Evidence map›Paper›PMID 30591667›Full record

ArticleBiomolecules2018

Total Fatty Acid Analysis of Human Blood Samples in One Minute by High-Resolution Mass Spectrometry.

Sandra F Gallego, Martin Hermansson, Gerhard Liebisch, Leanne Hodson, Christer S Ejsing

Abstract read
In one paragraph

Article in Biomolecules, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Fatty acid uptake inFrontiers in cellular and infection microbiology · 2022
    Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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

5 authors.

Sandra F GallegoDepartment of Biochemistry and Molecular Biology, Villum Center for Bioanalytical Sciences, University of Southern Denmark, 5230 Odense, Denmark. sandra.fnn@gmail.com.
Martin HermanssonDepartment of Biochemistry and Molecular Biology, Villum Center for Bioanalytical Sciences, University of Southern Denmark, 5230 Odense, Denmark. martinher@bmb.sdu.dk.
Gerhard LiebischInstitute of Clinical Chemistry and Laboratory Medicine, Regensburg University Hospital, 93053 Regensburg, Germany. gerhard.liebisch@klinik.uni-regensburg.de.ORCID 0000-0003-4886-0811
Leanne HodsonOxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford and Oxford NIHR Biomedical Research Centre, Churchill Hospital, Oxford OX3 7LE, UK. leanne.hodson@ocdem.ox.ac.uk.ORCID 0000-0002-2648-6526
Christer S EjsingDepartment of Biochemistry and Molecular Biology, Villum Center for Bioanalytical Sciences, University of Southern Denmark, 5230 Odense, Denmark. cse@bmb.sdu.dk.ORCID 0000-0003-4963-0276

Funding

British Heart Foundation FS/11/18/28633British Heart Foundation FS/15/56/31645
6 · The paper itself

Abstract

Total fatty acid analysis is a routine method in many areas, including lipotyping of individuals in personalized medicine, analysis of foodstuffs, and optimization of oil production in biotechnology. This analysis is commonly done by converting fatty acyl (FA) chains of intact lipids into FA methyl esters (FAMEs) and monitoring these by gas-chromatography (GC)-based methods, typically requiring at least 15 min of analysis per sample. Here, we describe a novel method that supports fast, precise and accurate absolute quantification of total FA levels in human plasma and serum samples. The method uses acid-catalyzed transesterification with

Indexed as

Mass SpectrometryChromatography, High Pressure LiquidEstersFatty AcidsGas Chromatography-Mass SpectrometryHumansIsotope LabelingOxygen IsotopesWaterEstersFatty AcidsOxygen-18Oxygen IsotopesWaterhigh resolution mass spectrometryhuman blood plasmaOrbitrapshotgun lipidomicstotal fatty acid analysis

Identifiers

PMID30591667
PMCPMC6359376

What OpenQuestion holds

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LicenceCC BY
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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.