287 research outputs found

    On the evolution of decoys in plant immune systems

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    The Guard-Guardee model for plant immunity describes how resistance proteins (guards) in host cells monitor host target proteins (guardees) that are manipulated by pathogen effector proteins. A recently suggested extension of this model includes decoys, which are duplicated copies of guardee proteins, and which have the sole function to attract the effector and, when modified by the effector, trigger the plant immune response. Here we present a proof-of-principle model for the functioning of decoys in plant immunity, quantitatively developing this experimentally-derived concept. Our model links the basic cellular chemistry to the outcomes of pathogen infection and resulting fitness costs for the host. In particular, the model allows identification of conditions under which it is optimal for decoys to act as triggers for the plant immune response, and of conditions under which it is optimal for decoys to act as sinks that bind the pathogen effectors but do not trigger an immune response.Comment: 15 pages, 6 figure

    Prevalence of daily family meals among children and adolescents from 43 countries

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    Prevalence studies about family meals, including large and representative samples of children and adolescents on this topic, are scarce. Therefore, the aim of this study was twofold: first, to determine the prevalence of daily family meals in large and representative samples of school‐going children and adolescents from 43 countries, and second, to identify the sex, age, socioeconomic status (SES), family structure, immigrant status and parental labour market status inequalities associated with this prevalence. Using data from the 2017/2018 wave of the Health Behaviour in School‐aged Children study, a total of 179,991 participants from 43 countries were involved in this cross‐sectional study. Family meals were assessed by the following question: ‘How often do you and your family usually have meals together?’. Participants had five different response options: ‘every day’, ‘most days’, ‘about once a week’, ‘less often’, and ‘never’. The meta package was utilized for conducting a meta‐analysis of single proportions, specifically applying the metaprop function. The analysis involved pooling the data using a random‐effects model and presenting the outcomes through a forest plot generated using the inverse variance method. Moreover, we applied generalized linear mixed models to explore the relationships between the studied sociodemographic factors as fixed effects, country as a random effect and the status of daily family meals as an outcome. Overall, the prevalence of daily family meals was 49.12% (95% confidence interval [CI]: 45.00–53.25). A greater probability of having daily family meals was identified for children aged 10–12 years (61.55%; 95% CI: 57.44%–65.49%), boys (61.55%, 95% CI: 57.44%–65.49%), participants with high SES (64.66%, 95% CI: 60.65%–68.48%), participants with both parents at home (65.05%, 95% CI: 61.16%–68.74%) and those with both unemployed parents (61.55%, 95% CI: 57.44%–65.49%). In the present study, which included large representative samples of school‐going children and adolescents from 43 countries, more than half of the participants did not have daily family meals

    Investigation of a Staphylococcus aureus sequence type 72 food poisoning outbreak associated with food-handler contamination in Italy

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    On August 2019 a staphylococcal food poisoning outbreak occurred in an elderly home in Piedmont, Italy. The epidemiological investigation performed among the per- sons that consumed the meal identified chicken salad as the most likely source of the outbreak. Staphylococcus aureus was isolated from a total of seven samples, namely one vomit sample from a guest of the nursing home, two food samples (chicken salad with and without mayonnaise) and nasal swabs collected from a total of four persons working in the kitchen of the nursing home. The maximum likelihood tree obtained using single nucleotide polymorphisms analysis revealed that the isolates from the aforementioned samples clustered together. Multilocus sequence typing revealed that they belonged to Sequence Type 72. Fourier transform infrared spectroscopy (FTIR) was used in parallel to single nucleotide polymorphisms and whole genome sequencing for the determination of the degree of relatedness of the isolates. The results of the FTIR showed the same clustering obtained with single nucleotide poly- morphisms and whole genome sequencing and revealed the source of infection. This study underlines the importance of both laboratory evidence and epidemiological data for outbreak investigation and further confirms that FTIR is a suitable support for the short-term epidemiological investigation on source attribution in case of a S. aureus infection

    A protocol for Italian validation of DEMQoL-Proxy Scale: assessing the Quality of Life of people with moderate or mild dementia

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    In this paper, we propose an adaptation of a protocol for a tool's validation. We have utilized this phases-theory to validate in Italian language an instrument to assess Quality of Life for people with moderate or mild dementia. We will explain the example of our Italian validation of DEMQoL-Proxy considering each De Vellis's phase. We will explain our application of De Vellis's model to Italian example described. For the first three phases, we reproduced the original validating study in which authors (Smith et al., 2005) defined what to measure, how generate a set of items and the structure of the scale. Indeed, for the last five phases we explained the adaptation of De Vellis's model to Italian validation. We hope that this model could be effective to validating goals, for researchers and in particular for all professionals who deal with caregivers and patients with moderate and mild dementia. Furthermore, the measurement of the Quality of Life makes the scale widely useful within the various professional specialties and setting. Finally, thanks to the methodological assumptions adopted following the De Vellis's eight-phase model, we can affirm that this first Italian pre-validation of the DEMQoL-Proxy seems to be an excellent forerunner for its effective validation in the Italian context

    Obesity and Cardiometabolic Risk Factors: From Childhood to Adulthood

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    Obesity has become a major epidemic in the 21st century. It increases the risk of dyslipidemia, hypertension, and type 2 diabetes, which are known cardiometabolic risk factors and components of the metabolic syndrome. Although overt cardiovascular (CV) diseases such as stroke or myocardial infarction are the domain of adulthood, it is evident that the CV continuum begins very early in life. Recognition of risk factors and early stages of CV damage, at a time when these processes are still reversible, and the development of prevention strategies are major pillars in reducing CV morbidity and mortality in the general population. In this review, we will discuss the role of well-known but also novel risk factors linking obesity and increased CV risk from prenatal age to adulthood, including the role of perinatal factors, diet, nutrigenomics, and nutri-epigenetics, hyperuricemia, dyslipidemia, hypertension, and cardiorespiratory fitness. The importance of 'tracking' of these risk factors on adult CV health is highlighted and the economic impact of childhood obesity as well as preventive strategies are discussed
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