Feel4Diabetes healthy diet score: Development and evaluation of clinical validity

Background: The aim of this paper is to present the development of the Feel4Diabetes Healthy Diet Score and to evaluate its clinical validity. Methods: Study population consisted of 3268 adults (63% women) from high diabetes risk families living in 6 European countries. Participants filled in questionnaires at baseline and after 1 year, reflecting the dietary goals of the Feel4Diabetes intervention. Based on these questions the Healthy Diet Score was constructed, consisting of the following components: breakfast, vegetables, fruit and berries, sugary drinks, whole-grain cereals, nuts and seeds, low-fat dairy products, oils and fats, red meat, sweet snacks, salty snacks, and family meals. Maximum score for each component was set based on its estimated relative importance regarding T2DM risk, higher score indicating better quality of diet. Clinical measurements included height, weight, waist circumference, heart rate, blood pressure, and fasting blood sampling, with analyses of glucose, total cholesterol, HDL-cholesterol, LDL-cholesterol, and triglycerides. Analysis of (co) variance was used to compare the Healthy Diet Score and its components between countries and sexes using baseline data, and to test differences in clinical characteristics between score categories, adjusted for age, sex and country. Pearson''s correlations were used to study the association between changes from baseline to year 1 in the Healthy Diet Score and clinical markers. To estimate reproducibility, Pearson''s correlations were studied between baseline and 1 year score, within the control group only. Results: The mean total score was 52.8 ± 12.8 among women and 46.6 ± 12.8 among men (p < 0.001). The total score and its components differed between countries. The change in the Healthy Diet Score was significantly correlated with changes in BMI, waist circumference, and total and LDL cholesterol. The Healthy Diet Score as well as its components at baseline were significantly correlated with the values at year 1, in the control group participants. Conclusion: The Feel4Diabetes Healthy Diet Score is a reproducible method to capture the dietary information collected with the Feel4Diabetes questionnaire and measure the level of and changes in the adherence to the dietary goals of the intervention. It gives a simple parameter that associates with clinical risk factors in a meaningful manner

Characterization of meningococcal serogroup B outer membrane vesicle vaccines from strain 44/76 after growth in different media.

In this study, we evaluated the effect of the growth medium on the composition and immunogenicity of meningococcal outer membrane vesicle (OMV) vaccines after cultivation of the Norwegian serogroup B 44/76 vaccine strain in either Frantz' or modified Catlin-6 media (MC.6M). Differential proteomic analysis revealed that 97% of the OMV proteins maintained the same levels in the two preparations. However, a number of differentially expressed proteins, including TdfH, OpcA, OMP NMB0088, hypothetical NMB2134, lipoprotein NMB1126/1164 and NspA, increased significantly in OMVs produced from bacteria grown in the MC.6M. Together with increased lipopolysaccharide levels, the increased expression of these proteins was associated with significantly higher serum bactericidal titres in mice immunized with the MC.6M OMV vaccine. The high resolution two-dimensional separation of the OMVs on a large-format gel across a pH range of 3-11 resolved around 2000 protein spots from which 75 proteins were identified by mass spectrometry

Accurate SARS-CoV-2 seroprevalence surveys require robust multi-antigen assays

There is a plethora of severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) serological tests based either on nucleocapsid phosphoprotein (N), S1-subunit of spike glycoprotein (S1) or receptor binding domain (RBD). Although these single-antigen based tests demonstrate high clinical performance, there is growing evidence regarding their limitations in epidemiological serosurveys. To address this, we developed a Luminex-based multiplex immunoassay that detects total antibodies (IgG/IgM/IgA) against the N, S1 and RBD antigens and used it to compare antibody responses in 1225 blood donors across Greece. Seroprevalence based on single-antigen readouts was strongly influenced by both the antigen type and cut-off value and ranged widely [0.8% (95% CI 0.4–1.5%)–7.5% (95% CI 6.0–8.9%)]. A multi-antigen approach requiring partial agreement between RBD and N or S1 readouts (RBD&amp;N|S1 rule) was less affected by cut-off selection, resulting in robust seroprevalence estimation [0.6% (95% CI 0.3–1.1%)–1.2% (95% CI 0.7–2.0%)] and accurate identification of seroconverted individuals. © 2021, The Author(s)

Step Count Associations between Adults at Risk of Developing Diabetes and Their Children: The Feel4Diabetes Study

Background: Shared risk factors of type 2 diabetes mellitus (T2DM) between parents at risk and their children, such as low physical activity levels, should be addressed to prevent the development of the disease. The aim of this study was to determine the association of objectively measured step counts per day between parents at risk of developing T2DM and their 6- to 10-year-old children. Methods: The baseline data from the Feel4Diabetes study were analyzed. Dyads of children and one parent (n = 250, 54.4% girls and 77.6% mothers) from Belgium were included. Step counts per day during 5 consecutive days from parents and their children were objectively measured with ActiGraph accelerometers. Results: Adjusted linear regression models indicated that parents’ and children’s step counts were significantly associated during all days (ß = 0.245), weekdays (ß = 0.205), and weekend days (ß = 0.316) (P = .002 in all cases). Specifically, mother–daughter associations during all days and weekend days and father–son step counts during weekdays and when considering all days were significant. Conclusion: There is a positive association between step counts from adults at risk of developing T2DM and their children, especially in the mother–daughter and father–son dyads. © 2021 Human Kinetics, Inc

Step Count Associations between Adults at Risk of Developing Diabetes and Their Children: The Feel4Diabetes Study

Background: Shared risk factors of type 2 diabetes mellitus (T2DM) between parents at risk and their children, such as low physical activity levels, should be addressed to prevent the development of the disease. The aim of this study was to determine the association of objectively measured step counts per day between parents at risk of developing T2DM and their 6- to 10-year-old children. Methods: The baseline data from the Feel4Diabetes study were analyzed. Dyads of children and one parent (n = 250, 54.4% girls and 77.6% mothers) from Belgium were included. Step counts per day during 5 consecutive days from parents and their children were objectively measured with ActiGraph accelerometers. Results: Adjusted linear regression models indicated that parents’ and children’s step counts were significantly associated during all days (β = 0.245), weekdays (β = 0.205), and weekend days (β = 0.316) (P ≤ .002 in all cases). Specifically, mother–daughter associations during all days and weekend days and father–son step counts during weekdays and when considering all days were significant. Conclusion: There is a positive association between step counts from adults at risk of developing T2DM and their children, especially in the mother–daughter and father–son dyads. © 2021 Human Kinetics, Inc