458 research outputs found

    The anatomy, neurophysiology, and cellular mechanisms of intradental sensation

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    Somatosensory innervation of the oral cavity enables the detection of a range of environmental stimuli including minute and noxious mechanical forces. The trigeminal sensory neurons underlie sensation originating from the tooth. Prior work has provided important physiological and molecular characterization of dental pulp sensory innervation. Clinical dental experiences have informed our conception of the consequence of activating these neurons. However, the biological role of sensory innervation within the tooth is yet to be defined. Recent transcriptomic data, combined with mouse genetic tools, have the capacity to provide important cell-type resolution for the physiological and behavioral function of pulp-innervating sensory neurons. Importantly, these tools can be applied to determine the neuronal origin of acute dental pain that coincides with tooth damage as well as pain stemming from tissue inflammation (i.e., pulpitis) toward developing treatment strategies aimed at relieving these distinct forms of pain

    A C. elegans neuron both promotes and suppresses motor behavior to fine tune motor output [preprint]

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    How neural circuits drive behavior is a central question in neuroscience. Proper execution of motor behavior requires the precise coordination of many neurons. Within a motor circuit, individual neurons tend to play discrete roles by promoting or suppressing motor output. How exactly neurons function in specific roles to fine tune motor output is not well understood. In C. elegans, the interneuron RIM plays important yet complex roles in locomotion behavior. Here, we show that RIM both promotes and suppresses distinct features of locomotion behavior to fine tune motor output. This dual function is achieved via the excitation and inhibition of the same motor circuit by electrical and chemical neurotransmission, respectively. Additionally, this bi-directional regulation contributes to motor adaptation in animals placed in novel environments. Our findings reveal that individual neurons within a neural circuit may act in opposing ways to regulate circuit dynamics to fine tune behavioral output

    Improving recovery - Learning from patients’ experiences after injury:A qualitative study

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    Objectives: To explore experiences of patients after injury and identify implications for clinical care and support within the hospital setting and primary care. Design: Semi-structured telephone administered qualitative interviews with purposive sampling and thematic qualitative analysis. Participants: Patients who have experienced an unintentional injury and attended hospital. Setting: Bristol, Surrey and Swansea. Results: Key issues that emerged were: most patients reported mixed experiences of hospital care but some described the delivery of care as depersonalising; the need for clinicians to provide adequate, timely and realistic information to patients about their injury and treatment to inform their expectations of recovery; the impact of pain at the time of the injury and for an extended period afterwards; the experience of injury on patients' emotional state with possible implications for longer term mental health issues; the pivotal role of physiotherapy care in providing practical and individualised strategies for recovery; and the importance of social support for recovery. Conclusions: Trauma patients' recovery needs to be supported by information protocols. The social circumstances of patients need to be considered at the point of discharge and during recovery. There is a need to identify people who may be experiencing mental health issues for timely referral to assessment services and appropriate care. Signposting to support groups may also be helpful for those with life changing injuries. Improved pain management would help alleviate discomfort and stress. Physiotherapy has a key role to play in supporting patients in recovery. © 2013 Elsevier Ltd. All rights reserved

    Fresh Versus Frozen Engineered Bone–Ligament–Bone Grafts for Sheep Anterior Cruciate Ligament Repair

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    Surgical intervention is often required to restore knee instability in patients with anterior cruciate ligament (ACL) injury. The most commonly used grafts for ACL reconstruction are tendon autografts or allografts. These current options, however, have shown failure rates requiring revision and continued instability in the long term. The mismatched biomechanical properties of the current tendon grafts compared with native ACL tissue are thought to contribute to these poor outcomes and potential risk of early onset osteoarthritis. As a possible solution to these issues, our laboratory has fabricated tissue-engineered ligament constructs that exhibit structural and functional properties similar to those of native ACL tissue after 6 months implantation. In addition, these tissue-engineered grafts achieve vascular and neural development that exceeds those of patellar tendon grafts. However, the utility of our tissue-engineered grafts is limited by the labor-intensive method required to produce the constructs and the need to use the constructs fresh, directly from the cell culturing system. Ideally, these constructs would be fabricated and stored until needed. Thus, in this study, we investigated the efficacy of freezing our tissue-engineered constructs as a method of preservation before use for ACL reconstruction. We hypothesized that frozen constructs would have similar histological and biomechanical outcomes compared with our fresh model. Our results showed that 6 months postimplantation as an ACL replacement graft, both our tissue-engineered fresh and frozen grafts demonstrated similar mechanical and histological outcomes, indicating that freezing is a suitable method for preserving and storing our graft before ACL reconstruction. The ability to use frozen constructs significantly increases the versatility of our graft technology expanding the clinical utility of our graft.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/140250/1/ten.tec.2014.0542.pd

    Transcriptomic analysis of field-droughted sorghum from seedling to maturity reveals biotic and metabolic responses.

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    Drought is the most important environmental stress limiting crop yields. The C4 cereal sorghum [Sorghum bicolor (L.) Moench] is a critical food, forage, and emerging bioenergy crop that is notably drought-tolerant. We conducted a large-scale field experiment, imposing preflowering and postflowering drought stress on 2 genotypes of sorghum across a tightly resolved time series, from plant emergence to postanthesis, resulting in a dataset of nearly 400 transcriptomes. We observed a fast and global transcriptomic response in leaf and root tissues with clear temporal patterns, including modulation of well-known drought pathways. We also identified genotypic differences in core photosynthesis and reactive oxygen species scavenging pathways, highlighting possible mechanisms of drought tolerance and of the delayed senescence, characteristic of the stay-green phenotype. Finally, we discovered a large-scale depletion in the expression of genes critical to arbuscular mycorrhizal (AM) symbiosis, with a corresponding drop in AM fungal mass in the plants' roots

    A case study in distributed team science in research using electronic health records

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    Abstract Introduction Safety issue of the new non-vitamin K Target Specific Oral Anticoagulants (TSOAC) in people who have had an intracranial haemorrhage required large numbers and data from multiple countries in a European study. To support this scientific research project, we report our approach and success in rapidly replicating datasets and analyses across Wales and Scotland.   Objective To develop an approach to rapidly replicate analyses and data which is reproducible and scalable, as an option towards development of an infrastructure that allows for and supports cross-country research within the UK/EU using Electronic Health Records (EHRs).   Methods Advantages and disadvantages of five potential approaches we considered are summarized. Welsh study cohort was generated through linking various datasets held in Secure Anonymous Information Linkage (SAIL) databank in Swansea using data linkage techniques. Scottish study cohort was generated from linking relevant datasets held in multiple data warehouses and brought to the Scottish National Data Safe Haven. Analysts based in Swansea and Edinburgh gained simultaneous access to both data safe havens which allowed for real time viewing and creation of analytical codes. A detailed comparison between Welsh and Scottish data has been conducted on the relevant datasets in this project. A set of high level results have been combined between study cohorts in Wales and Scotland.   Results The study cohort included pseudonymised information of 2,676 individuals in Wales and 4,153 in Scotland, 6,829 in total. A common R code script has been produced to harmonise individual data and outputs, which can be applied to a wide range of scientific projects under cross-centre working requirements.   Conclusion The approach we adopted is the simplest, yet a very efficient and cost-effective method to ensure consistency in analysis and coherence with the governance systems of both Welsh and Scottish safe havens. It can also be considered as an initialisation of developing infrastructure to support research using EHRs across the UK and EU

    Development and validation of an electronic frailty index using routine primary care electronic health record data

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    Background: frailty is an especially problematic expression of population ageing. International guidelines recommend routine identification of frailty to provide evidence-based treatment, but currently available tools require additional resource. Objectives: to develop and validate an electronic frailty index (eFI) using routinely available primary care electronic health record data. Study design and setting: retrospective cohort study. Development and internal validation cohorts were established using a randomly split sample of the ResearchOne primary care database. External validation cohort established using THIN database. Participants: patients aged 65–95, registered with a ResearchOne or THIN practice on 14 October 2008. Predictors: we constructed the eFI using the cumulative deficit frailty model as our theoretical framework. The eFI score is calculated by the presence or absence of individual deficits as a proportion of the total possible. Categories of fit, mild, moderate and severe frailty were defined using population quartiles. Outcomes: outcomes were 1-, 3- and 5-year mortality, hospitalisation and nursing home admission. Statistical analysis: hazard ratios (HRs) were estimated using bivariate and multivariate Cox regression analyses. Discrimination was assessed using receiver operating characteristic (ROC) curves. Calibration was assessed using pseudo-R2 estimates. Results: we include data from a total of 931,541 patients. The eFI incorporates 36 deficits constructed using 2,171 CTV3 codes. One-year adjusted HR for mortality was 1.92 (95% CI 1.81–2.04) for mild frailty, 3.10 (95% CI 2.91–3.31) for moderate frailty and 4.52 (95% CI 4.16–4.91) for severe frailty. Corresponding estimates for hospitalisation were 1.93 (95% CI 1.86–2.01), 3.04 (95% CI 2.90–3.19) and 4.73 (95% CI 4.43–5.06) and for nursing home admission were 1.89 (95% CI 1.63–2.15), 3.19 (95% CI 2.73–3.73) and 4.76 (95% CI 3.92–5.77), with good to moderate discrimination but low calibration estimates. Conclusions: the eFI uses routine data to identify older people with mild, moderate and severe frailty, with robust predictive validity for outcomes of mortality, hospitalisation and nursing home admission. Routine implementation of the eFI could enable delivery of evidence-based interventions to improve outcomes for this vulnerable group

    Overview of the CCP4 suite and current developments.

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    The CCP4 (Collaborative Computational Project, Number 4) software suite is a collection of programs and associated data and software libraries which can be used for macromolecular structure determination by X-ray crystallography. The suite is designed to be flexible, allowing users a number of methods of achieving their aims. The programs are from a wide variety of sources but are connected by a common infrastructure provided by standard file formats, data objects and graphical interfaces. Structure solution by macromolecular crystallography is becoming increasingly automated and the CCP4 suite includes several automation pipelines. After giving a brief description of the evolution of CCP4 over the last 30 years, an overview of the current suite is given. While detailed descriptions are given in the accompanying articles, here it is shown how the individual programs contribute to a complete software package

    A C. elegans neuron both promotes and suppresses motor behavior to fine tune motor output

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    How neural circuits drive behavior is a central question in neuroscience. Proper execution of motor behavior requires precise coordination of many neurons. Within a motor circuit, individual neurons tend to play discrete roles by promoting or suppressing motor output. How exactly neurons function in specific roles to fine tune motor output is not well understood. In C. elegans, the interneuron RIM plays important yet complex roles in locomotion behavior. Here, we show that RIM both promotes and suppresses distinct features of locomotion behavior to fine tune motor output. This dual function is achieved via the excitation and inhibition of the same motor circuit by electrical and chemical neurotransmission, respectively. Additionally, this bi-directional regulation contributes to motor adaptation in animals placed in novel environments. Our findings reveal that individual neurons within a neural circuit may act in opposing ways to regulate circuit dynamics to fine tune behavioral output
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