Evidence map›Paper›PMID 29152238›Full record

ArticleJournal of nutritional science2017

Identifying the metabolomic fingerprint of high and low flavonoid consumers.

Kerry L Ivey, Eric B Rimm, Peter Kraft, Clary B Clish, Aedin Cassidy, Jonathan Hodgson, Kevin Croft, Brian Wolpin, Liming Liang

Abstract read
In one paragraph

Article in Journal of nutritional science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Observational
  2. Review
  3. Article
  4. Article
  5. Article
  6. A lipid-related metabolomic pattern of diet quality.The American journal of clinical nutrition · 2020
    Article
  7. Review
  8. 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

9 authors.

Kerry L IveyDepartment of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
Eric B RimmDepartment of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
Peter KraftDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
Clary B ClishChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Aedin CassidyDepartment of Nutrition, Norwich Medical School, University of East Anglia, Norwich, Norfolk, UK.
Jonathan HodgsonUniversity of Western Australia, School of Medicine and Pharmacology, Perth, WA, Australia.
Kevin CroftUniversity of Western Australia, School of Medicine and Pharmacology, Perth, WA, Australia.
Brian WolpinChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Liming LiangDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA.

Funding

Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI TWOROGER, SHELLEY S · 2000 to 2019
$77.8M
Tissue and Pathology ResourcesP50CA127003 · NCI · DANA-FARBER CANCER INST · PI EL-BARDEESY, NABEEL, SELLERS, WILLIAM R · 2007 to 2023
$33.2M
Long Term Multidisciplinary Study of Cancer in Women: The Nurses Health StudyUM1CA186107 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIASSEN, A. HEATHER, STAMPFER, MEIR · 2014 to 2023
$22.3M
Cancer Epidemiology Cohort in Male Health ProfessionalsUM1CA167552 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI WILLETT, WALTER C. · 2012 to 2016
$11.5M
BIOCHEMICAL MARKERS IN THE NURSES'HEALTH STUDY COHORTR01CA049449 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI HANKINSON, SUSAN E · 1989 to 2008
$11.3M
Prospective Cohort Collaborative in Pancreatic Cancer Epidemiology & PathogenesisR01CA124908 · NCI · DANA-FARBER CANCER INST · PI FUCHS, CHARLES S · 2007 to 2012
$4.3M
NCI NIH HHS P01 CA087969NCI NIH HHS P50 CA127003NCI NIH HHS R01 CA049449NCI NIH HHS R01 CA124908NCI NIH HHS UM1 CA167552NCI NIH HHS UM1 CA186107
6 · The paper itself

Abstract

High flavonoid consumption can improve vascular health. Exploring flavonoid-metabolome relationships in population-based settings is challenging, as: (i) there are numerous confounders of the flavonoid-metabolome relationship; and (ii) the set of dependent metabolite variables are inter-related, highly variable and multidimensional. The Metabolite Fingerprint Score has been developed as a means of approaching such data. This study aims to compare its performance with that of more traditional methods, in identifying the metabolomic fingerprint of high and low flavonoid consumers. This study did not aim to identify biomarkers of intake, but rather to explore how systemic metabolism differs in high and low flavonoid consumers. Using liquid chromatography-tandem MS, 174 circulating plasma metabolites were profiled in 584 men and women who had complete flavonoid intake assessment. Participants were randomised to one of two datasets: (a) training dataset, to determine the models for the discrimination variables (

Indexed as

DietEpidemiologyFlavonoidsHPFS, Health Professionals Follow-Up StudyMetabolomicsNHS, Nurses’ Health StudyPopulationQC, quality control

Identifiers

PMID29152238
PMCPMC5672306

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.