Evidence map›Paper›PMID 23818328›Full record

ReviewMolecular nutrition & food research2013

Nutritional lipidomics: molecular metabolism, analytics, and diagnostics.

Jennifer T Smilowitz, Angela M Zivkovic, Yu-Jui Yvonne Wan, Steve M Watkins, Malin L Nording, Bruce D Hammock, J Bruce German

Abstract readReview
In one paragraph

Review in Molecular nutrition & food research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Lipid mediators in immune regulation and resolution.British journal of pharmacology · 2019
    Review
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Jennifer T SmilowitzFoods for Health Institute, University of California, Davis, CA 95616, USA.
Angela M Zivkovic
Yu-Jui Yvonne Wan
Steve M Watkins
Malin L Nording
Bruce D Hammock
J Bruce German

Funding

Workshop on Environmental Technology Transfer and EntrepreneurshipP42ES004699 · NIEHS · UNIVERSITY OF CALIFORNIA DAVIS · PI CHIAMVIMONVAT, NIPAVAN · 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
West Coast Central Comprehensive Metabolomics Resource Core (WC3MRC)U24DK097154 · NIDDK · UNIVERSITY OF CALIFORNIA AT DAVIS · PI FIEHN, OLIVER · 2012 to 2017
$9.9M
HYDROLYTIC ENZYMES IN THE METABOLISM OF TOXINSR01ES002710 · NIEHS · UNIVERSITY OF CALIFORNIA DAVIS · PI HAMMOCK, BRUCE D · 1985 to 2018
$4.0M
Necrotizing Enterocolitis: Prevention and PredictionR01HD059127 · NICHD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI LEBRILLA, CARLITO B, MILLS, DAVID ANDREW · 2008 to 2012
$3.1M
Mechanism of Activation of Probiotic Bifidobacteria by Prebiotic Milk GlycansR01AT007079 · NCCIH · UNIVERSITY OF CALIFORNIA AT DAVIS · PI GERMAN, BRUCE, LEBRILLA, CARLITO B · 2012 to 2016
$2.2M
Structures, Functions, & Genetic Diversity of Oligosaccharides in MilkR01HD061923 · NICHD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI LEBRILLA, CARLITO B · 2009 to 2013
$1.6M
Retinoic Acid, Its Receptors, and the LiverR01DK092100 · NIDDK · UNIVERSITY OF KANSAS MEDICAL CENTER · PI WAN, YU-JUI YVONNE · 2011 to 2014
$1.4M
Glycomics Equipment: NanoLC CHIP-QTOF Mass SpectrometerS10RR027639 · NCRR · UNIVERSITY OF CALIFORNIA AT DAVIS · PI LEBRILLA, CARLITO B · 2010 to 2010
$500k
NCCIH NIH HHS R01 AT007079NCRR NIH HHS S10 RR027639NICHD NIH HHS R01 HD059127NICHD NIH HHS R01 HD061923NIDDK NIH HHS R01 DK092100NIDDK NIH HHS U24 DK097154NIEHS NIH HHS P01 ES011269NIEHS NIH HHS P01 ES11269NIEHS NIH HHS P42 ES004699NIEHS NIH HHS P42 ES011269NIEHS NIH HHS R01 ES002710
6 · The paper itself

Abstract

The field of lipidomics is providing nutritional science a more comprehensive view of lipid intermediates. Lipidomics research takes advantage of the increase in accuracy and sensitivity of mass detection of MS with new bioinformatics toolsets to characterize the structures and abundances of complex lipids. Yet, translating lipidomics to practice via nutritional interventions is still in its infancy. No single instrumentation platform is able to solve the varying analytical challenges of the different molecular lipid species. Biochemical pathways of lipid metabolism remain incomplete and the tools to map lipid compositional data to pathways are still being assembled. Biology itself is dauntingly complex and simply separating biological structures remains a key challenge to lipidomics. Nonetheless, the strategy of combining tandem analytical methods to perform the sensitive, high-throughput, quantitative, and comprehensive analysis of lipid metabolites of very large numbers of molecules is poised to drive the field forward rapidly. Among the next steps for nutrition to understand the changes in structures, compositions, and function of lipid biomolecules in response to diet is to describe their distribution within discrete functional compartments lipoproteins. Additionally, lipidomics must tackle the task of assigning the functions of lipids as signaling molecules, nutrient sensors, and intermediates of metabolic pathways.

Indexed as

Lipid MetabolismCohort StudiesDietHomeostasisHumansLipidsNutritional SciencesNutritional StatusPhenotypeRisk FactorsLipidsBile acidsLipidsMass spectrometryNutritionOxylipins

Identifiers

PMID23818328
PMCPMC3806310

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.