Metabotyping for Precision Nutrition and Weight Management: Hype or Hope?

A double-blinded, randomized, parallel intervention to evaluate biomarker-based nutrition plans for weight loss: The PREVENTOMICS study

“…Our study is among the very few that used a double-blinded randomized design to prospectively assign participants to personalized or generic diet plans. Previously, the efficacy of metabotyping in weight management has been evaluated in observational studies and by post-hoc stratification of subjects in randomized trials, with substantial heterogeneity in their precision nutrition methodology, varying from using one or a few genetic or metabolic biomarkers to using complex machine-learning algorithms that include multiple parameters [13]. In the 12-month DIETFITS study, 609 adults with overweight were randomized to either a healthy low-fat diet or a healthy low-carbohydrate dietdboth aiming at weight loss.…”

“…In particular, the application of metabolomics in the nutrition sciences has deepened the understanding of the association between diet and health, and helped identify relevant biomarkers [11,12]. This has led to the emerging concept of "metabotyping" (metabolic phenotypes) which refers to stratifying individuals into relatively homogenous subgroups based on their similarities of metabolic signatures (i.e., metabolic profiling) [13]. Metabotyping represents a promising approach for delivering precision nutrition recommendations to optimize the benefits according to each subgroup's needs [9,14].…”

Effects of Moringa oleifera Lam. Supplementation on Inflammatory and Cardiometabolic Markers in Subjects with Prediabetes

“…One hundred percent of participants were correctly classified as respondents based on basal TNF-α ≤ 7.330 pg/mL. However, although the threshold of 7.330 pg/mL for basal value TNF-α is the best predictor of HbA1c response, 28% of those subjects with values under this threshold will still be nonrespondents, probably because of other factors not measured in this study, which might include genetic polymorphisms and epigenetic regulation of genes involved in carbohydrate and lipid metabolism [54] or microbiome differences between subjects [55,56]. On the other hand, considering the predictive character of this test, this screening method would facilitate the identification of 19% of subjects with prediabetes that would not respond due to high basal TNF-α values, under the conditions used for supplementation in this study.…”

Developing a model to predict the early risk of hypertriglyceridemia based on inhibiting lipoprotein lipase (LPL): a translational study

“…Actually, one of the strategies for personalising treatments is based on stratifying the population according to metabotypes. This concept of grouping individuals into smaller, relatively homogeneous subgroups or clusters based on their metabolic phenotype has great potential for precision treatments 57 . Current approaches range from metabotypes obtained under fasting conditions to groups defined after meal challenges or dietary interventions 58 .…”