Evidence map›Paper›PMID 33219392›Full record

Trial reportMetabolomics : Official journal of the Metabolomic Society2020

Plasma lipidomic profiles after a low and high glycemic load dietary pattern in a randomized controlled crossover feeding study.

Sepideh Dibay Moghadam, Sandi L Navarro, Ali Shojaie, Timothy W Randolph, Lisa F Bettcher, Cynthia B Le, Meredith A Hullar, Mario Kratz, Marian L Neuhouser, Paul D Lampe and 2 more

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Metabolomics : Official journal of the Metabolomic Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00622661 (A Feeding Study to Examine the Effect of Glycemic Load and Obesity on Cancer Biomarkers), which is not on this 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.

NCT00622661 nacompletednot on this map

A Feeding Study to Examine the Effect of Glycemic Load and Obesity on Cancer Biomarkers

TypeinterventionalSponsorFred Hutchinson Cancer CenterRan2006 to 2010Enrolled89ConditionsHealthy, OverweightArmsLow Glycemic Load Diet, High Glycemic Load Diet
3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  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

12 authors.

Sepideh Dibay MoghadamDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N, Seattle, WA, USA.ORCID http://orcid.org/0000-0001-6793-4586
Sandi L NavarroDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N, Seattle, WA, USA.
Ali ShojaieDepartment of Biostatistics, University of Washington, Seattle, WA, USA.
Timothy W RandolphDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N, Seattle, WA, USA.
Lisa F BettcherDepartment of Anesthesiology and Pain Medicine, Northwest Metabolomics Research Center, University of Washington, Seattle, WA, USA.
Cynthia B LeDepartment of Anesthesiology and Pain Medicine, Northwest Metabolomics Research Center, University of Washington, Seattle, WA, USA.
Meredith A HullarDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N, Seattle, WA, USA.
Mario KratzDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N, Seattle, WA, USA.
Marian L NeuhouserDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N, Seattle, WA, USA.
Paul D LampeDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N, Seattle, WA, USA.
Daniel RafteryDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N, Seattle, WA, USA.
Johanna W LampeDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N, Seattle, WA, USA. jlampe@fredhutch.org.

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Eric Collisson · 1985 to 2026
$296.4M
Preventing obesity in low income working adultsU54CA116847 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI MCTIERNAN, ANNE M. · 2005 to 2010
$12.6M
Developing Data-Driven Cancer ResearchersT32CA009168 · NCI · UNIVERSITY OF WASHINGTON · PI STEPHEN M SCHWARTZ, MICHAEL Chiao-An WU · 1985 to 2026
$10.1M
Human and Bacterial Molecular Pathways in Cancer Risk: Modulation by DietR01CA192222 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI LAMPE, JOHANNA W · 2016 to 2019
$2.9M
Machine Learning Tools for Discovery and Analysis of Active Metabolic PathwaysR01GM114029 · NIGMS · UNIVERSITY OF WASHINGTON · PI SHOJAIE, ALI · 2016 to 2020
$1.7M
Multiplexed UPLC-MS/MS System for Advanced Target MetabolomicsS10OD021562 · OD · UNIVERSITY OF WASHINGTON · PI RAFTERY, DANIEL · 2016 to 2016
$596k
NCI NIH HHS P30 CA015704NCI NIH HHS R01 CA192222NCI NIH HHS T32 CA009168NCI NIH HHS U54 CA116847NIGMS NIH HHS R01 GM114029NIH HHS S10 OD021562
6 · The paper itself

Abstract

backgroundDietary patterns low in glycemic load are associated with reduced risk of cardiometabolic diseases. Improvements in serum lipid concentrations may play a role in these observed associations.

objectiveWe investigated how dietary patterns differing in glycemic load affect clinical lipid panel measures and plasma lipidomics profiles.

methodsIn a crossover, controlled feeding study, 80 healthy participants (n = 40 men, n = 40 women), 18-45 y were randomized to receive low-glycemic load (LGL) or high glycemic load (HGL) diets for 28 days each with at least a 28-day washout period between controlled diets. Fasting plasma samples were collected at baseline and end of each diet period. Lipids on a clinical panel including total-, VLDL-, LDL-, and HDL-cholesterol and triglycerides were measured using an auto-analyzer. Lipidomics analysis using mass-spectrometry provided the concentrations of 863 species. Linear mixed models and lipid ontology enrichment analysis were implemented.

resultsLipids from the clinical panel were not significantly different between diets. Univariate analysis showed that 67 species on the lipidomics panel, predominantly in the triacylglycerol class, were higher after the LGL diet compared to the HGL (FDR < 0.05). Three species with FA 17:0 were lower after LGL diet with enrichment analysis (FDR < 0.05).

conclusionIn the context of controlled eucaloric diets with similar macronutrient distribution, these results suggest that there are relative shifts in lipid species, but the overall pool does not change. Further studies are needed to better understand in which compartment the different lipid species are transported in blood, and how these shifts are related to health outcomes. This trial was registered at clinicaltrials.gov as NCT00622661.

Indexed as

DietFeeding BehaviorGlycemic LoadLipidomicsAdolescentAdultFemaleHumansLipidsMaleMass SpectrometryMiddle AgedYoung AdultLipidsDietary patternHigh glycemic loadLow glycemic loadRandomized crossover feeding studyTargeted lipidomics

Identifiers

PMID33219392
PMCPMC8116047

What OpenQuestion holds

Textmetadata
LicenceTDM
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.