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Giant coronary artery aneurysms and myocardial fibrosis after Kawasaki disease may lead to devastating cardiovascular outcomes. We characterised the vascular and myocardial outcomes in five selected Kawasaki disease patients with a history of giant coronary artery aneurysms that completely regressed.
Methods:
Five patients were selected who had giant coronary artery aneurysm in early childhood that regressed when studied 12–33 years after Kawasaki disease onset. Coronary arteries were imaged by coronary CT angiography, and coronary artery calcium volume scores were determined. We used endocardial strain measurements from CT imaging to assess myocardial regional wall function. Calprotectin and galectin-3 (gal-3) as biomarkers of inflammation and myocardial fibrosis were measured by enzyme-linked immunosorbent assay.
Results:
The five selected patients with regressed giant coronary artery aneurysms had calcium scores of zero, normal levels of calprotectin and gal-3, and normal appearance of the coronary arteries by coronary computed tomography angiography. CT strain demonstrated normal peak systolic and diastolic strain patterns in four of five patients. In one patient with a myocardial infarction at the time of Kawasaki disease diagnosis at the age of 10 months, CT strain showed altered global longitudinal strain, reduced segmental peak strain, and reduced diastolic relaxation patterns in multiple left ventricle segments.
Conclusions:
These patients illustrate that regression of giant aneurysms after Kawasaki disease is possible with no detectable calcium, normal biomarkers of inflammation and fibrosis, and normal myocardial function. Individuals with regressed giant coronary artery aneurysm still require longitudinal surveillance to assess the durability of this favourable outcome.
People with type 2 diabetes (T2D) are more likely to experience binge eating than the general population, which may interfere with their diabetes management. Guided self-help (GSH) is one of the recommended treatment options for binge eating disorder, but there is currently a lack of evidenced treatment for binge eating in individuals living with T2D. The aims of this pilot study were to test the feasibility and acceptability of recruiting and delivering the adapted, online Working to Overcome Eating Difficulties GSH intervention to adults with T2D and binge eating. The intervention comprises GSH materials presented online in seven sections delivered over 12 weeks, supported by a trained Guide. Twenty-two participants were recruited in a case series design to receive the intervention and we interviewed four Guides and five participants afterwards. We measured binge eating, mental wellbeing, quality of life and weight at pre-post and 12-week follow-up. Results showed a significant reduction in binge eating at the end of the intervention, which continued to improve at follow-up. Before the programme, 92 % of participants scored above cut-off for binge eating. This reduced to 41 % post-intervention and no-one at follow-up. These changes were accompanied by significant improvements in depression, anxiety and small changes in eating disorder symptoms. Participants reported making better lifestyle choices, eating more mindfully and having increased self-confidence. The study shows preliminary evidence for online GSH tailored to the needs of individuals with T2D as a feasible and acceptable approach to improving binge eating, diabetes management and mental wellbeing.
Diffuse optical spectroscopy (DOS) techniques characterize scattering media by examining their optical response to laser illumination. Time-domain DOS methods involve illuminating the medium with a laser pulse and using a fast photodetector to measure the time-dependent intensity of light that exits the medium after multiple scattering events. While DOS research traditionally focused on characterizing biological tissues, we demonstrate that time-domain diffuse optical measurements can also be used to characterize snow. We introduce a model that predicts the time-dependent reflectance of a dry snowpack as a function of its density, grain size, and black carbon content. We develop an algorithm that retrieves these properties from measurements at two wavelengths. To validate our approach, we assembled a two-wavelength lidar system to measure the time-dependent reflectance of snow samples with varying properties. Rather than measuring direct surface returns, our system captures photons that enter and exit the snow at different points, separated by a small distance (4–10 cm). We observe clear, linear correlations between our retrievals of density and black carbon concentration, and ground truth. For black carbon concentration the correlation is nearly one-to-one. We also find that our method is capable of distinguishing between small and large grain sizes.
The gut microbiome is impacted by certain types of dietary fibre. However, the type, duration and dose needed to elicit gut microbial changes and whether these changes also influence microbial metabolites remain unclear. This study investigated the effects of supplementing healthy participants with two types of non-digestible carbohydrates (resistant starch (RS) and polydextrose (PD)) on the stool microbiota and microbial metabolite concentrations in plasma, stool and urine, as secondary outcomes in the Dietary Intervention Stem Cells and Colorectal Cancer (DISC) Study. The DISC study was a double-blind, randomised controlled trial that supplemented healthy participants with RS and/or PD or placebo for 50 d in a 2 × 2 factorial design. DNA was extracted from stool samples collected pre- and post-intervention, and V4 16S rRNA gene sequencing was used to profile the gut microbiota. Metabolite concentrations were measured in stool, plasma and urine by high-performance liquid chromatography. A total of fifty-eight participants with paired samples available were included. After 50 d, no effects of RS or PD were detected on composition of the gut microbiota diversity (alpha- and beta-diversity), on genus relative abundance or on metabolite concentrations. However, Drichlet’s multinomial mixture clustering-based approach suggests that some participants changed microbial enterotype post-intervention. The gut microbiota and fecal, plasma and urinary microbial metabolites were stable in response to a 50-d fibre intervention in middle-aged adults. Larger and longer studies, including those which explore the effects of specific fibre sub-types, may be required to determine the relationships between fibre intake, the gut microbiome and host health.
Diagnostic criteria for major depressive disorder allow for heterogeneous symptom profiles but genetic analysis of major depressive symptoms has the potential to identify clinical and etiological subtypes. There are several challenges to integrating symptom data from genetically informative cohorts, such as sample size differences between clinical and community cohorts and various patterns of missing data.
Methods
We conducted genome-wide association studies of major depressive symptoms in three cohorts that were enriched for participants with a diagnosis of depression (Psychiatric Genomics Consortium, Australian Genetics of Depression Study, Generation Scotland) and three community cohorts who were not recruited on the basis of diagnosis (Avon Longitudinal Study of Parents and Children, Estonian Biobank, and UK Biobank). We fit a series of confirmatory factor models with factors that accounted for how symptom data was sampled and then compared alternative models with different symptom factors.
Results
The best fitting model had a distinct factor for Appetite/Weight symptoms and an additional measurement factor that accounted for the skip-structure in community cohorts (use of Depression and Anhedonia as gating symptoms).
Conclusion
The results show the importance of assessing the directionality of symptoms (such as hypersomnia versus insomnia) and of accounting for study and measurement design when meta-analyzing genetic association data.
Mental Imagery is a focus for design cognition research, with most research focusing on visual mental imagery, it has been highlighted that mental imagery encompasses more aspects than visual, including emotion known as multimodal mental imagery. So as researchers and educators we need to understand the cognitive process and how to best stimulate it. This paper looks at design students use of visual and emotional mental imagery and its impact on their ability to produce creative outcomes during the ideation stage of the design process.
The brain can be represented as a network, with nodes as brain regions and edges as region-to-region connections. Nodes with the most connections (hubs) are central to efficient brain function. Current findings on structural differences in Major Depressive Disorder (MDD) identified using network approaches remain inconsistent, potentially due to small sample sizes. It is still uncertain at what level of the connectome hierarchy differences may exist, and whether they are concentrated in hubs, disrupting fundamental brain connectivity.
Methods
We utilized two large cohorts, UK Biobank (UKB, N = 5104) and Generation Scotland (GS, N = 725), to investigate MDD case–control differences in brain network properties. Network analysis was done across four hierarchical levels: (1) global, (2) tier (nodes grouped into four tiers based on degree) and rich club (between-hub connections), (3) nodal, and (4) connection.
Results
In UKB, reductions in network efficiency were observed in MDD cases globally (d = −0.076, pFDR = 0.033), across all tiers (d = −0.069 to −0.079, pFDR = 0.020), and in hubs (d = −0.080 to −0.113, pFDR = 0.013–0.035). No differences in rich club organization and region-to-region connections were identified. The effect sizes and direction for these associations were generally consistent in GS, albeit not significant in our lower-N replication sample.
Conclusion
Our results suggest that the brain's fundamental rich club structure is similar in MDD cases and controls, but subtle topological differences exist across the brain. Consistent with recent large-scale neuroimaging findings, our findings offer a connectomic perspective on a similar scale and support the idea that minimal differences exist between MDD cases and controls.
Kaolinite:NaCl intercalates with basal layer dimensions of 0.95 and 1.25 nm have been prepared by direct reaction of saturated aqueous NaCl solution with well-crystallized source clay KGa-1. The intercalates and their thermal decomposition products have been studied by XRD, solid-state 23Na, 27Al, and 29Si MAS NMR, and FTIR. Intercalate yield is enhanced by dry grinding of kaolinite with NaCl prior to intercalation. The layered structure survives dehydroxylation of the kaolinite at 500°–600°C and persists to above 800°C with a resultant tetrahedral aluminosilicate framework. Excess NaCl can be readily removed by rinsing with water, producing an XRD “amorphous” material. Upon heating at 900°C this material converts to a well-crystallized framework aluminosilicate closely related to low-carnegieite, NaAlSiO4, some 350°C below its stability field. Reaction mechanisms are discussed and structural models proposed for each of these novel materials.
The potential relationships between traumatic experiences and the onset and course of major mood disorders have always been controversial. Some experiences, most notably physical or sexual abuse, as well as substantive bullying in childhood, are clearly recognised as major risk factors for a range of mental disorders, as well as a range of linked phenomena including self-harm and suicidal behaviours (McKay et al., 2021; Zatti et al., 2017). There is considerable interest and ongoing research into how these adverse experiences come to be ‘encoded’ via neurobiological or genetic mechanisms that then transmit those effects into later-onset major mental disorders, substance misuse or other self-harming behaviours (Maddox et al., 2019).
One of the long-standing challenges in the field of depressive and other mood disorders is to have a clear conceptualisation of the relationships between childhood temperaments, personality development and adult self and interpersonal function, and depressive and other mood disorders. Some biologically-based dispositional (or temperamental) traits are present from birth and are relatively stable from infancy through to adulthood. These characteristics (e.g., anxious attachment or social inhibition) are commonly seen as ‘at-risk’ traits for later formal diagnoses of anxiety disorders in pre-pubertal children and anxiety and depression in teenagers (Compas et al., 2004; Rothbart, 2007).
The lattice parameters and the crystal and magnetic structures of Fe2SiO4 have been determined from 10 K to 1453 K by high-resolution time-of-flight neutron powder diffraction. Fe2SiO4 undergoes two antiferromagnetic phase transformations on cooling from room temperature: the first, at 65.4 K, is to a collinear antiferromagnet with moments on two symmetry-independent Fe ions; the second transition, at ~23 K, is to a structure in which the moments on one of the sets of Fe ions (those on the ‘M1 site’) become canted. The magnetic unit cell is identical to the crystallographic (chemical) unit cell and the space group remains Pbnm throughout. The magnetic structures have been refined and the results found to be in good agreement with previous studies; however, we have determined the spontaneous magnetostrictive strains, which have not been reported previously. In the paramagnetic phase of Fe2SiO4, at temperatures of 70 K and above, we find that the temperature dependence of the linear thermal expansion coefficient of the b axis takes an unusual form. In contrast to the behaviour of the expansion coefficients of the unit-cell volume and of the a and c axes, which show the expected reduction in magnitude below ~300 K, that of the b axis remains almost constant between ~70 K and 1000 K.
The aim of this study was to observe the level of alcohol-based sanitizer, mask use, and physical distancing across indoor community settings in Guelph, ON, Canada, and to identify potential barriers to practicing these behaviors.
Methods:
Shoppers were observed in June 2022 across 21 establishments. Discrete in-person observations were conducted and electronically recorded using smartphones. Multilevel logistic regression models were fitted to identify possible covariates for the 3 behavioral outcomes.
Results:
Of 946 observed shoppers, 69% shopped alone, 72% had at least 1 hand occupied, 26% touched their face, 29% physically distanced ≥ 2 m, 6% used hand sanitizer, and 29% wore masks. Sanitizer use was more commonly observed among people who wore masks and in establishments with coronavirus disease (COVID-19) signage posted at the entrance. Mask use was more commonly observed during days without precipitation and in establishments with some or all touch-free entrances. Shoppers more commonly physically distanced ≥ 2 m when they were shopping alone.
Conclusions:
This supports evidence for environmental context influencing COVID-19 preventive behaviors. Intervention efforts aimed at visible signage, tailored messaging, and redesigning spaces to facilitate preventive behaviors may be effective at increasing adherence during outbreaks.
The Virtual Interprofessional Education program is a multi-institutional consortium collaborative formed between five universities across the United States. As of January 2022, the collaborative includes over 60 universities in 30 countries. The consortium brings healthcare students together for a short-term immersive team experience that mimics the healthcare setting. The VIPE program has hosted over 5,000 students in healthcare training programs. The VIPE program expanded to a VIPE Security model to host students across multiple disciplines outside the field of healthcare to create a transdisciplinary approach to managing complex wicked problems.
Method:
Students receive asynchronous materials ahead of a synchronous virtual experience. VIPE uses the Interprofessional Education Competencies (IPEC) competencies (IPEC, 2016) and aligns with The Health Professions Accreditors Collaborative (HPAC) 2019 guidelines. VIPE uses an active teaching strategy, problem or case-based learning (PBL/CBL), which emphasizes creating an environment of psychological safety and its antecedents (Frazier et al., 2017 and Salas, 2019, Wiss, 2020). Following this model, VIPE Security explores whether the VIPE model can be tailored to work across multiple sectors to discuss management of complex wicked problems to include: climate change, disaster, cyber attacks, terrorism, pandemics, conflict, forced migration, food/water insecurity, human/narco trafficking etc. VIPE Security has hosted two events to include professionals in the health and security sectors to work through complex wicked problems to further understand their roles, ethical and responsible information sharing, and policy implications.
Results:
VIPE demonstrates statistically significant gains in knowledge towards interprofessional collaborative practice as a result of participation. VIPE Security results are currently being analyzed.
Conclusion:
This transdisciplinary approach to IPE allows for an all-hands-on-deck approach to security, fostering early education and communication of students across multiple sectors. The VIPE Security model has future implications to be utilized within multidisciplinary organizations for practitioners, governmental agencies, and the military.
This collection makes a new, profound and far-reaching intervention into the rich yet little-explored terrain between Latin scholastic theory and vernacular literature. Written by a multidisciplinary team of leading international authors, the chapters honour and advance Alastair Minnis's field-defining scholarship. A wealth of expert essays refract the nuances of theory through the medium of authoritative Latin and vernacular medieval texts, providing fresh interpretative treatment to known canonical works while also bringing unknown materials to light.