bluuebunny/crossref_metadata_2025_split huggingface dataset:
Association Between Maternal Blood Lipids Levels During Pregnancy and Risk of Small-For-Gestational-Age Infants
Authors: Chen Qinqing , Chen Huiqi , Xi Fangfang , Sagnelli Matthew , Zhao Baihui , Chen Yuan , Yang Mengmeng , Xu Dong , Jiang Ying , Chen Guangdi , Luo Qiong 
Published: May 2020

Abstract
Background: Dyslipidemia in pregnancy are associated with risk of adverse outcomes, such as gestational diabetes mellitus, preeclampsia, preterm birth, and small-for-gestational-age. As an adverse pregnancy outcome, small-for-gestational-age has been extensively studied in Western countries. However, similar studies have rarely been conducted in Asian countries.Methods: Data were derived from 5695 pairs of non-diabetic mothers and neonates between 1 Jan 2014 and 31 Dec 2014. Serum samples were collected during second and third trimesters for evaluation on fasting total cholesterol, triglycerides, high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol levels. The present study intended to explore the associations between maternal lipid profile and small-for-gestational-age neonates. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated and adjusted via logistic regression analysis.Results: After adjustments for confounders, third-trimester total cholesterol levels were associated with a decreased risk for small-for-gestational-age (aOR = 0.622, 95% CI: 0.458–0.848), and third-trimester high-density lipoprotein cholesterol and low-density lipoprotein cholesterol levels were associated with an increased risk for small-for-gestational-age (aOR = 1.955, 95% CI: 1.465–2.578; aOR = 1.403, 95% CI: 1.014–1.944). The effect of third-trimester high-density lipoprotein cholesterol levels on the risk for small-for-gestational-age rose across different gestational weight gain strata.Conclusions: High high-density lipoprotein cholesterol level during third trimester could be considered as indicators of a high-risk of small-for-gestational-age, regardless of gestational weight gain. Lowering high-density lipoprotein cholesterol levels may help to reduce the incidence of small-for-gestational-age.
Exploration on the regulatory mechanisms of MBD2/miR-301a-5p/CXCL12/CXCR4 on acute exacerbations of chronic obstructive pulmonary disease
Authors: Shen Wen , Weng Zhiyin , Fan Minjuan , Wang Shukun , Wang Ruili , Zhang Yang , Tian Hong , Wang Xi , Wu Xin , Yang Xiaolei , Wei Wei , Yuan Kaifen 
Published: May 2020

Abstract
Background Chronic obstructive pulmonary disease (COPD) is characterized by irreversible expiratory airflow obstruction and its chronic course is worsened by recurrent acute exacerbations. Our previous microarray identified miR-301a-5p was associated with the progression of AE-COPD, but its regulatory mechanism underlying COPD pathogenesis remains uncovered.Methods Serum and peripheral blood mononuclear cells (PBMCs) were isolated from healthy controls and patients with COPD in remission (R-COPD) and acute exacerbation (AE-COPD). Human HULEC-5a and HBE cells were transfected with MBD2, sh-MBD2, miR-301a-5p mimics or inhibitor, followed by stimulated with cigarette smoke extract (CSE). The co-culture assays were performed by the addition of the supernatant of medium derived from HULEC-5a cells transfected with miR-301a-5p mimics or inhibitor into si-CXCR4-transfected-lung fibroblast or THP-1 macrophages. Transwell assay was used to analyze cell migration.Results Clinical samples showed that decreased miR-301a-5p level in AE-COPD was significantly positively correlated with the expression level of MBD2, but negatively correlated with CXCL12 expression level. MBD2 overexpression significantly promoted miR-301a-5p, while suppressed CXCL12 in HULEC-5a and HBE cells. CXCL12 was confirmed as a direct target of miR-301a-5p. CXCR4 knockdown significantly the suppressive effect of miR-301a-5p mimics and attenuated the promotional effects of miR-301a-5p inhibitor on the migration of circulating fibroblasts and macrophages, as well as the expression levels of P-MEK and P-AKT.Conclusion In summary, MBD2/miR-301a-5p/CXCL12/CXCR4 appears to be involved in such recruitments of circulating fibroblasts and macrophages during COPD exacerbations.
The alteration of circulating exosomal mRNAs in acute myocardial infarction is associated with inflammation response mediated by neutrophils
Authors: HE Guo-dong , HUANG Yu-qing , LIU Lin , HUANG Jia-yi , Lo Kenneth , YU Yu-ling , CHEN Chao-lei , ZHANG Bin , Feng Yingqing 
Published: May 2020

Abstract
Background Although many cardiovascular disease studies have focused on the characteristics of microRNAs in circulating exosomes, the profile and the potential clinical diagnostic value of plasma exosomal long RNAs (exoLRs) in acute myocardial infarction (AMI) is still unknown.Methods In this study, exosomes isolation and RNA sequencing were applied to achieve the circulating exoLRs profile of 10 AMI patients, 8 stable coronary artery disease (CAD) patients, and 10 healthy individuals. Bioinformatics approaches were used to investigate the features and potential clinical value of exoLRs.Results Each sample from 2 mL of plasma could reliably achieve more than 8000 exosomal messenger RNAs (mRNAs) making up a majority of the total exoLRs. Immune cell types analyzed by CIBERSORT showed that neutrophils and monocytes were significantly enriched in the AMI group compared to healthy individuals and the CAD group which were consistent with the clinical baseline characteristics. Similarly, the biological processes enrichment analyses of different exosomal mRNAs and co-expression network analysis both indicated that neutrophils activation associated processes were also significantly enriched in the AMI group. We further identified two exosomal mRNA ALPL and CXCR2 which might be served as potential biomarkers with high diagnostic efficiency through co-expression network analysis and receiver operating characteristic curve (ROC).Conclusions In summary, our study explored the alteration of exoLRs in the AMI patients which might associate with the acute inflammatory response mediated by neutrophils. We found that exosomal mRNAs ALPL and CXCR2 might be potentially useful for AMI diagnosis.
Quality of process impacts fourth grade students’ participation in physically active academic lessons
Authors: Errisuriz Vanessa L. , Dooley Erin E. , Buford Katie G. , Johnson Ashleigh M. , Jowers Esbelle M. , Bartholomew John B. 
Published: May 2020

Abstract
Background It is important to assess implementation of active learning interventions to maximize their impact. Quality of process, or how well one engages program participants, has been less studied than other implementation components (e.g., dose, fidelity). This cross-sectional study examined associations between teacher engagement behaviors, teacher feedback, and student physical activity outcomes during active classroom lessons.Methods This study used data from the Texas Initiatives for Children’s Activity and Nutrition (I-CAN!) randomized controlled trial. Multivariate analysis of covariance was conducted to compare student physical activity outcomes by teachers’ engagement behaviors. Bivariate correlations were conducted to examine associations between teacher feedback and student physical activity outcomes. A latent profile analysis was used to examine whether there were subsets of teachers with similar feedback profiles.Results The final analytic sample included 82 teachers (N = 100 observations). Teacher-directed changes in physical activity and/or teacher participation in physical activity demonstrated significantly higher ratings for student physical activity intensity, class participation, and how often children were active (all p < .05). Physical Activity Reinforcement and Technical Instruction feedback were positively associated with activity intensity (r=-.20, p < .05 and r = .33, p < .01, respectively). Technical Instruction feedback was positively associated with how many (r = .31, p < .01) and how often (r = .44, p < .01) students were active during lessons. Negative feedback was negatively associated with how many (r=-.20, p < .05) and how often (r=-.28, p < .01) students were active, as well as activity intensity (r=-.27, p < .01). All teachers were represented by relatively high levels of Game Instruction and Classroom Management feedback, moderate levels of Content Reinforcement and Content Instruction feedback, and low levels of Negative, Technical Instruction, and Physical Activity Reinforcement feedback. These data did not indicate the existence of multiple feedback profiles.Conclusions These findings suggest that teacher engagement and feedback to students during physically active, academic lessons can help promote student engagement in physical activity. Teachers have primary responsibility for implementing school-based interventions, and it is critical to develop strategies that increase teachers’ ability to implement them successfully. Opportunities to maximize intervention delivery, such as co-designing with teachers, should be utilized in school-based, physical activity interventions.
Screening and identification of MSX1 for predicting progestin resistance in endometrial cancer
Authors: yang linlin , Cui Yunxia , Huang Ting , Sun Xiao , Wang Yudong 
Published: May 2020

Abstract
Background Progestin resistance is a critical obstacle for endometrial conservative therapy. Therefore, the studies to acquire a more comprehensive understanding of the mechanisms are very important. However, the pivotal roles of essential molecules are still unexplored.Methods We downloaded GSE121367 from the GEO database. The “limma” R language package was applied to identify differentially expressed genes (DEGs). We conducted Gene Set Enrichment Analysis (GSEA) and Gene Set Variation Analysis (GSVA) analysis. Protein–protein interaction was constructed by STRING and visualized in Cytoscape. The tumor immune microenvironment was explored by TISIDB database. Methylation validation and overall survival analysis was conducted by TCGA database. In addition, the upstream modulators of hub genes were predicted by miRTarBase and Network Analyst database.Results A total of 3282 DEGs were identified and they were mostly enriched in cell adhesion pathway. We screened out ten hub genes including CDH1, JAG1, PTGES, EPCAM, CNTNAP2, TBX1, MSX1, KRT19, OAS1 and DAB2 among different groups, whose genomic alteration rates were low based on the current endometrial carcinoma sample sets. Has-miR-335-5p, has-miR-124-3p, MAZ and TFDP1 were the most prominent upstream regulators. The methylation status of CDH1, JAG1, EPCAM and MSX1 were decreased, corresponding to their high protein expression, which also predicted better overall survival. The homeobox protein of MSX1 showed significantly tissue specificity and better prognostic value.Conclusions Our study identified the gene of MSX1 promised to be the specific indicator. This would shed new light on the underlying biological mechanism to overcome progestin resistance of endometrial cancer.
Identification of Prognosis-Related Genes and Construction of Multi-regulatory Networks in Pancreatic Cancer Microenvironment by Bioinformatics Analysis
Authors: Li Tong , Liu Qiaofei , Zhang Ronghua , Liao Quan , Zhao Yupei 
Published: May 2020

Abstract
Background
As one of the most lethal cancers, pancreatic cancer has been characterized by abundant supportive tumor-stromal cell microenvironment. Although the advent of tumor-targeted immune checkpoint blockers has brought light to patients with other cancers, its clinical efficacy in pancreatic cancer has been greatly limited due to the protective stroma. Thus, there is an urgent need to explore new targets and develop multi-regulatory networks to improve treatment and evaluate patient prognosis.
Methods
We followed a strategy based on mining the Cancer Genome Atlas (TCGA) database and ESTIMATE algorithm to obtain the immune scores and stromal scores. Differentially expressed genes (DEGs) associated with poor overall survival of pancreatic cancer were screened from a TCGA cohort. By comparing global gene expression with high vs. low immune scores and subsequent Kaplan-Meier analysis, DEGs that significantly correlate with poor overall survival of pancreatic cancer in TCGA cohort were extracted. After constructing the protein-protein interaction network using STRING and limiting the genes within the above DEGs, we utilized RAID 2.0, TRRUST v2 database and degree and betweenness analysis to obtain non-coding RNA (ncRNA)-pivotal nodes and TF-pivotal nodes. Finally, multi-regulatory networks have been constructed and pivotal drugs with potential benefit for pancreatic cancer patients were obtained by screening in the DrugBank.
Results
In this study, we obtained 246 DEGs that significantly correlate with poor overall survival of pancreatic cancer in the TCGA cohort. With the advent of 42 ncRNA-pivotal nodes and 7 TF-pivotal nodes, the multi-factor regulatory networks were constructed based on the above pivotal nodes. Prognosis-related genes and factors such as HCAR3, PPY, RFWD2, WSPAR and Amcinonide were screened and investigated.
Conclusion
The multi-regulatory networks constructed in this study are not only helpful to improve treatment and evaluate patient prognosis with pancreatic cancer, but also beneficial for implementing early diagnosis and personalized treatment. It is suggested that these factors may play an essential role in the progression of pancreatic cancer.
Dietary Habits and its Association with Metabolic Syndrome in a large sample of Iranian adults: a population-based study
Authors: Lorzadeh Elnaz , Sangsefidi Zohreh Sadat , Mirzaei Masoud , Hosseinzadeh Mahdieh 
Published: May 2020

Abstract
Background Central obesity, insulin resistance, dyslipidemia and hypertension are the core components of metabolic syndrome (MetS) which is coincident with unhealthy dietary habits in the Middle-Eastern countries. The aim of this study was to explore the association between dietary habits and MetS of adult population living in Yazd Greater Area, Iran.Methods This is a cross-sectional study which uses the data of a population-based cohort study on Iranian adults, known as Yazd Health Study (YaHS). The relationship between dietary habits and metabolic syndrome among adults (n = 2896) were analyzed using multiple logistic regression method.Results The prevalence of the MetS among the participants was 32.2%. Outcomes from logistic regression examining show that breakfast consumption has a significant inverse effect on the occurrence of MetS after adjustment for age, education level, physical activity statue, history of chronic diseases and smoking (odds ratio (OR) = 0.38, 95% confidence interval (CI) = 0.14, 0.97). This effect remains significant even after adjustment for body mass index (BMI) and reveals that odds of having MetS is 69% lower in breakfast consumers in contrast to non-consumers (OR = 0.31, 95% CI = 0.11, 0.87). However, no significant relationship was observed between other dietary habits including consumption of sweetened drinks, sugar cubes, and fast foods and MetS after adjustment for all potential confoundersConclusions This study revealed that eating breakfast has an inverse relationship with metabolic syndrome. Finding out stronger evidence in relation between dietary habits and MetS, more researches especially population-based cohort studies are needed to be conducted.
Analysis of Factors Affecting Alcohol and Tobacco Use by Bivariate Probit Model in Turkey
Authors: Alkan Ömer , Abar Hayri , Gençer Özge 
Published: May 2020

Abstract
Background

Alcohol and tobacco use are interrelated risk factors. Risky alcohol and tobacco use are important public health problems with social and economic costs and is one of the leading causes of preventable death and disease. The aim of this study is to determine the factors of sociodemographic and economic on alcohol and tobacco use.
Methods

In this paper, a bivariate probit model was employed to determine the factors affecting alcohol and tobacco use among individuals the age of 15 and above living in Turkey. The data used in this paper was obtained from the Turkey Health Survey conducted in 2010, 2012, 2014, and 2016 by the Turkish Statistical Institute. Data were gathered from a total of 77,327 individuals.
Results

Results revealed that several key variables were found to be a significant determinant of alcohol and tobacco use, such as age, gender, educational status, marital status, monthly income, psychosocial support, and survey year.
Conclusion

In the last decade, a number of restrictions on combating alcohol and tobacco have been associated with reducing the alcohol and tobacco use habits of individuals. This is the first attempt that simultaneously compares both alcohol use and tobacco use using a Turkish sample.
Occurrence and antibiotic susceptibility of Listeria monocytogenes along meat production chain in southwest Ethiopia﻿
Authors: Mereta Seid Tiku , Gume Beje , Getaneh Assegid , Deneke Yosef , Sena Lelisa , Tegene Dechassa , Kassa Tesfaye , Berhanu Leykun , Bediru Habib , Suleman Sultan 
Published: May 2020

Abstract
Background The widespread habit of consumption of raw meat along with poor hygiene during handling, transportation and processing are the major contributors to the high prevalence of food-borne diseases in Ethiopia. Listeriosis is one of the important food-borne diseases acquired through consumption of meat. The aim of this study was to assess the occurrence and antimicrobial susceptibility of Listeria species in meat collected from abattoir and butcher shops.Methods A cross-sectional study was conducted from January 2018 to February 2019 on isolation, phenotypic characterization, and determination of antibiotic susceptibility profiles of isolates of L. monocytogenes. A total of 100 meat samples were collected from abattoir and butcher shops in Jimma Town. Laboratory based isolation and characterization of the Listeria species was made using conventional culture and biolog. Antimicrobial susceptibility test was conducted using ten different selected antibiotics of current veterinary and human therapy. An observational check list was used to assess meat handling practices of butcher shops and abattoir workers.Results From the total of 100 samples collected from butcher shops and the abattoir, 29 (29%; 95% CI: 21.0-38.5%) were found positive for Listeria species. Out of this, 15 (30%, 95% CI: 34.4–68.6%) samples were from the butcher shops and 14 (28%, 95% CI: 31.4–65.6%) were from the abattoir. L. innocua (48.3%) was the dominant species followed by L. seeligeri (27.6%). L. monocytogenes accounts 7% of the isolates. Antibiotic susceptibility tests revealed that L. monocytogenes isolates were susceptible to gentamicin, vancomycin, Sulfamethoxazole-Sulfamethrimethoprim, chloramphenicol and cloxacillin. In contrary, L. monocytogenes isolates were resistant to cloxacillin, penicillin, nalidixic acid and tetracycline. On the other hand, low level of education, lack of training on meat handling and poor cleanliness of meat contact surfaces were significantly associated with the occurrence of Listeria spp. (P < 0.05).Conclusion The findings highlighted the need for regular training on hygienic meat handling practices for meat handlers in order to minimize the risk of food borne diseases. Furthermore, regulation of the optimal use of antimicrobials in food producing animals is highly recommended so as to reduce antimicrobial resistance.
A stemness-related seven-gene signature for predicting prognosis and treatment response in muscle invasive bladder cancer
Authors: Tian Maolang , He Jinlan , Han Jiaqi , Zhu Hong 
Published: May 2020

Abstract
Background: Muscle invasive bladder cancer (MIBC) is an aggressive cancer characterized by therapeutic resistance and poor prognosis, which are possibly due to the existence of cancer stem cells (CSCs). In this study, we aimed to characterize the expression of cancer stemness-related genes and develop a multi-gene risk signature to predict clinical outcome and treatment response in MIBC.Methods: The mRNA expression data and clinical data of MIBC patients were collected from The Cancer Genome Atlas (TCGA) database and Gene Expression Omnibus (GEO) database, which included the TCGA training cohort (n = 333) and three GEO validation cohorts, GSE13507 (n = 165), GSE32548 (n = 127), and GSE48075 (n = 72). A list of 166 stemness-related genes were obtained from the Cancer Single Cell State Atlas (CancerSEA) database and prognostic genes for overall survival (OS) were identified by univariate Cox analysis. Then, the least absolute shrinkage and selection operator (LASSO) regression and stepwise multivariate Cox regression were performed to generate a multi-gene risk signature. Kaplan-Meier curve, time-dependent receiver operating characteristic (ROC) curve, multivariate analysis, and stratification analysis were used to evaluate the performance of the gene signature. We also explored the relationship between risk score and response to chemotherapy and radiotherapy in MIBC patients. Moreover, independent prognostic factors for OS were combined together into a nomogram to improve predictive performance.Results: Firstly, a total of 25 prognostic genes were identified. Then, a seven-gene risk signature (EGFR, FOXA2, HES1, MME, RBM6, SMOC2, and TFRC) was constructed and it could robustly classify MIBC patients into high -risk and low-risk groups with different clinical outcomes. ROC curves showed that the seven-gene signature had a robust predictive accuracy in four cohorts. Besides, high risk score was significantly associated with advanced clinical stage and treatment failure. As an independent risk factor for OS, the stemness-related seven-gene signature could achieve better prognostic accuracy when integrated with clinical factors. Conclusions: We developed and validated a robust stemness-related gene signature which could robustly predicate clinical outcome and shed light on the cancer stemness in bladder cancer.