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Background: It has been suggested that the dysfunction of the gut microbiome can have deleterious effects on the regulation of body weight and adiposity by affecting energy metabolism. In this context, gut bacterial profiling studies have contributed to characterize specific bacteria associated with obesity. This review covers the information driven by gut bacterial profiling analyses and emphasizes the potential application of this knowledge in precision nutrition strategies for obesity understanding and weight loss management. Summary: Gut bacterial profiling studies have identified bacterial families that are more abundant in obese than in nonobese individuals (i.e., Prevotellaeae, Ruminococcaceae, and Veillonellaceae) as well as other families that have been repeatedly found more abundant in nonobese people (i.e., Christensenellaceae and Coriobacteriaceae), suggesting that an increase in their relative amount could be an interesting target in weight-loss treatments. Also, some gut-derived metabolites have been related to the regulation of body weight, including short-chain fatty acids, trimethylamine-N-oxide, and branched-chain and aromatic amino acids. Moreover, gut microbiota profiles may play a role in determining weight loss responses to specific nutritional treatments for the precise management of obesity. Thus, incorporating gut microbiota features may improve the performance of integrative models to predict weight loss outcomes. Key Messages: The application of gut bacterial profiling information is of great value for precision nutrition in metabolic diseases since it contributes to the understanding of the role of the gut microbiota in obesity onset and progression, facilitates the identification of potential microorganism targets, and allows the personalization of tailored weight loss diets as well as the prediction of adiposity outcomes based on the gut bacterial profiling of each individual. Integrating microbiota information with other omics knowledge (genetics, epigenetics, transcriptomics, proteomics, and metabolomics) may provide a more comprehensive understanding of the molecular and physiological events underlying obesity and adiposity outcomes for precision nutrition.

BackgroundEdible plants can exert anti-inflammatory activities in humans, being potentially useful in the treatment of inflammatory diseases. Plant-derived microRNAs have emerged as cross-kingdom gene expression regulators and could act as bioactive molecules involved in the beneficial effects of some edible plants. We investigated the role of edible plant-derived microRNAs in the modulation of pro-inflammatory human genes.MethodsMicroRNAs from plant-derived foods were identified by next-generation sequencing. MicroRNAs with inflammatory putative targets were selected, after performing in silico analyses. The expression of candidate plant-derived miRNAs was analyzed by qPCR in edible plant-derived foods and their effects were evaluated in THP-1 monocytes differentiated to macrophages. The bioavailability of candidate plant miRNAs in humans was evaluated in feces and serum samples by qPCR.ResultsmiR482f and miR482c-5p are present in several edible plant-derived foods, such as fruits, vegetables, and cooked legumes and cereals, and fats and oils. Transfections with miR482f and miR482c-5p mimics decreased the gene expression of CLEC7A and NFAM1, and TRL6, respectively, in human THP-1 monocytes differentiated to macrophages, which had an impact on gene expression profile of inflammatory biomarkers. Both microRNAs (miR482f and miR482c-5p) resisted degradation during digestion and were detected in human feces, although not in serum.ConclusionOur findings suggest that miR482f and miR482c-5p can promote an anti-inflammatory gene expression profile in human macrophages in vitro and their bioavailability in humans can be achieved through diet, but eventually restricted at the gut level.