bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Neurotrophic and Anti-Inflammatory Effect of β-asarone on the DA-Induced the Pathology of Minimal Hepatic Encephalopathy
Authors: wang Jian , Wang Xuebao , You Ruimin , Liu Leping , Yu He , Lu Xiaoai , Ding Saidan 
Published: August 2020

Abstract
Background: The mechanism underlying the impaired cognitive function and memory loss in Minimal hepatic encephalopathy (MHE) remains unclear. Dopamine (DA) is reported to be associated with dementia. Methods: In this study, we investigated mechanism underlying DA-induced MHE pathology by immunoblotting, ELISA, FM4-64 and fluorescence staining. Results: We observed that MHE brains showed the increased content of DA, after administration of anti-DA antibody, and cognitive loss in MHE rats was recovered to the normal level, indicating the involvement of DA in the pathogenesis of MHE. Moreover, DA (10 μM) treatment obviously induced the decrease in the production of GDNF/NGF and the increase in TNFα levels in primary cultured neurons, which were blocked by addition of β-asarone (βASA). We also demonstrated that DA stimulated the activation of ASK1/JNK1 pathway. and the addition of anti-TNFα antibody reversed the inactivation of Notch signaling, the downregulation of neurotrophins and synaptic loss.Conclusions: Overall, we suggested that DA stimulated abundant production and secretion of neuronal TNFα, which elicited progressive loss of neurotrophic factors, leading to cognitive disorder of MHE.
SEAM: a Spatial single nuclEar metAboloMics method for dissecting tissue microenvironment
Authors: Zhang Michael , Yuan Zhiyuan , Zhou Qiming , Cai Lesi , Pan Lin , Sun Weiliang , Qumu Shiwei , Yu Si , Zheng Yongchang , Li Shao , Chen Yang , Zhang Xinrong 
Published: August 2020

Abstract
Spatial metabolomics can reveal intercellular heterogeneity and tissue organization. To achieve highest spatial resolution, we reported a novel Spatial single nuclEar metAboloMics (SEAM) method, a scalable platform combining high resolution imaging mass spectrometry (IMS) and a series of computational algorithms, that can display multiscale/multicolor tissue tomography together with identification and clustering of single nuclei by their in situ metabolic fingerprints. We firstly applied SEAM to a range of wild type mouse tissues, then delineate a consistent pattern of metabolic zonation in mouse liver. We further studied spatial metabolome in human fibrotic liver. Intriguingly, we discovered novel subpopulations of hepatocytes with special metabolic features associated with their proximity to fibrotic niche, which was further validated by spatial transcriptomics with Geo-seq. These demonstrations highlight how SEAM may be used to explore the spatial metabolome and tissue anatomy at single cell level, hence leading to a deeper understanding of the tissue metabolic organization.
Predicting Cell Line Invasion in Breast Tumor Microenvironment from Radiological Imaging Phenotypes
Authors: Arefan Dooman , Hausler Ryan M. , Sumkin Jules H. , Sun Min , Wu Shandong 
Published: August 2020

Abstract
Background:

The abundance of immune and stromal cells in the tumor microenvironment (TME) is informative of levels of inflammation, angiogenesis, and desmoplasia. Radiomics, an approach of extracting quantitative features from radiological imaging to characterize diseases, have been shown to predict molecular classification, cancer recurrence risk, and many other disease outcomes. However, the ability of radiomics methods to predict aspects related to tumor TME remains unclear. In this study, we employed a radio-genomics approach and machine learning models to predict the infiltration of 10 cell lines in breast cancer lesions utilizing radiomic features extracted from breast Dynamic Contrast Enhanced Magnetic Resonance Imaging.
Methods:

We performed a retrospective study utilizing 73 patients from two independent institutions with imaging and gene expression data provided by The Cancer Imaging Archive (TCIA) and The Cancer Genome Atlas (TCGA), respectively. A set of 199 radiomic features including shape-based, morphological, texture, and kinetic characteristics were extracted from the lesion volumes. To capture one-to-one relationships between radiomic features and cell line abundance, we performed linear regression on each radiomic feature/cell line abundance combination. Each regression model was tested for statistical significance. In addition, multivariate models were built for the cell line infiltration status (i.e. “high” vs “low”) prediction. A feature selection process via Recursive Feature Elimination was applied to the radiomic features on the training set. The classification models took the form of a binary logistic extreme gradient boosting framework. Two evaluation methods including leave-one-out cross validation and external independent test, were used for radiomic model learning and testing. The models’ performance was measured via area under the receiver operating characteristic curve (AUC).
Results:

Univariate relationships were identified between a set of radiomic features and the abundance of fibroblasts. Multivariate models yielded leave-one-out cross validation AUCs ranging from 0.5 to 0.83, and independent test AUCs ranging from 0.5 to 0.68 for the multiple cell line invasion predictions.
Conclusions:

Our study suggests a relationship between breast tumor’s microenvironment in terms of few cell lines and the breast MRI-derived radiological imaging phenotypes. Further evaluation with larger cohorts is needed.
Long-term outcomes of a program to upgrade the nursing faculty in Cambodia: a qualitative study
Authors: Koto-Shimada Kyoko , Fujita Noriko , Matsuoka Sadatoshi , Jimba Masamine , Touch Sokneang , Zwi Anthony B 
Published: August 2020

Abstract
Background Well trained nurses are expected to influence their workplaces after completing their training courses. In Cambodia, a high-skill training program has been given for nurses to make them more qualified since 2011. After completing the program, we conducted an immediate post-training study in 2014. In this long-term, post-training study, we evaluated the program’s effect on nursing faculty and clinical preceptors and identified factors influencing the long-term outcomes.Methods This long-term, post-training study took the form of embedded, single-case design. It incorporated focus group discussions (FGDs) for 26 trainees, key-informant interviews for 11 institutional managers, and teaching document reviews. Then, we conducted a thematic analysis using Kirkpatrick’s four levels of training evaluation. We evaluated the latter two elements as long-term outcomes, behavior (changes in trainees’ practice and applying learning to practice), and results (the trainees’ behavior effect on trainees’ organization or department). After that, we assessed factors influencing the long-term outcomes using Bronfenbrenner’s ecological systems theory.Results We identified five themes at the behavior level according to program type. They were 1) improved teaching and learning activities, 2) built capacity of nursing faculty and clinical nurses, 3) improved clinical practicum, 4) strengthened clinical nursing management, and 5) involved in professional development activities. At the results level, we identified three themes as long-term outcomes from an institutional development aspect. They were 1) enhanced institutional capacity, 2) improved students’ learning and behavior, and 3) strengthened clinical performance. The major influencing factors for the above eight themes were 1) institutional managers’ support, 2) continuous networking among trainees, and 3) national policy.Conclusions The upgrading program had a favorable effect on nursing faculty and clinical preceptors at the Kirkpatrick model’s behavior and results levels. Compared with the immediate post-training study findings, the perceived long-term outcomes became more strategically focused and demonstrated the training impact on a considerably broader scale within the workplace. These findings have implications for the monitoring and evaluation of nursing faculty development programs for its sustainable outcomes
Evaluation of a Standardized Instrument for Post Hoc Analysis of Trauma-Team-Activation-Criteria in 75,613 Injured Patients - An Analysis of the TraumaRegister DGU®
Authors: Bieler Dan , Trentzsch Heiko , Franke Axel , Baacke Markus , Lefering Rolf , Paffrath Thomas , Becker Lars , Düsing Helena , Heindl Björn , Jensen Kai Oliver , Özkurtul Orkun , Schweigkofler Uwe , Sprengel Kai , Wohlrath Bernd , Waydhas Christian 
Published: August 2020

Abstract
IntroductionIn order to improve the quality of criteria for trauma-team-activation it is necessary to identify patients who benefited from the treatment by a trauma team. Therefore, we evaluated a post hoc criteria catalogue for trauma-team-activation which was developed in a consensus process by an expert group and published recently. The objective was to examine whether the catalogue can identify patients that died after admission to hospital and therefore can benefit of a specialized trauma team mostly.Materials and MethodThe catalogue was applied to the data of 75,613 patients from the TraumaRegister DGU® between the 01/2007 and 12/2016 with a maximum Abbreviated Injury Score (AIS) severity ≥ 2. The endpoint was hospital mortality, which was defined as death before discharge from acute care.ResultsThe TraumaRegister DGU® dataset contains 18 of the 20 proposed criteria within the catalogue which identified 99.6% of the patients who were admitted to the trauma room following an accident and who died during their hospital stay. Moreover, our analysis showed that at least one criterion was fulfilled in 59,785 cases (79.1%). The average ISS in this group was 21.2 points (SD 9.9). None of the examined criteria applied to 15,828 cases (average ISS 8.6; SD 5). The number of consensus-based criteria correlated with the severity of injury and mortality. Of all deceased patients (8,451), only 31 (0.37%) could not be identified on the basis of the 18 examined criteria. Where only one criterion was fulfilled, mortality was 1.7%; with 2 or more criteria, mortality was at least 4.6%.DiscussionThe consensus-based criteria identified nearly all patients who died as a result of their injuries. If only one criterion was fulfilled, mortality was relatively low. However, it increased to almost 5% if two criteria were fulfilled. Further studies are necessary to analyse and examine the relative weighting of the various criteria. SummaryOur instrument is capable to identify severely injured patients with increased in-hospital mortality and injury severity. However, a minimum of two criteria needs to be fulfilled. Based on these findings, we conclude that the criteria list is useful for post hoc analysis of the quality of field triage in patients with severe injury.
Evaluation of diagnostic accuracy of 10 serological assays for detection of SARS-CoV-2 antibodies.
Authors: MD.  , Frutos Sara Gómez de , PharmD Diego Domingo García , Lara Eva Navarro , Carrión Ayla Yarci , García–Rodrigo Leticia Fontán , Torres Arturo Manuel Fraile , PharmD Laura Cardeñoso Domingo 
Published: August 2020

Abstract
BackgroundAntibody detection is essential to establish exposure, infection and immunity to SARS-CoV-2, as well as to perform epidemiological studies. The worlwide urge for new diagnostic tools to control the pandemic has led to a quick in- corporation in clinical practice of the recently developed serological assays.MethodsWe evaluated the diagnostic accuracy to detect Ig G, Ig M+A and/or IgA anti SARS-CoV-2 of 10 different assays: 3 Lateral Flow card inmunoassays, 4 en- zyme-linked inmunoabsorbent assay (ELISA) and 3 chemiluminescent particle immunoassays (CMIA). Using PCR for COVID-19 as gold standard, sensitivity, specificity, PPV, and NPV were determined. Each assay was tested in 2 groups: Positive Controls, formed by 50 sera from 50 patients with SARS-CoV-2 pneu- monia with positive PCR; Negative Controls, formed by 50 sera from 50 pa- tients with respiratory infection non-COVID-19.ResultsSensitivity range of the 10 assays evaluated for patients with positive COVID-19 PCR was 40-77% (65-81% considering IgG plus IgM). Specificity ranged 83-100%. VPP and VPN were respectively 81-100% and 61.6-81%.ConclusionsResults obtained varied widely among the assays evaluated.Highest diagnostic accuracy was obtained with ELISA and CMIAs, but they last much longer.
The mediation role of religiosity and hope for the effect of self-stigma on psychological well-being among Virus Corona (COVID-19) patients
Authors: AlEid Nawal , Arnout Boshra A. , Alqahtani Mohammed M. J. , Fadhel Fahmi H. 
Published: August 2020

Abstract
Background: Over the past few months, there is a significant increase in mortality and morbidity due to Coronavirus disease (Kar, Yasir Arafat, Kabir, Sharma, & Saxena, 2020). Less attention has been paid by researchers to the COVID-19 pandemic, stigmatism, psychological well-being, hope and religiosity and, and how these may impact on the patient's recovery.Method: A random sample consisted of 426 COVID-19 patients, who have resided in the Kingdom of Saudi Arabia, they answered an online questionnaire contains four scales (Religiosity, hope, stigma, and well-being). The data collected from the study participants were analyzed quantitatively by using One-way ANOVA, Exploratory Factor Analysis EFA, Confirmatory Factor Analysis CFA, and Structural Equation Model (IBM SPSS statistics 21 and Amos v.25). Results: The results showed that there are statistical significant differences due to age in hope and well-being, in favor of the sample members belonging to the age group from 30 years old and over old, while there are no differences in religiosity and stigma due to age. As well as, there are no differences due to the education level in religiosity, hope, stigma and well-being. About the differences due to social status, there are statistical significant differences in well-being in favor of married group, while there are no differences in religiosity, hope and stigma due to social status. About the effect of income level in the study variables, the results showed that there are no differences due to income level in religiosity, hope, stigma and well-being. Moreover, the findings found that both religiosity and hope play an mediating role in the relationship between the latent variables stigma and psychological well-being.Conclusions: Religiosity and hope play a mediating role in the relationship between stigma associated with COVID-19 and psychological well-being. These results indicate a number of potential strategies to reduce the negative effects of the stigma associated with COVID-19 and to increase the level of psychological well-being among COVID-19 patients.
Genetic Background of Micellar and Soluble Calcium and Phosphorus Predicted From Bovine Milk Mid-infrared Spectra&nbsp;
Authors: Franzoi Marco , Costa Angela , Penasa Mauro , Marchi Massimo De 
Published: August 2020

Abstract
BackgroundMid-infrared spectroscopy (MIRS) is a valuable tool to determine milk composition and quality, and to collect data at population level. In milk, Ca and P are partitioned between micellar (MP) and soluble phase (SP), both with important effects on milk coagulation properties; in particular, greater mineral content in MP translates into better milk coagulation ability. Nevertheless, the high analytic costs of gold standard quantification methods hamper the possibility to deepen partition of minerals in MP and SP on a large scale. In this study, MP and SP of Ca and P were predicted from mid-infrared spectra of 111,653 individual milk samples from 9,519 Italian Holstein cows. Sources of non-genetic variation for MP and SP of Ca and P were investigated, and their genetic associations with milk yield, quality and coagulation properties were estimated.ResultsThe MP of Ca and P decreased with parity but increased along the lactation, resembling the trend of protein content. Both MP and SP of Ca and P showed exploitable genetic variation and were heritable, and they were associated with traits of interest for the dairy industry, in particular milk yield and protein content. Furthermore, negative correlations between the two phases of the same mineral were estimated. The MP was negatively related to milk yield.ConclusionsThe MP and SP of the same mineral are negatively correlated, meaning that it is possible to improve mineral partition toward MP, in order to get milk with better technological properties. The current selection index of Italian Holstein breed gives positive emphasis on milk protein (content and yield) and thus it is indirectly improving the MP of Ca and P while reducing their SP content. Future research will focus on the genomic architecture of such traits to evaluate the role of potential specific genes in the determination of these mineral fractions in cow milk.
Donor Heart Preservation with Hypoxic Conditioned Medium Derived from Bone Marrow Mesenchymal Stem cell improves Cardiac Function in a Heart Transplantation Model
Authors: Zhou Pengyu , Liu Hao , Liu Ximao , Ling Xiao , Xiao Zezhou , Zhu Peng , Zhu Yufeng , Lu Jun , Zheng Shaoyi 
Published: August 2020

Abstract
Background: In heart transplantation, donor hearts inevitably suffer from ischemia/reperfusion (I/R) injury, which leads to primary graft dysfunction and affects patients’ survival rate. Bone marrow mesenchymal stem cells (BMSCs) have been reported to attenuate myocardial I/R injury via their paracrine effects, which can be enhanced by hypoxic preconditioning. We hypothesized that the donor heart preservation with hypoxic conditioned medium derived from BMSCs (CM-BMSCs) would improve post-transplant graft function. Methods: Normoxic CM and hypoxic CM were isolated from rat BMSCs cultured under normoxic (20% O2) or hypoxic (1% O2) condition. Donor hearts were explanted, stored in cardioplegic solution supplemented with either a medium (Vehicle), normoxic CM (N-CM), or hypoxic CM (H-CM), and then heterotopically transplanted. Antibody arrays were performed to compare the differences between hypoxic CM and normoxic CM.Results: After heart transplantation, the donor heart preservation with normoxic CM was associated with shorter re-beating time, histopathological scores, and left ventricular systolic diameter, higher ejection fraction, and fractional shortening of transplanted hearts. These protective effects may be associated with the inhibition of apoptosis and inflammation, as reflected by less TUNEL-positive cells and lower levels of serum proinflammatory cytokines (Interleukin-1β, Interleukin-6, tumor necrosis factor-α) and cardiac troponin I in the N-CM group compared with the vehicle group. These therapeutic effects can be further enhanced by hypoxic preconditioning. Antibody arrays revealed that nine proteins were significantly increased in hypoxic CM compared with normoxic CM. Furthermore, compared with vehicle and N-CM groups, the protein levels of PI3K and p‐Akt/Akt ratio in the transplanted hearts significantly increased in the H-CM group. Conclusions: Our results indicate that cardioplegic solution-enriched with hypoxic CM-BMSCs can be a novel and promising preservation solution for donor hearts.
Genomic Investigation of the Coronavirus Disease-2019 Outbreak in the Republic of Korea
Authors: Kim Jeong-Min , Park Sung Yong , Lee Daesang , Kim Jun-Sub , Park Youngjoon , Gwack Jin , Kim Mi Young , Song Dong Hyun , Jeong Seong Tae , Chung Yoon-Seok , Yoo Cheon Kwon , Lee Ha Youn , Han Myung-Guk 
Published: August 2020

Abstract
The South Korean government effectively contained the coronavirus disease-2019 (COVID-19) outbreak primarily associated with a religious group. We conducted SARS-CoV-2 whole genome sequencing of 66 cases to investigate connections among the initial South Korean cases and the religious group outbreak. We assessed the accuracy of genomic investigation by comparing the whole genome sequences with comprehensive contact tracing records. Five transmission clusters were estimated among the 15 initial cases. The six close-contact cases and two potential exposure pairs identified by contact tracing showed two or fewer nucleotide base differences. Additionally, we identified two transmission clusters from the religious group outbreak that were phylogenetically distinct from the initial clusters, sharing common G11083T, G26144T, and C14805T markers. The strain closest to the two religious group clusters was identified from a pair of identical sequences isolated from individuals who traveled from Wuhan to Italy. Our findings provide insights into the origins of community spread of COVID-19.
Telephone-Delivered Dietary Intervention in Patients with Age-Related Macular Degeneration: 3-Months Post-Intervention Findings of a Randomised Controlled Trial
Authors: Tang Diana , Mitchell Paul , Burlutsky George , Liew Gerald , Flood Victoria M. , Gopinath Bamini 
Published: August 2020

Abstract

Background: There is an evidence-practice gap between the dietary recommendations for age-related macular degeneration (AMD) presented in the literature and those practiced by patients. This study reports on the 3-months post-intervention results of a randomised controlled trial (RCT) evaluating telephone-delivered dietary counselling aiming to improve dietary behaviors among patients with AMD.Methods: 155 AMD patients (57% female, aged 78 ± 8 years; control: 78, intervention: 77), primarily residing in New South Wales, Australia were recruited into the RCT at baseline. Participants completed a baseline questionnaire and short dietary questionnaire for age-related macular degeneration (SDQ-AMD). The intervention included an evidence-based nutrition resource and four monthly calls with a dietitian in addition to usual care; the control arm only received usual care. Immediately post-intervention, participants in the intervention arm were invited to repeat the SDQ-AMD and complete a feedback form. At 3-months post-intervention, all participants were invited to repeat the SDQ-AMD. Statistical analyses included t-tests and McNemar’s test to determine change in dietary intakes and proportion of participants meeting the dietary recommendations, respectively; level of significance for all statistical analyses was p <0.05. Descriptive statistics were used to describe adherence to and acceptability of the intervention.Results: At 3-months post-intervention compared to baseline, there were significant improvements within the intervention arm including increased intakes (mean serves ± SE) of dark green leafy vegetables (0.99 ± 0.17 vs 1.71 ± 0.22; p = 0.003) and legumes (0.69 ± 0.10 vs 1.12 ± 0.16; p = 0.02), and reduced intakes of specified discretionary foods (8.31 ± 0.76 vs 6.54 ± 0.58, p = 0.01). Between study arms, intakes of nuts were significantly higher in the intervention arm (control: 2.71 ± 0.32 vs intervention: 3.96 ± 0.51; p = 0.04) at 3-months post-intervention. Overall feedback about the intervention was positive, with all completers (n = 74) finding the program worthwhile and 98.7% (n = 73) indicating they would recommend it to others. Conclusion: This novel intervention was well-received and significantly improved the dietary intakes of dark green leafy vegetables, legumes and discretionary foods within the intervention arm.Trial registration: Australian New Zealand Clinical Trials Registry; ACTRN12618000527268; registered 10 April 2018.