The Application of Digital Technologies and Artificial Intelligence in Healthcare: An Overview on Nutrition Assessment.

In the last decade, artificial intelligence (AI) and AI-mediated technologies have undergone rapid evolution in healthcare and medicine, from apps to computer software able to analyze medical images, robotic surgery and advanced data storage system. The main aim of the present commentary is to briefly describe the evolution of AI and its applications in healthcare, particularly in nutrition and clinical biochemistry. Indeed, AI is revealing itself to be an important tool in clinical nutrition by using telematic means to self-monitor various health metrics, including blood glucose levels, body weight, heart rate, fat percentage, blood pressure, activity tracking and calorie intake trackers. In particular, the application of the most common digital technologies used in the field of nutrition as well as the employment of AI in the management of diabetes and obesity, two of the most common nutrition-related pathologies worldwide, will be presented.

Chondroitin Sulfate Alleviated Obesity by Modulating Gut Microbiota and Liver Metabolome in High-Fat-Diet-Induced Obese Mice.

Chondroitin sulfate (CS) is a special bioactive substance with lipid metabolism regulation functions; its molecular mechanisms, however, need further study. This study aimed to study the role of gut microbiota and liver metabolome in the anti-obesity effects of CS. The results demonstrated that CS significantly reduced body weight gain and alleviated insulin resistance and dyslipidemia induced by high-fat diet treatment. Moreover, CS interestingly increased the content of Firmicutes in intestinal microbiota. Further studies showed that there were 11 different metabolites involved in metabolic pathways, including the unsaturated fatty acid biosynthesis pathway, primary bile acid biosynthesis, and taurine and hypotaurine metabolism. In addition, Spearman's correlation analysis indicated that the anti-obesity effect of CS is closely related to liver metabolic regulation. Overall, these results provide a possible molecular mechanism by which CS reduces body weight and lipid accumulation.

Transcriptome analysis provides insight into deltamethrin-induced fat accumulation in 3T3-L1 adipocytes.

Previously, deltamethrin (a Type-II pyrethroid) has been reported to increase triglyceride (fat) accumulation in adipocytes, while its underlying molecular mechanism is not fully determined. The aim of this study was to further investigate the molecular mechanisms of deltamethrin induced fat accumulation in murine 3T3-L1 adipocytes. Consistent to previous reports, deltamethrin (10 µM) significantly promoted adipogenesis in 3T3-L1 adipocytes. RNA sequencing (RNA-seq) results showed that 721 differentially expressed genes (DEGs) were identified after deltamethrin treatment, involving in 58 Functional groups of Gene Ontology (GO) and 255 Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. Several key functional groups regulating adipogenesis, such as fat cell differentiation (Igf1, Snai2, Fgf10, and Enpp1) and cytosolic calcium ion concentration (Nos1, Cxcl1, and Ngf) were significantly enriched. Collectively, these results suggest that the promotion of adipogenesis by deltamethrin was attributed to an obesogenic global transcriptomic response, which provides further understanding of the underlying mechanisms of deltamethrin-induced fat accumulation.