256 research outputs found

    Nutritional virulence of Legionella pneumophila.

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    Legionella pneumophila is an environment organism that parasitizes a wide range of protozoa. Growth within the environmental host primes L. pneumophila for infection of human alveolar macrophages when contaminated aerosols are inhaled. Intracellular replication within either host requires the establishment a replicative niche, known as the Legionella-containing vacuole (LCV). Biogenesis of the LCV depends on the type IVb translocation system, the Dot/Icm, to translocation \u3e320 effectors into the host cytosol. Effectors are responsible for preventing lysosome fusion to the LCV, recruitment of ER-derived vesicles to the LCV, and modulation of a plethora of host processes to promote the intracellular survival and replication of L. pneumophila. Nutrient requirements of the pathogen are reflective of its intracellular lifecycle, consuming host amino acids for carbon and energy. Amino acids, particularly serine and cysteine, are used to generate pyruvate to feed into the TCA cycle, which is the main metabolic pathway for generation of energy. Endogenous levels of host amino acids are insufficient to support robust intracellular replication. Excess host amino acids are generated by the AnkB effector through ubiquitination and proteasomal degradation of host proteins in the cytosol. Host amino acids must be transported across the LCV membrane to be utilized by L. pneumophila. Host solute carrier (SLC) transporters are the most likely candidate to import amino acids into the LCV lumen, as they have been detected in the LCV proteome of multiple mass-spectrometry studies. We sought to confirm the role of human SLCs in nutrient acquisition during intracellular growth of L. pneumophila. No amino acid-transporting SLCs were confirmed to colocalize to the LCV by confocal microscopy. However, a glucose transporter, SLC2a1/Glut1 was shown to be recruited the LCV in a Dot/Icm-dependent manner. The role of glucose in intracellular replication of L. pneumophila is poorly understood. Glucose minimally used through glycolysis, but metabolized through the Enter-Doudoroff pathway. Glucose does not support the replication of L. pneumophila during in vitro growth. We identified 10 SLC-like transporters in L. pneumophila based on their structural similarity to human SLCs. We characterized the role of two putative SLC-like glucose transporters, LstA and LstB of L. pneumophila, in import of glucose and in intracellular replication within human macrophages and amoebae. Single transporter mutants decrease L. pneumophila’s ability to import glucose but do not affect the ability to replicate within the host. Interestingly, the double mutant, lstA/lstB, is severely defective for import of glucose and for intracellular replication within human macrophages and Acanthamoeba polyphaga. These data show that glucose uptake by the redundant transporters, LstA and LstB, is required for in vivo growth. L. pneumophila encodes putative amylases effectors that may be degrading host glycogen as a means to generate glucose that is imported by LstA and LstB. We characterized the L. pneumophila amylase, LamB, because of its uniqueness amongst Legionella species. Here we describe LamB as a functional amylase that is required for intracellular replication of L. pneumophila in human macrophages and A. polyphaga. Additionally, the lamB mutant is completely attenuated in intra-pulmonary proliferation in the A/J mouse model. Taken together, these data further characterize nutritional virulence of L. pneumophila

    Recurrent urinary tract infections and prophylactic antibiotic use in women: a cross-sectional study in primary care

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    Background Despite the considerable morbidity caused by recurrent urinary tract infections (rUTIs), and the wider personal and public health implications from frequent antibiotic use, few studies adequately describe the prevalence and characteristics of women with rUTIs or those who use prophylactic antibiotics.Aim To describe the prevalence, characteristics, and urine profiles of women with rUTIs with and without prophylactic antibiotic use in Welsh primary care.Design and setting This was a retrospective cross-sectional study in Welsh general practice using the Secure Anonymised Information Linkage (SAIL) Databank.Method The characteristics of women aged ≥18 years with rUTIs or using prophylactic antibiotics from 2010 to 2020, and associated urine culture results from 2015 to 2020, are described.Results In total, 6.0% (n = 92 213/N = 1 547 919) had rUTIs, and 1.7% (n = 26 862/N = 1 547 919) were prescribed prophylactic antibiotics with the rates increasing after 57 years of age. Only 49.0% (n =13 149/N = 26 862) of users of prophylactic antibiotics met the definition of rUTIs before initiation. The study found that 80.8% (n = 44 947/N = 55 652) of women with rUTIs had a urine culture result in the preceding 12 months with high rates of resistance to trimethoprim and amoxicillin. Of women taking prophylactic antibiotics, 64.2% (n = 9926/N = 15 455) had a urine culture result before initiation and 18.5% (n = 320/N = 1730) of women prescribed trimethoprim had resistance to it on the antecedent sample.Conclusion A substantial proportion of women had rUTIs or incident prophylactic antibiotic use. However, 64.2% (n = 9926/N = 15 455) of women had urine cultured before starting prophylaxis. There was a high proportion of cultured bacteria resistant to two antibiotics used for rUTI prevention and evidence of resistance to the prescribed antibiotic. More frequent urine cultures for rUTI diagnosis and before prophylactic antibiotic initiation could better inform antibiotic choices

    Myocardial infarction and stroke subsequent to urinary tract infection (MISSOURI): protocol for a self-controlled case series using linked electronic health records

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    Introduction There is increasing interest in the relationship between acute infections and acute cardiovascular events. Most previous research has focused on understanding whether the risk of acute cardiovascular events increases following a respiratory tract infection. The relationship between urinary tract infections (UTIs) and acute cardiovascular events is less well studied. Therefore, the aim of this study is to determine whether there is a causal relationship between UTI and acute myocardial infarction (MI) or stroke.Methods and analysis We will undertake a self-controlled case series study using linked anonymised general practice, hospital admission and microbiology data held within the Secure Anonymised Information Linkage (SAIL) Databank. Self-controlled case series is a relatively novel study design where individuals act as their own controls, thereby inherently controlling for time-invariant confounders. Only individuals who experience an exposure and outcome of interest are included.We will identify individuals in the SAIL Databank who have a hospital admission record for acute MI or stroke during the study period of 2010–2020. Individuals will need to be aged 30–100 during the study period and be Welsh residents for inclusion. UTI will be identified using general practice, microbiology and hospital admissions data. We will calculate the incidence of MI and stroke in predefined risk periods following an UTI and in ‘baseline’ periods (without UTI exposure) and use conditional Poisson regression models to derive incidence rate ratios.Ethics and dissemination Data access, research permissions and approvals have been obtained from the SAIL independent Information Governance Review Panel, project number 0972. Findings will be disseminated through conferences, blogs, social media threads and peer-reviewed journals. Results will be of interest internationally to primary and secondary care clinicians who manage UTIs and may inform future clinical trials of preventative therapy

    Psychometric properties of the Arabic version of the international consultation on incontinence questionnaire on long-term catheter quality of life

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    Aim To translate the International Consultation on Incontinence Questionnaire (ICIQ) Long-Term Catheter Quality of Life (LTCqol) questionnaire (ICIQ-LTCqol) questionnaire from English to Arabic and evaluate its psychometric properties. Background Currently, no tool for Arabic speaking patients is available to measure the quality of life in patients using long-term urinary catheters. Design Translation and psychometric assessment of questionnaire. Methods The internal consistency and construct validity of the translated Arabic version of the ICIQ-LTCqol were evaluated in a convenience sample of 141 participants recruited from a hospital in Egypt from April to September 2017. Test-retest reliability was assessed for a sample of 15 participants who completed this version at two-time points. Construct validity was assessed by factor analysis. Results The translated Arabic version of the ICIQ-LTCqol showed satisfactory test-retest reliability and internal consistency, with Cronbach’s α = 0·75. Confirmatory factor analysis confirmed the same two factors (‘catheter function’ and ‘lifestyle’) structure as found in the English version of the tool supporting the construct validity of the translated questionnaire. Conclusion This original and significant study allows, for the first time, researchers and clinicians working with Arabic speaking patients, the opportunity to evaluate the quality of life in long-term urinary catheter users

    Purchasing of tobacco-related and e-cigarette-related products within prisons before and after implementation of smoke-free prison policy: analysis of prisoner spend data across Scotland, UK

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    Objectives To examine the effect of smoke-free prison policy implementation in November 2018 on purchasing patterns in the prison canteen (shop). Design Interrupted time series. Setting All 12 closed, publicly run prisons in Scotland, UK. Participants People in custody (PiC) between August 2018 and end of March 2019 (n=11 944). Interventions Implementation of smoke-free prisons policy. Outcome measures Total spent on all products, nicotine-related products, and food and beverage products per week. Methods Canteen data were provided for the period July 2018–September 2019 by the Scottish Prison Service. In a series of generalised linear mixed effects models, the amount spent before and after implementation of smoke-free prison policy was compared for all purchases in the time period, and for PiC identified as ‘smokers’ and ‘non-smokers’ from their pre-implementation tobacco purchasing patterns. Results The amount spent on nicotine-related products significantly decreased from pre-implementation to post implementation (incident rate ratio (IRR) 0.40; 99% CI 0.33 to 0.51,

    Adaptive piecewise equivalent circuit model with SOC/SOH estimation based on extended Kalman filter

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    Battery modelling plays a critical role in battery management tasks. A model that provides accurate estimations of state of charge and state of heath in varying operating conditions could significantly improve the performance of battery management systems. Departing from existing literature, this paper presents a self-adaptive Piecewise Equivalent Circuit Model (PECM) based on Extended Kalman Filter (EKF). While traditional Equivalent Circuit Models (ECM) are typically parameterized and validated for a specific range of working conditions (temperature, current and etc.), PECM is able to adapt itself to any working condition in real time. Established in the form of a combination of linear and nonlinear piecewise functions, the model parameters are continuously adjusted based on the measurement of voltage, current, and temperature. Another advantage of PECM is it does not require any prior tests in the lab, for example the Open Circuit Voltage (OCV) test which is time consuming and needs to be calibrated when aged. PECM is accurate, flexible and efficient. It has been validated for different battery chemistries, duty cycles, and temperatures. Furthermore, PECM comes with the State of Charge (SOC) and State of Health (SOH) estimation, which is shown in the model validation process and the degradation study. The results demonstrate that the piecewise parameter adaptation proposed in this paper can be applied to a range of different battery chemistries and at different aged states

    Latent Stochastic Differential Equations for Modeling Quasar Variability and Inferring Black Hole Properties

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    Active galactic nuclei (AGN) are believed to be powered by the accretion of matter around supermassive black holes at the centers of galaxies. The variability of an AGN's brightness over time can reveal important information about the physical properties of the underlying black hole. The temporal variability is believed to follow a stochastic process, often represented as a damped random walk described by a stochastic differential equation (SDE). With upcoming wide-field surveys set to observe 100 million AGN in multiple bandpass filters, there is a need for efficient and automated modeling techniques that can handle the large volume of data. Latent SDEs are well-suited for modeling AGN time series data, as they can explicitly capture the underlying stochastic dynamics. In this work, we modify latent SDEs to jointly reconstruct the unobserved portions of multivariate AGN light curves and infer their physical properties such as the black hole mass. Our model is trained on a realistic physics-based simulation of ten-year AGN light curves, and we demonstrate its ability to fit AGN light curves even in the presence of long seasonal gaps and irregular sampling across different bands, outperforming a multi-output Gaussian process regression baseline.Comment: 10 pages, 5 figures, accepted at the ICLR 2023 Workshop on Physics for Machine Learnin
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