Evidence map›Paper›PMID 25904735›Full record

ArticleThe Journal of nutrition2015

Urinary Excretion of Select Dietary Polyphenol Metabolites Is Associated with a Lower Risk of Type 2 Diabetes in Proximate but Not Remote Follow-Up in a Prospective Investigation in 2 Cohorts of US Women.

Qi Sun, Nicole M Wedick, Shelley S Tworoger, An Pan, Mary K Townsend, Aedin Cassidy, Adrian A Franke, Eric B Rimm, Frank B Hu, Rob M van Dam

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of nutrition, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
6.4field-weighted citation impact, top 3% 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.

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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.

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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

10 authors at 6 institutions in 4 countries.

Qi SunChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Departments of Nutrition and qisun@hsph.harvard.edu.
Nicole M WedickDivision of Preventive and Behavioral Medicine, Department of Medicine, University of Massachusetts Medical School, Worcester, MA;
Shelley S TworogerChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Departments of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA;
An PanDepartment of Epidemiology and Biostatistics, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Hubei, China;
Mary K TownsendChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Departments of.
Aedin CassidyDepartment of Nutrition, Norwich Medical School, University of East Anglia, Norwich, Norfolk, United Kingdom; and.
Adrian A FrankeUniversity of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI.
Eric B RimmChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Departments of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA;
Frank B HuChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Departments of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA;
Rob M van DamNutrition and Saw Swee Hock School of Public Health and Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore;
Brigham and Women's Hospital · USHarvard University · USHuazhong University of Science and Technology · CNUniversity of East Anglia · GBUniversity of Hawaiʻi at Mānoa · USUniversity of Massachusetts Chan Medical School · US

Funding

Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI TWOROGER, SHELLEY S · 2000 to 2019
$77.8M
University of Hawaii Cancer Center CCSGP30CA071789 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI Xin Chen · 1996 to 2026
$56.2M
Risk Factors for Breast Cancer in Younger NursesR01CA050385 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI ELIASSEN, A. HEATHER, WILLETT, WALTER C. · 1989 to 2019
$32.3M
Transgenic CoreP30DK046200 · NIDDK · TUFTS MEDICAL CENTER · PI GREENBERG, ANDREW S, PERISSI, VALENTINA · 1992 to 2021
$25.0M
Premonopausal Hormone Levels and Risk of Breast CancerR01CA067262 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI HANKINSON, SUSAN E · 2002 to 2011
$11.9M
BIOCHEMICAL MARKERS IN THE NURSES'HEALTH STUDY COHORTR01CA049449 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI HANKINSON, SUSAN E · 1989 to 2008
$11.3M
Sleep Duration, Childhood Energy Balance, and Insulin Resistance in AdolescenceU54CA155626 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI HU, FRANK B · 2011 to 2015
$9.6M
BIOCHEMICAL AND GENETIC MARKERS OF TYPE 2 DIABETES RISKR01DK058845 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI HU, FRANK B · 2001 to 2013
$7.8M
BIOCHEMICAL MARKERS IN THE NURSES HEALTH STUDY COHORTU01CA049449 · NCI · UNIVERSITY OF MASSACHUSETTS AMHERST · PI HANKINSON, SUSAN E · 1995 to 2013
$5.4M
Role of Leptin in the Neuroendocrine Response to FastingR01DK058785 · NIDDK · BETH ISRAEL DEACONESS MEDICAL CENTER · PI MANTZOROS, CHRISTOS S · 2001 to 2011
$4.0M
PREMENOPAUSAL HORMONE LEVELS AND RISK OF BREAST CANCERU01CA067262 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI WILLETT, WALTER C. · 1996 to 2001
$1.1M
Dietary Polyphenols, Urinary Biomarkers & Risk of Type 2 DiabetesR01DK082486 · NIDDK · HARVARD SCHOOL OF PUBLIC HEALTH · PI SUN, QI · 2009 to 2011
$1.1M
NCI NIH HHS CA49449NCI NIH HHS CA50385NCI NIH HHS CA67262NCI NIH HHS CA87969NCI NIH HHS P01 CA087969NCI NIH HHS P30 CA71789NCI NIH HHS U54 CA155626NHLBI NIH HHS R00 HL098459NHLBI NIH HHS R00HL098459NIDDK NIH HHS DK082486NIDDK NIH HHS DK58785NIDDK NIH HHS DK58845NIDDK NIH HHS P30 DK046200NIDDK NIH HHS P30 DK46200NIDDK NIH HHS R01 DK058785NIDDK NIH HHS R01 DK058845NIDDK NIH HHS R01 DK082486
6 · The paper itself

Abstract

backgroundPolyphenols are phytochemicals that possess antioxidant and anti-inflammatory properties and improve glucose metabolism in animal experiments, although data from prospective epidemiologic studies examining polyphenol intakes in relation to type 2 diabetes (T2D) risk are inconsistent.

objectivesWe examined urinary excretion of select flavonoid and phenolic acid metabolites, as biomarkers of intake, in relation to T2D risk.

methodsEight polyphenol metabolites (naringenin, hesperetin, quercetin, isorhamnetin, catechin, epicatechin, caffeic acid, and ferulic acid) were quantified in spot urine samples by liquid chromatography/mass spectrometry among 1111 T2D case-control pairs selected from the Nurses' Health Study (NHS) and NHSII.

resultsHigher urinary excretion of hesperetin was associated with a lower T2D risk after multivariate adjustment: the OR comparing top vs. bottom quartiles was 0.68 (95% CI: 0.49, 0.96), although a linear trend was lacking (P = 0.30). The other measured polyphenols were not significantly associated with T2D risk after multivariate adjustment. However, during the early follow-up period [≤ 4.6 y (median) since urine sample collection], markers of flavanone intakes (naringenin and hesperetin) and flavonol intakes (quercetin and isorhamnetin) were significantly associated with a lower T2D risk. The ORs (95% CIs) comparing extreme quartiles were 0.61 (0.39, 0.98; P-trend: 0.03) for total flavanones and 0.55 (0.33, 0.92; P-trend: 0.04) for total flavonols (P-interaction with follow-up length: ≤ 0.04). An inverse association was also observed for caffeic acid during early follow-up only: the OR was 0.52 (95% CI: 0.32, 0.84; P-trend: 0.03). None of these markers was associated with T2D risk during later follow-up. Metabolites of flavan-3-ols and ferulic acid were not associated with T2D risk in either period.

conclusionsThese results suggest that specific flavonoid subclasses, including flavanones and flavonols, as well as caffeic acid, are associated with a lower T2D risk in relatively short-term follow-up but not during longer follow-up. Substantial within-person variability of the metabolites in single spot urine samples may limit the ability to capture associations with long-term disease risk.

Indexed as

AdultAgedAged, 80 and overCaffeic AcidsCase-Control StudiesCatechinCoumaric AcidsDiabetes Mellitus, Type 2FemaleFlavanonesFollow-Up StudiesHesperidinHumansHydroxybenzoatesMiddle AgedNutrition Assessment3-methylquercetincaffeic acidCaffeic AcidsCatechinCoumaric Acidsferulic acidflavanoneFlavanoneshesperetinHesperidinHydroxybenzoatesnaringeninphenolic acidPolyphenolsQuercetindiabetesnutritionpolyphenolurinary biomarkerwomen

Identifiers

PMID25904735
PMCPMC4442116
OpenAlexW1996728981

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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.