bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification of a Key Competing Endogenous RNA Axis, “COL5A1/miR-137-3p/FSTL1”, Associated With Gastric Cancer Progression by Integrated Bioinformatics Analyses and Experimental Verification
Authors: Yang Ming , Lu Zhixing , Li Liang , Ma Min , Long Fei , Wu Runliu , Zhang Yi , Huang Lihua , Chou Jing , Gong Ni , Yang Kaiyan , Li Xiaorong , Hu Gui , Lin Changwei 
Published: August 2021

Abstract
Background

MicroRNAs (miRNAs) and their target genes have been shown to play an important role in gastric cancer (GC), but this role has not been fully clarified. Therefore, our goal was to find the key miRNA-mRNA regulatory network in GC by combining a variety of bioinformatics and experimental analyses.
Methods

Differentially expressed miRNAs (DEMs) and genes (DEGs) were screened from TCGA and GEO, respectively. Survival-related differentially expressed miRNAs (SRDEMs) were determined by Cox proportional hazards regression and lasso regression analyses. Differentially expressed target genes (DETGs) of SRDEMs were predicted by TargetScan and miRDB and overlapped with DEGs. We constructed a protein–protein interaction (PPI) network of DETGs and conducted weighted gene coexpression network analysis (WGCNA) to screen the hub genes. Then, qRT–PCR and western blotting were performed to detect the expression level, and a dual-luciferase reporter assay was conducted to verify the binding of miRNA and mRNAs. CCK-8, EdU, wound healing and Transwell assays were conducted to compare the proliferation, migration and invasion abilities of GC cells in the different groups.
Results

We identified 11 SRDEMs and 233 DETGs, from which we selected miR-137-3p and its target gene COL5A1 for further research because of their key roles in the results of the bioinformatics analyses. Then, we showed that miR-137-3p was significantly downregulated in GC and that overexpression of miR-137-3p suppressed the proliferation, invasion and migration of GC cells by targeting COL5A1. Furthermore, we found that COL5A1 could regulate the expression of FSTL1 and GC progression by sponging miR-137-3p. Finally, bioinformatics analyses showed that FSTL1 might promote GC progression by regulating the immune infiltration of GC.
Conclusions

miR-137-3p played a tumor-suppressive role in GC, and its target gene COL5A1 could competitively bind miR-137-3p to upregulate the expression of FSTL1, which affects immune infiltration.
Validity And Reliability of The Chinese Version of The Partners At Care Transitions Measure Partners At Care Transitions Measure
Authors: Liu La-mei , Liu Ment-ting , Sun Meng-jie , Wang Jia-nan , Lin Bei-lei , Wang Peng , Oikonomou Eirini , Aggari Michael , Li Qiufang 
Published: August 2021

Abstract
Background: The Partners at Care Transitions Measure (PACT-M) is a reliable and valid instrument for assessing the quality and safety of care during the transition from hospital to home. The aim of this study was to examine the psychometric properties and test the reliability and validity of the Chinese version of the PACT-M.Methods: This was a cross-sectional study. A convenience sample of patients was recruited from three tertiary hospitals. A total of 402 participants were interviewed before discharge and 306 participants were interviewed one month after discharge from hospital to home using the Chinese version of the PACT-M. The critical ratio value and item total correlation were used to evaluate the item discriminatory power. A test-retest reliability approach and Cronbach’s alpha were used to evaluate reliability. Confirmatory factor analysis and exploratory factor analysis with varimax rotation were used to evaluate the validity of the Chinese version of the PACT-M.Results: The Chinese version of the PACT-M consists of two parts, the PACT-M1 and PACT-M2. Both have 2 dimensions, with the PACT-M1 having 9 items and the PACT-M2 having 8 items. The Cronbach’s alpha values of the PACT-M1 and PACT-M2 were 0.802 and 0.741, and the test-retest reliability values were 0.885 and 0.837. The item content validity index and scale content validity index values of the PACT-M1 and PACT-M2 were all 1.0.Conclusion: The Chinese version of the PACT-M shows acceptable validity and reliability and can be used to assess the quality and safety of care during the transition from hospital to home from the patient’s perspective in mainland China.
The Gut Microbiota Metabolite Urolithin B Improves Cognitive Deficits by Inhibiting Cyt C-mediated Apoptosis and Promoting the Survival of Neurons Through the PI3K Pathway in Aging Mice
Authors: peng chen , Chen Fuchao , Lei Jiexin , Wang Gaohua , Zhou Benhong 
Published: August 2021

Abstract
BackgroundDespite considerable advances in pharmacotherapy, more effective therapeutic interventions for aging-related neurodegenerative disorders (NDs), such as Alzheimer's disease (AD), remain limited. Urolithin B (UB), one of the major subcategories of urolithins (microbiota metabolites) found in various tissues after ellagitannin consumption, has been shown to possess antioxidant, anti-inflammatory, and antiapoptotic effects. However, the neuroprotective effect of UB on brain aging in mice and its potential mechanisms were still unknown. MethodsIn the current research, we first assessed the ameliorative effects of UB on oxidative injury and apoptosis induced by H2O2 in neuro-2a cells. Then a subcutaneous injection of D-galactose in mice for 8 weeks was used to establish the aging model to evaluate the protective effects of UB. The capacity of memory and learning, alterations of hippocampus histology and corresponding molecular mechanisms were all evaluated. ResultsThe D-gal-induced accelerated aging model in vivo demonstrated that UB could significantly ameliorate deficits in learning and memory by inhibiting the accumulation of advanced glycation end products (AGEs) and elevating the expression and activity of Cu, Zn-SOD and CAT. Furthermore, UB downregulated the c-Jun N-terminal kinase (JNK) signaling pathway and prevented cytochrome c release from isolated mitochondria, thereby inhibiting neuronal apoptosis during the aging process. More importantly, UB stimulation of aging mice activated ERK and phosphoinositide 3-kinase (PI3K), leading to neuronal survival along with Akt and p44/42 mitogen-activated protein kinase (MAPK) phosphorylation and activation. ConclusionIn summary, UB effectively alleviated cognitive deficits and ameliorated brain aging-related conditions and could be considered a healthcare product to prevent aging-associated NDs such as AD.
Histones of Neutrophil Extracellular Traps (NETs) Activate Brain Pericyte via Dectin-1 in Traumatic Brain Injury
Authors: Liu Yang-Wuyue , Zhang Jingyu , Bi Wanda , Zhou Mi , Li Jiabo , Xiong Tiantian , Yang Nan , Zhao Li , Tan Xu , Chen Xing , Zhou Yuanguo , He Wenhui , Yang Teng , Wang Hao , Xu Lunshan , Dai Shuang-Shuang 
Published: August 2021

Abstract
BackgroundBlood-brain barrier (BBB) disruption and leukocyte infiltration are two pathological features post traumatic brain injury (TBI). However, the role of circulating leukocytes in BBB disruption and the crosstalk between them are not fully elucidated. Neutrophil is the most abundant circulating cell type that migrates into brain tissue when TBI occurs instantly, while brain pericyte occupies a strategic position between circulating cell and interstitial space in BBB. Understanding their interactions is essential to provide insight into the intrinsic relationship and identify biological targets for TBI treatments. MethodsBy analyzing brain tissues from TBI patients and mouse TBI model through immunohistochemical method and flow cytometry, we build the relationship between neutrophils, neutrophil extracellular traps (NETs) and brain pericyte. The components of NETs-related medium were investigated by proteomics and metabolomics to decipher the factors directly regulating pericytes. The molecular mechanisms were deeply explored by WB/CHIP/RT-PCR in primary brain pericyte/pericyte cell line MBVP treated with NETs-formed medium or specific NETs components. In mice TBI model, we also explored the possible therapeutic approaches for TBI treatment that targeting at the axis of neutrophil-NETs-pericyte. ResultsNETs formation is highly enhanced post TBI, inducing the appearance of CD11b expressing brain pericyte simultaneously. This novel CD11b+ pericyte subset is characterized with increased permeability and pro-inflammatory profiles. Mechanistically, recognition of histones from NETs by Dectin-1 on pericyte contributes to CD11b induction in protein kinase C (PKC)-c-Jun-dependent manner. Transcription factor c-Jun directly binds to the promoter sequence of CD11b to enhance its expression in pericyte, conferring pericyte activation, BBB disruption and aggravated neutrophil infiltration post TBI. Either inhibiting NETs formation by Cl-Amidine or blocking Dectin-1 by Laminarin are both beneficial for decreasing neutrophil infiltration and brain pericyte activation post TBI. ConclusionsThese results unfold that “neutrophil-NETs-pericyte” and “histones-Dectin-1-CD11b” are possible cellular and molecular mechanisms for building connection between BBB damage and neutrophil infiltration. Targeting at NETs formation and Dectin-1 are promising treatments for improving neurological outcomes of TBI patients.
The Burden of Alcohol, Tobacco and Others Drugs Among Prisoners Diagnosed With Tuberculosis: Time Trends and Spatial Determinants in Southern Brazil
Authors: Scholze Alessandro Rolim , Alves Josilene Dália , Berra Thaís Zamboni , Santos Felipe Lima dos , Ramos Antônio Carlos Vieira , de Freitas Giselle Lima , Galdino Maria José Quina , Pieri Flávia Meneguetti , Arcoverde Marcos Augusto Moraes , Pillon Sandra Cristina , Monroe Aline Aparecida , Fronteira Inês , Gomes Dulce , Arcêncio Ricardo Alexandre 
Published: August 2021

Abstract
Background

Tuberculosis is an infectious disease caused by Mycobacterium tuberculosis and is a public health problem worldwide. It is estimated that 90% of the patients diagnosed with TB live in vulnerable environments with limited health resources, such as individuals living in correctional facilities. This study aimed to identify the consumption of alcohol, tobacco, and other drugs among prisoners diagnosed with tuberculosis and the spatial determinants and time trends of the phenomenon in southern Brazil.
Methods

An ecological study using data from the Brazilian Notifiable Diseases Information System. Tuberculosis cases confirmed from 2014 to 2018 in prisons located in Paraná, Brazil, were selected. The Prais-Winsten procedure was performed to identify time trends by calculating monthly rates and the percentage of monthly variation. The Seasonal-Trend by Loess decomposition method was used to verify the time series and trends. The spatial association was verified with the Getis-Ord Gi* technique, and risk areas were identified using spatial scan statistics.
Results

A total of 1,099 TB cases were found in the studied population. The consumption of tobacco (n = 460; 41.9%), illegal drugs (n = 451; 41.0%), and alcohol (n = 179; 16.3%) stand out. An ascending trend was found for the consumption of alcohol [+ 19.4%/mo. (95%CI: 12.20-23.03)], tobacco [+ 20.2% (95%CI: 12.20-28.82)], and illegal drugs [+ 62.2%/mo. (95%CI: 44.54–81.97)]. Spatial analysis revealed clusters for the use of alcohol, tobacco, and illegal drugs.
Conclusions

This study advances knowledge presenting the burden of drug use and its typology among individuals diagnosed with tuberculosis in the prison system. There is a growing trend among patients to use drugs, especially illegal drugs. The clusters show differences between the places where the prisons are located. Tuberculosis within the prison system is already a complex disease, and it is even more challenging when drugs are consumed. The consumption of drugs increased threefold when tobacco and alcohol were considered.
About the Law of Friction
Authors: Sosnovskiy Leonid , Sherbakov Sergei , Komissarov Viktor 
Published: August 2021

Abstract
The empirical law of dry friction, first formulated by Leonardo da Vinci 500 years ago, entered the history of technology as one of the most applicable laws in engineering calculations. Two hundred years later (after da Vinci) Amonton M., Coulomb C. A. and Euler L. made a decisive contribution to the substantiation and understanding of the law of dry friction, and it became classical: the friction force during sliding is proportional to the contact load. Studies have shown that the classical friction law for the tribo-fatigue system is inaccurate and, therefore, inapplicable. It was established experimentally that the error in estimating the coefficient of friction in a tribo-fatigue system (for example, a wheel / rail type, etc.) reaches 60...70 % or more, if we use the classical law of friction for its analysis. Therefore, the problem arises of adjusting the classical law of friction. A set of theoretical and experimental studies was carried out, the results of which allowed to formulate a generalized law of friction: the friction force is proportional to both contact and non-contact volume loads, if the latter excites a cyclic stress (strain) field in the friction zone. This law describes all the experimental results (more than 100 values ​​of the friction coefficient) with an error of no more than ± 6%. The widespread use of the generalized law of friction in the technique proposed by us is considered a very urgent task.
Tribological Performance of Textured 316L Stainless Steel Prepared By Selective Laser Melting*
Authors: Chen Ping , Liu Xiaojie , Jin Kangning , Qiao Xiaoxi , Yang Weixu 
Published: August 2021

Abstract
Selective laser melting (SLM) technology is a rapid prototyping additive manufacturing technology, which is widely used in the biomedical field. Surface texturing technology, as a surface treatment technology, has been used to improve the tribological performance. In the paper, both SLM and surface texturing technology are used to prepare textured samples with different parameters. Under the conditions of dry and phosphate buffer solution (PBS) lubricated conditions, the tribological performance and the mechanism of the textured 316L SS were investigated. The texture parameters studied are characteristic size, area ratio and shape including single triangular, circular and composite textures composed of two shapes. Results show that under dry friction condition, compared with the untextured surfaces, the friction coefficients and wear losses of the three textured samples almost increased, and only the wear loss of the circular textured sample decreases. Under the condition of PBS solution, compared with the untextured surface, most of the friction coefficients and wear loss of the textured samples decreased significantly, but the wear loss of textured surfaces in group B shows an obvious increase. And reducing the characteristic size of the texture significantly increases the wear loss of the 316L SS sample. At the same time, the triangular textured samples have better wear resistance than the circular textured samples. Therefore, the application of surface texturing technology to 316L SS samples prepared by SLM, especially in the simulated body fluid conditions, can achieve the purpose of stable friction and reduce wear loss. Meanwhile, reasonable texture parameters have a greater impact on improving the tribological performance of 316L SS.
A machine learning predictive model of in-hospital mortality in patients with sepsis complicated by anemia: a retrospective study based on the MIMIC-III database
Authors: Liu Xiaobin , Zhao Yu , Qin Yingyi , Wang Dan , Yin Xi , Yao Renqi , Ma Qimin , Wang Yusong , Zhu Shihui , Ma Shaolin , Weng Zuquan , Zhu Feng 
Published: August 2021

Abstract
BackgroudPatients with sepsis complicated by anemia have a higher risk of mortality. It is clinically important to study the risk factors associated with the prognosis of this disease. The aim of this study was to establish a predictive model of mortality during hospitalization by extracting clinical data from the Medical Information Mart for Intensive Care III (MIMIC-III) database. MethodsThe clinical data of patients with sepsis complicated by anemia in the MIMIC-III database were retrospectively analyzed. Indexes were screened by stepwise logistic regression (LR), and machine learning predictive models such as Decision Tree (DT), Random Forests (RF), and eXtreme Gradient Boosting (XGBoost) were developed and compared, identifying advantages and disadvantages of each model. ResultsA total of 13,547 patients with sepsis complicated by anemia were included in the study, among which 1,827 died during hospitalization and 11,720 were still alive at discharge. The preliminary stepwise regression model selected 20 clinical indexes, including Elixhauser comorbidity index, maximum blood urea nitrogen (BUN), and maximum hemoglobin reduction. The predictive models showed good discriminative ability (area under the receiver operating characteristic curve [AUROC]:LR, 0.777; DT, 0.726; RF, 0.788; XGBoost, 0.815) and goodness of fit (area under the precision-recall curve [AUPRC]: LR, 0.350; DT, 0.290; RF, 0.400; XGBoost, 0.428). The Shapley Additive exPlanation (SHAP) values in the XGBoost model showed that Elixhauser comorbidity index, maximum BUN, maximum hemoglobin reduction, ventilator use within 24 hours of admission, and age were significant features for predicting in-hospital mortality in patients with sepsis complicated by anemia. ConclusionsThe XGBoost model had better discrimination ability and goodness of fit when compared with other models. Machine learning algorithms have significant practical value in the development of an early warning system for patients with sepsis complicated by anemia.
Modeling and Optimization of Phosphate Solubilizing Bacteria Isolated from Rhizospheric Soils of the Coffee Plant using Artificial Neural Network (ANN) and Response Surface Methodology (RSM).
Authors: aklilu ermias girma , Ahmed Yasin , Seid Mohammed , Ramayya Venkata 
Published: August 2021

Abstract
Phosphorus is often found inaccessible to plants, as it forms precipitates with cations and can be converted to accessible forms by using Phosphate solubilizing bacteria (PSB). In the present study, isolation and characterization of phosphate solubilizing bacteria from rhizospheric soil of coffee plants were performed. The influence of four independent variables (incubation temperature, incubation time, pH, and inoculum size) was investigated and optimized using an artificial neural network and response surface methodology on the solubility of phosphate and indole acetic acid production. The bacterium that can dissolve phosphate were isolated in Pikovskaya’s agar containing insoluble tricalcium phosphate. Total, six Phosphate Solubilizing Bacteria were isolated and three of them (PSB1, PSB3, and PSB4) were found to be effectively solubilizing phosphate. Based on phosphate solubilizing index results Pseudomonas bacteria (PSB1) was selected for modeling. The results showed that both models performed reasonably well, but properly trained artificial neural networks have the more powerful modeling capability compared to the response surface method. The optimum conditions were found to be incubation temperature of 37.5 oC, incubation time of 9 days, pH of 7.2, and inoculum size of 1.89 OD. Under these conditions, the model predicted solubility of phosphate of 260.69 µg/ml and production of IAA of 80.00µg/ml with a desirability value of 0.947. Generally, the isolated Pseudomonas bacteria is a promising Phosphate solubilizing capability that enhances plant growth and this research is a base for recommending the use of this bacterial strain for biofertilizer, as an alternative to synthetic fertilizer.
The Independent Prognostic Effect of Marital Status On Non-Small Cell Lung Cancer Patients: A Population-Based Study
Authors: Zhao Dechang , Zhang Rusi , Yang Longjun , Lin Yongbin , Wen Yingsheng , Wang Gongming , Huang Zirui , Guo Guangran , Zhang Lanjun 
Published: August 2021

Abstract
Background

Previous studies had demonstrated that marital status was an independent prognostic factor in multiple cancers. However, the impact of marital status on non-small cell lung cancer (NSCLC) patients was still highly controversial. In our research, we aimed to clarify the exact prognostic effect of marital status on NSCLC patients with a population-based database.
Method

: All NSCLC patients diagnosed between 2010–2016 were selected from the surveillance, epidemiology and end results (SEER) database. To control the confounding effect of related clinicopathological characteristics, propensity score matching (PSM) was conducted between married and unmarried groups. In addition, independent prognostic clinicopathological factors were evaluated via Cox proportional hazard regression. The survival curves of overall survival (OS) and cancer specific survival (CSS) were plotted and compared with Kaplan-Meier method and log-rank test.
Results

In total, 58424 NSCLC patients were enrolled according to the selection criteria. After PSM, 20148 patients were selected into each group for further analysis. The married group consistently demonstrated significantly better OS and CSS compared to unmarried group (OS median survival (95% CI): 25 (24–26) vs. 22 (21–23) months, P < 0.001; CSS median survival (95% CI): 31(30–32) vs. 27(26–28) months, P < 0.001). Moreover, single patients were associated with the worst OS (median survival (95% CI): 20 (19–22) months) and CSS (median survival (95%CI): 24(23–25) months) among unmarried subgroups. Besides, unmarried patients had a significantly worse prognosis compared to married patients in both univariate and multivariate Cox proportional hazard regressions. Furthermore, married group was associated with better survival in most subgroups.
Conclusion

This study demonstrated that unmarried NSCLC patients were associated with significantly worse OS and CSS compared to married NSCLC patients. Therefore, unmarried patients need not only closer surveillance, but also more social and family support, which may improve patients’ adherence and compliance, and eventually improve the survival.