Search Results (4)

Chronic hepatitis B virus (CHB) infection remains a leading cause of hepatic inflammation and damage. Several studies have suggested the significant role of CX3C chemokine receptor 1 (CX3CR1) in inflammatory damages. The polymorphisms V249I and T280M affect receptor expression and function. In the current study, we investigated the association of V249I and T280M variants of the CX3CR1 fractalkine receptor with susceptibility to CHB disease. In total, 280 patients with chronic hepatitis B and 260 controls from different cities of Tunisia recruited in the Pasteur Institute of Tunisia between January 2017 and December 2022 were genotyped for the V249I and T280M CX3CR1 gene. The allele and genotype frequencies of these variants did not show significant associations with susceptibility to CHB infection (p > 0.05). Analysis of allele and genotype frequencies showed that there was no differences in age and sex distribution between patients and the control group, but when CHB patients were stratified according to age, a clear significant difference was obtained for the T280M polymorphism (p < 10⁻³, OR = 88.91; p < 10⁻³, OR = 37.42, for genotype and allelic distribution, respectively) with the MM genotype being more frequent in patients aged ≥ 50 years. The most frequently combined genotypes in the Tunisian population were VVTT, VITT and VITM both in patients (48.9%, 22.5% and 22.1%, respectively) and in controls (52%, 23.8%, 13.5%, respectively) compared to the extremely rare IITT, IITM or IIMM genotypes. In conclusion, this study suggests a noteworthy genotype–age association, particularly involving the T280M variant Full article

While many articles have analyzed the effectiveness of the policies that aimed to limit the spread of COVID-19, very little research work has examined the determinants that drove these policies. Therefore, we proposed to study the determinants that led government authorities to implement more or less restrictive policies to limit the spread of the pandemic. Using the COVID-19 stringency index, we highlighted a positive effect of the incidence rate on the stringency level. Patient capacity in intensive care units was also a key variable. This is indicative of the capacity of countries to have a sufficient and appropriate health system to absorb such pandemic crises. On the other hand, we show that epidemiological data regarding the risk of excess mortality (diabetes, cancer, and cardiovascular pathologies) had a negative effect. We conclude by recalling the importance of policy coordination between countries when it comes to lowering the stringency levels of measures, in order to avoid a resurgence of the epidemic. Full article

Networks used in biological applications at different scales (molecule, cell and population) are of different types: neuronal, genetic, and social, but they share the same dynamical concepts, in their continuous differential versions (e.g., non-linear Wilson-Cowan system) as well as in their discrete Boolean versions (e.g., non-linear Hopfield system); in both cases, the notion of interaction graph G(J) associated to its Jacobian matrix J, and also the concepts of frustrated nodes, positive or negative circuits of G(J), kinetic energy, entropy, attractors, structural stability, etc., are relevant and useful for studying the dynamics and the robustness of these systems. We will give some general results available for both continuous and discrete biological networks, and then study some specific applications of three new notions of entropy: (i) attractor entropy, (ii) isochronal entropy and (iii) entropy centrality; in three domains: a neural network involved in the memory evocation, a genetic network responsible of the iron control and a social network accounting for the obesity spread in high school environment. Full article

(1) Background: The aim of this paper is to show that e-health tools like smart homes allow the personalization of the surveillance and preventive education of chronic patients, such as obese persons, in order to maintain a comfortable and preventive lifestyle at home. (2) Technologies and methods: Several types of sensors allow coaching the patient at home, e.g., the sensors recording the activity and monitoring the physiology of the person. All of this information serves to personalize serious games dedicated to preventive education, for example in nutrition and vision. (3) Results: We built a system of personalized preventive education at home based on serious games, derived from the feedback information they provide through a monitoring system. Therefore, it is possible to define (after clustering and personalized calibration) from the at home surveillance of chronic patients different comfort zones where their behavior can be estimated as normal or abnormal and, then, to adapt both alarm levels for surveillance and education programs for prevention, the chosen example of application being obesity. Full article