ArticleScientific reports2016
Urinary excretions of 34 dietary polyphenols and their associations with lifestyle factors in the EPIC cohort study.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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Who cites it
39 citing papers in PubMed, 87 citations in OpenAlex.
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- Urine Metabolites Associated with the Dietary Approaches to Stop Hypertension (DASH) Diet: Results from the DASH-Sodium Trial.Molecular nutrition & food research · 2021Trial
- Measuring the impact of olive pomace enriched biscuits on the gut microbiota and its metabolic activity in mildly hypercholesterolaemic subjects.European journal of nutrition · 2019Trial
- Phytochemicals in arthritis management: insight into pharmacodynamic potency with pharmacokinetic profile.Inflammopharmacology · 2026Review
- Advances and opportunities in measuring dietary intake: from omics to AI.Nature metabolism · 2026Review
- Novel Strategy for Cancer Therapy Proposal Based on Effects and Mechanisms of Targeting Cuproptosis by Polyphenols-A Narrative Review.Nutrients · 2026Review
- The Germination Paradox in Sorghum: A Review.Foods (Basel, Switzerland) · 2026Review
- Targeted Urinary Profiling as a Biomarker of Dietary Flavonoid Intake from Fruits and Vegetables and its Relationship to the Timing of Dietary Assessment.Current developments in nutrition · 2025Article
- Increasing Life Expectancy with Plant Polyphenols: Lessons from the Mediterranean and Japanese Diets.Molecules (Basel, Switzerland) · 2025Review
- Small Phenolic Metabolites at the Nexus of Nutrient Transport and Energy Metabolism.Molecules (Basel, Switzerland) · 2025Review
- Metatranscriptomics-guided discovery and characterization of a polyphenol-metabolizing gut microbial enzyme.Cell host & microbe · 2024Article
- Flavonoid-Rich Foods, Dementia Risk, and Interactions With Genetic Risk, Hypertension, and Depression.JAMA network open · 2024Article
- Exploring Human Metabolome after Wine Intake-A Review.Molecules (Basel, Switzerland) · 2023Review
- Current Viewpoint on Female Urogenital Microbiome-The Cause or the Consequence?Microorganisms · 2023Review
- Article
- Correlation Analysis between Dietary Intake of Tyrosols and Their Food Sources and Urinary Excretion of Tyrosol and Hydroxytyrosol in a European Population.Antioxidants (Basel, Switzerland) · 2023Article
- (-)‑Epigallocatechin‑3‑Biomedical reports · 2023Article
- Health associations of liver enzymes and inflammatory scores with urinary citrus flavonoid metabolites.Food & function · 2023Article
- Urinary and Daily Assumption of Polyphenols and Hip-Fracture Risk: Results from the InCHIANTI Study.Nutrients · 2022Article
- Identification and Quantification of Urinary Microbial Phenolic Metabolites by HPLC-ESI-LTQ-Orbitrap-HRMS and Their Relationship with Dietary Polyphenols in Adolescents.Antioxidants (Basel, Switzerland) · 2022Article
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Authors and funding
24 authors at 13 institutions in 5 countries.
Funding
Abstract
Urinary excretion of 34 dietary polyphenols and their variations according to diet and other lifestyle factors were measured by tandem mass spectrometry in 475 adult participants from the European Prospective Investigation into Cancer and Nutrition (EPIC) cross-sectional study. A single 24-hour urine sample was analysed for each subject from 4 European countries. The highest median levels were observed for phenolic acids such as 4-hydroxyphenylacetic acid (157 μmol/24 h), followed by 3-hydroxyphenylacetic, ferulic, vanillic and homovanillic acids (20-50 μmol/24 h). The lowest concentrations were observed for equol, apigenin and resveratrol (<0.1 μmol/24 h). Urinary polyphenols significantly varied by centre, followed by alcohol intake, sex, educational level, and energy intake. This variability is largely explained by geographical variations in the diet, as suggested by the high correlations (r > 0.5) observed between urinary polyphenols and the intake of their main food sources (e.g., resveratrol and gallic acid ethyl ester with red wine intake; caffeic, protocatechuic and ferulic acids with coffee consumption; and hesperetin and naringenin with citrus fruit intake). The large variations in urinary polyphenols observed are largely determined by food preferences. These polyphenol biomarkers should allow more accurate evaluation of the relationships between polyphenol exposure and the risk of chronic diseases in large epidemiological studies.
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