bluuebunny/crossref_metadata_2025_split huggingface dataset:
The association between serotonin-related gene polymorphisms and susceptibility and early sertraline response in patients with panic disorder
Authors: Zou Zhili , Huang Yulan , Wang Jinyu , Min Wenjiao , Zhou Bo 
Published: July 2020

Abstract
Background
A number of studies have shown that genetic factor plays an important role in etiology of panic disorder (PD). The aim of the present study was to examine the association of serotonin-related gene polymorphisms with PD risk. Then, we analyzed the correlation between these gene polymorphisms and response to sertraline drug.

Methods
Two hundred thirty-three patients with PD and 231 healthy controls were enrolled in the study. Panic Disorder Severity Scale (PDSS) were administered to all subjects, and all patients in the study were also assessed after 4 weeks of treatment. The SLC6A4(rs140701, rs3813034, 5-HTTLPR and STin2), 5-HTR1A rs6295, 5-HTR2A rs6313 and COMT rs4680 gene polymorphisms were genotyped and assessed for the potential association.

Results
The allelic model showed that the SLC6A4 rs140701 polymorphism variant was significantly associated with increased risk of PD (OR = 0.624, 95% CI 0.450–0.864, p < 0.05), and a significant result was found in the dominant model (OR = 0.546; 95% CI, 0.371–0.804, p < 0.05). There was a significant difference in allele and genotype frequency between responders and nonresponders in the 5-HTTLPR polymorphism (OR = 0.205, 95% CI 0.128–0.328; OR = 0.249, 95% CI 0.155–0.401, both p < 0.001), indicating the PD patients with S-allele had a poorer response to sertraline than L-allele carriers.

Conclusions
The present study suggests that the SLC6A4 rs140701 polymorphism variant may be associated with susceptibility to PD, and 5-HTTLPR polymorphism may be a predictor of response to sertraline in the treatment of PD.
Development and validation of the fracture risk scale home care (FRS-HC) that predicts one-year incident fracture: an electronic record-linked longitudinal cohort study
Authors: McArthur Caitlin , Ioannidis George , Jantzi Micaela , Adachi Jonathon D. , Giangregorio Lora , Hirdes John , Papaioannou Alexandra 
Published: July 2020

AbstractBackgroundFractures have dire consequences including pain, immobility, and death. People receiving home care are at higher risk for fractures than the general population. Yet, current fracture risk assessment tools require additional testing and assume a 10-year survival rate, when many die within one year. Our objectives were to develop and validate a scale that predicts one-year incident hip fracture using the home care resident assessment instrument (RAI-HC).MethodsThis is a retrospective cohort study of linked population data. People receiving home care in Ontario, Canada between April 1st, 2011 and March 31st, 2015 were included. Clinical data were obtained from the RAI-HC which was linked to the Discharge Abstract Database and National Ambulatory Care Reporting System to capture one-year incident hip fractures. Seventy-five percent (n = 238,011) of the sample were randomly assigned to a derivation and 25% (n = 79,610) to a validation sample. A decision tree was created with the derivation sample using known fracture risk factors. The final nodes of the decision tree were collapsed into 8 risk levels and logistic regression was performed to determine odds of having a fracture for each level. c-Statistics were calculated to compare the discriminative properties of the full, derivation, and validation samples.ResultsApproximately 60% of the sample were women and 53% were 80 years and older. A total of 11,526 (3.6%) fractures were captured over the 1-year time period. Of these, 5057 (43.9%) were hip fractures. The proportion who experienced a hip fracture in the next year ranged from 0.3% in the lowest risk level to 5.2% in the highest risk level. People in the highest risk level had 18.8 times higher odds (95% confidence interval, 14.6 to 24.3) of experiencing a hip fracture within one year than those in the lowest. c-Statistics were similar for the full (0.658), derivation (0.662), and validation (0.645) samples.ConclusionsThe FRS-HC predicts hip fracture over one year and should be used to guide clinical care planning for home care recipients at high risk for fracture. Our next steps are to develop a fracture risk clinical assessment protocol to link treatment recommendations with identified fracture risk.
Services for women’s sexual and reproductive health in India: an analysis of treatment-seeking for symptoms of reproductive tract infections in a nationally representative survey
Authors: Bhasin Shikha , Shukla Ankita , Desai Sapna 
Published: July 2020

Abstract
Background
Women’s health policy in India has had a longstanding focus on maternal health and family planning. Recent policy highlights the importance of expanding women’s access to a broader range of sexual and reproductive health services. However, there has been very limited analysis of national survey data to examine the current status of treatment utilisation, variation across states and progress over time.

Methods
This paper examines women’s treatment patterns for reproductive tract infections in India, based on data collected in the National Family Health Survey, a cross-sectional, nationally representative household survey conducted between 2015-16. The survey covered 699,686 women between the ages 15 and 49, of which 91,818 ever sexually active women responded to questions related to symptoms of reproductive tract infections. We estimate prevalence of reported symptoms and treatment-seeking, describe regional variation and utilise multivariable logistic regression to identify factors associated with women’s treatment-seeking patterns.

Results
Thirty-nine percent of women who reported symptoms of reproductive tract infections sought any advice or treatment. Women’s reported treatment-seeking in India has not changed since the last national survey a decade earlier. Reported symptoms and treatment-seeking varied widely across India, ranging from 64% in Punjab to 8% in Nagaland, with no clear regional pattern that emerged. Seventeen percent of symptomatic women sought services in the public sector, an improvement from 11% in 2005–06. Twenty-two percent utilised the private sector, with wide variation by states. National-level multivariable logistic regression indicated that treatment-seeking was associated with age, higher education, higher household wealth and having been employed in the past year. Women in the 25–35 age group had higher odds (aOR1.27; 95% CI: 1.10,1.50) of seeking treatment compared to both younger (15–19 years) and older (35 years and above) women, along with women with more than eight years of schooling (aOR: 1.23; 95% CI: 1.05,1.44) and from richer wealth quintiles (aOR: 1.53; 95% CI: 1.35,1.83).

Conclusion
Women’s use of services for reproductive tract infections remains a challenge in most parts of India. Our findings highlight the need to address barriers to seeking care and to improve measurement of gynaecological ailments in national surveys.
Establishment of a functional system for recombinant production of secreted proteins at 50 °C in the thermophilic Bacillus methanolicus
Authors: Irla Marta , Drejer Eivind B. , Brautaset Trygve , Hakvåg Sigrid 
Published: July 2020

Abstract
Background
The suitability of bacteria as microbial cell factories is dependent on several factors such as price of feedstock, product range, production yield and ease of downstream processing. The facultative methylotroph Bacillus methanolicus is gaining interest as a thermophilic cell factory for production of value-added products from methanol. The aim of this study was to expand the capabilities of B. methanolicus as a microbial cell factory by establishing a system for secretion of recombinant proteins.

Results
Native and heterologous signal peptides were tested for secretion of α-amylases and proteases, and we have established the use of the thermostable superfolder green fluorescent protein (sfGFP) as a valuable reporter protein in B. methanolicus. We demonstrated functional production and secretion of recombinant proteases, α-amylases and sfGFP in B. methanolicus MGA3 at 50 °C and showed that the choice of signal peptide for optimal secretion efficiency varies between proteins. In addition, we showed that heterologous production and secretion of α-amylase from Geobacillus stearothermophilus enables B. methanolicus to grow in minimal medium with starch as the sole carbon source. An in silico signal peptide library consisting of 169 predicted peptides from B. methanolicus was generated and will be useful for future studies, but was not experimentally investigated any further here.

Conclusion
A functional system for recombinant production of secreted proteins at 50 °C has been established in the thermophilic B. methanolicus. In addition, an in silico signal peptide library has been generated, that together with the tools and knowledge presented in this work will be useful for further development of B. methanolicus as a host for recombinant protein production and secretion at 50 °C.
The biological function of m6A demethylase ALKBH5 and its role in human disease
Authors: Wang Jinyan , Wang Jinqiu , Gu Quan , Ma Yajun , Yang Yan , Zhu Jing , Zhang Quan’an 
Published: July 2020

AbstractHuman AlkB homolog H5 (ALKBH5) is a primary m6A demethylase, which is dysregulated and acts as a biological and pharmacological role in human cancers or non-cancers. ALKBH5 plays a dual role in various cancers through regulating kinds of biological processes, such as proliferation, migration, invasion, metastasis and tumor growth. In addition, it takes a great part in human non-cancer, including reproductive system diseases. The underlying regulatory mechanisms of ALKBH5 that relys on m6A-dependent modification are implicated with long non-coding RNA, cancer stem cell, autophagy and hypoxia. ALKBH5 is also an independent prognostic indicator in various cancers. In this review, we summarized the current evidence on ALKBH5 in diverse human cancers or non-cancers and its potential as a prognostic target.
Intra-subject approach for gait-event prediction by neural network interpretation of EMG signals
Authors: Di Nardo Francesco , Morbidoni Christian , Mascia Guido , Verdini Federica , Fioretti Sandro 
Published: July 2020

AbstractBackgroundMachine learning models were satisfactorily implemented for estimating gait events from surface electromyographic (sEMG) signals during walking. Most of them are based on inter-subject approaches for data preparation. Aim of the study is to propose an intra-subject approach for binary classifying gait phases and predicting gait events based on neural network interpretation of sEMG signals and to test the hypothesis that the intra-subject approach is able to achieve better performances compared to an inter-subject one. To this aim, sEMG signals were acquired from 10 leg muscles in about 10.000 strides from 23 healthy adults, during ground walking, and a multi-layer perceptron (MLP) architecture was implemented.ResultsClassification/prediction accuracy was tested vs. the ground truth, represented by the foot–floor-contact signal provided by three foot-switches, through samples not used during training phase. Average classification accuracy of 96.1 ± 1.9% and mean absolute value (MAE) of 14.4 ± 4.7 ms and 23.7 ± 11.3 ms in predicting heel-strike (HS) and toe-off (TO) timing were provided. Performances of the proposed approach were tested by a direct comparison with performances provided by the inter-subject approach in the same population. Comparison results showed 1.4% improvement of mean classification accuracy and a significant (p < 0.05) decrease ofMAEin predicting HS and TO timing (23% and 33% reduction, respectively).ConclusionsThe study developed an accurate methodology for classification and prediction of gait events, based on neural network interpretation of intra-subject sEMG data, able to outperform more typical inter-subject approaches. The clinically useful contribution consists in predicting gait events from only EMG signals from a single subject, contributing to remove the need of further sensors for the direct measurement of temporal data.
Modeling the risk factors for dyslipidemia and blood lipid indices: Ravansar cohort study
Authors: Rezaei Mansour , Fakhri Negin , Pasdar Yahya , Moradinazar Mehdi , Najafi Farid 
Published: July 2020

Abstract
Background
Lipid disorder is one of the most important risk factors for chronic diseases. Identifying the factors affecting the development of lipid disorders helps reduce chronic diseases, especially Chronic Heart Disease (CHD). The aim of this study was to model the risk factors for dyslipidemia and blood lipid indices.

Methods
This study was conducted based on the data collected in the initial phase of Ravansar cohort study (2014–16). At the beginning, all the 453 available variables were examined in 33 stages of sensitivity analysis by perceptron Artificial Neural Network (ANN) data mining model. In each stage, the variables that were more important in the diagnosis of dyslipidemia were identified. The relationship among the variables was investigated using stepwise regression. The data obtained were analyzed in SPSS software version 25, at 0.05 level of significance.

Results
Forty percent of the subjects were diagnosed with lipid disorder. ANN identified 12 predictor variables for dyslipidemia related to nutrition and physical status. Alkaline phosphatase, Fat Free Mass (FFM) index, and Hemoglobin (HGB) had a significant relationship with all the seven blood lipid markers. The Waist Hip Ratio was the most effective variable that showed a stronger correlation with cholesterol and Low-Density Lipid (LDL). The FFM index had the greatest effect on triglyceride, High-Density Lipid (HDL), cholesterol/HDL, triglyceride/HDL, and LDL/HDL. The greatest coefficients of determination pertained to the triglyceride/HDL (0.203) and cholesterol/HDL (0.188) model with nine variables and the LDL/HDL (0.180) model with eight variables.

Conclusion
According to the results, alkaline phosphatase, FFM index, and HGB were three common predictor variables for all the blood lipid markers. Specialists should focus on controlling these factors in order to gain greater control over blood lipid markers.
Contribution of brain pericytes in blood–brain barrier formation and maintenance: a transcriptomic study of cocultured human endothelial cells derived from hematopoietic stem cells
Authors: Heymans Marjolein , Figueiredo Ricardo , Dehouck Lucie , Francisco David , Sano Yasuteru , Shimizu Fumitaka , Kanda Takashi , Bruggmann Rémy , Engelhardt Britta , Winter Peter , Gosselet Fabien , Culot Maxime 
Published: July 2020

AbstractFormation, maintenance, and repair of the blood–brain barrier (BBB) are critical for central nervous system homeostasis. The interaction of endothelial cells (ECs) with brain pericytes is known to induce BBB characteristics in brain ECs during embryogenesis and can be used to differentiate human ECs from stem cell source in in vitro BBB models. However, the molecular events involved in BBB maturation are not fully understood. To this end, human ECs derived from hematopoietic stem cells were cultivated with either primary bovine or cell line-derived human brain pericytes to induce BBB formation. Subsequently, the transcriptomic profiles of solocultured vs. cocultured ECs were analysed over time by Massive Analysis of cDNA Ends (MACE) technology. This RNA sequencing method is a 3′-end targeted, tag-based, reduced representation transcriptome profiling technique, that can reliably quantify all polyadenylated transcripts including those with low expression. By analysing the generated transcriptomic profiles, we can explore the molecular processes responsible for the functional changes observed in ECs in coculture with brain pericytes (e.g. barrier tightening, changes in the expression of transporters and receptors). Our results identified several up- and downregulated genes and signaling pathways that provide a valuable data source to further delineate complex molecular processes that are involved in BBB formation and BBB maintenance. In addition, this data provides a source to identify novel targets for central nervous system drug delivery strategies.
Screening of postpartum depression among new mothers in Istanbul: a psychometric evaluation of the Turkish Edinburgh Postnatal Depression Scale
Authors: Boran Perran , Waqas Ahmed , Aşkan Öykü Özbörü , Topçu İrem , Dogan Tugay , Rahman Atif 
Published: July 2020

Abstract
Objective
This study is the first concerted effort to ascertain factor structure of EPDS using evidence based analytical techniques. It is the most widely used scale for assessing postpartum depression in Turkey, and yet no investigations have been conducted to assess it factor structure. This study was conducted from April 2012 to April 2018 at the Marmara University Hospital operating under the name of Marmara University Pendik Training and Research Hospital in Istanbul Turkey.

Results
A total of 1700 women were included in this study, who responded to the EPDS, in addition to demographic characteristics and well-being of their offspring. A total of 1615 mothers provided adequate data for inclusion in analysis. Standardized Chronbach’s alpha for EPDS was 0.81 with corrected item-total correlations ranging from 0.35 to 0.62. Parallel analysis, MAP Velicer Test and Hull’s method dictated retaining of one factor structure. All the items revealed adequate communalities (> 0.20) except item 2 (enjoyment) and item 10 (self-harm). Their communalities were 0.16 and 0.19, however, these items were not dropped. All of the items yielded moderate to strong factor loadings. Minimum factor loading was for item 2 (0.40) and highest for item 8 (0.71).
Molecular imaging of the urokinase plasminogen activator receptor: opportunities beyond cancer
Authors: Baart V. M. , Houvast R. D. , de Geus-Oei L. F. , Quax P. H. A. , Kuppen P. J. K. , Vahrmeijer A. L. , Sier C. F. M. 
Published: July 2020

AbstractThe urokinase plasminogen activator receptor (uPAR) plays a multifaceted role in almost any process where migration of cells and tissue-remodeling is involved such as inflammation, but also in diseases as arthritis and cancer. Normally, uPAR is absent in healthy tissues. By its carefully orchestrated interaction with the protease urokinase plasminogen activator and its inhibitor (plasminogen activator inhibitor-1), uPAR localizes a cascade of proteolytic activities, enabling (patho)physiologic cell migration. Moreover, via the interaction with a broad range of cell membrane proteins, like vitronectin and various integrins, uPAR plays a significant, but not yet completely understood, role in differentiation and proliferation of cells, affecting also disease progression. The implications of these processes, either for diagnostics or therapeutics, have received much attention in oncology, but only limited beyond. Nonetheless, the role of uPAR in different diseases provides ample opportunity to exploit new applications for targeting. Especially in the fields of oncology, cardiology, rheumatology, neurology, and infectious diseases, uPAR-targeted molecular imaging could offer insights for new directions in diagnosis, surveillance, or treatment options.
Study protocol for a group-based motivational interviewing brief intervention to reduce substance use and sexual risk behavior among young adults experiencing homelessness
Authors: Tucker Joan S. , D’Amico Elizabeth J. , Pedersen Eric R. , Rodriguez Anthony , Garvey Rick 
Published: July 2020

Abstract
Background
Young people experiencing homelessness have alarmingly high rates of alcohol and other drug (AOD) use, which is associated with sexual risk behaviors such as unprotected sex, trading sex, and sex with multiple casual partners. Few risk reduction programs for this population have been developed and rigorously evaluated, particularly those that address both of these interrelated behaviors, use a collaborative and non-judgmental approach, and are feasible to deliver in settings where homeless young people seek services. This paper describes the protocol of a study evaluating a four-session Motivational Interviewing (MI)-based group risk reduction intervention for this population. The protocol has been shown to be efficacious in pilot work over 3 months with 200 homeless young adults [1]. The current study seeks to refine the intervention protocol and evaluate the program on a larger scale.

Methods/design
In a cluster-cross-over randomized controlled trial, 18–25 year olds will receive the AWARE risk reduction program (n = 200) or standard care (n = 200) at one of three drop-in centers serving homeless youth in the Los Angeles area. We will evaluate intervention effects on primary outcomes of AOD use and sexual risk behavior, as well as secondary outcomes of health-related quality of life and social stability, over a 12-month period.

Discussion
This project has the potential to fill a significant gap in prevention services by demonstrating that a brief intervention, feasible to deliver within settings where young people experiencing homelessness typically seeks services, can significantly reduce the interrelated problems of AOD use and sexual risk behavior.
Trial registration ClinicalTrials.gov Identifier: NCT03735784. Registered November 18, 2018, https://clinicaltrials.gov/ct2/show/record/NCT03735784 (retrospectively registered)
Prevalence and abundance of selected genes conferring macrolide resistance genes in COPD patients during maintenance treatment with azithromycin
Authors: Djamin Remco S. , Talman Sander , Schrauwen Eefje J. A. , von Wintersdorff Christian J. H. , Wolffs Petra F. , Savelkoul Paul H. M. , Uzun Sevim , Kerstens René , van der Eerden Menno M. , Kluytmans Jan A. J. W. 
Published: July 2020

Abstract
Objectives
Maintenance treatment with macrolide antibiotics has shown to be effective in reducing exacerbations in COPD patients. A major concern with prolonged treatment with antibiotics is the development of bacterial resistance. In this study we determined the effect of azithromycin on the development and acquisition of resistance to macrolides in the nasopharyngeal flora in COPD patients.

Methods
This study was part of the COLUMBUS trial, a randomised, double-blind, placebo-controlled trial to measure the effect of maintenance treatment with azithromycin in 92 COPD patients on the exacerbation rates during a 12-month period. In order to determine resistance to macrolides, we used a targeted metagenomic approach to measure the presence and relative abundance of specific macrolide resistance genes ermB, ermF and mefA in throat samples collected at different time-points during this 12-month period.

Results
There was no increased risk for acquisition of macrolide resistance genes in the azithromycin group compared to the placebo group in COPD patients. However, loss of the macrolide resistance gene ermB was increased overtime in the placebo treated group compared to the azithromycin group (n = 5 for the placebo group versus n = 0 for the azithromycin group at 12 months; p = 0.012). The change in relative abundance of the three macrolide-resistance genes showed that all but one (ermF) increased during treatment with azithromycin.

Conclusions
The acquisition rate of macrolide resistance genes in COPD patients treated with azithromycin maintenance therapy was limited, but the relative abundance of macrolide resistance genes increased significantly over time compared to placebo.
This study was part of the COLUMBUS trial (Clinicaltrials.gov, NCT00985244).