bluuebunny/crossref_metadata_2025_split huggingface dataset:
Associations of Quality, Quantity, and Structural Characteristics of Individual Social Network on Depressive Symptoms
Authors: Heo Ji Eun , Jung Sun Wook , Youm Yoosik , Kim Hyeon Chang , Jung Sun Jae 
Published: March 2020

Abstract
Background This study explores the association between the size and intimacy of an individual’s social network with depressive symptoms, considering age diversity and age difference in the general adult population in South Korea. Methods We utilized data from a population of 2,363 in the Cardiovascular and Metabolic Disease Etiology Research Center cohort. Each participant’s social network properties and social support status were measured using the egocentric social network analysis tool. Depressive symptoms were assessed using the Beck Depression Inventory-II. Multivariable logistic regression was used to compute odds ratios (ORs) for depression by different social network characteristics. Results Overall, network size and mean intimacy were both associated with depressive symptoms; however, the combination of the two showed different association patterns with depressive symptoms by gender. Compared to those with both a larger network size and higher average intimacy in the network, only women showed significantly increased ORs for depression with decreases in either the size or the intimacy of the network. This tendency was prominent in women whose social networks had high age diversity or members mainly older than themselves. Limitations Depressive symptoms were measured according to self-assessed levels of depressive symptoms during the previous two weeks, which do not necessarily indicate depressive disorder. Conclusion The social network characteristics of size and intimacy associated differently with depressive symptoms by gender. In women whose social networks had high age diversity, smaller-sized and less intimate networks increased the likelihood of depression.
Prognostic nomograms for predicting overall survival of Paget ’s disease
Authors: Li Wei , Fang Kun , Huang Guo , Wang You-quan , Cao Hong , Long Lin , Li Dan , Zhu Tian , Tang Kang-yun , Su Li-zhi 
Published: March 2020

Abstract
Background The death rate of metastatic breast cancer in patients with mammary Paget's disease and underlying cancer is 61.3%, with a 10-year cumulative survival rate of 33%. The aim of this investigation was to develop a reliable nomogram to predict Female Paget’s Disease patient, thus helping clinical diagnosis and treatment. Methods Date of patients diagnosed with Paget’s Disease between 2004 to 2014 were downloaded from the Surveillance, Epidemiology, and End Results (SEER)database. Univariate and multivariate cox analysis were used to identify independent prognostic factors, which were used to construct nomograms to predict the probabilities of OS. The performance of the nomogram was assessed by C-indexes, receiver operating characteristic (ROC) curves and calibration curve. Decision curve analysis (DCA) was used to compare clinical usage between the nomogram and Adjusted AJCC staging system.Results Based on the univariate and multivariate cox analysis, features that correlated with survival outcomes were used to establish nomograms for OS prediction. The nomograms showed favorable sensitivity at predicting 1-,3-, and 5-year OS, with a C-index of 0.795(95% confidence interval (CI) 0.773-0.818) for OS. Calibration curves and ROC curves revealed excellent predictive accuracy. Finally, the 3- and 5-year DCA curves yielded larger net benefits than the Adjusted AJCC stage. Conclusions In conclusion, we have successfully established an effective nomogram to predict OS in Paget’s Disease patient, which can help clinicians in determining the appropriate therapy strategies for individual PD patients.
miR-138-5p inhibits the metastasis of prostate cancer by targeting FOXC1
Authors: Zhang Dapeng , Liu Xiaodong , Zhang Qingwei , Chen Xin 
Published: March 2020

Abstract
Background: This study aimed to uncover the regulatory effect of miR-138-5p on the metastasis of PCa cells, and further explore the potential regulatory mechanisms via regulating FOXC1.
Methods: 60 pairs tumor specimens from PCa patients were collected to determine the expression level of miR-138-5p by qRT-PCR. Subsequently, over-expression of miR-138-5p were established to explore the proliferation and metastasis of miR-138-5p in PCa cell lines was analyzed by CCK-8, Tranwell assay and Wounding healing assay, respectively. Bioinformatics analysis and luciferase reporter gene assay were performed to search for the target genes of miR-138-5p, and FOXC1 was selected. Finally, the biological role of miR-138-5p and FOXC1 in the progression of PCa was clarified by a series of rescue experiments.
Results: The results of qRT-PCR revealed that miR-138-5p was lowly expressed in PCa tissues and cell lines. Besdies, these PCa patients with low-miR-138-5p had a higher Gleason score, lymph node metastasis, bone metastasis and poor prognosis of PCa, compared with the patients with high-miR-138-5p. Over-expression of miR-138-5p inhibited the viability, migratory and invasive capacities of PC-3 and DU-145 cells. Bioinformatics analysis and luciferase reporter gene assay suggested that FOXC1 was predicted to be the target of miR-138-5p. Moreover, FOXC1 level was negatively correlated to that of miR-138-5p in PCa tissues. Importantly, FOXC1 could reverse miR-138-5p mimic induced-inhibition of PCa malignant progression.
Conclusions: Downregulated miR-138-5p was closely associated with Gleason score, distant metastasis and poor prognosis of PCa patients. In addition, miR-138-5p alleviated the malignant progression of PCa by targeting and downregulating FOXC1.
Impact of Spinal Muscular Atrophy on Caregivers’ Daily Activities and Health-related Quality of Life
Authors: Chen Er , Bawa Komal , Noone Josh M. , Whitmire Sarah M. , Buchenberger J. Daniel , Arnold W. David , Mills Rosalina , Dixon Stacy 
Published: March 2020

Abstract
Background Spinal muscular atrophy (SMA) is a genetic debilitating disease affecting approximately 10,000 individuals in the United States. Individuals with SMA frequently require caregiver support and care. Through a partnership with a large patient organization, we surveyed caregivers of individuals with SMA below 18 years of age to understand the impact of SMA on caregivers with respect to their daily activities and health-related quality of life (HRQoL). In addition to structured questions, a standardized HRQoL instrument, the EQ-5D-5L and visual analogue scale, were administered. Results The caregiver sample consisted of 45 unpaid caregivers of individuals with SMA. Of them, 22% reported that they were sole caregivers that received no additional caregiving support and 98% were parents of an affected individual. The majority of caregivers cared for individuals with type 2 (58%), followed by type 1 (38%) and type 3 (4%) SMA. Sixty-four percent of the individuals with SMA were able to sit without support or better, while 31% had some motor function and 5% reported no motor function. On average, caregivers reported spending 136 hours/month managing the overall treatment, care, and support for the affected individual. Most of the individuals (91%) were reported to have received nusinersen; caregivers reported spending 29 hours managing treatment in a typical month. Caregiver time investment correlated directly with disease severity measured by both SMA type and patient motor function level. On average, caregivers rated their overall health as 76 on a scale of 0-100 using the EQ-5D-5L HRQoL visual analogue scale. Specifically, 42% of caregivers reported any inability to do their usual activities and 73% reported any anxiety or depression. Conclusions SMA negatively affects caregiver’s daily activities and HRQoL and represents a substantial burden. Disease severity is associated with an increasing amount of time required for care and support for patients with SMA and caregiver’s own HRQoL. As treatments become available, economic evaluation of these treatments should include effects on the family as well.
Overexpression of TGFβ1 in murine mesenchymal stem cells improve the lung inflammation via impacting Treg/Th17 balance in LPS-induced ARDS mice
Authors: Chen Jianxiao , Zhang Xiwen , Xie Jianfeng , Xue Ming , Liu Ling , Yang Yi , Qiu Haibo 
Published: March 2020

Abstract
Background: T helper 17 cells (Th17)/ regulatory T cells (Treg), as subtypes of CD4+T cells, played an important role in the inflammatory response of acute respiratory distress syndrome (ARDS). However, there is still a lack of effective methods to regulate the differentiation balance of Th17/Treg. It was proved that mesenchymal stem cells (MSCs) could regulate the differentiation of CD4+T cells, but the mechanism was still unclear. TGFβ1, as one of the paracrine cytokines of MSCs, could also regulate the differentiation of Th17/Treg but possess low expression in MSCs. Therefore, mouse MSCs (mMSCs)overexpressing TGFβ1 was constructed by lentivirus transfection and intratracheally transplanted into LPS-induced ARDS mice in our study. And the aim of which was to evaluate the therapeutic effects of mMSCs overexpressing TGFβ1 on inflammation and immunoregulationvia impacting Th17/Treg balance inLPS-induced ARDS mice. Methods: mMSCs with TGFβ1 overexpression were constructed using lentiviral vectors. Then mBM-MSCs and mBM-MSC-TGFβ1 (mMSCs overexpressing TGFβ1) were transplanted intratracheally into the ARDS mice induced by lipopolysaccharide. At 3d and 7d after transplantation, mice were sacrificed and the histopathology of lungs was assessed by hematoxylins and eosin staining and lung injury scoring. Homing of the mMSCs were assayed by ex vivooptical imaging. The relative number of Th17 and Treg in the lungs and spleens in mice were detected by FCM. IL-17A and IL-10 in the lungs of mice were analyzed by western blot. Permeability was evaluated by analysing the protein concentration of BALF using ELISA. Alveolar Lung fibrosis was assessed by Masson’s trichrome staining and Ashcroft scoring. The mortality of ARDS mice was followed until 7 days after transplantation. Results: The transduction efficiencies mediated by the lentiviral vectors were 82.3-88.6%. Overexpressing TGF-β1 inhibited the proliferation of mMSCs during day 5-7 (p<0.05), but made no effects on their differentiation or migration (p>0.05). Compared to the LPS+mBM-MSC-NC group, mMSCs overexpressing TGFβ1 engraftment led to improved histopathology of lung tissue in ARDS mice (p<0.05), much more differentiation of mMSCs into Th17 or Treg (p<0.05) and improved permeability of injured lungs (p<0.05). Moreover, IL-17A was also decreased while IL-10 increased in the LPS+mBM-MSC-TGFβ1 group than in the LPS+mBM-MSC-NC group respectively (p<0.05).Finally, mMSCs overexpressing TGFβ1 did not aggravate the fibrosis of lungs in ARDS mice (p>0.05). Conclusion: MSCs overexpressing TGFβ1 could regulate lung inflammation and attenuated lung injuries via modulating the imbalance of Th17/Treg in the lungs of ARDS mice.
Prevalence of human alveolar echinococcosis in China: a systematic review and meta-analysis
Authors: Wang Xuanzhuo , Dai Guodong , Li Min , Jia Wanzhong , Guo Zhongmin , Lu Jiahai 
Published: March 2020

Abstract
Background Human alveolar echinococcosis (HAE) is a severe parasitic disease that is a major public health concern. A review has indicated that new HAE cases in China account for 91% of the global HAE burden every year. Although there are a few studies and systematic reviews (SRs) on the prevalence of HAE in China, trends in the prevalence have not been estimated. Therefore, this study aims to describe the overall variation in the trend of HAE prevalence, and provide evidence for preventive measures in the future. Methods Thirty-five eligible studies were retrieved from PubMed, Web of Science, EMBASE, CNKI, Wanfang Data, and VIP, and included in the SR and meta-analysis. An adjusted Agency for Healthcare Research and Quality checklist was used to evaluate study quality. We used the arcsine transformation to adjust the individual reported prevalences and also calculated the pooled HAE prevalence. We evaluated heterogeneity using the chi-square test and I 2 statistic, as well as random-effects models and fixed-effects models. We generated forest plots for the meta-analysis results and assessed publication bias of the studies using the Egger’s test and funnel plots. We conducted subgroup analyses, sensitivity analyses, and meta-regression analyses to analyze the source of heterogeneity and factors potentially influencing the prevalence of HAE. Results The meta-analysis indicated that the pooled HAE prevalence in China was 0.96% (95% CI: 0.71 to 1.25%). Factors potentially influencing HAE prevalence are female sex (OR=1.60, 95% CI: 1.35 to 1.91), being ≥30 years of age (OR=4.72, 95% CI: 2.29 to 9.75), and being farmers and/or herdsmen (OR=2.54, 95% CI: 1.60 to 4.02). The results of the meta-regression analysis (R 2 =38.11%, P < 0.01) indicated that HAE prevalence is on a downward trend. Conclusions HAE prevalence has decreased over time and maintained low levels after 2005 in China. This decline was influenced by the utilization of One Health strategies as intervention measures. Therefore, these One Health strategies should be used as references to formulate future programs for HAE control. More high-quality epidemiological investigations and surveillance programs ought to be conducted in order to improve HAE control in the future.
Prediction and mechanistic analysis of Drug-Induced Liver Injury (DILI) based on chemical structure
Authors: Liu Anika , Walter Moritz , Wright Peter , Bartosik Aleksandra Maria , Dolciami Daniela , Elbasir Abdurrahman , Yang Hongbin , Bender Andreas 
Published: March 2020

Abstract
Background: Drug-induced liver injury (DILI) is a major safety concern characterized by a complex and diverse pathogenesis. In order to identify DILI early in drug development, a better understanding of the injury and models with better predictivity are urgently needed. One approach in this regard are in silico models which aim at predicting the risk of DILI based on the compound structure. However, these models do yet show sufficient predictive performance or interpretability to be useful for decision making by themselves, the former partially stemming from the underlying problem of labeling the in vivo DILI risk of compounds in a meaningful way for generating machine learning models.Results: As part of the Critical Assessment of Massive Data Analysis (CAMDA) “CMap Drug Safety Challenge” 2019 (http://papers.camda.info/), chemical structure-based models were generated using the binarized DILIrank annotations. Support Vector Machine (SVM) and Random Forest (RF) classifiers showed comparable performance to previously published models with a mean balanced accuracy over models generated using 5-fold cross-validation inside a 10-fold training scheme of 0.759±0.027 when predicting an external test set. In the models which used predicted protein targets as compound descriptors, we identified the most information-rich proteins which agreed with the mechanisms of action and toxicity of nonsteroidal anti-inflammatory drugs (NSAIDs), one of the most important drug classes causing DILI, and the previously established stress response pathways mediated by mitochondria, p38 MAPK and TP53. In addition, we identified multiple proteins involved in xenobiotic metabolism which could be novel DILI-related off-targets, such as CLK1 and DDR2. Moreover, we derived potential structural alerts for DILI with high precision, including furan and hydrazine derivatives; however, all derived alerts were present in approved drugs and were over specific indicating the need to consider quantitative variables such as dose.Conclusion: Using chemical structure-based descriptors such as structural fingerprints and predicted protein targets, DILI prediction models were built with a predictive performance comparable to previous literature. In addition, we derived insights on proteins and pathways statistically (and potentially causally) linked to DILI from these models and inferred new structural alerts related to this adverse endpoint.
Transdiagnostic Comparison of Visual Working Memory Capacity in Bipolar Disorder and Schizophrenia
Authors: Barnes-Scheufler Catherine , Mirkes Caroline , Rösler Lara , Mayer Jutta , Oertel Viola , Kittel-Schneider Sarah , Matura Silke , Reif Andreas , Bittner Robert A 
Published: March 2020

Abstract
Background Impaired working memory is a core cognitive deficit in both bipolar disorder and schizophrenia. Its study might yield crucial insights into the underpinnings of both disorders on the cognitive and neurophysiological level. Visual working memory capacity is a particularly promising construct for such translational studies. However, it has not yet been investigated across the full spectrum of both disorders. The aim of our study was to compare the degree of reductions of visual working memory capacity in patients with bipolar disorder (PBD) and patients with schizophrenia (PSZ) using a paradigm well established in cognitive neuroscience. Methods 62 PBD, 64 PSZ, and 70 healthy controls (HC) completed a canonical visual change detection task. Participants had to encode the color of four circles and indicate after a short delay whether the color of one of the circles had changed or not. We estimated working memory capacity using Pashler’s K. ResultsWorking memory capacity was significantly reduced in both PBD and PSZ compared to HC. Working memory capacity in PSZ was also significantly reduced compared to PBD. Thus, PBD showed an intermediate level of impairment. ConclusionsThese findings provide evidence for a gradient of reduced working memory capacity in bipolar disorder and schizophrenia, with PSZ showing the strongest degree of impairment. This underscores the relevance of disturbed information processing for both bipolar disorder and schizophrenia. Our results are also compatible with the cognitive manifestation of a neurodevelopmental gradient affecting bipolar disorder to a lesser degree than schizophrenia.
Fibroblast Growth Factor Receptor 4 as A Prognostic Indicator in Triple-Negative Breast Cancer
Authors: Wei Wei , Liang Xiaoshuan , Liu Jing , Wang Yuhang , Song Quanfu , A Leha , Sun Shanshan , Zhang Xianyu , Pang Da , Jiang Yongdong 
Published: March 2020

Abstract
Background: Triple-negative breast cancer (TNBC) is one of the most aggressive breast cancers, and patients with this subtype usually have a poor prognosis. Early analyses identified that fibroblast growth factor receptor 4 (FGFR4) was involved in breast cancer, but its prognostic effect on TNBC is unknown. In the present study, we investigated the association between FGFR4 and TNBC prognosis.Methods: FGFR4 protein expression was detected in 282 TNBC patients using immunohistochemistry.Results: FGFR4 was highly expressed in TNBC patients. Lymph node metastasis (LNM) (P=0.033) and p53 status (P=0.019) were associated with high FGFR4 expression. Univariate analysis identified high FGFR4 expression (P=0.016) as a prognostic predictor, and multivariate analysis found that high FGFR4 expression (P=0.016) was an independent prognostic factor. The Kaplan-Meier survival curve showed that high FGFR4 protein expression was correlated with poorer overall survival.Conclusions: The results of our present study show that FGFR4 protein expression is correlated with a worse prognosis in TNBC.
Circ_DLG1 facilitates esophageal squamous cell carcinoma progression by mediating miR-338-3p/MAP3K9 axis via activating MAPK/ERK pathway
Authors: Yang Yixuan , Zhu Bing , Ning Zhaofeng , Wang Xiaodong , Li Zhaoxia , Zhang Chunxia , Wen Linchun 
Published: March 2020

Abstract
Background: Esophageal squamous cell carcinoma (ESCC) is an aggressive malignancy with a high incidence and poor prognosis. The document of circular RNAs (circRNAs) is frequently associated with cancer development. This study intended to explore the functional mechanism of circ_DLG1 in ESCC.Methods: The expression of circ_DLG1, miR-338-3p and Mitogen-Activated Protein Kinase Kinase Kinase 9 (MAP3K9) was measured by quantitative real-time polymerase chain reaction (qRT-PCR). Cell cycle, proliferation, migration and invasion were performed for functional analysis using flow cytometry, 3-(4, 5-dimethylthiazol-2-yl)-2, 5-diphenyltetrazolium bromide (MTT) and transwell assay, respectively. The protein levels of MAP3K9, p38, phosphor p38 (p-p38), ERK1/2, phosphor ERK1/2 (p-ERK1/2) were detected by western blot. Bioinformatics tool for target prediction used the online tool starBase. Dual-luciferase reporter assay was performed to verify the target relationship. The animal experiments were performed to ascertain the role of circ_DLG1 in vivo.Results: The expression of circ_DLG1 was elevated in ESCC tissues, plasma and cells. Circ_DLG1 knockdown inhibited cell cycle, proliferation, migration and invasion. MAP3K9 was highly expressed in ESCC tissues and cells, and its overexpression rescued the effects of circ_DLG1 knockdown. MiR-338-3p was a link between circ_DLG1 and MAP3K9, and circ_DLG1 regulated the expression of MAP3K9 by targeting miR-338-3p. The MAPK/ERK pathway was involved in the circ_DLG1/miR-338-3p/MAP3K9 regulatory axis. Circ_DLG1 knockdown blocked the tumor growth in vivo by regulating miR-338-3p and MAP3K9.Conclusion: Circ_DLG1 contributed to the malignant progression of ESCC by mediating the miR-338-3p/MAP3K9 axis via activating the MAPK/ERK signaling pathway. This paper provided a novel action mode of circ_DLG1 in ESCC.
Increasing interprofessional socialization among psychology and nursing students by means of an educational intervention: A quasi-experimental study with a control group
Authors: González-Pascual Juan-Luis , Márquez Margarita G. , Rodríguez-Rey Rocío , Muñoz-Cobo Ana María , Pérez-Jiménez Juan Carlos 
Published: March 2020

Abstract
Background Interprofessional education helps health sciences students become better able to take part in future interprofessional collaborative practice. In general, interprofessional education activities seek to change knowledge levels, attitudes, and skills. However, a more ambitious objective would be to foster interprofessional socialization. Interprofessional socialization calls for the development of a dual identity: on the one hand, a professional identity, and on the other, an interprofessional identity as a member of a collaborative team. The objective of this research was to evaluate the effectiveness of an interprofessional activity in increasing self-assessment scores regarding interprofessional socialization. Methods This was a quasi-experimental study. Sixty psychology and nursing students at a university were divided into an experimental group and a control group. The experimental group participated in an activity designed in accordance with Khalili's interprofessional socialization framework. The control group performed their usual activities. Self-assessment of interprofessional socialization was measured in both groups using the Interprofessional Socialization and Values Scale (ISVS-21) before and after the activities. After the normality test, the inter-group difference (experimental vs. control groups) in the baseline ISVS score was analyzed using the Mann-Whitney U test. The intra-group variation (within each, the experimental group and control group) in the ISVS-21 score (pre-post change) was analyzed using the Wilcoxon test. Results The baseline ISVS-21 score was 93 for the experimental group and 98 for the control group, p=0.321. The experimental group’s ISVS-21 score increased from 93 to 104 after the educational intervention, p<0.01. There were no statistically significant changes in the control group (p=0.174). Conclusions The educational activity, designed in accordance with the Khalili model and carried out with the nursing and psychology students, favors interprofessional socialization in a statistically significant way, as do other activities described in the scientific literature. This matter should be researched in greater depth, using comparative studies to analyze which activities are more effective and efficient.