Evidence map›Paper›PMID 29959422›Full record

ArticleScientific reports2018

Evaluation at scale of microbiome-derived metabolites as biomarker of flavan-3-ol intake in epidemiological studies.

Javier I Ottaviani, Redmond Fong, Jennifer Kimball, Jodi L Ensunsa, Abigail Britten, Debora Lucarelli, Robert Luben, Philip B Grace, Deborah H Mawson, Amy Tym and 4 more

2 registry-linked trialsOpen access · goldAbstract readEvaluation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 34 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 2 pooled it
4.8field-weighted citation impact, top 4% of its field
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.

NCT02312310 nacompletednot on this map

Dietary Cocoa Flavanols and Age-Related Memory Decline

TypeinterventionalSponsorNew York State Psychiatric InstituteRan2015 to 2020Enrolled211ConditionsMemory LossArmsCocoa Flavanol
NCT06086145 active not recruitingnot on this mapstarted 2023, after this paper: background citation

Flavanol Intake in Davis (FID) Study: Biomarker-estimated Habitual (-)-Epicatechin and Flavanol Intake in Adults

TypeobservationalSponsorUniversity of California, DavisRan2023 to 2026Enrolled200ConditionsHealthy, Diet, AdultsArmsNo intervention
3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 2 syntheses or guidelines pooled it, 70 citations in OpenAlex.

  1. Biomarkers of Berry Intake: Systematic Review Update.Journal of agricultural and food chemistry · 2023
    Pooled it
  2. Guideline
  3. Trial
  4. Trial
  5. Trial
  6. Trial
  7. Trial
  8. Trial
  9. Trial
  10. Trial
  11. Trial
  12. Trial
  13. Trial
  14. Trial
  15. Review
  16. Article
  17. Review
  18. Review
  19. Review
  20. Article
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

14 authors at 3 institutions in 2 countries.

Javier I OttavianiMars, Inc., McLean, VA, USA.
Redmond FongDepartment of Nutrition, UC Davis, CA, USA.
Jennifer KimballDepartment of Nutrition, UC Davis, CA, USA.
Jodi L EnsunsaDepartment of Nutrition, UC Davis, CA, USA.
Abigail BrittenMRC Epidemiology Unit, University of Cambridge, Cambridge, UK.
Debora LucarelliMRC Epidemiology Unit, University of Cambridge, Cambridge, UK.
Robert LubenDepartment of Public Health and Primary Care, University of Cambridge, Cambridge, UK.ORCID 0000-0002-5088-6343
Philip B GraceLGC, Newmarket Road, Fordham, UK.
Deborah H MawsonLGC, Newmarket Road, Fordham, UK.
Amy TymLGC, Newmarket Road, Fordham, UK.
Antonia WierzbickiLGC, Newmarket Road, Fordham, UK.
Kay-Tee KhawDepartment of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Hagen SchroeterMars, Inc., McLean, VA, USA.
Gunter G C KuhnleDepartment of Public Health and Primary Care, University of Cambridge, Cambridge, UK. g.g.kuhnle@reading.ac.uk.ORCID 0000-0002-8081-8931
University of Cambridge · GBUniversity of California, Davis · USMars (United States) · US

Funding

Cancer Research UK 14136Medical Research Council G0401527Medical Research Council G1000143Medical Research Council MR/N003284/1
6 · The paper itself

Abstract

The accurate assessment of dietary intake is crucial to investigate the effect of diet on health. Currently used methods, relying on self-reporting and food composition data, are known to have limitations and might not be suitable to estimate the intake of many bioactive food components. An alternative are nutritional biomarkers, which can allow an unbiased assessment of intake. They require a careful evaluation of their suitability, including: (a) the availability of a precise, accurate and robust analytical method, (b) their specificity (c) a consistent relationship with actual intake. We have evaluated human metabolites of a microbiome-derived flavan-3-ol catabolite, 5-(3',4'-dihydroxyphenyl)-[gamma]-valerolactone (gVL), as biomarker of flavan-3-ol intake in large epidemiological studies. Flavan-3-ols are widely consumed plant bioactives, which have received considerable interest due to their potential ability to reduce CVD risk. The availability of authentic standards allowed the development of a validated high-throughput method suitable for large-scale studies. In dietary intervention studies, we could show that gVL metabolites are specific for flavan-3-ols present in tea, fruits, wine and cocoa-derived products, with a strong correlation between intake and biomarker (Spearman's r = 0.90). This biomarker will allow for the first time to estimate flavan-3-ol intake and further investigation of associations between intake and disease risk.

Indexed as

DietAdultBiomarkersCacaoEpidemiologic StudiesFlavonoidsHealthy VolunteersHumansLactonesMiddle Aged(-)-5-(3',4'-dihydroxyphenyl)-valerolactoneBiomarkersflavan-3-olFlavonoidsLactones

Identifiers

PMID29959422
PMCPMC6026136
OpenAlexW2810015523

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.