bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dengue Virus-Infected Dendritic Cells, but Not Monocytes, Activate Natural Killer Cells through a Contact-Dependent Mechanism Involving Adhesion Molecules
Authors: Costa Vivian Vasconcelos , Ye Weijian , Chen Qingfeng , Teixeira Mauro Martins , Preiser Peter , Ooi Eng Eong , Chen Jianzhu 
Published: August 2017

ABSTRACTNatural killer (NK) cells play a protective role against dengue virus (DENV) infection, but the cellular and molecular mechanisms are not fully understood. Using an optimized humanized mouse model, we show that human NK cells, through the secretion of gamma interferon (IFN-γ), are critical in the early defense against DENV infection. Depletion of NK cells or neutralization of IFN-γ leads to increased viremia and more severe thrombocytopenia and liver damage in humanized mice.In vitrostudies using autologous human NK cells show that DENV-infected monocyte-derived dendritic cells (MDDCs), but not monocytes, activate NK cells in a contact-dependent manner, resulting in upregulation of CD69 and CD25 and secretion of IFN-γ. Blocking adhesion molecules (LFA-1, DNAM-1, CD2, and 2β4) on NK cells abolishes NK cell activation, IFN-γ secretion, and the control of DENV replication. NK cells activated by infected MDDCs also inhibit DENV infection in monocytes. These findings show the essential role of human NK cells in protection against acute DENV infectionin vivo, identify adhesion molecules and dendritic cells required for NK cell activation, and delineate the sequence of events for NK cell activation and protection against DENV infection.IMPORTANCEDengue is a mosquito-transmitted viral disease with a range of symptoms, from mild fever to life-threatening dengue hemorrhagic fever. The diverse disease manifestation is thought to result from a complex interplay between viral and host factors. Using mice engrafted with a human immune system, we show that human NK cells inhibit virus infection through secretion of the cytokine gamma interferon and reduce disease pathogenesis, including depletion of platelets and liver damage. During a natural infection, DENV initially infects dendritic cells in the skin. We find that NK cells interact with infected dendritic cells through physical contact mediated by adhesion molecules and become activated before they can control virus infection. These results show a critical role of human NK cells in controlling DENV infectionin vivoand reveal the sequence of molecular and cellular events that activate NK cells to control dengue virus infection.
B Cell Requirement for Robust Regulatory T Cell Responses to Friend Retrovirus Infection
Authors: Moore Tyler C. , Gonzaga Lorena M. , Mather Jennifer M. , Messer Ronald J. , Hasenkrug Kim J. 
Published: August 2017

ABSTRACTRegulatory T cells (Tregs) are immunosuppressive cells of the immune system that control autoimmune reactivity. Tregs also respond during immune reactions to infectious agents in order to limit immunopathological damage from potent effectors such as CD8+cytolytic T lymphocytes. We have used the Friend virus (FV) model of retroviral infection in mice to investigate how viral infections induce Tregs. During acute FV infection, there is significant activation and expansion of thymus-derived (natural) Tregs that suppress virus-specific CD8+T cell responses. Unlike conventional T cells, the responding Tregs are not virus specific, so the mechanisms that induce their expansion are of great interest. We now show that B cells provide essential signals for Treg expansion during FV infection. Treg responses are greatly diminished in B cell-deficient mice but can be restored by adoptive transfers of B cells at the time of infection. The feeble Treg responses in B cell-deficient mice are associated with enhanced virus-specific CD8+T cell responses and accelerated virus control during the first 2 weeks of infection.In vitroexperiments demonstrated that B cells promote Treg activation and proliferation through a glucocorticoid-induced receptor superfamily member 18 (GITR) ligand-dependent mechanism. Thus, B cells play paradoxically opposing roles during FV infection. They provide proliferative signals to immunsosuppressive Tregs, which slows early virus control, and they also produce virus-specific antibodies, which are essential for long-term virus control.IMPORTANCEWhen infectious agents invade a host, numerous immunological mechanisms are deployed to limit their replication, neutralize their spread, and destroy the host cells harboring the infection. Since immune responses also have a strong capacity to damage host cells and tissues, their magnitude, potency, and duration are under regulatory control. Regulatory T cells are an important component of this control, and the mechanisms that induce them to respond and exert immunosuppressive regulation are of great interest. In the current report, we show that B cells, the cells responsible for making pathogen-specific antibodies, are also involved in promoting the expansion of regulatory T cells during a retroviral infection.In vitrostudies demonstrated that they do so via stimulation of the Tregs through interactions between cell surface molecules: GITR interactions with its ligand (GITRL) on B cells and GITR on regulatory T cells. These findings point the way toward therapeutics to better treat infections and autoimmune diseases.
Burden of child and adolescent obesity on health services in England
Authors: Viner Russell M , Kinra Sanjay , Nicholls Dasha , Cole Tim , Kessel Anthony , Christie Deborah , White Billy , Croker Helen , Wong Ian C K , Saxena Sonia 
Published: August 2017

ObjectiveTo assess the numbers of obese children and young people (CYP) eligible for assessment and management at each stage of the childhood obesity pathway in England.DesignPathway modelling study, operationalising the UK National Institute for Health and Care Excellence guidance on childhood obesity management against national survey data.SettingData on CYP aged 2–18 years from the Health Survey for England 2006 to 2013.Main outcome measuresClinical obesity (body mass index (BMI) >98th centile), extreme obesity (BMI ≥99.86th centile); family history of cardiovascular disease or type 2 diabetes; obesity comorbidities defined as primary care detectable (hypertension, orthopaedic or mobility problems, bullying or psychological distress) or secondary care detectable (dyslipidaemia, hyperinsulinaemia, high glycated haemoglobin, abnormal liver function).Results11.2% (1.22 million) of CYP in England were eligible for primary care assessment and for community lifestyle modification. 2.6% (n=283 500) CYP were estimated to be likely to attend primary care. 5.1% (n=556 000) were eligible for secondary care referral. Among those aged 13–18 years, 8.2% (n=309 000) were eligible for antiobesity drug therapy and 2.4% (90 500) of English CYP were eligible for bariatric surgery. CYP from the most deprived quintile were 1.5-fold to 3-fold more likely to be eligible for obesity management.ConclusionsThere is a mismatch between population burden and available data on service use for obesity in CYP in England, particularly among deprived young people. There is a need for consistent evidence-based commissioning of services across the childhood obesity pathway based on population burden.
Optical coherence tomography angiography characterisation of Best disease and associated choroidal neovascularisation
Authors: Guduru Abhilash , Gupta Arushi , Tyagi Mudit , Jalali Subhadra , Chhablani Jay 
Published: August 2017

AimsTo characterise the vasculature of the retina in patients with Best vitelliform dystrophy, including those with choroidal neovascularisation (CNV), using optical coherence tomography angiography (OCTA) and correlate with fluorescein angiography (FA).MethodsThis prospective observational study included 19 eyes of 10 patients with Best disease. Using OCTA, all layers of retina were qualitatively characterised for each eye. Patients with CNV also underwent FA, and areas of CNV were measured by OCTA and FA and correlated.ResultsRetinal characteristics revealed 14 (74%) eyes with abnormal foveal avascular zone (FAZ) in the superficial layer, 19 eyes (100%) had an abnormal FAZ in deep layers, 11 (58%) eyes had a hyper-reflective centre in the superficial layer, 18 (95%) had patchy vascularity loss in the deep layer, 17 (89%) eyes had hyporeflective centre in the choriocapillary (CC) layer and 12 (63%) of those eyes had hyper-reflective material within the hyporeflective centre. Also, notably 6 (86%) CNV eyes had a "halo" or a hypolucent area surrounded in the CNV complex in the outer retinal layer. CNV patterns resembled dense net, loose net, mixed and a new found pattern of a ring shape. CNV measurements revealed an average area of 1.66±1.18mm2 using OCTA and an average area of 0.88±0.76mm2
using FA (p=0.15).ConclusionOCTA reveals that eyes with Best disease have abnormal FAZ, patchy vascularity loss in the superficial and deep layers of the retina and capillary dropout with a hyporeflective centre in CC layer. Further, OCTA is superior to FA in measuring CNV.
Sepsis and Critical Illness Research Center investigators: protocols and standard operating procedures for a prospective cohort study of sepsis in critically ill surgical patients
Authors: Loftus Tyler J , Mira Juan C , Ozrazgat-Baslanti Tezcan , Ghita Gabriella L , Wang Zhongkai , Stortz Julie A , Brumback Babette A , Bihorac Azra , Segal Mark S , Anton Stephen D , Leeuwenburgh Christiaan , Mohr Alicia M , Efron Philip A , Moldawer Lyle L , Moore Frederick A , Brakenridge Scott C 
Published: August 2017

IntroductionSepsis is a common, costly and morbid cause of critical illness in trauma and surgical patients. Ongoing advances in sepsis resuscitation and critical care support strategies have led to improved in-hospital mortality. However, these patients now survive to enter state of chronic critical illness (CCI), persistent low-grade organ dysfunction and poor long-term outcomes driven by the persistent inflammation, immunosuppression and catabolism syndrome (PICS). The Sepsis and Critical Illness Research Center (SCIRC) was created to provide a platform by which the prevalence and pathogenesis of CCI and PICS may be understood at a mechanistic level across multiple medical disciplines, leading to the development of novel management strategies and targeted therapies.MethodsHere, we describe the design, study cohort and standard operating procedures used in the prospective study of human sepsis at a level 1 trauma centre and tertiary care hospital providing care for over 2600 critically ill patients annually. These procedures include implementation of an automated sepsis surveillance initiative, augmentation of clinical decisions with a computerised sepsis protocol, strategies for direct exportation of quality-filtered data from the electronic medical record to a research database and robust long-term follow-up.Ethics and disseminationThis study has been registered at ClinicalTrials.gov, approved by the University of Florida Institutional Review Board and is actively enrolling subjects. Dissemination of results is forthcoming.
Balance deficiencies in women with fibromyalgia assessed using computerised dynamic posturography: a cross-sectional study in Spain
Authors: Pérez-de-Heredia-Torres Marta , Huertas-Hoyas Elisabet , Martínez-Piédrola Rosa , Palacios-Ceña Domingo , Alegre-Ayala Jorge , Santamaría-Vázquez Montserrat , Fernández-de-las-Peñas César 
Published: August 2017

ObjectivesOur aims were (1) to compare the sensory organisation of balance control and balance strategies between women with fibromyalgia (FM) and healthy women; (2) to investigate which sensory component, that is, vestibular, visual or somato-sensory, is the most affected in FM and (3) to determine the associations between the functional independence measure (FIM) and balance responses in FM.DesignCross-sectional observational study.SettingUrban regional hospital and university (Universidad Rey Juan Carlos, Madrid, Spain).ParticipantsTwenty women with FM and 20 matched healthy women.Primary/secondary outcome measuresThe sensory organisation test (SOT) was used to determine postural sway and balance during six different conditions with subjects in a standing position. The FIM was used to determine the level of functional independence in daily life activities (ADL). Between-group differences were analysed with analysis of covariance, and the Spearman's test was used for correlations.ResultsSignificant differences between-groups and between-conditions were found for all SOT conditions (all, p<0.001): women with FM showed lower scores being the vestibular score the most affected. Different correlations between SOT conditions and some specific ADL were observed in the FM group: bathing activity and balance condition 6 (rs=0.541; p<0.001), bed transfers activity and conditions 2 (rs=0.491; p<0.001) and 3 (rs=0.510; p<0.001), positioning strategy six and dressing the upper (rs=0.530; p<0.001) or lower (rs=0.562; p<0.001) body, and toileting (rs=0.521; p<0.001): the greater the loss of balance, the greater the interference on some daily life activities.ConclusionsWomen with FM exhibited balance deficiencies and used different strategies for maintaining their balance in standing, which was associated with a negative impact on functional independence.
Prevalence and correlates of symptoms of post-traumatic stress disorder among Chinese healthcare workers exposed to physical violence: a cross-sectional study
Authors: Shi Lei , Wang Lingling , Jia Xiaoli , Li Zhe , Mu Huitong , Liu Xin , Peng Boshi , Li Anqi , Fan Lihua 
Published: August 2017

ObjectivesPost-traumatic stress disorder (PTSD) is a common psychological maladjustment to undergoing a traumatic event. Our aim was to measure the prevalence of PTSD among Chinese healthcare workers exposed to physical violence‚ and explore the associations of their demographic characteristics, social support, personality traits‚ and coping styles with their PTSD symptoms.MethodsA cross-sectional study was conducted using the Workplace Violence Scale, Posttraumatic Stress Disorder Checklist-Civilian Version (PCL-C), Social Support Rating Scale (SSRS), Eysenck Personality Questionnaire-Revised Short Scale and Trait Coping Style Questionnaire. We used convenience sampling method to collect data from March 2015 to September 2016. Healthcare workers (n=2706) from 39 public hospitals located in Heilongjiang, Hebei and Beijing provinces of China completed the questionnaires (effective response rate=84.25%).ResultsOverall, the prevalence of physical violence in the previous 12 months was 13.60% (n=2706). The prevalence of PTSD among the healthcare workers who experienced physical violence was 28.0% (n=368). Most of the victims of physical violence (50.80%) did not exhibit PTSD symptoms based on their PCL-C scores, and 47.0% did not manifest the diagnostic criteria for PTSD after experiencing physical violence. The level of PTSD symptoms was negatively correlated with their scores on the SSRS (r=−0.188, p<0.001). The hierarchical regression analysis (block 3) revealed that, in women, positive coping was significantly associated with PTSD symptoms (β=−0.376, p=0.001). However, the effect of positive coping was not significant in men.ConclusionsThe results suggest that the aftermath of physical violence contributes to the current prevalence of PTSD. The positive effects of social support on PTSD symptoms suggest that it has practical implications for interventions to promote psychological health. The healthcare workers’ coping styles influenced the development of PTSD symptoms. Therefore, adopting effective coping styles and receiving social support have potential roles in the recovery from trauma after experiencing physical violence.
Childhood respiratory illness presentation and service utilisation in primary care: a six-year cohort study in Wellington, New Zealand, using natural language processing (NLP) software
Authors: Dowell Anthony , Darlow Ben , Macrae Jayden , Stubbe Maria , Turner Nikki , McBain Lynn 
Published: August 2017

ObjectivesTo identify childhood respiratory tract-related illness presentation rates and service utilisation in primary care by interrogating free text and coded data from electronic medical records.DesignRetrospective cohort study. Data interrogation used a natural language processing software inference algorithm.Setting36 primary care practices in New Zealand. Data analysed from January 2008 to December 2013.ParticipantsThe records from 77 582 children enrolled were reviewed over a 6-year period to estimate the presentation of childhood respiratory illness and service utilisation. This cohort represents 268 919 person-years of data and over 650 000 unique consultations.Main outcome measureChildhood respiratory illness presentation rate to primary care practice, with description of seasonal and yearly variation.ResultsRespiratory conditions constituted 46% of all child-general practitioner consultations with a stable year-on-year pattern of seasonal peaks. Upper respiratory tract infection was the most common respiratory category accounting for 21.0% of all childhood consultations, followed by otitis media (12.2%), wheeze-related illness (9.7%), throat infection (7.4%) and lower respiratory tract infection (4.4%). Almost 70% of children presented to their general practitioner with at least one respiratory condition in their first year of life; this reduced to approximately 25% for children aged 10–17.ConclusionThis is the first study to assess the primary care incidence and service utilisation of childhood respiratory illness in a large primary care cohort by interrogating electronic medical record free text. The study identified the very high primary care workload related to childhood respiratory illness, especially during the first 2 years of life. These data can enable more effective planning of health service delivery. The findings and methodology have relevance to many countries, and the use of primary care ‘big data’ in this way can be applied to other health conditions.
Improving hospital death certification in Vietnam: results of a pilot study of injury-related fatalities
Authors: Walton Merrilyn , Harrison Reema , Chevalier Anna , Esguerra Esmond , Chinh Nguyen Duc , Haian Haphan , Duong Dang Van , Giang Huong 
Published: August 2017

BackgroundVietnam has prioritised the establishment of a civil registration system for deaths but as yet is unable to report accurate national statistics for the population of 93.5 million people due to inadequate mortality data. Verbal autopsy data suggest that injury is a third leading cause of death (by International Statistical Classification of Diseases and Related Health Problems 10th Revision chapters) in Vietnam, with road traffic injuries in particular a significant and increasing challenge. The study aims to present a more accurate profile of the number and probable causes of these deaths based on data collected hospitals using a version of the WHO death certificate modified for the Vietnamese context.MethodsDeath data collected from Viet Duc Surgical and Trauma Hospital in Vietnam between 1 March 2013 to 31 March 2015 was analysed to explore the number and probable causes of deaths for deaths resulting from an injury.ResultsA total of 1616 deaths were recorded for Viet Duc Hospital, of which 73% (1181/1616) were associated with an injury. Most (83%; n=871/1049) injury-related deaths for which immediate cause of death was documented were as a result of head/brain injuries. Injury-related deaths were most commonly caused by from traffic accidents (72%, 853/1181). The majority of patients suffering injury-related deaths were discharged home to die (93%, 1097/1181).ConclusionThe study confirms some findings from previous studies about deaths from injuries, while disagreeing with others, highlighting the challenge for Vietnam in collecting these data. Gathering detailed death data provides essential evidence on which to base decisions about allocation of government funding and policy for injury prevention and treatment.
Literature-Based Discovery by Learning Heterogeneous Bibliographic Information Networks
Authors: Sebastian Yakub 
Published: August 2017

Literature-based discovery (LBD) research aims at finding effective computational methods for retrieving previously unknown information connections between clusters of research papers from disparate research areas. Existing methods encompass two general approaches. The first approach searches for these unknown connections by examining the textual contents of research papers. In addition to the existing textual features, the second approach incorporates structural features of scientific literatures, such as citation structures. These approaches, however, have not considered research papers' latent bibliographic metadata structures as important features that can be used for predicting previously unknown relationships between them
This thesis investigates a new graph-based LBD method that exploits the latent bibliographic metadata connections between pairs of research papers. The heterogeneous bibliographic information network is proposed as an efficient graph-based data structure for modeling the complex relationships between these metadata. In contrast to previous approaches, this method seamlessly combines textual and citation information in the form of path-based metadata features for predicting future co-citation links between research papers from disparate research fields. The results reported in this thesis provide evidence that the method is effective for reconstructing the historical literature-based discovery hypotheses
This thesis also investigates the effects of semantic modeling and topic modeling on the performance of the proposed method. For semantic modeling, a general-purpose word sense disambiguation technique is proposed to reduce the lexical ambiguity in the title and abstract of research papers. The experimental results suggest that the reduced lexical ambiguity did not necessarily lead to a better performance of the method. This thesis discusses some of the possible contributing factors to these results.
Finally, topic modeling is used for learning the latent topical relations between research papers. The learned topic model is incorporated into the heterogeneous bibliographic information network graph and allows new predictive features to be learned. The results in this thesis suggest that topic modeling improves the performance of the proposed method by increasing the overall accuracy for predicting the future co-citation links between disparate research papers.
Scatter/Gather
Authors: Cutting Douglass R. , Karger David R. , Pedersen Jan O. , Tukey John W. 
Published: August 2017

Document clustering has not been well received as an information retrieval tool. Objections to its use fall into two main categories: first, that clustering is too slow for large corpora (with running time often quadratic in the number of documents); and second, that clustering does not appreciably improve retrieval.
We argue that these problems arise only when clustering is used in an attempt to improve conventional search techniques. However, looking at clustering as an information access tool in its own right obviates these objections, and provides a powerful new access paradigm. We present a document browsing technique that employs docum-ent clustering as its primary operation. We also present fast (linear time) clustering algorithm.