bluuebunny/crossref_metadata_2025_split huggingface dataset:
MicroRNA-124-3p Functions as a Marker in Diagnosing Breast Cancer
Authors: Meng Yanchun , Xu Qunfang , Chen Lin , Wang Lingfei , Hu Xichun 
Published: September 2020

Abstract
BackgroundEarly diagnosis of breast cancer can reduce the high fatality rate. Thus novel diagnostic methods are urgently required for breast cancer patients. The research aimed at checking potential correlation for serum microRNA-124-3p (miR-124-3p) expression with breast cancer, and exploring its competence as a promising potential biomarkers for breast cancer.MethodsQuantitative real-time PCR (qRT-PCR) assay detected miR-124-3p levels. Possible relationship between miR-124-3p degree and clinical features of breast cancer patients was measured by Chi-square analysis. Sensitivity, specificity and area under the curve (AUC) for serum miR-124-3p degree were settled adopting receiver operating characteristics (ROC) analyses.ResultsRelative degree for serum miR-124-3p notably reduced among breast cancer sufferers in comparison with healthy persons (P=0.000). Moreover, miR-124-3p degree held tight connection to clinical stage (P=0.034), histological grade (P=0.002), and lymph node metastasis (P=0.001). ROC curve analyses unveiled at the optimal cut-off of 0.935, serum miR-124-3p expression reached a sensitivity of 78.4% and a specificity of 84.8% in discriminating between breast cancers sufferers and healthy persons, achieving an area under the curve (AUC) of 0.872 (95% CI: 0.752-0.871).ConclusionSerum miR-124-3p degree might represent one non-invasive indicator in diagnosing breast cancer.
MiR-5195-3p Functions as a Tumor Suppressor in Prostate Cancer via Targeting CCNL1
Authors: Zeng Xing , Hu Zhiquan , Shen Yuanqing , Wei Xian , Gan Jiahua , Liu Zheng 
Published: September 2020

Abstract
BackgroundAccumulating evidence indicates miR-5195-3p exerts tumor suppressive role in several tumors. However, there is limited research on the clinical significance and biological function of miR-5195-3p in prostate cancer (PCa).MethodsExpression levels of miR-5195-3p and Cyclin L1 (CCNL1) were determined using quantitative real-time PCR. The clinical significance of miR-5195-3p in PCa patients was evaluated using Kaplan-Meier survival analysis and Cox regression models. Cell proliferation and cell cycle distribution were measured by CCK-8 assay and flow cytometry, respectively. The association between miR-5195-3p and CCNL1 was analyzed by luciferase reporter assay.ResultsMiR-5195-3p expression levels were significantly downregulated in 69 paired PCa tissues compared with matched adjacent normal tissues. The decreased miR-5195-3p expression was associated with Gleason score and TNM stage, as well as worse survival prognosis. The in vitro experiments showed that miR-5195-3p overexpression suppressed the proliferation and cell cycle G1/S transition in PC-3 and DU145 cells. Elevated miR-5195-3p abundance was also demonstrated to impair tumor formation in vivo using PC-3 xenografts. Mechanistically, Cyclin L1 (CCNL1) was a direct target of miR-5195-3p in PCa cells, which was inversely correlated with miR-5195-3p in PCa tissues. Importantly, CCNL1 knockdown imitated, while overexpression reversed the effects of miR-5195-3p overexpression on PCa cell proliferation and cell cycle G1/S transition.ConclusionsOur data suggests that miR-5195-3p functions as a tumor suppressor via downregulating G1/S related CCNL1 expression in PCa.
ddRAD Sequencing: A Novel Arsenal Added to the Biosecurity Toolbox to Trace the Origin of Brown Marmorated Stink Bug, Halyomorpha Halys (Hemiptera: Pentatomidae)
Authors: Yan Juncong , Vétek Gábor , Pal Chandan , Zhang Jinping , Gmati Rania , Fan Qinghai , Gunawardana Disna , Burne Allan , Anderson Diane , Balan Rebijith Kayattukandy , George Sherly , Farkas Péter , Li Dongmei 
Published: September 2020

Abstract
BackgroundBrown marmorated stink bug (BMSB), Halyomorpha halys (Hemiptera: Pentatomidae) is native to East Asia but has invaded many countries in the world. It is a polyphagous insect pest and causing significant economic losses to agriculture worldwide. Knowledge on the genetic diversity among BMSB populations is scarce but is essential to understand the patterns of colonization and invasion history of local populations. Efforts have been made to assess the genetic diversity of BMSB using partial mitochondrial DNA sequences but genetic divergence on mitochondria is not high enough to precisely identify and distinguish various BMSB populations. Therefore, in this study, we applied a ddRAD (double digest restriction-site associated DNA) sequencing approach to ascertain the genetic diversity of BMSB populations collected from 12 countries (2 native and 10 invaded) across four continents with the ultimate aim to trace the origin of BMSBs intercepted during border inspections and post-border surveillance.ResultA total of 1775 high confidence single nucleotide polymorphisms (SNPs) were identified from ddRAD sequencing data collected from 389 BMSB individuals. Principal component analysis (PCA) of the identified SNPs indicated the existence of two main distinct genetic clusters representing individuals sampled from regions where BMSB is native to, China and Japan, respectively, and one broad cluster comprised individuals sampled from countries which have been invaded by BMSB. The population genetic structure analysis further discriminated the genetic diversity among the BMSB populations at a higher resolution and distinguished them into five potential genetic clusters. ConclusionThe study revealed hidden genetic diversity among the studied BMSB populations across the continents. The BMSB populations from Japan were genetically distant from the other studied populations. Similarly, the BMSB populations from China were also separated from the Japanese and other populations. Further genetic structure analysis revealed the presence of at least three genetic clusters of BMSB in the invaded countries, possibly originating from multiple invasions. Furthermore, this study has produced novel set of SNP markers to enhance knowledge of genetic diversity among BMSB populations and demonstrate a great potential to trace the origin of BMSB individuals for future invasion events.
A living biobank of matched pairs of patient-derived xenografts and organoids for cancer pharmacology
Authors: Xu Xiaoxi , Wang Shuzhong , zhou jun , Chen Jing , Huang yujun , kumari rajendra , Mao Binchen , zheng meiling , wang jingjing , tu xiaolong , An Xiaoyu , chen xiaobo , Zhang Likun , Tian Xiaoli , Wang haojie , Dong Xin , Bao Zhengzheng , Guo Sheng , Ouyang Xuesong , Shan Limei , Wang Fei , Yan Xuefei , li zhongliang , zhang rui , zhang hongjuan , meiler svenjer , Vries Robert , Clevers Hans , Li Qi-xiang 
Published: September 2020

Abstract
Patient-derived tumor xenograft (PDX)/organoid (PDO), driven by cancer stem cells (CSC), are considered the most predictive models for translational oncology. Large PDX collections reflective of patient populations have been created and used extensively to test various investigational therapies, including in population-trials as surrogate subjects in vivo. PDOs are recognized as in vitro surrogates for patients amenable for high-throughput screening (HTS). We have built a biobank of carcinoma PDX-derived organoids (PDXOs) by converting an existing PDX library and confirmed high degree of similarities between PDXOs and parental PDXs in genomics, histopathology and pharmacology, suggesting “biological equivalence or interchangeability” between the two. Here we demonstrate the applications of PDXO biobank for HTS “matrix” screening for both lead compounds and indications, immune cell co-cultures for immune-therapies and engineering enables in vitro/in vivo imaging. This large biobank of matched pairs of PDXs/PDXOs across different cancers could become powerful tools for the future cancer drug discovery.
The Impact of Big Data Adoption on SMEs Performance
Authors: Nasrollahi Mahdi , Ramezani Javaneh , Sadraei Mahmoud 
Published: September 2020

Abstract
The notion of Industry 4.0 encompasses the adoption of new information technologies that enable an enormous amount of information to be digitally collected, analysed, and exploited in organizations to make better decisions. Therefore, finding how organizations can adopt big data components to improve their performance became a relevant research area. This issue is becoming more pertinent for SMEs. This study investigates the impact of big data adoption on SMEs performance by obtaining the required data from experts. The quantitative investigation followed a mixed approach, including survey data from 224 managers from Iranian SMEs, and a SEM methodology for the data analysis. Results showed that 12 factors affected the BDA in SMEs. BDA can affect both operational performance and economic performance, there has been no support for the influence of BDA and economic performance on social performance. Finally, the study implications and findings are discussed alongside future research avenues and limitations.
The “zuòyuèzi” Practices During Puerperium and Its Association with Health Status Among Postpartum Women in Southern China: A Cross Sectional Study
Authors: Qin Yuting , Jiao Changya , Huang Shaoming , Zhang Zheqing , Li Yanhui , Bao Wei , Mao Limei 
Published: September 2020

Abstract
Background: Maternal health problems during postpartum period are highly prevalent worldwide, which may be related to unhealthy dietary and behavioral practices of postpartum women. Accordingly, this study aimed to explore postpartum dietary and behavioral practices, and their relationship with maternal health in Guangzhou, China.Methods: We conducted a cross-sectional study among postpartum women in urban and suburban area in Guangzhou China. Data about postpartum dietary and behavioral practices and health conditions were collected by a standardized questionnaire. Logistic regression analysis was used to identify the factors related to women’s health. Results: A total of 2040 women were recruited, 2013 of which complete the questionnaire, including 1007 from urban area and 1006 from suburban area. The consumption of animal food was triple the recommended intake, while the intakes of fruits, milk and seafood were deficient; and most women were lack of physical activities. 75.5% of women reported at least one postpartum disease, and the most common problems were prolonged uterine bleeding (70.0%) and backache (43.0%), followed by constipation (23.6%), insufficient milk secretion (19.2%), breast swelling (18.5%) and hemorrhoids (13.8%). Median of postpartum body weight retention was 3.5 kg. Logistic regression analysis revealed that 12-18 h/d of bed rest time, breastfeeding, doing postpartum exercise, basking, getting out of bed within 2 days after delivery, intake of animal food (250-350 g/d), vegetables (>500 g/d), grain and potato (250-450 g/d) were protective factors for at least one out of these health problems or weight retention (P<0.05). Bed rest time for more than 18 h/d or less than 12 h/d, ginger vinegar intake, doing housework, cesarean section, and excessive intake of grain and potato (>450 g/d) had adverse association (P<0.05). Conclusion: Postpartum low physical activity and adherence to the diet with high intake of animal food and inadequate intake of fruits, vegetables and milk were very common in Guangzhou. Further studies are needed to assess whether postpartum diet and behavioral intervention improve maternal health during postpartum period.
Effects and Retention of Self-Re-Learning Using Video Recording of Advanced Life Support (ALS) On Nursing Students’ Knowledge, Self-Efficacy, and Skills Performance
Authors: Jang Kyeongmin , Kim Sung Hwan , Oh Ja Young , Mun Ji Yeon 
Published: September 2020

Abstract
Background In-hospital cardiac arrests account for 80% of hospital deaths, and the survival rate is not significantly different from that of pre-hospitalized cardiac arrest patients. The nurses would presumably be the first to see an in-hospital cardiac arrest patient. This study proposed to measure nursing students’ knowledge, self-efficacy, and skills performance of advanced life support (ALS) 6 months after the training by sending their videos taken during the final skills test after the ALS training.Methods This is an experimental study with a randomized control group design. The participants’ knowledge, self-efficacy, and skill performance of ALS were evaluated immediately after the training and participants were videotaped during the final skills test. Thereafter, we sent the video to the experimental group through the mobile phone messenger application once a month from the third month after training. Approximately six months after the training day, we conducted a follow-up test of the measured variables using the blinded method.Results Six months after the ALS training, knowledge scores decreased significantly in both groups (p<0.001). Self-efficacy decreased by about 3 from 50.55 to 47.18 in the experimental group (p = 0.089), while it decreased by 10 in the control group from 50.67 to 39 (p<0.001). The skills performance decreased from 27.5 to 26.68 in the experimental group, while it decreased significantly from 27.95 to 16.9 in the control group (p< 0.001).Conclusion Self-study with videos taken during an ALS skills test helps enhance the sustainable effects of training, such as knowledge, self-efficacy, and skills performance.
The Expression and Biological Function of DKK1 in Oral Squamous Cell Carcinomas by Bioinformatics Analysis
Authors: Yu Huijie , Li Tianhua , Mao Xuemei 
Published: September 2020

Abstract
Background To investigate the expression of transcription factor Dickkopf-1 (DKK1) in oral squamous cell carcinomas (OSCC) by bioinformatics analysis and to clarify the connection between expression of DKK1 and clinicopathological features of OSCC, so as to elucidate the early diagnosis and prognostic significance of OSCC by DKK1. Methods This study used the GEPIA database in conjunction with the TCGA database to analyze the expression level of DKK1 in OSCC tissues and then verify it by QRTPCR and Western-blot analysis in vitro. The LinkedOmics database was used to describe the correlation between DKK1 expression and clinical pathological parameters of OSCC and its impact on prognosis. DKK1 was knocked down by RNA interference approach in SCC-4 and SCC-25 OSCC cell lines. In addition, the proliferation ability was assessed by MTT assay. Results DKK1 was highly expressed in OSCC and positively correlated with OSCC pathological grade and T stage. The results of TCGA showed that high DKK1 mRNA expression was associated with overall survival in OSCC. Besides, both DKK1 mRNA and protein expression was confirmed increased significantly in oral squamous cell carcinomas SCC-25 and SCC-4. Furthermore, MTT analysis investigated that knockdown of DKK1 caused reduced proliferation ability of OSCC cells. Conclusions The TCGA database analysis found that DKK1 is highly expressed in OSCC and is associated with multiple pathological indicators of OSCC, which will provide important theoretical guidance for subsequent oral squamous cell carcinoma research.
Subtypes of nurses' mental workload and interaction patterns with fatigue and work engagement during coronavirus disease 2019 (COVID-19) outbreak: A latent class analysis
Authors: WU JING , LI HUSHENG , GENG ZHAOHUI , WANG YANMEI , WANG XIAN , ZHANG JIE 
Published: September 2020

Abstract
Background
Nurses play critical roles when providing health care in high-risk situations, such as during the COVID-19 outbreak. However, no previous study had systematically assessed nurses’ mental workloads and its interaction patterns with fatigue, work engagement and COVID-19 exposure risk.
Methods
A cross-sectional study was conducted via online questionnaire. The NASA Task Load Index, Fatigue Scale-14, and Utrecht Work Engagement Scale were used to assess nurses’ mental workload, fatigue and work engagement, respectively. A total of 1337 valid questionnaires were received and analyzed. Nurses were categorized into different subgroups of mental workload via latent class analysis (LCA). Cross-sectional comparisons, analysis of covariance (ANCOVA), and multivariate (or logistic) regression were subsequently performed to examine how demographic variables, fatigue and work engagement differ among nurses belonging to different subgroups.
Results
Three latent classes were identified based on the responses to mental workload assessment: Class1 – low workload perception & high self-evaluation group (n = 41, 3.1%); Class 2 – medium workload perception & medium self-evaluation group (n = 455, 34.4%); and Class 3 – high workload perception & low self-evaluation group (n = 841, 62.5%). Nurses belonging into class 3 were most likely to be older and have longer professional years, and displayed higher scores of fatigue and work engagement compared with the other latent classes (p < 0.05). Multivariate analysis showed that high cognitive workload increased subjective fatigue, and mental workload may be positively associated with work engagement. Group comparison results indicated that COVID-19 exposure contributed to significantly higher mental workload levels.
Conclusions
The complex scenario for the care of patients with infectious diseases, especially during an epidemic, raises the need for improved consideration of nurses’ perceived workload, as well as their physical fatigue, work engagement and personal safety when working in public health emergencies.
Synergistic effect of genetic polymorphisms in TLR6 and TLR10 genes on the risk of pulmonary tuberculosis in Moldavian population
Authors: Varzari Alexander M. , Deyneko Igor V. , Tudor Elena , Grallert Harald , Illig Thomas 
Published: September 2020

Abstract
BACKGROUND
Host immunity is essential for efficient recognition and clearance of M. tuberculosis infection. Polymorphisms in genes that regulate immune response have been reported to influence the susceptibility/resistance to pulmonary tuberculosis (TB). Here we evaluated associations between 14 polymorphisms in 12 core genes involved in immune responses and pulmonary TB in Moldavian population, and investigated whether interactions between these and previously analyzed polymorphisms could exist and modulate the risk of pulmonary TB.
METHODS
Polymorphisms VDR rs7975232, VDR rs1544410, VDR rs2228570, MR1 rs1052632, TLR1 rs5743618, TLR2 rs111200466, TLR10 rs11096957, SLC11A1 rs2276631, IL1B rs1143643, IL10 rs1800896, IFNG rs2430561, TNF rs1800629, IRAK1 rs1059703, and FOXP3 rs2232365 were genotyped in 271 Moldavian pulmonary TB cases and 251 community-matched healthy controls. Associations were tested using Fisher test and logistic regression. Complemented with the data from our previous study (PMID: 30529560), investigation of gene-gene interactions was performed for a total of 43 loci. Significance level was adjusted by the Bonferroni correction.
RESULTS
Single polymorphism analysis revealed a nominal association between TNF rs1800629 and pulmonary TB (Fisher exact test p-value = 0.01843). Marginal differences between cases and controls were observed for haplotypes in the gene cluster TLR1-TLR6-TLR10 and gene TLR2. In the pairwise interaction analysis, the combination of genotypes TLR6 rs5743810 GA and TLR10 rs11096957 GT was significantly associated with an increased genetic risk of pulmonary TB (OR = 2.48, 95% CI = 1.62–3.85; Fisher exact test p-value = 1.5 × 10− 5, significant after Bonferroni correction).
CONCLUSION
The TLR6 rs5743810 and TLR10 rs11096957 two-locus interaction confers a significantly higher risk for pulmonary TB and has potential as a novel biomarker for predicting TB susceptibility.
A new likelihood model for analyses of pharmacoepidemiologic case-control studies which avoids decision rules for determining latent exposure status
Authors: Støvring Henrik , Pottegård Anton , Hallas Jesper 
Published: September 2020

Abstract
Background
Case-control studies based on pharmaco-epidemiological databases typically use decision rules to determine exposure status from information on dates of prescription redemptions, although this induces misclassification. The reverse Waiting Time Distribution has been suggested as a likelihood based model to estimate the latent exposure status, and we therefore suggest to extend this into a joint likelihood based model, which incorporates both the latent exposure status and the exposure-outcome association. This will achieve consistency and efficiency of the estimates, i.e. they are asymptotically unbiased and have optimal precision.
Methods
We established a joint likelihood for the observed case-control status and last prescription redemption before the index date. The likelihood combines the ordinary logistic regression likelihood and the reverse Waiting Time Distribution, and allows inclusion of covariates in both parts to adjust for observed confounders. We conducted a simulation study of the new model and standard models based on decision rules for exposure and the probability of being exposed, respectively, to assess the relative bias and variability of estimates. Lastly, we applied the models to a case-control study on use of nonsteroidal anti-inflammatory drugs and risk of upper-gastrointestinal bleeding.
Results
In simulation studies the new model had low relative bias (< 1.4%) and largely retained nominal coverage probabilities (90.2–95.1% of nominal 95% confidence intervals), also when moderate misspecification was introduced. All standard methods generally had substantial bias (-21.1–17.0%) and low coverage probabilities (0.0–68.9%). The new method estimated the effect of nonsteroidal anti-inflammatory drugs on risk of with upper-gastrointestinal bleeding hospitalization to 2.52 (1.59–3.45), whereas the other methods had estimates ranging from 3.52 (2.19–5.65) to 5.17 (2.40–11.11).
Conclusions
Unlike standard methods, the proposed model consistently gave unbiased estimates with adequate coverage probabilities. The model demonstrates the potential for the reverse Waiting Time Distribution to be integrated with existing likelihood based analyses in pharmacoepidemiological studies.