Personalized optimal nutrition lifestyle for self obesity management using metaalgorithms.

Precision medicine applies machine learning methods to estimate the personalized optimal treatment decision based on individual information, such as genetic data and medical history. The main purpose of self obesity management is to develop a personalized optimal life plan that is easy to implement and adhere to, thereby reducing the incidence of obesity and obesity-related diseases. The methodology comprises three components. First, we apply catboost, random forest and lasso covariance test to evaluate the importance of individual features in forecasting body mass index. Second, we apply metaalgorithms to estimate the personalized optimal decision on alcohol, vegetable, high caloric food and daily water intake respectively for each individual. Third, we propose new metaalgorithms named SX and SXwint learners to compute the personalized optimal decision and compare their performances with other prevailing metalearners. We find that people who receive individualized optimal treatment options not only have lower obesity levels than others, but also have lower obesity levels than those who receive 'one-for-all' treatment options. In conclusion, all metaalgorithms are effective at estimating the personalized optimal decision, where SXwint learner shows the best performance on daily water intake.

The role of transient receptor potential ankyrin 1 in age-related endothelial dysfunction.

Oxidative stress plays a key role in age-related vascular disease. The present study aimed to investigate the role of an antioxidant channel, transient receptor potential ankyrin 1 (TRPA1), in age-related endothelial dysfunction. Human umbilical vein endothelial cells (HUVECs) were grown to induce replicative senescence, and 6-month-old young, 12-month-old middle-aged, and 24-month-old aged mice were used. TRPA1 was downregulated in senescent HUVECs, so were endothelial nitric oxide synthase (eNOS), nuclear factor erythroid 2-related factor 2 (Nrf2), and uncoupling protein 2 (UCP2). Activating TRPA1 with cinnamaldehyde prevented downregulation of eNOS, Nrf2, and UCP2, inhibited superoxide production and apoptosis, and preserved nitric oxide bioavailability in senescent HUVECs. TRPA1, phosphorylated eNOS, Nrf2 and UCP2 were significantly downregulated in aged aortas compared with young aortas after a compensatory upregulation in middle-aged aortas. Dietary administration of cinnamaldehyde for 12 months prevented mitochondrial dysfunction, improved endothelium-dependent relaxation, and increased expression of eNOS, Nrf2, and UCP2 in aged aortas. Importantly, the effects of cinnamaldehyde can be blocked by a TRPA1 antagonist HC-030031. These findings suggest that TRPA1 may play a critical role in age-related endothelial dysfunction and may become a therapeutic target for the treatment and prevention of age-related vascular disease.