Evidence map›Paper›PMID 30453585›Full record

ReviewBiomolecules2018

Analytical Considerations of Stable Isotope Labelling in Lipidomics.

Alexander Triebl, Markus R Wenk

Abstract readReview
In one paragraph

Review in Biomolecules, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Synthetic Lipid Biology.Chemical reviews · 2025
    Review
  6. Production ofFrontiers in bioengineering and biotechnology · 2025
    Article
  7. Tracing de novo Lipids using Stable Isotope Labeling LC-TIMS-TOF MS/MS.Journal of visualized experiments : JoVE · 2024
    Article
  8. Integrating the analysis of human biopsies using post-translational modifications proteomics.Protein science : a publication of the Protein Society · 2024
    Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Review
  15. Review
  16. Article
  17. Review
  18. 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

2 authors.

Alexander TrieblDepartment of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore; Singapore 117596, Singapore. alexander.triebl@nus.edu.sg.ORCID 0000-0001-8423-8224
Markus R WenkDepartment of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore; Singapore 117596, Singapore. bchmrw@nus.edu.sg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the last two decades, lipids have come to be understood as far more than merely components of cellular membranes and forms of energy storage, and are now also being implicated to play important roles in a variety of diseases, with lipid biomarker research one of the most widespread applications of lipidomic techniques both in research and in clinical settings. Stable isotope labelling has become a staple technique in the analysis of small molecule metabolism and dynamics, as it is the only experimental setup by which biosynthesis, remodelling and degradation of biomolecules can be directly measured. Using state-of-the-art analytical technologies such as chromatography-coupled high resolution tandem mass spectrometry, the stable isotope label can be precisely localized and quantified within the biomolecules. The application of stable isotope labelling to lipidomics is however complicated by the diversity of lipids and the complexity of the necessary data analysis. This article discusses key experimental aspects of stable isotope labelling in the field of mass spectrometry-based lipidomics, summarizes current applications and provides an outlook on future developments and potential.

Indexed as

BiomarkersHumansIsotope LabelingLipid MetabolismLipidsTandem Mass SpectrometryBiomarkersLipidsflux analysislipidomicsmass spectrometrystable isotope labelling

Identifiers

PMID30453585
PMCPMC6315579

What OpenQuestion holds

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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.