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Differences in cardiac and aortic structure and function are associated with cardiovascular diseases and a wide range of other types of disease. Here we analyzed cardiovascular magnetic resonance images from a population-based study, the UK Biobank, using an automated machine-learning-based analysis pipeline. We report a comprehensive range of structural and functional phenotypes for the heart and aorta across 26,893 participants, and explore how these phenotypes vary according to sex, age and major cardiovascular risk factors. We extended this analysis with a phenome-wide association study, in which we tested for correlations of a wide range of non-imaging phenotypes of the participants with imaging phenotypes. We further explored the associations of imaging phenotypes with early-life factors, mental health and cognitive function using both observational analysis and Mendelian randomization. Our study illustrates how population-based cardiac and aortic imaging phenotypes can be used to better define cardiovascular disease risks as well as heart-brain health interactions, highlighting new opportunities for studying disease mechanisms and developing image-based biomarkers. Using magnetic resonance images of the heart and aorta from 26,893 individuals in the UK Biobank, a phenome-wide association study associates cardiovascular imaging phenotypes with a wide range of demographic, lifestyle and clinical features., Author(s): Wenjia Bai [sup.1] [sup.2] , Hideaki Suzuki [sup.2] [sup.3] [sup.4] , Jian Huang [sup.5] [sup.6] , Catherine Francis [sup.7] , Shuo Wang [sup.1] , Giacomo Tarroni [sup.8] [sup.9] , [...]

A new live cell-based assay platform has been developed for the determination of complement dependent cytotoxicity (CDC), antibody dependent cellular cytotoxicity (ADCC), and overall cytotoxicity in human whole blood. In these assays, the targeted tumor cell populations are first labeled with fluorescent Cell Tracker dyes and immobilized using a DNA-based adhesion technique. This allows the facile generation of live cell arrays that are arranged arbitrarily or in ordered rectilinear patterns. Following the addition of antibodies in combination with serum, PBMCs, or whole blood, cell death within the targeted population can be assessed by the addition of propidium iodide (PI) as a viability probe. The array is then analyzed with an automated microscopic imager. The extent of cytotoxicity can be quantified accurately by comparing the number of surviving target cells to the number of dead cells labeled with both Cell Tracker and PI. Excellent batch-to-batch reproducibility has been achieved using this method. In addition to allowing cytotoxicity analysis to be conducted in real time on a single cell basis, this new assay overcomes the need for hazardous radiochemicals. Fluorescently-labeled antibodies can be used to identify individual cells that bear the targeted receptors, but yet resist the CDC and ADCC mechanisms. This new approach also allows the use of whole blood in cytotoxicity assays, providing an assessment of antibody efficacy in a highly relevant biological mixture. Given the rapid development of new antibody-based therapeutic agents, this convenient assay platform is well-poised to streamline the drug discovery process significantly.

There is a paucity of studies examining which suicides are considered newsworthy. By combining data on media reports of individuals' suicides with routinely collected suicide data, it was found that 1% of Australian suicides were reported over a 1-year period. There was evidence of over-reporting of suicides by older people and females, and those involving dramatic methods. Reported suicides fell into three groups: suicides reported in a broader context; suicides by celebrities; and suicides involving unusual circumstances/methods. The data suggest a need for media professionals and suicide experts to work together to balance newsworthiness against the risk of copycat behavior. (Contains 2 tables.)

This study describes Australian media portrayal of mental illnesses, focusing on depression. A random sample of 1,123 items was selected for analysis from a pool of 13,389 nonfictional media items about mental illness collected between March 2000 and February 2001. Depression was portrayed more frequently than other mental illnesses. Items about depression, eating disorders, and substance use disorders most commonly described policies or programs, whereas items about schizophrenia most frequently portrayed individuals or symptoms and treatment. A minority of items about depression presented information about symptoms, causes, treatment, or prognosis. Although such information was generally accurate, a proportion of items conveyed misleading messages. There is therefore scope for increasing the level of accurate information provided about depression in the Australian media. (Contains 3 tables.)

To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.socscimed.2005.11.033 Byline: Jane E. Pirkis (a), Philip M. Burgess (b), Catherine Francis (a), R. Warwick Blood (c), Damien J. Jolley (d) Keywords: Suicide; Media; 'copycat' behaviours; Imitation.; Australia Abstract: This study aimed to determine whether media items about suicide were associated with differential increases in actual suicides. Data were available on 4635 suicide-related items appearing in Australian newspapers and on radio and television news and current affairs shows between March 2000 and February 2001. These data were combined with national data on completed suicides occurring during the same period, by a process that involved identifying the date and geographical reach of the media items and determining the number of suicides occurring in the same location in selected weeks pre- and post-item. Regression analyses were conducted to determine whether the likelihood of an increase in post-item suicides could be explained by particular item characteristics. We found that 39% of media items were followed by an increase in male suicides, and 31% by an increase in female suicides. Media items were more likely to be associated with increases in both male and female suicides if they occurred in the context of multiple other reports on suicide (versus occurring in isolation), if they were broadcast on television (versus other media), and if they were about completed suicide (versus attempted suicide or suicidal ideation). Different item content appeared to be influential for males and females, with an increase in male suicides being associated with items about an individual's experience of suicide and opinion pieces, and an increase in female suicides being associated with items about mass- or murder-suicide. Item prominence and quality were not differentially associated with increases in male or female suicides. Further research on this topic is required, but in the meantime there is a need to remain vigilant about how suicide news is reported. Mental health professionals and suicide experts should collaborate with media professionals to try to balance 'public interest' against the risk of harm. Author Affiliation: (a) University of Melbourne, Melbourne, Victoria, Australia (b) University of Queensland, Brisbane, Queensland, Australia (c) University of Canberra, Canberra, Australian Capital Territory, Australia (d) Monash University, Melbourne, Victoria, Australia

Introduction: This research aims to understand the content and nature, and to explore the harm potential, of suspected 3,4‐methylenedioxymethamphetamine (MDMA) substances circulating at music festivals in New South Wales. Methods: Across 19 music festivals held between October 2019 and March 2020, 302 substances detected and suspected by police to contain MDMA were selected for quantitative analysis. Results: Five percent of substances contained a drug other than MDMA (n = 13) or no drug (n = 2). The remaining 95.0% (n = 287) contained MDMA. Of this sub‐sample, capsule was the commonest form (83.3%), followed by tablet (7.7%), crystal (6.3%) and powder (2.8%). The median MDMA base‐purity of non‐tablet forms ranged between 73.5% and 75.0%. The median MDMA base‐dose per tablet (116 mg) was higher than per capsule (68 mg). The dose range varied substantially for capsules (14–146 mg) and tablets (24–201 mg). A higher dose (130 mg or greater) was found in 3.5% of MDMA tablets or capsules. Adulterants were identified in 14.1% of MDMA substances but only 1.6% contained a psychoactive adulterant and none presented as dangerous due to their nature or low concentration. Discussion and Conclusions: Dangerous MDMA adulterants or new psychoactive substances in tablet, capsule, powder or crystal forms (whether misrepresented as MDMA or not) were unlikely to be in circulation during the study period. Harm reduction messaging should inform that a key risk‐factor for MDMA‐related harm is the high and wide variation of purity and dose across forms. Market changes may have occurred since COVID‐19, but continued monitoring will ensure messaging remains current. [ABSTRACT FROM AUTHOR]

Motivation: Left ventricular (LV) hypertrophy is a strong predictor of cardiovascular outcomes, but its genetic regulation remains largely unexplained. Conventional phenotyping relies on manual calculation of LV mass and wall thickness, but advanced cardiac image analysis presents an opportunity for high-throughput mapping of genotype-phenotype associations in three dimensions (3D). Results: High-resolution cardiac magnetic resonance images were automatically segmented in 1124 healthy volunteers to create a 3D shape model of the heart. Mass univariate regression was used to plot a 3D effect-size map for the association between wall thickness and a set of predictors at each vertex in the mesh. The vertices where a significant effect exists were determined by applying threshold-free cluster enhancement to boost areas of signal with spatial contiguity. Experiments on simulated phenotypic signals and SNP replication show that this approach offers a substantial gain in statistical power for cardiac genotype-phenotype associations while providing good control of the false discovery rate. This framework models the effects of genetic variation throughout the heart and can be automatically applied to large population cohorts. [ABSTRACT FROM AUTHOR]