Household food insecurity before and during COVID-19 pandemic and its association with perceived stress: population-based studies.

The growing prevalence of food insecurity observed in the last years, has been favored by the COVID-19 pandemic, leading to mental health issues, such as stress. We aim to analyze the prevalence of household food insecurity before and during the COVID-19 pandemic and its association with perceived stress. We analyzed data from two population-based studies conducted in 2019 and 2020-2021 in the municipality of Criciúma, State of Santa Catarina, Southern Brazil. Food insecurity and perceived stress were assessed with the Brazilian Food Insecurity Scale and the Perceived Stress Scale. The covariables were sex, age, skin color, schooling level, income, job status, marital status, household crowding, overweight, and diet quality. Crude and adjusted associations between food insecurity and perceived stress were assessed using Poisson regression. A total of 1,683 adult individuals were assessed. Prevalence of food insecurity was 25.8% in 2019, decreasing to 21.6% in 2020. Prevalence of perceived stress was about 38% for both years. Before the pandemic, food insecurity increased the prevalence of perceived stress by 29% (PR = 1.29; 95%CI: 1.02; 1.63), but no association was found during COVID-19. We found a worrying prevalence of food insecurity before and after de pandemic, nonetheless food insecurity and perceived stress were associated only in 2019. An assessment of these aspects after COVID-19 is needed to ensure basic life rights for all.

VHH Structural Modelling Approaches: A Critical Review.

VHH, i.e., VH domains of camelid single-chain antibodies, are very promising therapeutic agents due to their significant physicochemical advantages compared to classical mammalian antibodies. The number of experimentally solved VHH structures has significantly improved recently, which is of great help, because it offers the ability to directly work on 3D structures to humanise or improve them. Unfortunately, most VHHs do not have 3D structures. Thus, it is essential to find alternative ways to get structural information. The methods of structure prediction from the primary amino acid sequence appear essential to bypass this limitation. This review presents the most extensive overview of structure prediction methods applied for the 3D modelling of a given VHH sequence (a total of 21). Besides the historical overview, it aims at showing how model software programs have been shaping the structural predictions of VHHs. A brief explanation of each methodology is supplied, and pertinent examples of their usage are provided. Finally, we present a structure prediction case study of a recently solved VHH structure. According to some recent studies and the present analysis, AlphaFold 2 and NanoNet appear to be the best tools to predict a structural model of VHH from its sequence.