A serum metabolomics-driven approach predicts orange juice consumption and its impact on oxidative stress and inflammation in subjects from the BIONAOS study.

SCOPE: To identify biomarkers of orange juice (OJ) consumption containing different doses of polyphenols and to determine its impact on oxidative stress and inflammation using an untargeted metabolomics analysis.

METHODS AND RESULTS: Thirty subjects aged 22-63 years from the BIONAOS study consumed a normal-polyphenol OJ (NPJ) or a high-polyphenol OJ (HPJ) (299 or 745 mg/L, respectively) for 12 weeks in a randomized, parallel, double-blind study. UHPLC-MS, univariate and multivariate statistical analysis and ROC curves were used to design biomarkers of consumption in serum. We propose betonicine, stachydrine, methyl glucopyranoside (alpha+beta), dihydroferulic acid and galactonate as a new metabolic signature to distinguish the intake of OJ with a different polyphenol content. Changes in metabolites related to OJ, oxidative stress and inflammation were observed. After HPJ consumption, the serum levels of hydroxyoctadecadienoic acid (9-HODE+13-HODE) and dihydroxyoctadecanoic acid (12,13-DiHOME and 9,10-DiHOME) decreased, whereas levels of 12-hydroxyeicosatetraenoic acid (12-HETE) increased. 5-HETE increased after the NPJ intervention exclusively.

CONCLUSION: We designed a new panel of biomarkers to differentiate the intake of OJs containing different doses of polyphenols. On the other hand, the consumption of an OJ with a high content of flavanones improved oxidative stress and inflammatory biomarkers.