Evidence map›Paper›PMID 28415015›Full record

ArticleJournal of chromatography. B, Analytical technologies in the biomedical and life sciences2017

Lipidomics by ultrahigh performance liquid chromatography-high resolution mass spectrometry and its application to complex biological samples.

Alexander Triebl, Martin Trötzmüller, Jürgen Hartler, Tatjana Stojakovic, Harald C Köfeler

Abstract read
In one paragraph

Article in Journal of chromatography. B, Analytical technologies in the biomedical and life sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

52 citing papers in PubMed.

  1. Article
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  5. Review
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  7. Review
  8. Organ-resolved lipid mapping inFrontiers in chemistry · 2025
    Article
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  14. Review
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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

5 authors.

Alexander TrieblCore Facility for Mass Spectrometry, Center for Medical Research, Medical University of Graz, Stiftingtalstrasse 24, 8010 Graz, Austria.
Martin TrötzmüllerCore Facility for Mass Spectrometry, Center for Medical Research, Medical University of Graz, Stiftingtalstrasse 24, 8010 Graz, Austria. Electronic address: martin.troetzmueller@medunigraz.at.
Jürgen HartlerInstitute of Computational Biotechnology, Graz University of Technology, Petersgasse 14, 8010 Graz, Austria.
Tatjana StojakovicClinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Auenbruggerplatz 15, 8036 Graz, Austria.
Harald C KöfelerCore Facility for Mass Spectrometry, Center for Medical Research, Medical University of Graz, Stiftingtalstrasse 24, 8010 Graz, Austria; Omics Center Graz, Stiftingtalstrasse 24, 8010 Graz, Austria.

Funding

Austrian Science Fund FWF P 26148
6 · The paper itself

Abstract

An improved approach for selective and sensitive identification and quantitation of lipid molecular species using reversed phase chromatography coupled to high resolution mass spectrometry was developed. The method is applicable to a wide variety of biological matrices using a simple liquid-liquid extraction procedure. Together, this approach combines multiple selectivity criteria: Reversed phase chromatography separates lipids according to their acyl chain length and degree of unsaturation and is capable of resolving positional isomers of lysophospholipids, as well as structural isomers of diacyl phospholipids and glycerolipids. Orbitrap mass spectrometry delivers the elemental composition of both positive and negative ions with high mass accuracy. Finally, automatically generated tandem mass spectra provide structural insight into numerous glycerolipids, phospholipids, and sphingolipids within a single run. Calibration showed linearity ranges of more than four orders of magnitude, good values for accuracy and precision at biologically relevant concentration levels, and limits of quantitation of a few femtomoles on column. Hundreds of lipid molecular species were detected and quantified in three different biological matrices, which cover well the wide variety and complexity of various model organisms in lipidomic research. Together with a software package, this method is a prime choice for global lipidomic analysis of even the most complex biological samples.

Indexed as

AnimalsCaenorhabditis elegansCell Line, TumorChromatography, High Pressure LiquidChromatography, Reverse-PhaseHumansIsomerismLipidsLiquid-Liquid ExtractionMass SpectrometryMetabolomicsMiceLipidsHigh performance liquid chromatographyHigh-resolution mass spectrometryLipid structural isomersQuantitative lipidomics

Identifiers

PMID28415015
PMCPMC6013032

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.