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

Identification of novel small molecules that inhibit STAT3-dependent transcription and function

Activation of Signal Transducer and Activator of Transcription 3 (STAT3) has been linked to several processes that are critical for oncogenic transformation, cancer progression, cancer cell proliferation, survival, drug resistance and metastasis. Inhibition of STAT3 signaling has shown a striking ability to inhibit cancer cell growth and therefore, STAT3 has become a promising target for anti-cancer drug development. The aim of this study was to identify novel inhibitors of STAT-dependent gene transcription. A cellular reporter-based system for monitoring STAT3 transcriptional activity was developed which was suitable for high-throughput screening (Z’ = 0,8). This system was used to screen a library of 28,000 compounds (the ENAMINE Drug-Like Diversity Set). Following counter-screenings and toxicity studies, we identified four hit compounds that were subjected to detailed biological characterization. Of the four hits, KI16 stood out as the most promising compound, inhibiting STAT3 phosphorylation and transcriptional activity in response to IL6 stimulation. In silico docking studies showed that KI16 had favorable interactions with the STAT3 SH2 domain, however, no inhibitory activity could be observed in the STAT3 fluorescence polarization assay. KI16 inhibited cell viability preferentially in STAT3-dependent cell lines. Taken together, using a targeted, cell-based approach, novel inhibitors of STAT-driven transcriptional activity were discovered which are interesting leads to pursue further for the development of anti-cancer therapeutic agents

Association of breakfast consumption frequency with fasting glucose and insulin sensitivity/b cells function (HOMA-IR) in adults from high-risk families for type 2 diabetes in Europe: the Feel4Diabetes Study

Purpose: This study aimed to investigate the association of breakfast consumption frequency (BCF) with glycemic control indices in a cross-sectional sample of adults from families at high risk for type 2 diabetes mellitus (T2DM), exploring the role of sex and socioeconomic status (SES). Methods: In 2370 adults (40.8 ± 5.6 years) from 6 European countries, sociodemographic, lifestyle, anthropometric and biochemical characteristics were assessed through standardized procedures. Multivariable regression models were used to examine the association between fasting glucose (FG), fasting insulin (FI), and insulin resistance (HOMA-IR) (dependent variables) with BCF (independent variable) controlling for multiple possible confounders. Results: A linear association of BCF with FG (β = −0.557, 95% CI (−0.834, −0.280)) and a quadratic association with FI and HOMA-IR with the highest point of curve observed at BCF = 2.989 (times/week) and at BCF = 2.746, respectively, independent of the used covariates. In males and in participants of high SES, BCF was linearly and inversely associated with FG, while with FI and HOMA-IR there was an association with BCF in quadratic function. In females, BCF was linearly and inversely associated with FG and HOMA-IR, and there was a quadratic association with FI. In low SES there was only a linear association with FG, yet with no statistically significant findings for FI and HOMA-IR. Conclusions: Regular breakfast consumption, especially &gt;3 times/week is associated with improved indices of glycemic control. This association was diminished in low SES participants in the presence of the used covariates. © 2022, The Author(s), under exclusive licence to Springer Nature Limited

Association between daily number of eating occasions with fasting glucose and insulin sensitivity in adults from families at high risk for type 2 diabetes in Europe: the Feel4Diabetes Study

Objective: The aim of this study was to examine the association between the number of times one eats daily (termed eating occasions [EO]) with indices of glycemic control and insulin resistance (IR) in a large sample of adults from families at high risk for type 2 diabetes mellitus (T2DM) from six European countries. The study also considered sex and socioeconomic status (SES). Methods: Standardized questionnaires and procedures were used to assess sociodemographic characteristics, dietary intake, sedentary behavior, and anthropometric and biochemical indices. Univariate analysis of variance was used to investigate associations of daily EOs with fasting glucose (FG), fasting insulin (FI), and IR. Results: In 1552 adults (41.6 ± 7.2 y), three to four daily EOs rather than less than three were inversely associated with FG (β = –2.598; 95% confidence interval [CI], –4.521 to –0.675), independent of age, body mass index (BMI), dietary quality, and sedentary time. In women, three to four EOs per day were also associated with FG (β = –3.071; 95% CI to –5.573 to –0.570) independently of the mentioned confounders. In high SES participants, having more than four EOs per day had an inverse association with FI (β = –1.348; 95% CI to –2.583 to –0.114). No such associations were observed in men or in low SES participants. Conclusion: In adults at high risk for T2DM, and especially in women, having three to four daily EOs was inversely associated with FG, whereas in high SES participants, more than four EOs was associated with FI. Future studies should further elucidate the underlying mechanisms and offer insight into the optimum number of daily EOs for the prevention of T2DM especially in men and in adults with low SES where the number of daily EOs was not found to be significantly related to glycemic indices. © 2021 Elsevier Inc

Socio-demographic characteristics and body weight perceptions of study participants benefitting most from the feel4diabetes program based on their anthropometric and glycaemic profile changes

The Feel4Diabetes program was comprised of a community-based screening and a two-year intervention phase aiming to prevent type 2 diabetes (T2D) in families at risk for diabetes across Europe. The current work aimed to identify the socio-demographic characteristics and body weight perceptions of participants who benefitted the most, achieving at least a 5% reduction in body weight, waist circumference and glycaemic indices (fasting plasma glucose, insulin, glycosylated haemoglobin levels), over two-year period. Following a two-stage screening procedure, 2294 high-risk parents were randomly allocated to standard care or more intensive intervention. The participants who benefitted most were living in Southern (OR 2.39–3.67, p &lt; 0.001) and Eastern Europe (OR 1.55–2.47, p &lt; 0.05), received more intensive intervention (OR 1.53–1.90, p = 0.002) and were younger (&lt;40 years old) adults (OR 1.48–1.51, p &lt; 0.05). Furthermore, individuals with tertiary education (OR 2.06, p &lt; 0.001), who were unemployed (OR 1.62–1.68, p &lt; 0.05) and perceived their body weight to be higher than normal (OR 1.58–3.00, p &lt; 0.05) were more likely to benefit from the program. Lastly, males were more likely to show improvements in their glycaemic profiles compared to females (OR 1.40, p = 0.024). These findings point out the regions in Europe and the sociodemographic profile of individuals that benefitted the most in the current study, highlighting the need to prioritise regions in greater need for such interventions and also tailor future interventions to the characteristics and perceptions of the target populations. © 2020 by the authors. Licensee MDPI, Basel, Switzerland

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&apos;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&apos;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 &lt; 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. Trial registration: Clinicaltrials.gov NCT02393872. Registered March 20, 2015. © 2020 The Author(s)