Evidence map›Paper›PMID 21272319›Full record

Trial reportNutrition journal2011

Cruciferous vegetable supplementation in a controlled diet study alters the serum peptidome in a GSTM1-genotype dependent manner.

Heather Ann Brauer, Tanya E Libby, Breeana L Mitchell, Lin Li, Chu Chen, Timothy W Randolph, Yutaka Y Yasui, Johanna W Lampe, Paul D Lampe

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Nutrition journal, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

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

  1. Pooled it
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  6. Review
  7. Targeted proteomic response to coffee consumption.European journal of nutrition · 2020
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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

9 authors at 3 institutions in 2 countries.

Heather Ann BrauerMolecular and Cellular Biology Program, University of Washington, Seattle, WA 98195, USA.
Tanya E Libby
Breeana L Mitchell
Lin Li
Chu Chen
Timothy W Randolph
Yutaka Y Yasui
Johanna W Lampe
Paul D Lampe
Fred Hutch Cancer Center · USUniversity of Washington · USUniversity of Alberta · CA

Funding

GLUTATHIONE TRANSFERASES IN HUMANS: DIETARY INFLUENCESR01CA070913 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI LAMPE, JOHANNA W · 1996 to 2006
$3.2M
Glucuronidation in Humans--Genotypes and PhenotypesR01CA092288 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI LAMPE, JOHANNA W · 2001 to 2004
$2.4M
Quantitative Methods for Spectral and Image Data in Proteomics ResearchR01CA126205 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI RANDOLPH, TIMOTHY W · 2006 to 2010
$1.3M
Glutathione transferases in humans: dietary influencesR56CA070913 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI LAMPE, JOHANNA W · 2009 to 2009
$549k
Identification and Validation of Breast Cancer Peptide BiomarkersF31CA126471 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BRAUER, HEATHER ANN · 2007 to 2009
$72k
NCI NIH HHS F31 CA126471NCI NIH HHS R01CA070913NCI NIH HHS R01CA126205NCI NIH HHS R01CA92288NCI NIH HHS R56 CA070913
6 · The paper itself

Abstract

backgroundCruciferous vegetable intake is inversely associated with the risk of several cancers. Isothiocyanates (ITC) are hypothesized to be the major bioactive constituents contributing to these cancer-preventive effects. The polymorphic glutathione-S-transferase (GST) gene family encodes several enzymes which catalyze ITC degradation in vivo.

methodsWe utilized high throughput proteomics methods to examine how human serum peptides (the "peptidome") change in response to cruciferous vegetable feeding in individuals of different GSTM1 genotypes. In two randomized, crossover, controlled feeding studies (EAT and 2EAT) participants consumed a fruit- and vegetable-free basal diet and the basal diet supplemented with cruciferous vegetables. Serum samples collected at the end of the feeding period were fractionated and matrix assisted laser desorption/ionization-time of flight (MALDI-TOF) mass spectrometry spectra were obtained. Peak identification/alignment computer algorithms and mixed effects models were used to analyze the data.

resultsAfter analysis of spectra from EAT participants, 24 distinct peaks showed statistically significant differences associated with cruciferous vegetable intake. Twenty of these peaks were driven by their GSTM1 genotype (i.e., GSTM1+ or GSTM1- null). When data from EAT and 2EAT participants were compared by joint processing of spectra to align a common set, 6 peaks showed consistent changes in both studies in a genotype-dependent manner. The peaks at 6700 m/z and 9565 m/z were identified as an isoform of transthyretin (TTR) and a fragment of zinc α2-glycoprotein (ZAG), respectively.

conclusionsCruciferous vegetable intake in GSTM1+ individuals led to changes in circulating levels of several peptides/proteins, including TTR and a fragment of ZAG. TTR is a known marker of nutritional status and ZAG is an adipokine that plays a role in lipid mobilization. The results of this study present evidence that the GSTM1-genotype modulates the physiological response to cruciferous vegetable intake.

Indexed as

DietAdultalpha-2-HS-GlycoproteinBlood ProteinsBrassicaceaeCross-Over StudiesFemaleGenotypeGlutathione TransferaseHumansIsothiocyanatesLinear ModelsMalePeptidesPrealbuminRisk FactorsAHSG protein, humanalpha-2-HS-GlycoproteinBlood ProteinsGlutathione TransferaseIsothiocyanatesisothiocyanic acidPeptidesPrealbumin

Identifiers

PMID21272319
PMCPMC3042379
OpenAlexW2133007946

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.