Evidence map›Paper›PMID 20442800›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2009

Assessing individual metabolic responsiveness to a lipid challenge using a targeted metabolomic approach.

Angela M Zivkovic, Michelle M Wiest, Uyenthao Nguyen, Malin L Nording, Steven M Watkins, J Bruce German

Open access · greenAbstract read
In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

27 citing papers in PubMed, 64 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Review
  4. Article
  5. Characterizing human postprandial metabolic response using multiway data analysis.Metabolomics : Official journal of the Metabolomic Society · 2024
    Article
  6. Review
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  17. Metabolome and fecal microbiota in monozygotic twin pairs discordant for weight: a Big Mac challenge.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2014
    Article
  18. The future of yogurt: scientific and regulatory needs.The American journal of clinical nutrition · 2014
    Article
  19. Article
  20. Review
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

6 authors at 2 institutions in 2 countries.

Angela M ZivkovicDepartment of Food Science and Technology, University of California, 1 Shields Avenue, Davis, CA 95616, USA.
Michelle M Wiest
Uyenthao Nguyen
Malin L Nording
Steven M Watkins
J Bruce German
University of California, Davis · USNestlé (Switzerland) · CH

Funding

Workshop on Environmental Technology Transfer and EntrepreneurshipP42ES004699 · NIEHS · UNIVERSITY OF CALIFORNIA DAVIS · PI HAMMOCK, BRUCE D · 1987 to 2021
$50.1M
UC Davis Center for Children's Environmental Health (CCEH)P01ES011269 · NIEHS · UNIVERSITY OF CALIFORNIA DAVIS · PI VAN DE WATER, JUDY A. · 2001 to 2018
$12.5M
HYDROLYTIC ENZYMES IN THE METABOLISM OF TOXINSR37ES002710 · NIEHS · UNIVERSITY OF CALIFORNIA DAVIS · PI HAMMOCK, BRUCE D · 1998 to 2007
$3.0M
NIEHS NIH HHS P01 ES011269NIEHS NIH HHS P42 ES004699NIEHS NIH HHS R37 ES002710
6 · The paper itself

Abstract

The development of assessment techniques with immediate clinical applicability is a priority for resolving the growing epidemic in metabolic disease. Many imbalances in diet-dependent metabolism are not detectable in the fasted state. Resolving the high inter-individual variability in response to diet requires the development of techniques that can detect metabolic dysfunction at the level of the individual. The intra- and inter-individual variation in lipid metabolism in response to a standardized test meal was determined. Following an overnight fast on three different days, three healthy subjects consumed a test meal containing 40% of their daily calories. Plasma samples were collected at fasting, and 1, 3, 6, and 8 h after the test meal. Plasma fatty acid (FA) concentrations within separated lipid classes and lipoprotein fractions were measured at each time point. The intra-individual variation within each subject across three days was lower than the inter-individual differences among the three subjects for over 50% of metabolites in the triacylglycerol (TG), FA, and phosphatidylcholine (PC) lipid classes at 6 h, and for 25-50% of metabolites across lipid classes at 0, 1, 3, and 8 h. The consistency of response within individuals was visualized by principal component analysis (PCA) and confirmed by ANOVA. Three representative metabolites that discriminated among the three individuals in the apolipoprotein B (ApoB) fraction, TG16:1n7, TG18:2n6, and PC18:3n3, are discussed in detail. The postprandial responses of individuals were unique within metabolites that were individual discriminators (ID) of metabolic phenotype. This study shows that the targeted metabolomic measurement of individual metabolic phenotype in response to a specially formulated lipid challenge is possible even without lead-in periods, dietary and lifestyle control, or intervention over a 3-month period in healthy free-living individuals.

Identifiers

PMID20442800
PMCPMC2862503
OpenAlexW2008412692

What OpenQuestion holds

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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.