Lower levels of damaged protein biomarkers in the plasma of overweight type 2 diabetic men following supplementation with a standardised bilberry extract

Peer reviewedPublisher PD

Leptin interacts with glucagon-like peptide-1 neurons to reduce food intake and body weight in rodents

AbstractThe adipose tissue hormone, leptin, and the neuropeptide glucagon-like peptide-1 (7–36) amide (GLP-1) both reduce food intake and body weight in rodents. Using dual in situ hybridization, long isoform leptin receptor (OB-Rb) was localized to GLP-1 neurons originating in the nucleus of the solitary tract. ICV injection of the specific GLP-1 receptor antagonist, exendin(9–39), at the onset of dark phase, did not affect feeding in saline pre-treated controls, but blocked the reduction in food intake and body weight of leptin pre-treated rats. These findings suggest that GLP-1 neurons are a potential target for leptin in its control of feeding

Using trained dogs and organic semi-conducting sensors to identify asymptomatic and mild SARS-CoV-2 infections: an observational study

BACKGROUND: A rapid, accurate, non-invasive diagnostic screen is needed to identify people with SARS-CoV-2 infection. We investigated whether organic semi-conducting (OSC) sensors and trained dogs could distinguish between people infected with asymptomatic or mild symptoms, and uninfected individuals, and the impact of screening at ports-of-entry. METHODS: Odour samples were collected from adults, and SARS-CoV-2 infection status confirmed using RT-PCR. OSC sensors captured the volatile organic compound (VOC) profile of odour samples. Trained dogs were tested in a double-blind trial to determine their ability to detect differences in VOCs between infected and uninfected individuals, with sensitivity and specificity as the primary outcome. Mathematical modelling was used to investigate the impact of bio-detection dogs for screening. RESULTS: About, 3921 adults were enrolled in the study and odour samples collected from 1097 SARS-CoV-2 infected and 2031 uninfected individuals. OSC sensors were able to distinguish between SARS-CoV-2 infected individuals and uninfected, with sensitivity from 98% (95% CI 95–100) to 100% and specificity from 99% (95% CI 97–100) to 100%. Six dogs were able to distinguish between samples with sensitivity ranging from 82% (95% CI 76–87) to 94% (95% CI 89–98) and specificity ranging from 76% (95% CI 70–82) to 92% (95% CI 88–96). Mathematical modelling suggests that dog screening plus a confirmatory PCR test could detect up to 89% of SARS-CoV-2 infections, averting up to 2.2 times as much transmission compared to isolation of symptomatic individuals only. CONCLUSIONS: People infected with SARS-CoV-2, with asymptomatic or mild symptoms, have a distinct odour that can be identified by sensors and trained dogs with a high degree of accuracy. Odour-based diagnostics using sensors and/or dogs may prove a rapid and effective tool for screening large numbers of people. Trial Registration NCT04509713 (clinicaltrials.gov)

'Ere be dragons: heartfelt gaming

A new pervasive digital game is discussed, relating technical and conceptual innovation. A combination of sensor technologies enables a responsive visual and auditory environment to be overlaid on the real world. This allows processes within the player's body to be mapped to the environment through which the player passes, externalising the internal. Rather than using technology to replicate the rigid goals and structures of many conventional games, this game explores the concept of 'open play', a form of personal exploration. The work is an interdisciplinary collaboration between digital artists and health scientists with an agenda to alter players'attitudes to the body and health as well as to break new ground artistically

'Ere be dragons: heart and health.

The paper describes an innovative pervasive game which uses both GPS and heart-rate monitoring in a mobile device. The objectives of the game’s development include a health science agenda concerned with the player’s wellbeing and physical activity, prompted by increasing concern over the health consequences of modern ways of living. Game design issues concerned with the use of heart-rate data are discussed, focusing on the meanings which can be extracted from the data and how these may be represented for effective gameplay