Unravelling phenolic metabotypes in the frame of the COMBAT study, a randomized, controlled trial with cranberry supplementation

• Published in: Food research international Vol. 172; p. 113187
• Main Authors: Tosi, Nicole, Favari, Claudia, Bresciani, Letizia, Flanagan, Emma, Hornberger, Michael, Narbad, Arjan, Del Rio, Daniele, Vauzour, David, Mena, Pedro
• Format: Journal Article
• Language: English
• Published: Canada Elsevier Ltd 01.10.2023
• Subjects: Cluster Analysis; cranberries; Cranberry; Dietary Supplements; digestive system; excretion; food research; hippuric acid; Inter-individual variability; Metabolic phenotypes; metabolism; metabolites; Phenol; Phenolic metabolites; Phenols; Phenyl-γ-valerolactones; urine; Vaccinium macrocarpon; Metabolic phenotypes; Phenyl-γ-valerolactones; Inter-individual variability; Phenolic metabolites; Cranberry
• ISSN: 0963-9969; 1873-7145; 1873-7145
• DOI: 10.1016/j.foodres.2023.113187

[Display omitted] •Unravelling phenolic metabotypes after chronic cranberry consumption.•Plasma and urine phenolic metabolites after chronic cranberry intake were quantified.•Cranberry led to changes in plasma concentrations of (poly)phenol metabolites.•Three urinary metabotypes based on colonic phenolic metabolites were identified.•5-(3′,4′-Dihydroxyphenyl)-γ-valerolactones were relevant metabolites for metabotyping.•Metabotype allocation was well preserved after 12-week cranberry intervention. Cranberry (poly)phenols may have potential health benefits. Circulating (poly)phenol metabolites can act as mediators of these effects, but they are subjected to an extensive inter-individual variability. This study aimed to quantify both plasma and urine (poly)phenol metabolites following a 12-week intake of a cranberry powder in healthy older adults, and to investigate inter-individual differences by considering the existence of urinary metabotypes related to dietary (poly)phenols. Up to 13 and 67 metabolites were quantified in plasma and urine respectively. Cranberry consumption led to changes in plasma metabolites, mainly hydroxycinnamates and hippuric acid. Individual variability in urinary metabolites was assessed using different data sets and a combination of statistical models. Three phenolic metabotypes were identified, colonic metabolism being the main driver for subject clustering. Metabotypes were characterized by quali-quantitative differences in the excretion of some metabolites such as phenyl-γ-valerolactones, hydroxycinnamic acids, and phenylpropanoic acids. Metabotypes were further confirmed when applying a model only focused on flavan-3-ol colonic metabolites. 5-(3′,4′-dihydroxyphenyl)-γ-valerolactone derivatives were the most relevant metabolites for metabotyping. Metabotype allocation was well preserved after 12-week intervention. This metabotyping approach for cranberry metabolites represents an innovative step to handle the complexity of (poly)phenol metabolism in free-living conditions, deciphering the existence of metabotypes derived from the simultaneous consumption of different classes of (poly)phenols. These results will help contribute to studying the health effects of cranberries and other (poly)phenol-rich foods, mainly considering gut microbiota-driven individual differences.