Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) is the leading cause of liver-related morbidity and mortality. Although the invasive liver biopsy remains the golden standard for MASLD diagnosis, Magnetic Resonance Imaging-derived Proton Density Fat Fraction (MRI-PDFF) is an accurate, non-invasive method for the assessment of treatment response. This study aimed at developing a Polygenic Risk Score (PRS) to improve MRI-PDFF prediction using UK Biobank data to assess an individual’s genetic liability to MASLD. Methods: We iteratively sequestered 10% of MRI-PDFF samples as a validation set and split the rest of each dataset into base and target partitions, containing GWAS summary statistics and raw genotype data, respectively. PRSice2 was deployed to derive PRS candidates. Based on the frequency of SNP appearances along the PRS candidates, we generated different SNP sets according to variable frequency cutoffs. By applying the PRSs to the validation set, we identified the optimal SNP set, which was then applied to a Greek nonalcoholic fatty liver disease (NAFLD) study. Results: Data from 3553 UK Biobank participants yielded 49 different SNP sets. After calculating the PRS on the validation set for every SNP set, an optimal PRS with 75 SNPs was selected (incremental R² = 0.025, p-value = 0.00145). Interestingly, 43 SNPs were successfully mapped to MASLD-related known genes. The selected PRS could predict traits, like LDL cholesterol and diastolic blood pressure in the UK Biobank, as also disease outcome in the Greek NAFLD study. Conclusions: Our findings provide strong evidence that PRS is a powerful prediction model for MASLD, while it can also be applied on populations of different ethnicity.

Background: Physical activity (PA) and weight regulation are influenced by both genetic and lifestyle factors. This study aimed to evaluate the predictive value of Polygenic Risk Scores (PRSs) for PA and weight outcomes, and their interaction with dietary habits. Methods: Baseline phenotypic data from 202 participants enrolled in the iMPROVE study were analyzed. The sample included 59 men and 143 women, aged 19–65 years. Based on baseline Body Mass Index (BMI), 75 participants were classified as having overweight and 126 as having obesity. Polygenic risk scores (PRSs) were calculated for 197 participants with available genetic data. PA was operationalized as metabolic equivalent of task minutes per week (MET-mins/week), derived from self-reported activity questionnaires. Weight-related outcomes included log-transformed weight loss from baseline to month 3 and change in BMI post-intervention. Interactions with diet were examined using both the randomized intervention dietary groups and previously extracted dietary patterns from the iMPROVE cohort. Correlation analyses and linear regression models were used to assess the main effects of PRSs and dietary patterns, as well as gene–diet interactions. Results: The measured PA PGS002254 presented a nominal significant interaction with diet group for weight loss post-intervention (B = 7.57, SE = 3.57 × 10⁰, p = 0.04; R² = 0.06). Similarly, the sedentary behavior PGS001923 presented a significant interaction with the “High in unsaturated fats and fruit juice consumption” pattern for baseline MET-mins/week (B = 1.51 × 10³, SE = 4.135 × 10², p = 0.001; R² = 0.091). Conclusions: Genetic predisposition influences short-term activity and weight outcomes, with dietary patterns moderating these effects. However, the multifactorial nature of lifestyle behaviors is being underscored by the modest variance explained.

Hypertension is a chronic, multifactorial disease, leading to high cardiovascular morbidity and mortality globally. Despite the advantages of pharmaceutical treatments, natural products have gained scientific interest due to their emerging phytotherapeutic properties. Chios mastic is a natural Greek product, consisting of bioactive compounds which modify microRNAs’ (small, expression-regulating molecules) expression. In this study, we investigated the antihypertensive properties of Chios mastic through the assessment of miR-21 levels. Herein, plasma samples of 57 individuals with hypertension, recruited for the purposes of the HYPER-MASTIC study, were analyzed. This was a clinical trial with Chios mastic supplements in which the patients were divided into groups receiving high and low mastic doses and placebo supplements, respectively. miR-21 was significantly upregulated in patients compared to normotensive individuals. Mean changes in miR-21 levels were statistically significant, after adjusting for sex and age, between the placebo and low-dose group and between the low- and high-dose group. Post-intervention miR-21 levels were positively associated with night-time systolic blood pressure, pulse pressure, and central systolic mean arterial pressure and negatively associated with night-time pulse wave velocity in the low-dose group. Our findings suggest a potential implication of miR-21 in the association of Chios mastic with night-time blood pressure measurements.

ATLAS is a cross-sectional study aiming to investigate environmental and genetic determinants of athletic performance in healthy Greek competitive athletes (CA). This article presents the study design, investigates the muscle strength performance (MSP) of 289 adult and teenage CA, exercisers, and physically inactive individuals (PI), and proposes predictive models of MSP for adults. Muscle maximal, speed, and explosive strength (MMS/MSS/MES) at unilateral maximal concentric flexion and extension contraction (FC/EC) were evaluated using Biodex System 3 PRO™ at 60 °/s, 180 °/s, and 300 °/s, while additional performance markers were assessed through field ergometric testing. Participants were interviewed about their lifestyle, dietary habits, physical activity, injury, and medical history. Body composition was assessed via bioelectrical impedance. gDNA was extracted from biochemical samples and then genotyped. Statistical analysis was conducted using IBM SPSS Statistics v21.0 and R. Age, fitness, and sex impacted correlations of MSP with body composition and anthropometric measurements (p ​< ​0.05). Among CA, females outperformed males in accuracy (p ​< ​0.001) while, males outperformed females in anaerobic power, MSP, speed, and endurance (p ​< ​0.001). Adult CA outperformed exercisers and PI in MMS, MSS, and MES (p ​< ​0.05). Multiple linear regression models, with predictors age, FFM, body extremity, training load explained the majority of variation in MMS (R²_adj:71.4%–88.9%), MSS (R²_adj:64.8%–78.4 ​%), and MES (R²_adj:52.7%–68.4 ​%) at EC, FC, and their mean (p ​< ​0.001). Muscle-strengthening strategies should be customized according to individual fitness levels, body composition, and anthropometric measurements. The innovative sex-specific regression models assessing MMS, MSS, and MES at EC and FC provide a framework for personalizing rehabilitation and skill-specific training strategies.