Psalm 9/11

Poetry

Unhealthy days and quality of life in Irish patients with diabetes

Objectives: To study the determinants of health-related quality of life (HRQoL) in Irish patients with diabetes using the Centres for Disease Controls' (CDC's) 'Unhealthy Days' summary measure and to assesses the agreement between this generic HRQoL measure and the disease-specific Audit of Diabetes Dependant Quality of Life (ADDQoL) measure. Research Design and Methods: Data were analysed from the Diabetes Quality of Life Study, a cross-sectional study of 1,456 people with diabetes in Ireland (71% response rate). Unhealthy days were assessed using the CDC's 'Unhealthy days' summary measure. Quality of life (QoL) was also assessed using the ADDQoL measure. Analyses were conducted primarily using logistic regression. The agreement between the two QoL instruments was measured using the kappa co-efficient. Results: Participants reported a median of 2 unhealthy days per month. In multivariate analyses, female gender (P = 0.001), insulin use (P = 0.030), diabetes complications (P =<0.001) were significantly associated with more unhealthy days. Older patients had fewer unhealthy days per month (P = 0.003). Agreement between the two measures of QoL (unhealthy days measure and ADDQoL) was poor, Kappa = 0.234 Conclusions: The findings highlight the determinants of HRQoL in patients with diabetes using a generic HRQoL summary measure. The 'Unhealthy Days' and the ADDQoL have poor agreement, therefore the 'Unhealthy Days' summary measure may be assessing a different construct. Nonetheless, this study demonstrates that the generic 'Unhealthy Days' summary measure can be used to detect determinants of HRQoL in patients with diabetes

An observational study of bail decision-making

Pre-trial detention of defendants has important legal, human rights and practical implications for defendants, their families, and society and therefore the area justifies research scrutiny. However, there is a dearth of empirical studies of bail decision-making and most of them have been retrospective studies. Prior studies have nevertheless identified a number of purported shortcomings in bail legislation and decision-making. The rarely used observational methodology employed in this study provided data that are not normally available from official records. The first appearances of 648 defendants were observed in the lower courts in metropolitan Perth (Western Australia) to identify factors that play a significant role in bail decision-making and to collect baseline data for a longitudinal study. Legal factors made a significant contribution to the bail decision, while extra-legal factors did not

Serum cholesterol and variant in cholesterol-related gene CETP predict white matter microstructure

Several common genetic variants influence cholesterol levels, which play a key role in overall health. Myelin synthesis and maintenance are highly sensitive to cholesterol concentrations, and abnormal cholesterol levels increase the risk for various brain diseases, including Alzheimer's disease. We report significant associations between higher serum cholesterol (CHOL) and high-density lipoprotein levels and higher fractional anisotropy in 403 young adults (23.8 ± 2.4years) scanned with diffusion imaging and anatomic magnetic resonance imaging at 4Tesla. By fitting a multi-locus genetic model within white matter areas associated with CHOL, we found that a set of 18 cholesterol-related, single-nucleotide polymorphisms implicated in Alzheimer's disease risk predicted fractional anisotropy. We focused on the single-nucleotide polymorphism with the largest individual effects, CETP (rs5882), and found that increased G-allele dosage was associated with higher fractional anisotropy and lower radial and mean diffusivities in voxel-wise analyses of the whole brain. A follow-up analysis detected white matter associations with rs5882 in the opposite direction in 78 older individuals (74.3 ± 7.3years). Cholesterol levels may influence white matter integrity, and cholesterol-related genes may exert age-dependent effects on the brain

Genre, Methodology and Feminist Practice

The rainy season is not quite over although it has nearly spent itself. I drive leisurely along five miles of roller coaster highway, down and up, up and down again as I drink in the grandeur of the sunset. I come to the 'big hill', around and over which the road twines narrowly. From its summit I see at my left a deep purple canyon, green at the bottom with irrigated fields. At my right the sun is setting across a wide valley, the shadows replaced by roseate gold interrupted by the white resplendence of chalk cliffs. As if this were not sufficient, a light female rain like that which falls constantly over the home of the Corn gods, drops between me and the sun. I gasp in my inability to comprehend the sight fully as I turn my head forty-five degrees to behold a complete rainbow and behind it the thinnest slice of a new moon. (Gladys Reichard, 1934:122)Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/68113/2/10.1177_0308275X9301300405.pd

Attributable Outcomes of Endemic Clostridium difficile–associated Disease in Nonsurgical Patients

CDAD led to significantly worse outcomes in these patients

FLIM FRET Technology for Drug Discovery: Automated Multiwell-Plate High-Content Analysis, Multiplexed Readouts and Application in Situ**

A fluorescence lifetime imaging (FLIM) technology platform intended to read out changes in Förster resonance energy transfer (FRET) efficiency is presented for the study of protein interactions across the drug-discovery pipeline. FLIM provides a robust, inherently ratiometric imaging modality for drug discovery that could allow the same sensor constructs to be translated from automated cell-based assays through small transparent organisms such as zebrafish to mammals. To this end, an automated FLIM multiwell-plate reader is described for high content analysis of fixed and live cells, tomographic FLIM in zebrafish and FLIM FRET of live cells via confocal endomicroscopy. For cell-based assays, an exemplar application reading out protein aggregation using FLIM FRET is presented, and the potential for multiple simultaneous FLIM (FRET) readouts in microscopy is illustrated

Exuberant fibroblast activity compromises lung function via ADAMTS4

© 2020, The Author(s), under exclusive licence to Springer Nature Limited. Severe respiratory infections can result in acute respiratory distress syndrome (ARDS)1. There are no effective pharmacological therapies that have been shown to improve outcomes for patients with ARDS. Although the host inflammatory response limits spread of and eventually clears the pathogen, immunopathology is a major contributor to tissue damage and ARDS1,2. Here we demonstrate that respiratory viral infection induces distinct fibroblast activation states, which we term extracellular matrix (ECM)-synthesizing, damage-responsive and interferon-responsive states. We provide evidence that excess activity of damage-responsive lung fibroblasts drives lethal immunopathology during severe influenza virus infection. By producing ECM-remodelling enzymes—in particular the ECM protease ADAMTS4—and inflammatory cytokines, damage-responsive fibroblasts modify the lung microenvironment to promote robust immune cell infiltration at the expense of lung function. In three cohorts of human participants, the levels of ADAMTS4 in the lower respiratory tract were associated with the severity of infection with seasonal or avian influenza virus. A therapeutic agent that targets the ECM protease activity of damage-responsive lung fibroblasts could provide a promising approach to preserving lung function and improving clinical outcomes following severe respiratory infections

Publisher Correction: Exuberant fibroblast activity compromises lung function via ADAMTS4 (Nature, (2020), 587, 7834, (466-471), 10.1038/s41586-020-2877-5)

© 2020, The Author(s), under exclusive licence to Springer Nature Limited. An amendment to this paper has been published and can be accessed via a link at the top of the paper