ArticleJournal of agricultural and food chemistry2024
Development of a (Poly)phenol Metabolic Signature for Assessing (Poly)phenol-Rich Dietary Patterns.
Article in Journal of agricultural and food chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed.
- Preparation, Structural Characterization, and Synergistic Hypoglycemic Effect of Jujube Polysaccharide-Polyphenol Complex.Foods (Basel, Switzerland) · 2026Article
- Higher adherence to (poly)phenol-rich diet is associated with lower CVD risk in the TwinsUK cohort.BMC medicine · 2025Article
- Mitohormesis and Regeneration: Natural Compounds Chlorogenic Acid (CGA) and Isovanillic Acid 3-O-sulfate (IVAS) Boost Muscle Cell Recovery in the Equine Athlete Model.Stem cell reviews and reports · 2025Article
- Urinary Hippuric Acid as a Sex-Dependent Biomarker for Fruit and Nut Intake Raised from the EAT-Lancet Index and Nuclear Magnetic Resonance Analysis.Metabolites · 2025Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
The objective assessment of habitual (poly)phenol-rich diets in nutritional epidemiology studies remains challenging. This study developed and evaluated the metabolic signature of a (poly)phenol-rich dietary score (PPS) using a targeted metabolomics method comprising 105 representative (poly)phenol metabolites, analyzed in 24 h of urine samples collected from healthy volunteers. The metabolites that were significantly associated with PPS after adjusting for energy intake were selected to establish a metabolic signature using a combination of linear regression followed by ridge regression to estimate penalized weights for each metabolite. A metabolic signature comprising 51 metabolites was significantly associated with adherence to PPS in 24 h urine samples, as well as with (poly)phenol intake estimated from food frequency questionnaires and diaries. Internal and external data sets were used for validation, and plasma, spot urine, and 24 h urine samples were compared. The metabolic signature proposed here has the potential to accurately reflect adherence to (poly)phenol-rich diets, and may be used as an objective tool for the assessment of (poly)phenol intake.
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Registered trials
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