bluuebunny/crossref_metadata_2025_split huggingface dataset:
IL-1-conferred gene expression pattern in ERα+ BCa and AR+ PCa cells is intrinsic to ERα- BCa and AR- PCa cells and promotes cell survival
Authors: Nawas Afshan F. , Kanchwala Mohammed , Thomas-Jardin Shayna E. , Dahl Haley , Daescu Kelly , Bautista Monica , Anunobi Vanessa , Wong Ally , Meade Rachel Katherine , Mistry Ragini , Ghatwai Nisha , Bayerl Felix , Xing Chao , Delk Nikki 
Published: September 2019

Abstract
Background: Breast (BCa) and prostate (PCa) cancers are hormone receptor (HR)-driven cancers. Thus, BCa and PCa patients are given therapies that reduce hormone levels or directly blocks HR activity; but most patients eventually develop treatment resistance. We have previously reported that interleukin-1 (IL-1) inflammatory cytokine downregulates ER𝛼 and AR mRNA in HR-positive (HR+) BCa and PCa cell lines, yet the cells can remain viable. Additionally, we identified pro-survival proteins and processes upregulated by IL-1 in HR+ BCa and PCa cells, that are basally high in HR- BCa and PCa cells. Therefore, we hypothesize that IL-1 confers a conserved gene expression pattern in HR+ BCa and PCa cells that mimics conserved basal gene expression patterns in HR- BCa and PCa cells to promote HR-independent survival and tumorigenicity.Methods: We performed RNA sequencing (RNA-seq) for HR+ BCa and PCa cell lines exposed to IL-1 and for untreated HR- BCa and PCa cell lines. We confirmed expression patterns of select genes by RT-qPCR and used siRNA and/or drug inhibition to silence select genes in HR- BCa cell lines. Finally, we performed Ingenuity Pathway Analysis (IPA) to identify signaling pathways encoded by our RNA-seq data set.Results: We identified 350 genes in common between BCa and PCa cells that are induced or repressed by IL-1 in HR+ cells that are, respectively, basally high or low in HR- cells. Among these genes, we identified Sequestome-1 (SQSTM1/p62) and SRY (Sex-Determining Region Y)-Box 9 (SOX9) to be essential for survival of HR- BCa and PCa cell lines. Analysis of publicly available data indicates that p62 and SOX9 expression are elevated in HR-independent BCa and PCa sublines generated in vitro, suggesting that p62 and SOX9 have a role in acquired treatment resistance. We also assessed HR- cell line viability in response to the p62-targeting drug, verteporfin, and found that verteporfin is cytotoxic for HR- cell lines. Conclusions: Our 350 gene set can be used to identify novel therapeutic targets and/or biomarkers conserved among acquired (e.g. due to inflammation) or intrinsic HR-independent BCa and PCa.
Time to Change’s social marketing campaign for a new target population: results from 2017-2019.
Authors: González-Sanguino Clara , Potts Laura C , Milenova Maria , Henderson Claire 
Published: September 2019

Abstract
Background. Since 2009 Time to Change has included among its strategies a social marketing campaign to tackle the stigma surrounding mental health problems. At the start of its third phase (2016-2021) the target group of the campaign was kept as people aged between mid-twenties and mid-forties but changed to middle-low income groups and the content was focused on men. Methods. Participants (n = 3700) were recruited through an online market research panel, before and after each burst of the campaign. They completed an online questionnaire evaluating knowledge [Mental Health Knowledge Schedule (MAKS)]; attitudes [Community Attitudes toward Mental Illness (CAMI)]; and desire for social distance [Intended Behaviour subscale of the Reported and Intended Behaviour Scale (RIBS)]. Socio-demographic data and awareness of the campaign were also collected. Results. For each of the 3 bursts, significant pre-post awareness differences were found (OR=2.83, CI=1.90 to 4.20, p<0.001; OR=1.72, CI=1.22 to 2.42, p=0.002; OR=1.41, CI=1.01 to 1.97, p=0.043), and awareness at the end of the third burst was 33%. Demographic factors associated with awareness for one or more bursts included having children, familiarity with mental illness, male sex, being Black, Asian or other ethnic minorities and living in London or the East Midlands regions. An improvement across bursts in the “living with” subscale item of the RIBS, and in the “recover” and “advice to a friend” MAKS items were found. Familiarity with mental illness had the strongest association with all outcome measures, while the awareness of the campaign was also related with higher scores in MAKS and RIBS. Conclusions. These interim results suggest that the campaign is reaching and having an impact on its target audience. While over the course of Time to Change we have found no evidence that demographic differences in stigma have widened, and indeed those by age group and region of England have narrowed, those for socioeconomic status, ethnicity and sex have so far remained unchanged. By targeting a lower socioeconomic group and creating relatively greater awareness among men and in Black and ethnic minority groups, the campaign is showing the potential to address these persistent differences in stigma.
Fecal microbiota and metabolome characteristics in cirrhotic patients accompanied with hepatic encephalopathy
Authors: wei xiao , Yuan Jing 
Published: September 2019

Abstract
Background Gut microbiota is considered as an important endocrine organ and has remarkable influence on the metabolic phenotype of host, with extensive participation in the cometabolism with host. Significant changes occurred in intestinal microenvironment of cirrhotic patients under the influence of gut-liver axis. Hepatic encephalopathy is one of the common complications of cirrhosis. Methods In this study, four patients of cirrhosis accompanied with hepatic encephalopathy (CHE) were enrolled, with their healthy relatives as the controls, and paired comparison analysis was carried out. Fresh fecal samples were collected from participants, and subjected to Illumina MiSeq high throughput sequencing of 16S rRNA regions, and metabolome analysis was carried out using high-performance liquid phase chromatography and gas chromatography coupled with tandem mass spectrometry (HPLC-GC/MS-MS). Results Both the intestinal microbiota community and metabolome analysis showed distinct differences between CHE patients and the normal. CHE patients contained a remarkably decreased abundance of Bacteroidetes, whereas increased abundances of Firmicutes and Proteobacteria compared with the normal. Metabolome analysis revealed significant changes in metabolites constituents for CHE patients, showing distinct higher concentrations of amine, alanine, glutamic acid, ornithine, and tyrosine, with lower concentrations of cholesterol, myo-inositol, serine, suggesting the metabolic balance of intestinal microbiota was disrupted. The initial equilibrium state of gut microbiota community and metabolism was broken due to CHE. Conclusions Our study illustrated the intestinal microenvironment dysbiosis and dysfunction characteristics, which will be expected to provide guiding significance for intestinal microecological therapy and improvement of patients prognosis clinically.
Serum miR-101-3p combined with pepsinogen contribute to the early diagnosis of gastric cancer
Authors: Zeng Weiwei , Zhang Shuxiang , Yang Lei , Wei Wenchao , Gao Jie , Guo Ni , Wu Fengting 
Published: September 2019

Abstract
Background This study aimed to explore the effect of serum miR-101-3p combined with pepsinogen (PG) on early diagnosis of gastric cancer (GC).Methods The peripheral blood was isolated from patients with atrophic gastritis (AG), GC and healthy individuals respectively. RT-qPCR was used to detect the expression of miR-101-3p. Electrochemiluminescence (ECL) was used to reveal the carcinoembryonic antigen (CEA) expression level. Moreover, the expression of PGI and PGII was detected by ELISA. Furthermore, the area under the receiver operating characteristic (ROC) curve (AUC) was used to analyze the diagnostic efficacy of miR-101-3p and PG in early GC patients, AG patients and healthy individuals.Results There were significant differences in the expression levels of miR-101-3p, PGI and PGI/II ratio among groups (all P < 0.05). Serum miR-101-3p expression was correlated with process of invasion (P = 0.03). The miR-101-3p + PGI/II and miR-101-3p + PGI + PGI/PGII have higher diagnostic value (AUC) in AG (all P < 0.05). Meanwhile, miR-101-3p + PGI, miR-101-3p + PGI/II and miR-101-3p + PGI + PGI/II have higher AUC in GC (all P < 0.05). Moreover, miR-101-3p + PGI + PGI/II significantly (P < 0.05) improved the value of each indicator in individual diagnosis (sensitivity: 80.23, specificity: 77.05)Conclusions The miR-101-3p might take part in the progression of GC via influencing cell invasion. Furthermore, miR-101-3p + PG might be used as a novel marker for clinical diagnosis of GC.
NR2F2 Plays a Major Role in Insulin-induced Epithelial-Mesenchymal Transition in Breast Cancer Cells
Authors: xia Baili , Hou Lijun , Kang Huan , Chang Wenhui , Liu Yi , Zhang Yanli , Ding Yi 
Published: September 2019

Abstract
The failure of treatment for breast cancer usually results from distant metastasis in which the epithelial-mesenchymal transition (EMT) plays a critical role. Hyperinsulinemia, the hallmark of Type 2 diabetes mellitus (T2DM), has been regarded as a key risk factor for the progression of breast cancer. Nuclear receptor subfamily 2, group F member 2 (NR2F2) has been implicated in the development of breast cancer, however its contribution to insulin- induced EMT in breast cancer remains unclear. Overexpression and knockdown of NR2F2 was used in two breast cancer cell lines, MCF-7 and MDA-MB-231 to investigate potential mechanisms by which NR2F2 leads to insulin-mediated EMT. Insulin stimulation of these cells increased NR2F2 expression levels and promoted invasion and cell migration accompanied by alterations in EMT-related molecular markers. Overexpression of NR2F2 and NR2F2 knockdown demonstrated that NR2F2 expression was positively correlated with cell invasion, migration and the expression of N-cadherin and vimentin. In contrast,, NR2F2 had an inverse correlation with E-cadherin expression. In MDA-MB-231, both insulin-induced cell invasion and migration and EMT-related marker alteration were abolished by NR2F2 knockdown. These results suggest that NR2F2 plays a critical role in insulin-mediated breast cancer cell invasion, migration through its effect on EMT.
Tumour necrosis factor-α(-308) polymorphism and the risk of gastric cancer: A meta- analysis and trial sequential analysis
Authors: Naing Cho , Tung Wong Siew , Htet Norah Htet , Palayan Kandasami , Win Thin Thin , Mak Joon Wah 
Published: September 2019

Abstract
Background: Numerous studies have reported that polymorphisms in the tumour necrosis factor-alpha (TNF-a-308) gene are implicated in susceptibility to gastric cancer. However, individual genetic association studies that assessed the relationship between TNF-a- 308 and the risk of gastric cancer showed inconclusive results. The objective of this study was to synthesis evidence on the association between polymorphisms in the TNF-a-308 and gastric cancer risk.
Methods: This is a meta-analysis of genetic association studies. We searched relevant case-control studies, assessing TNF- 308 polymorphisms and gastric cancer in health-related electronic databases. The methodological quality of included studies was assessed by the Newcastle-Ottawa quality assessment scale. The strength of association was calculated as odds ratios (ORs) with its 95% confidence intervals (CIs). Pooled ORs and 95 % CIs were estimated using random-effect model or fixed effect model, based on between-study heterogeneity. We analysed the strength of association under dominant, recessive, additive and allele models. Multiple subgroup analyses including ethnic groups, HWE status, study quality were done for robustness of the estimates. Publication bias was detected by inspection of funnel plot asymmetry.
Results: A total of 33 studies, comprising 7695 patients and 12327 controls were identified. Based on the studies that met HWE, significant association was found between this polymorphisms and gastric cancer risk under dominant model (OR 1.2, 95%CI 1.1-1.3, I 2 :37%), recessive model OR 1.27, 95%CI 1.0-1.62, I 2 :0%) and additive model (OR 1.31, 95%CI 1.08-1.32, I 2 :0%). The TSA plot indicated the analyses was with the required information size. There was no publication bias. In the subgroup analysis by ethnicity, the ethnic groups and the quality of studies had impact on the estimates.
Conclusions: The findings suggest that TNF-α-308 gene polymorphism plays an important role as host genetic factor predisposing to gastric carcinogenesis, and it would be useful for a screening marker.
Ghd8 controls rice photoperiod sensitivity by forming a complex that interacts with Ghd7
Authors: Wang Peng , Gong Rong , Yang Ying , Yu Sibin 
Published: September 2019

Abstract
Background: Flowering time is one of the most important agronomic characteristics that ultimately determine yield potential and eco-geographical adaptation in crops. Ghd8 and Ghd7, two major flowering genes, have similar functions and large pleiotropic effects in controlling the heading date, plant height and grain yield of rice. However, these gene interactions at the genetic and molecular levels have not been determined to date. Results: In this study, we investigated the genetic interaction between Ghd8 and Ghd7 by using a set of near-isogenic lines and a panel of natural germplasm accessions in rice. We found that Ghd8 affected multiple agronomic traits in a functional Ghd7-dependent manner. Both functional Ghd8 and Ghd7 are pivotal for rice photoperiod sensitivity controlled by Hd1 and Hd3a. GHD8 could form a heterotrimeric complex with HD1 and OsHAP5b to activate the transcription of Ghd7 by binding directly to the promoter region of Ghd7, which contains the CCAAT-box motif. Conclusions: The results of this study help to elucidate the genetic and molecular bases of Ghd8 and Ghd7 interactions, indicating that Ghd8 acts upstream of Ghd7 to activate its transcription, which inhibits Hd3a expression and thus affects flowering time and rice adaptation.
Tracking and Predicting Depressive Symptoms of Adolescents Using Smartphone-Based Self-Reports, Parental Evaluations, and Passive Phone Sensor Data: Development and Usability Study
Authors: Cao Jian , Truong Anh Lan , Banu Sophia , Shah Asim A , Sabharwal Ashutosh , Moukaddam Nidal 
Published: September 2019

Background
Depression carries significant financial, medical, and emotional burden on modern society. Various proof-of-concept studies have highlighted how apps can link dynamic mental health status changes to fluctuations in smartphone usage in adult patients with major depressive disorder (MDD). However, the use of such apps to monitor adolescents remains a challenge.

Objective
This study aimed to investigate whether smartphone apps are useful in evaluating and monitoring depression symptoms in a clinically depressed adolescent population compared with the following gold-standard clinical psychometric instruments: Patient Health Questionnaire (PHQ-9), Hamilton Rating Scale for Depression (HAM-D), and Hamilton Anxiety Rating Scale (HAM-A).

Methods
We recruited 13 families with adolescent patients diagnosed with MDD with or without comorbid anxiety disorder. Over an 8-week period, daily self-reported moods and smartphone sensor data were collected by using the Smartphone- and OnLine usage–based eValuation for Depression (SOLVD) app. The evaluations from teens’ parents were also collected. Baseline depression and anxiety symptoms were measured biweekly using PHQ-9, HAM-D, and HAM-A.

Results
We observed a significant correlation between the self-evaluated mood averaged over a 2-week period and the biweekly psychometric scores from PHQ-9, HAM-D, and HAM-A (0.45≤|r|≤0.63; P=.009, P=.01, and P=.003, respectively). The daily steps taken, SMS frequency, and average call duration were also highly correlated with clinical scores (0.44≤|r|≤0.72; all P<.05). By combining self-evaluations and smartphone sensor data of the teens, we could predict the PHQ-9 score with an accuracy of 88% (23.77/27). When adding the evaluations from the teens’ parents, the prediction accuracy was further increased to 90% (24.35/27).

Conclusions
Smartphone apps such as SOLVD represent a useful way to monitor depressive symptoms in clinically depressed adolescents, and these apps correlate well with current gold-standard psychometric instruments. This is a first study of its kind that was conducted on the adolescent population, and it included inputs from both teens and their parents as observers. The results are preliminary because of the small sample size, and we plan to expand the study to a larger population.
Development of a Deep Learning Model for Dynamic Forecasting of Blood Glucose Level for Type 2 Diabetes Mellitus: Secondary Analysis of a Randomized Controlled Trial
Authors: Faruqui Syed Hasib Akhter , Du Yan , Meka Rajitha , Alaeddini Adel , Li Chengdong , Shirinkam Sara , Wang Jing 
Published: September 2019

Background
Type 2 diabetes mellitus (T2DM) is a major public health burden. Self-management of diabetes including maintaining a healthy lifestyle is essential for glycemic control and to prevent diabetes complications. Mobile-based health data can play an important role in the forecasting of blood glucose levels for lifestyle management and control of T2DM.

Objective
The objective of this work was to dynamically forecast daily glucose levels in patients with T2DM based on their daily mobile health lifestyle data including diet, physical activity, weight, and glucose level from the day before.

Methods
We used data from 10 T2DM patients who were overweight or obese in a behavioral lifestyle intervention using mobile tools for daily monitoring of diet, physical activity, weight, and blood glucose over 6 months. We developed a deep learning model based on long short-term memory–based recurrent neural networks to forecast the next-day glucose levels in individual patients. The neural network used several layers of computational nodes to model how mobile health data (food intake including consumed calories, fat, and carbohydrates; exercise; and weight) were progressing from one day to another from noisy data.

Results
The model was validated based on a data set of 10 patients who had been monitored daily for over 6 months. The proposed deep learning model demonstrated considerable accuracy in predicting the next day glucose level based on Clark Error Grid and ±10% range of the actual values.

Conclusions
Using machine learning methodologies may leverage mobile health lifestyle data to develop effective individualized prediction plans for T2DM management. However, predicting future glucose levels is challenging as glucose level is determined by multiple factors. Future study with more rigorous study design is warranted to better predict future glucose levels for T2DM management.
Is It a Home Run? Measuring Relative Citation Rates in Accounting Research
Authors: Dechow Patricia M. , Sloan Richard G. , Zeng Jean (Jieyin) 
Published: September 2019

SYNOPSIS
We propose a new set of citation metrics for evaluating the relative impact of scholarly research in accounting. Our metrics are based on current practices in bibliometrics and normalize citations by both field (accounting) and year of publication. We show that our normalized citation metrics dominate other commonly used metrics in accounting when predicting the long-term citation impact of recently published research. We conduct our analysis using citations from the Social Science Citation Index for the top six general interest accounting journals. More generally, our metrics can be readily constructed using any citation database and for any subfield of accounting. The metrics simply require the total citation counts for a benchmark set of papers published in the same calendar year. The use of these metrics should enable more informed performance evaluations of junior accounting researchers.
Consequences of Strategic Performance Measurement Systems: A Meta-Analytic Review
Authors: Endrikat Jan , Guenther Thomas W. , Titus Robert 
Published: September 2019

ABSTRACT
About 25 years ago, Kaplan and Norton (1992) introduced the balanced scorecard (BSC) with the aim of remedying the inadequacies of traditional performance measurement approaches. From then on, the adoption of strategic performance measurement systems (SPMS) has steadily increased. While scholars have proposed and empirically tested several beneficial consequences of SPMS, the empirical results are not unequivocally clear and there is still a lack of consensus. This study builds on, complements, and expands current reviews by meta-analytically examining the associations among SPMS and 13 consequences of 67 primary studies, classified into three categories (i.e., people's behavior, organizational capabilities, and performance consequences). Overall, we find positive and significant mean correlations for all examined consequences. However, even after correcting for statistical artifacts, substantial heterogeneity remains. Therefore, we explore the heterogeneity by examining various theoretical and methodological moderators. Subgroup analysis reveals significant influences of (1) national culture (in terms of individualism and power distance), (2) presence or absence of links to the reward system, and (3) industry differences.
Prevalence, Antimicrobial Resistance, and Molecular Typing of Thermophilic Campylobacter Spp. in a Greek Poultry Slaughterhouse
Authors: Sakaridis Ioannis , Papadopoulos Theofilos , Boukouvala Evridiki , Ekateriniadou Loukia , Samouris Georgios , Zdragas Antonios 
Published: September 2019

Abstract

Campylobacter species are one of the leading causes of foodborne disease. Poultry is a major reservoir and source of its transmission to humans. The aim of this study was to estimate the prevalence and antimicrobial resistance of Campylobacter spp. isolated from chicken carcasses, the environment, and processing equipment of a poultry slaughterhouse in Greece, to identify the dominant Campylobacter species and to determine if there are clonal relationships among the isolates. Fifty poultry samples and 25 environmental samples were examined using microbial cultures and PCR. Forty-nine of 50 poultry samples (98%) were found to be positive for Campylobacter spp. The environment of the slaughterhouse was also found to be significantly contaminated with Campylobacter spp. Thirty-seven isolates were found to be susceptible to all antimicrobials tested (56.1%) and 29 isolates showed resistance to at least two of the antimicrobials tested (43.9%). We observed 24 different PFGE-types among the 53 isolates with 14 of them isolated only once, while five PFGE-types were represented by two isolates. The remaining 29 isolates were represented by five PFGE-types each consisting of three to 12 isolates. Regarding the relationship of the PFGE types and corresponding resistance profiles, all strains of each PFGE-type shared the same antimicrobial resistance profile. This study reports evidence for Campylobacter spp. cross-contamination among broiler carcasses in a Greek slaughterhouse.