Evidence map›Paper›PMID 37307990›Full record

ArticleThe American journal of clinical nutrition2023

Association of dietary flavan-3-ol intakes with plasma phenyl-γ-valerolactones: analysis from the TUDA cohort of healthy older adults.

Donato Angelino, Aoife Caffrey, Helene McNulty, Chris Ir Gill, Pedro Mena, Alice Rosi, Katie Moore, Leane Hoey, Michelle Clements, Eamon Laird and 11 more

Abstract read
In one paragraph

Article in The American journal of clinical nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors.

Donato AngelinoHuman Nutrition Unit, Department of Food and Drug, University of Parma, Parma, Italy; Department of Bioscience and Technology for Food, Agriculture, and Environment, University of Teramo, Teramo, Italy.
Aoife CaffreyNutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland, UK.
Helene McNultyNutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland, UK.
Chris Ir GillNutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland, UK.
Pedro MenaHuman Nutrition Unit, Department of Food and Drug, University of Parma, Parma, Italy; Microbiome Research Hub, University of Parma, Parma, Italy.
Alice RosiHuman Nutrition Unit, Department of Food and Drug, University of Parma, Parma, Italy.
Katie MooreNutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland, UK.
Leane HoeyNutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland, UK.
Michelle ClementsNutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland, UK.
Eamon LairdDepartment of Clinical Medicine, School of Medicine, Trinity Centre for Health Sciences, Trinity College Dublin, Ireland.
Kerrie BoydDepartment of Clinical Medicine, School of Medicine, Trinity Centre for Health Sciences, Trinity College Dublin, Ireland.
Brian MullenDepartment of Clinical Medicine, School of Medicine, Trinity Centre for Health Sciences, Trinity College Dublin, Ireland.
Bruna PucciSchool of Geography and Environmental Sciences, Ulster University, Coleraine, Northern Ireland, UK.
Harry JarrettNutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland, UK.
Conal CunninghamDepartment of Clinical Medicine, School of Medicine, Trinity Centre for Health Sciences, Trinity College Dublin, Ireland.
Mary WardNutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland, UK.
J J StrainNutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland, UK.
Kevin McCarrollDepartment of Clinical Medicine, School of Medicine, Trinity Centre for Health Sciences, Trinity College Dublin, Ireland.
Adrian J MooreSchool of Geography and Environmental Sciences, Ulster University, Coleraine, Northern Ireland, UK.
Anne M MolloyDepartment of Clinical Medicine, School of Medicine, Trinity Centre for Health Sciences, Trinity College Dublin, Ireland.
Daniele Del RioHuman Nutrition Unit, Department of Food and Drug, University of Parma, Parma, Italy; Microbiome Research Hub, University of Parma, Parma, Italy. Electronic address: daniele.delrio@unipr.it.

Funding

Biotechnology and Biological Sciences Research Council BB/P028225/1
6 · The paper itself

Abstract

backgroundDietary polyphenols, including flavan-3-ols (F3O), are associated with better health outcomes. The relationship of plasma phenyl-γ-valerolactones (PVLs), the products of colonic bacterial metabolism of F3O, with dietary intakes is unclear.

objectivesTo investigate whether plasma PVLs are associated with self-reported intakes of total F3O and procyanidins+(epi)catechins.

designWe measured 9 PVLs by uHPLC-MS-MS in plasma from adults (>60y) in the Trinity-Ulster-Department of Agriculture (TUDA study (2008 to 2012; n=5186) and a follow-up subset (2014 to 2018) with corresponding dietary data (n=557). Dietary (poly)phenols collected by FFQ were analyzed using Phenol-Explorer.

resultsMean (95% confidence interval [CI]) intakes were estimated as 2283 (2213, 2352) mg/d for total (poly)phenols, 674 (648, 701) for total F3O, and 152 (146, 158) for procyanidins+(epi)catechins. Two PVL metabolites were detected in plasma from the majority of participants, 5-(hydroxyphenyl)-γ-VL-sulfate (PVL1) and 5-(4'-hydroxyphenyl)-γ-VL-3'-glucuronide (PVL2). The 7 other PVLs were detectable only in 1-32% of samples. Self-reported intakes (mg/d) of F3O (r = 0.113, P = 0.017) and procyanidin+(epi)catechin (r = 0.122, P = 0.010) showed statistically significant correlations with the sum of PVL1 and PVL 2 (PVL1+2). With increasing intake quartiles (Q1-Q4), mean (95% CI) PVL1+2 increased; from 28.3 (20.8, 35.9) nmol/L in Q1 to 45.2 (37.2, 53.2) nmol/L in Q4; P = 0.025, for dietary F3O, and from 27.4 (19.1, 35.8) nmol/L in Q1 to 46.5 (38.2, 54.9) nmol/L in Q4; P = 0.020, for procyanidins+(epi)catechins.

conclusionsOf 9 PVL metabolites investigated, 2 were detected in most samples and were weakly associated with intakes of total F3O and procyanidins+(epi)catechins. Future controlled feeding studies are required to validate plasma PVLs as biomarkers of these dietary polyphenols.

Indexed as

CatechinProanthocyanidinsAgedEatingFlavonoidsHumansLactonesPhenolsPolyphenolsCatechinflavan-3-olFlavonoidsgamma-valerolactoneLactonesPhenolsPolyphenolsProanthocyanidinsDietary (poly)phenols(epi)catechinsflavan-3-olsolder adultsphenyl-γ-valerolactonesprocyanidins

Identifiers

PMID37307990
PMCPMC10493433

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.