggests a hexagonal crystal structure with space group P63/mmc. The average crystallite size and micro-lattice strain of the sample are about 74.4 nm and 0.107% respectively. The SEM micrograph suggests the uniform distribution of grains through well-defined grain boundaries and average grain size is about 11.9 μm. The relaxation time of the electrical process is calculated using the analysis of the real and imaginary parts of the complex impedance data, which suggests that the grain plays a dominant role compare to grain boundaries in defining the conductivity in the sample. Increase of activation energy from 96.8 meV to 689.9 meV with rise of temperature supports thermally activated conduction process. The modulus study suggests the relaxation process is controlled by the immobile charge carriers in the host materials at low-temperature range while controlled by defects at higher temperatures. The presence of semicircular arcs in both Nyquist and Cole-Cole plots confirms the semiconducting nature of the sample and find applications in solid oxide fuel cells and scintillators.
A Method for Modeling and Simulation of Lossy Queuing System
Authors: Wang Miao 
Published: October 2020

Abstract
Queuing is a common phenomenon in daily life. The theory of queuing provides theoretical basis and optimization scheme for queuing in real life. However, due to the limitation of time and space, the queuing problem in real life is not an ideal queuing model, and the field verification of the queuing model with losses consumes a lot of manpower, material resources and financial resources. In this paper, a queuing model with loss mechanism was established by using color Petri net. One-dimensional random walk model was improved and introduced into the queuing system to further reveal the principle of loss in queuing. CPN tools were used to simulate the model. By comparing the experimental results with the actual results, the correctness of the model is proved, which fully indicates that the model can well explain the loss of queuing system in real life.
Overexpression of lncRNA MCM3AP-AS1&nbsp;in Sepsis Suppresses the Maturation of miR-223 to Promote LPS-induced Lung Cells
Authors: Gong Chunzhi , Wang Jianying , Liu Shupeng , Li Zunfeng , Liu Zhaoguo , Sun Chao , Zhang Quanyi 
Published: October 2020

Abstract
Background: Previous studies have showed that lncRNA MCM3AP-AS1 and miR-223 play opposite roles in LPS-induced inflammation, which contributes to the progression of sepsis. This study was therefore carried out to analyze the interactions between MCM3AP-AS1 and miR-223 in sepsis. Methods: Plasma samples were obtained from 62 sepsis patients and 62 healthy controls. Expression of MCM3AP-AS1, miR-223 precursor and mature miR-223 in plasma samples was determined by RT-qPCR. In human bronchial epithelial cells (HBEpCs), the interaction between MCM3AP-AS1 and miR-223 was analyzed by overexpression experiments. Cell apoptosis assay was analyzed by cell apoptosis assay.Results: We found that MCM3AP-AS1 was upregulated in sepsis, while miR-223 was downregulated in sepsis. MCM3AP-AS1 and mature miR-223 were inversely correlated, while MCM3AP-AS1 and miR-223 precursor were not. In HBEpCs, LPS treatment resulted in the upregulation of MCM3AP-AS1 and downregulation of miR-223. In HBEpCs, MCM3AP-AS1 overexpression downregulated mature miR-223 but failed to affect miR-223 precursor. In addition, MCM3AP-AS1 overexpression reduced the inhibitory effects of miR-223 on LPS-induced apoptosis of HBEpCs.Conclusions: LncRNA MCM3AP-AS1 is upregulated in sepsis and may suppress the maturation of miR-223 to promote LPS-induced lung cells.
LncRNA CYTOR Regulates Chondrocyte Apoptosis in Osteoarthritis by Acting as a CeRNA for miR-10a-5p
Authors: Luo Jiayi , Wu Cheng , Liu Yuanxin , Fan Jiannan , Shang Xianwen , Liu Riguang , Ye Chuan , Yang Jihong , Cao Hong 
Published: October 2020

Abstract
Background: It has been reported that lncRNA CYTOR suppresses LPS-induced inflammation, which plays crucial roles in osteoarthritis (OA). This study was therefore performed to analyze the role of CYTOR in OA.Methods: Expression of CYTOR and miR-10a-5p in OA patients and chondrocytes as well as healthy patients and chondrocytes was determined by RT-qPCR. The interaction between CYTOR and miR-10a-5p was predicted by IntaRNA online program and confirmed by dual luciferase activity assay. The role of CYTOR and miR-10a-5p in regulating the apoptosis of chondrocytes were analyzed by cell apoptosis assay.Results: CYTOR was under-expressed in OA patients and chondrocytes, and miR-10a-5p was overexpressed in OA patients and chondrocytes. After treatment, CYTOR was upregulated and miR-10a-5p was downregulated. CYTOR was predicted to interact with miR-10a-5p, and the interaction between them was confirmed by dual luciferase reporter assay. Overexpression of CYTOR and miR-10a-5p failed to affect the expression of each other. Cell apoptosis analysis showed that CYTOR overexpression reduced the enhancing effects of miR-10a-5p overexpression on the apoptosis of OA chondrocytes. Conclusion: CYTOR may suppress the development of OA by serving as a ceRNA for miR-10a-5p.
Identification and Biological Characteristic Analysis of Pythium aristosporum Causing Rice Seedling Blight in Northeast China
Authors: Liu Jinxin , Xu Chuzheng , Han Wenbo , Li Yonggang 
Published: October 2020

Abstract
Background: Rice seedling blight caused by diverse pathogenic microorganism occurs worldwide, and it is currently the most important seedling disease affecting rice production in Northeast China. Understanding the biological characteristics, host range, and fungicide sensitivity of pathogens causing rice seedling blight has important theoretical and practical significance for further exploring occurrence of the disease and for making targeted prevention and control measures.Results: 10 isolates of Pythium spp. were obtained from rice seedling blight, according to Koch’s postulates, in Heilongjiang Province, China. Based on morphology, molecular biology, and phylogenetic tree analyses, the obtained fungal isolates were identified as P. aristosporum. The biological characteristics of P. aristosporum showed that the optimum fermentation conditions were as follows: temperature, 25°C; initial pH, 6; photoperiod, 24 h light; and carbon and nitrogen sources, starch and glycine, respectively. P. aristosporum causing rice seedling blight had a wide range of hosts and could infect tomato (Solanum lycopersicum), carrot (Daucus carota L.), sweetpotato (Ipomoea batatas), cucumber (Cucumis sativus L.), and zucchini (Cucurbita pepo L.), as well as seedlings of broad bean (Vicia faba L.), red bean (Vigna angularis), snailflower (Lablab purpureus (Linn.)Sweet), soybean (Glycine max), mung bean (Vigna radiata), kidney bean (Phaseolus vulgaris), and hyacinth bean (Dolichos lablab L.); however, it could not infect cabbage (Brassica oleracea L.) and maize (Zea mays L.) seedlings. We also evaluated P. aristosporum sensitivity to five commonly used fungicides and found that fludioxonil (EC50 = 0.0731 μg/ml) was the most effective against P. aristosporum.Conclusion: To our knowledge, this is the first report of P. aristosporum causing rice seedling blight in China. Fludioxonil is a relatively sensitive chemical fungicide against P. aristosporum. P. aristosporum causing rice seedling blight has a good environmental adaptability and a wide range of hosts, which poses a great threat to rice seedling production. Occurrence of the new disease caused by P. aristosporum should give full consideration for the use of proper disease management to protect rice.
Epigenetic and Three-dimensional Genomic Analysis of Long Non-coding and Circular RNAs&nbsp;in Xian/Indica Rice
Authors: Zhou Run , Sanz-Jimenez Pablo , Zhu Xi-Tong , Feng Jia-Wu , Shao Lin , Song Jia-Ming , Chen Ling-Ling 
Published: October 2020

Abstract
Background: Long non-coding RNAs (lncRNAs) and circular RNAs (circRNAs) can play important roles in many biological processes. However, no study of the influence of epigenetics factors or the 3D structure of the genome in their regulation is available in plants. Results: In the current analysis, we identified a total of 15,122 lncRNAs and 7,902 circRNAs in three tissues (root, leaf and panicle) of the rice varieties Minghui 63, Zhenshan 97 and their hybrid Shanyou 63. Above 73% of the lncRNAs and parental genes of circRNAs (P-circRNA) are shared among Oryza sativa with high expression specificity. Compared with protein-coding genes, lncRNAs have higher methylation levels. CircRNAs tend to locate in the middle of genes with high CG and CHG methylation. The activated lncRNAs and P-circRNA are mainly transcribed from demethylated regions containing CHH methylation. In addition, ~53% lncRNAs and ~15% P-circRNA are associated with transposable elements, especially miniature inverted-repeat transposable elements and RC/helitron. We didn’t find correlation between the expression of lncRNAs and histone modifications; however, the binding strength and interaction of RNAPII significantly affects lncRNA expression. In contrast, parental genes of circRNAs tend to combine active histone modifications. Finally, lncRNAs and circRNAs acting as competing-endogenous RNAs have the potential to regulate the expression of genes with important roles in the growth and development of rice. Conclusions: Together, our results provide insights into the epigenetic and regulatory mechanisms of lncRNAs and circRNAs in rice and open the door to increase our understanding of ncRNAs in plants.
C-type Natriuretic Peptide Promotes Adipogenic Differentiation of Goat Adipose Derived Stem Cells via cGMP/PKG/ p38 MAPK Signal Pathway
Authors: Fan Mingzhen , Yan Yutong , Miao Yuyang , Zhao Ying , Zhang Ziqing , Zhao Xiaoe , Ma Baohua , Wei Qiang 
Published: October 2020

Abstract
BackgroundTwo types of adipose tissue, white adipose and brown adipose, have been identified in mammals. For goat, adipose tissue also plays an important role in improving meat and milk quality. C-type natriuretic peptide (CNP) is a member of natriuretic peptide family. Once CNP binds to natriuretic peptide receptor B (NPR-B), NPR-B induces the production of cGMP, thereby activating PKG and downstream targets. The expression of CNP and NPR-B in adipose tissue led to a hypothesis that CNP could have roles involving in regulation of adipogenesis in goat. However, there are few studies on the relationship between CNP and adipogenesis in goat. In the present study, goat adipose derived stem cells (ADSCs) were isolated and employed to investigate the effect of CNP on adipogenesis in goat.ResultsDuring adipogenic differentiation in goat ADSCs, the expression of NPR-B increased at 4 d and 8 d and reduced at 12 d after differentiation. When goat ADSCs were treated with 100 nM and 1000 nM CNP during adipogenic differentiation, there are more accumulation of lipid droplets in the cytoplasm and the up-regulation in the expression of adipogenesis relative genes including PPAR-γ, FASN and LPL. Interestingly, the expression level of brown adipose genes UCP-1 and PGC-1α were also up-regulated. Furthermore, the cGMP level was increased after treatment with CNP. Adding cGMP analogues 8-pCPT-cGMP (PKG activator) could increase adipogenesis efficiency, and adding both PKG inhibitor Rp-8-CPT-cGMP and CNP inhibited adipogenic differentiation. After treatment with CNP or PKG activator, the phosphorylation of p38 MAPK, MK2 and ATF2 were up-regulated, and their phosphorylation were significantly inhibited when CNP and PKG inhibitor were added simultaneously. SB203580 is the specific inhibitor for p38 MAPK. After treatment with CNP and SB203580 simultaneously, the adipogenic differentiation efficiency of goat ADSCs was significantly inhibited, and the expression of UCP-1 and PGC-1α were also reduced. ConclusionsCNP could promote adipogenic differentiation of goat ADSCs. The stimulative effect of CNP on adipose differentiation depends on the cGMP/PKG/ p38 MAPK signal pathway. Our study will be helpful to understand the regulation mechanism of goat adipose differentiation, especially brown adipose differentiation.
Identification of Chicken Populations by Machine Learning Models Using the Minimum Number of SNPs
Authors: Seo Dongwon , Cho Sunghyun , Manjula Prabuddha , Choi Nuri , Kim Young Kuk , Koh Yeong Jun , Lee Seung Hwan , Kim Hyungyong , Lee Jun Heon 
Published: October 2020

Abstract
BackgroundA marker combination capable of classifying a specific chicken population could improve commercial value by increasing consumer confidence with respect to the origin of the population. This would also facilitate the protection of genetic resources, especially in developing countries. MethodsIn this study, a total of 20 lines 283 samples which were consist of Korean native chicken, commercial native chicken, and commercial broilers with layer population were used for finding the minimum number of marker combinations through the 600k high-density single nucleotide polymorphism (SNP) array. Application of the machine learning algorithms, a genome-wide association study (GWAS), linkage disequilibrium (LD) analysis, and principal component analysis (PCA) were used to distinguish a target (case) group from control chicken groups. In the verification of the selected markers, a total of 12 lines 182 samples were used to confirm the change in the accuracy of the target chicken breed identification.ResultsA total of 47,303 SNPs was used for classifying chicken populations; 96 LD-pruned SNPs (50 SNPs per LD block) served as the best marker combination for target chicken classification. Moreover, 36, 44, and 8 SNPs were selected as the minimum numbers of markers by Adaboost (AB), Random Forest (RF), and Decision Tree (DT) machine learning classification models, which had accuracy rates of 99.6%, 98.0% and 97.9%, respectively. The selected marker combinations increased the genetic distance between the case and control groups, and reduced the number of genetic components, confirming that an efficient classification of the groups was possible using small number of marker sets. In a verification study including additional chicken breeds and samples, the accuracy did not significantly change, and the target chicken group could be clearly distinguished from the other populations.ConclusionsThe GWAS and PCA analysis, machine learning algorithm used in this study is able to be applied efficiently to explore the minimum combination of markers that can distinguish varieties among a large number of SNP markers.
Differential Protein Expression of Osteoclastogenic Factors in Odontogenic Cysts and Tumors
Authors: Junior Vildeman Almeida , Leite Éder Gerardo Santos , Almeida Marcus , Castro Jurema Freire Lisboa de , Freitas Roseana Almeida , Xavier Flávia Caló Aquino , Figueiredo Andreia Leal , Santos Jean Nunes , Henriques Águida Cristina Gomes 
Published: October 2020

Abstract
Background: The osteolytic activity of odontogenic cysts and tumors is directly associated with their growth and aggressiveness. Proteins expressed by epithelial and mesenchymal cells can influence this biological event differently in indolent cystic lesions, aggressive cystic lesions, and odontogenic tumors.Methods: The objective of this study was to compare the immunohistochemical expression of factors that stimulate RANKL (Receptor activator of nuclear factor kappa-Β ligand), CatK (cathepsin K) and MMP8 (Matrix Metallopeptidase 8) and inhibit OPG (osteoprotegerin) osteoclastogenesis between dentigerous cyst (DC), glandular odontogenic cyst (GOC), odontogenic keratocyst (OKC), and ameloblastoma (AB). Paraffin-embedded sections of 9 DCs, 9 GOCs, 20 OKCs, 21 ABs, and 4 dental follicles (DFs) were submitted to immunohistochemistry. The immunoreactivity in epithelium and connective tissue was analyzed semi-quantitatively and quantitatively, respectively. Immunoexpression of the proteins was observed in epithelial and mesenchymal cells of all lesions studied.Results: The expression of RANKL and CatK was higher in OKC, AB, and GOC (p<0.005). Higher expression of OPG was found in DF and DC compared to the other markers (p<0.005). MMP8 expression was high in GOC e OKC.Conclusions: This study demonstrated the differential expression of factors that inhibit and stimulate bone resorption during the development of DC, GOC, OKC and AB. Higher expression of RANKL and CatK was observed in more aggressive lesions. OPG appears to be one of the molecules responsible for the slower growth of DC.
An Environmental GIS-based Variable Analysis on SARS-CoV-2 in the City of Recife, Brazil
Authors: Souza Arthur , Mota Caroline Maria de Miranda , Rosa Amanda , Figueiredo Ciro , Candeias Ana Lucia 
Published: October 2020

Abstract
Background: Given the increasing rates at which people have been infected by Covid-19 evolving to case-fatality rates on a global scale and the context of there being a world-wide socio-economic crisis, decision-making must be undertaken based on prioritizing effective measures to control and combat the disease since there is a lack of effective drugs. Method: This paper explores the determinant factors of the COVID-19 pandemic and its impacts on Recife, Pernambuco-Brazil by performing both local and global spatial regression analysis on two types of environmental data-sets. Data were obtained from ten specific days between late April and early July 2020, comprehending the ascending, peaking and descending behaviours of the curve of infections.Results: This study highlights clusters of the most affected neighbourhoods and their determinant effects. We have observed the increasing phase with hotspots of confirmed cases in a well-developed and heavily densely-populated neighbourhood of Recife city, then evolving for hotspots of case-fatality rates into areas characterised by having a precarious provision of public services and low-income population. The results also help to understand the influence of the age, income, level of education of the population and, additionally, the people’s access to public services, on the behaviour of the virus across neighbourhoods.Conclusion: This study supports government measures against the spread of Covid-19 in heterogeneous cities, evidencing social inequality as a driver for a high incidence of fatal cases of the disease. Understanding the variables which influence the local dynamics of the virus spread becomes vital for identifying the most vulnerable regions for which prevention actions need to be developed.
Risk Factors and Cost of Nosocomial Infections in Pediatric Patients With Traumatic Brain Injury
Authors: Girgin Feyza Incekoy , Ozturk Makbule Nilufer 
Published: October 2020

Abstract
Aim: This study aimed to determine the factors that increase and decrease the presence of the nosocomial infections in pediatric patients with traumatic brain injury, and the effects on both treatment cost and length of hospital stay.Methods: We performed a case-control study on patients admitted to the pediatric intensive care unit (PICU) with (n=66) or without (n=120) traumatic brain injury (TBI) between 2012 and 2014. The risk factors, length of stay, and costs of nosocomial infections, were determined. Results: Data for 186 patients were analyzed. Hundred and twenty patients were controls (54 males vs. 66 females), while 66 were cases (27 males vs. 39 females). Seventeen out of the 186 PICU patients had nosocomial infections. The most isolated microbial agent was Acinetobacter baumannii (four cases). Thirteen (76.5%) out of the 17 infections were catheter-related bloodstream infections. The mean expenses per PICU patient were $762, with an additional cost of $2081 for patients with nosocomial contamination. Conclusion: The use of catheters was the most critical risk factor for nosocomial infections in our study. The cost was probably underestimated for several reasons. Nevertheless, the findings supported our hypothesis about the additional burden of nosocomial spread on PICU patients. The results of this study should help to provide evidence on cost-effectiveness or calculating the cost-benefit ratio of reducing nosocomial infections in children.