RESUMO
Endothelial dysfunction (ED) is critical in the development and progression of cardiovascular (CV) disorders, yet effective therapeutic targets for ED remain elusive due to limited understanding of its underlying molecular mechanisms. To address this gap, we employed a systems biology approach to identify potential targets for ED. Our study combined multi omics data integration, with siRNA screening, high content imaging and network analysis to prioritise key ED genes and identify a pro- and anti-ED network. We found 26 genes that, upon silencing, exacerbated the ED phenotypes tested, and network propagation identified a pro-ED network enriched in functions associated with inflammatory responses. Conversely, 31 genes ameliorated ED phenotypes, pointing to potential ED targets, and the respective anti-ED network was enriched in hypoxia, angiogenesis and cancer-related processes. An independent screen with 17 drugs found general agreement with the trends from our siRNA screen and further highlighted DUSP1, IL6 and CCL2 as potential candidates for targeting ED. Overall, our results demonstrate the potential of integrated system biology approaches in discovering disease-specific candidate drug targets for endothelial dysfunction.
Assuntos
Biologia de Sistemas , RNA Interferente PequenoRESUMO
BACKGROUND: Obesity, a complex disease determined both by genetic and environmental factors, is strongly associated with NAFLD, and has been demonstrated to have a negative impact on HCV and other chronic liver diseases (CLD). RATIONALE: This study assessed the association between type and location of food sources and chronic liver disease (CLD) using Geographic Information Systems (GIS). RESULTS: CLD patients completed surveys [267 subjects, 56.5% female, age 55.8 ± 12.0, type of CLD: 36.5% hepatitis C (HCV), 19.9% hepatitis B (HBV), 19.9% non-alcoholic fatty liver disease (NAFLD); primary food source (PFS): 80.8% grocery store, secondary: 26.2% bulk food store, tertiary: 20.5% restaurants; fresh food (FF): 83%, pre-packaged (PP) 8.7%, already prepared (AP) 8.3%]. FF consumers had significantly fewer UEH servings/month (p = 0.030) and lived further away from convenience stores (1.69 vs. 0.95 km, p = 0.0001). Stepwise regression reveals the lowest FF consumers were NAFLD patients, subjects with UEH or restaurants and ethnic food stores as their PFS (R = 0.557, p = 0.0001). Eating already-packaged foods and utilizing restaurants or ethnic food stores as the PFS positively correlated with NAFLD (R = 0.546, p = 0.0001). CONCLUSIONS: Environmental food source measures, including type and density, should be included when examining areas hyper-saturated with a variety of food options. In hyper-saturated food environments, NAFLD patients consume more prepared food and less FF. CLD patients with UEH also eat significantly more prepared food and frequent restaurants and ethnic food stores as their PFS.