Evidence map›Paper›PMID 25409862›Full record

ReviewJournal of inherited metabolic disease2015

Principles and practice of lipidomics.

Frédéric M Vaz, Mia Pras-Raves, Albert H Bootsma, Antoine H C van Kampen

Abstract readReview
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In one paragraph

Review in Journal of inherited metabolic disease, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Alterations of Autophagy Modify Lipids in Epidermal Keratinocytes.Clinical, cosmetic and investigational dermatology · 2023
    Article
  9. Review
  10. Article
  11. Review
  12. [Significance of lipidomics in liver fibrosis].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2021
    Article
  13. Article
  14. Article
  15. Is the clinical lipidomics a potential goldmine?Cell biology and toxicology · 2018
    Review
  16. Plasma lipidomics as a diagnostic tool for peroxisomal disorders.Journal of inherited metabolic disease · 2018
    Article
  17. The role of the clinician in the multi-omics era: are you ready?Journal of inherited metabolic disease · 2018
    Article
  18. Article
  19. Article
  20. 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

4 authors.

Frédéric M VazLaboratory Genetic Metabolic Disease (F0-224), Departments of Clinical Chemistry and Pediatrics, University of Amsterdam, Academic Medical Center (AMC), Amsterdam, 1105 AZ, The Netherlands, f.m.vaz@amc.nl.
Mia Pras-Raves
Albert H Bootsma
Antoine H C van Kampen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The technical advances in mass spectrometry, particularly the development of (ultra)-high-resolution/mass accuracy measurement capabilities in combination with refinement of soft ionization techniques, have increased the application and success of lipidomics to answer biological questions in relation to lipid metabolism. Together with other omics technologies, lipidomics has become an important tool to practice systems biology as lipids comprise a very significant part of the metabolome and play pleiotropic roles in cellular functions. As an increasing number of disorders are linked to lipid metabolism, lipidomics is used to search for biomarkers, understand disease mechanism and follow the efficacy of therapeutic options. This review provides a first introduction to the major methodological strategies currently used for mass spectrometry-based lipidomics and associated data pre-processing and analysis.

Indexed as

Lipid MetabolismMetabolomicsBiomarkersChromatographyComputational BiologyHumansLipidsMass SpectrometryMetabolomeReproducibility of ResultsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationSystems BiologyBiomarkersLipids

Identifiers

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Registered trials

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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.