The full consensus on the role of dietary polyphenols as human-healthpromoting compounds remains elusive. The two-way interaction between polyphenols and gut microbiota (GM) (i.e., modulation of GM by polyphenols and their catabolism by the GM) is determinant in polyphenols' effects. The identification of human metabotypes associated with a differential gut microbial metabolism of polyphenols has opened new research scenarios to explain the inter-individual variability upon polyphenols consumption. The metabotypes unequivocally identified so far are those involved in the metabolism of isoflavones (equol and(or) O-desmethylangolesin producers versus non-producers) and ellagic acid (urolithin metabotypes, including producers of only urolithin-A (UM-A), producers of urolithin-A, isourolithin-A, and urolithin-B (UM-B), and non-producers (UM-0)). In addition, the microbial metabolites (phenolic-derived postbiotics) such as equol, urolithins, valerolactones, enterolactone, and enterodiol, and 8-prenylnaringenin, among others, can exert differential health effects. The knowledge is updated and position is taken here on i) the two-way interaction between GM and polyphenols, ii) the evidence between phenolic-derived postbiotics and health, iii) the role of metabotypes as biomarkers of GM and the clustering of individuals depending on their metabotypes (metabotyping) to explain polyphenols' effects, and iv) the gut microbial metabolism of catecholamines to illustrate the intersection between personalized nutrition and precision medicine.A. Cortés-Martín, Dr.

Scope The gut microbiota ellagitannin‐metabolizing phenotypes (i.e., urolithin metabotypes [UMs]) are proposed as potential cardiovascular disease (CVD) risk biomarkers because the host blood lipid profile is reported to be associated with specific UMs. However, the link for this association remains unknown so far. Methods and Results The gut microbiome of 249 healthy individuals is analyzed using 16S rDNA sequencing analysis. Individuals are also stratified by UMs (UM‐A, UM‐B, and UM‐0) and enterotypes (Bacteroides, Prevotella, and Ruminococcus). Associations of UMs discriminating bacteria with CVD risk markers are investigated. Distribution and gut microbiota composition of UMs and enterotypes are not coincident. Almost half of the discriminating genera between UM‐A and UM‐B belongs to the Coriobacteriaceae family. UM‐B individuals present higher blood cholesterol levels and higher alpha‐diversity, including Coriobacteriaceae family, than those of UM‐A. Coriobacteriaceae, whose abundance is the highest in UM‐B, is positively correlated with total cholesterol, LDL cholesterol, and body mass index. Conclusions Results herein suggest that the family Coriobacteriaceae could be a link between individuals’ UMs and their blood cholesterol levels. Further research is needed to explore the mechanisms of the host metabolic phenotype, including cholesterol excretion products, to modulate this bacterial family.

Understanding individuals' response to dietary bioactives is crucial for personalized nutrition. We report here for the first time in a Caucasian cohort (5-90 years, n = 839) that aging is the main factor that determines the gut microbiota involved in the ellagic acid-ellagitannin metabolism (urolithin metabotypes), with potential consequences for human health.