Comparison of High Fiber and Low Carbohydrate Diets on Owner-Perceived Satiety of Cats During Weight Loss

Food-seeking behaviors exhibited by cats during weight loss programs are frustrating to owners. Two categories of therapeutic weight loss diets are available for cats: High Fiber (HF) and Low Carbohydrate (LC). The objective of this study was to determine if cat owners perceive a difference in satiety when their cats are fed either a HF or LC diet during a weight loss regimen. Twenty-eight client-owned cats were randomly assigned to either an HF or LC canned diet and fed to 80% of their ideal weight resting energy requirements. Cats were rechecked at 2, 4, 6 and 8 weeks and food intake adjusted to maintain weight loss between 0.5-1% per week. Seventeen cats completed the 8-week weight loss study (HF = 10, LC = 7). Owners completed behavior questionnaires at each visit and were blinded to food assignments. The two diet groups did not differ significantly by age, sex, body condition score, caloric intake, or rate of weight loss during the study. The two diets did not differ by owner response to questionnaire. In conclusion, owners perceived cats to be equally satiated during weight loss regimens on both the HF and LC diets

Communicating upcycled foods: frugality framing supports acceptance of sustainable product innovations

Future sustainable food systems should more efficiently use natural resources and reduce food waste. Upcycled food - foods elevated in value through ingredients otherwise wasted or previously thought inedible - constitutes a new approach contributing to this much needed transition. Successful market launches of such foods requires favourable consumer perception of these products, knowing the factors determining acceptance, and an adequate communicational framing of the new concept. However, consumer perception of upcycled food is yet under-researched, in particular across food categories and countries, and the concept of frugality has not been explored in this context. In a consumer survey assessing the factors of influence on attitude towards upcycled food and with a sample across five Northern and Southern European countries, we show that stressing the aspect of traditional frugality and to appeal to frugal orientation appears a favourable communication frame for upcycled food. Product categories that match with the region are perceived as more favourable. Environmental concern determines attitude while food neophobia acts as a barrier. Our results lead us to recommend that marketing for upcycled food should focus on the environmentally concerned consumer segment and use a framing that communicates the frugality benefit and frugal resource use. Findings further provide insights into the psychology of consumer acceptance and attitudes. These can be used in communicating the nature of upcycled foods to the public and to food consumers

Consumer understanding of upcycled foods – exploring consumer-created associations and concept explanations across five countries

To secure future protein demand in a sustainable food system, protein needs to come from a variety of alternative and novel sources, amongst others otherwise wasted side-streams. Such upcycled food is yet relatively unknown to consumers which makes it difficult for producers to decide on the best approach to communicating the product benefit to consumers. In a unique mixed-methods approach, we quantify qualitative data from a consumer survey of 2,405 respondents in five European countries to explore which type of associations emerge to the new concept and explore examples of how consumers with different associations would choose to explain it to a peer. We also test whether abstract or concrete presentation of the concept and different types of framing of the benefit (climate, frugal and taste) influences the associations and explore how this differs among socioeconomic consumer groups. Results show that consumers have mainly positive associations about the concept of upcycled food using words like innovation, recycling, avoid food waste, sustainability, while negative association include terms like sceptical, dislike, disgusting. Concrete (rather than abstract) presentation of upcycled foods leads consumers to provide fewer negative associations. Depending on the type of benefit framing, consumers have different associations towards upcycled foods: A climate framing of upcycled food leads to associations of innovation and environment and appears to steer associations away from ‘waste’. Moreover, socio-demographic characteristics affect consumers associations to upcycled foods; Overall, females and younger consumers are more positive. Findings provide insights into communication of upcycled food to different target groups

Prospective evaluation of NGS-based sequencing in epilepsy patients: results of seven NASGE-associated diagnostic laboratories

BackgroundEpilepsy is one of the most common and disabling neurological disorders. It is highly prevalent in children with neurodevelopmental delay and syndromic diseases. However, epilepsy can also be the only disease-determining symptom. The exact molecular diagnosis is essential to determine prognosis, comorbidity, and probability of recurrence, and to inform therapeutic decisions.Methods and materialsHere, we describe a prospective cohort study of patients with epilepsy evaluated in seven diagnostic outpatient centers in Germany. Over a period of 2 months, 07/2022 through 08/2022, 304 patients (317 returned result) with seizure-related human phenotype ontology (HPO) were analyzed. Evaluated data included molecular results, phenotype (syndromic and non-syndromic), and sequencing methods.ResultsSingle exome sequencing (SE) was applied in half of all patients, followed by panel (P) testing (36%) and trio exome sequencing (TE) (14%). Overall, a pathogenic variant (PV) (ACMG cl. 4/5) was identified in 22%; furthermore, a significant number of patients (12%) carried a reported clinically meaningful variant of unknown significance (VUS). The average diagnostic yield in patients ≤ 12 y was higher compared to patients >12 y cf. Figure 2B vs. Figure 3B. This effect was more pronounced in cases, where TE was applied in patients ≤ 12 vs. >12 y [PV (PV + VUS): patients ≤ 12 y: 35% (47%), patients > 12 y: 20% (40%)]. The highest diagnostic yield was achieved by TE in syndromic patients within the age group ≤ 12 y (ACMG classes 4/5 40%). In addition, TE vs. SE had a tendency to result in less VUS in patients ≤ 12 y [SE: 19% (22/117) VUS; TE: 17% (6/36) VUS] but not in patients >12 y [SE: 19% (8/42) VUS; TE: 20% (2/10) VUS]. Finally, diagnostic findings in patients with syndromic vs. non-syndromic symptoms revealed a significant overlap of frequent causes of monogenic epilepsies, including SCN1A, CACNA1A, and SETD1B, confirming the heterogeneity of the associated conditions.ConclusionIn patients with seizures—regardless of the detailed phenotype—a monogenic cause can be frequently identified, often implying a possible change in therapeutic action (36.7% (37/109) of PV/VUS variants); this justifies early and broad application of genetic testing. Our data suggest that the diagnostic yield is highest in exome or trio-exome-based testing, resulting in a molecular diagnosis within 3 weeks, with profound implications for therapeutic strategies and for counseling families and patients regarding prognosis and recurrence risk

The JWST Galactic Center Survey -- A White Paper

The inner hundred parsecs of the Milky Way hosts the nearest supermassive black hole, largest reservoir of dense gas, greatest stellar density, hundreds of massive main and post main sequence stars, and the highest volume density of supernovae in the Galaxy. As the nearest environment in which it is possible to simultaneously observe many of the extreme processes shaping the Universe, it is one of the most well-studied regions in astrophysics. Due to its proximity, we can study the center of our Galaxy on scales down to a few hundred AU, a hundred times better than in similar Local Group galaxies and thousands of times better than in the nearest active galaxies. The Galactic Center (GC) is therefore of outstanding astrophysical interest. However, in spite of intense observational work over the past decades, there are still fundamental things unknown about the GC. JWST has the unique capability to provide us with the necessary, game-changing data. In this White Paper, we advocate for a JWST NIRCam survey that aims at solving central questions, that we have identified as a community: i) the 3D structure and kinematics of gas and stars; ii) ancient star formation and its relation with the overall history of the Milky Way, as well as recent star formation and its implications for the overall energetics of our galaxy's nucleus; and iii) the (non-)universality of star formation and the stellar initial mass function. We advocate for a large-area, multi-epoch, multi-wavelength NIRCam survey of the inner 100\,pc of the Galaxy in the form of a Treasury GO JWST Large Program that is open to the community. We describe how this survey will derive the physical and kinematic properties of ~10,000,000 stars, how this will solve the key unknowns and provide a valuable resource for the community with long-lasting legacy value.Comment: This White Paper will be updated when required (e.g. new authors joining, editing of content). Most recent update: 24 Oct 202

Large scale multifactorial likelihood quantitative analysis of BRCA1 and BRCA2 variants: An ENIGMA resource to support clinical variant classification

The multifactorial likelihood analysis method has demonstrated utility for quantitative assessment of variant pathogenicity for multiple cancer syndrome genes. Independent data types currently incorporated in the model for assessing BRCA1 and BRCA2 variants include clinically calibrated prior probability of pathogenicity based on variant location and bioinformatic prediction of variant effect, co-segregation, family cancer history profile, co-occurrence with a pathogenic variant in the same gene, breast tumor pathology, and case-control information. Research and clinical data for multifactorial likelihood analysis were collated for 1,395 BRCA1/2 predominantly intronic and missense variants, enabling classification based on posterior probability of pathogenicity for 734 variants: 447 variants were classified as (likely) benign, and 94 as (likely) pathogenic; and 248 classifications were new or considerably altered relative to ClinVar submissions. Classifications were compared with information not yet included in the likelihood model, and evidence strengths aligned to those recommended for ACMG/AMP classification codes. Altered mRNA splicing or function relative to known nonpathogenic variant controls were moderately to strongly predictive of variant pathogenicity. Variant absence in population datasets provided supporting evidence for variant pathogenicity. These findings have direct relevance for BRCA1 and BRCA2 variant evaluation, and justify the need for gene-specific calibration of evidence types used for variant classification

Large scale multifactorial likelihood quantitative analysis of BRCA1 and BRCA2 variants: An ENIGMA resource to support clinical variant classification

Abstract The multifactorial likelihood analysis method has demonstrated utility for quantitative assessment of variant pathogenicity for multiple cancer syndrome genes. Independent data types currently incorporated in the model for assessing BRCA1 and BRCA2 variants include clinically calibrated prior probability of pathogenicity based on variant location and bioinformatic prediction of variant effect, co-segregation, family cancer history profile, co-occurrence with a pathogenic variant in the same gene, breast tumor pathology, and case-control information. Research and clinical data for multifactorial likelihood analysis were collated for 1395 BRCA1/2 predominantly intronic and missense variants, enabling classification based on posterior probability of pathogenicity for 734 variants: 447 variants were classified as (likely) benign, and 94 as (likely) pathogenic; 248 classifications were new or considerably altered relative to ClinVar submissions. Classifications were compared to information not yet included in the likelihood model, and evidence strengths aligned to those recommended for ACMG/AMP classification codes. Altered mRNA splicing or function relative to known non-pathogenic variant controls were moderately to strongly predictive of variant pathogenicity. Variant absence in population datasets provided supporting evidence for variant pathogenicity. These findings have direct relevance for BRCA1 and BRCA2 variant evaluation, and justify the need for gene-specific calibration of evidence types used for variant classification. This article is protected by copyright. All rights reserved.Peer reviewe