Evidence map›Paper›PMID 32144454›Full record

ArticleAnalytical and bioanalytical chemistry2020

A high-throughput platform for detailed lipidomic analysis of a range of mouse and human tissues.

Samuel Furse, Denise S Fernandez-Twinn, Benjamin Jenkins, Claire L Meek, Huw E L Williams, Gordon C S Smith, D Stephen Charnock-Jones, Susan E Ozanne, Albert Koulman

Abstract read
In one paragraph

Article in Analytical and bioanalytical chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Review
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  7. Sterol and lipid metabolism in bees.Metabolomics : Official journal of the Metabolomic Society · 2023
    Review
  8. Article
  9. Article
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  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Cell reports. Medicine · 2021
    Article
  18. The biosynthesis of phospholipids is linked to the cell cycle in a model eukaryote.Biochimica et biophysica acta. Molecular and cell biology of lipids · 2021
    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

9 authors.

Samuel FurseMetabolic Research Laboratories and MRC Metabolic Diseases Unit, Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Box 289, Cambridge Biomedical Campus, Hills Road, Cambridge, CB2 0QQ, UK. sf615@cam.ac.uk.ORCID http://orcid.org/0000-0003-4267-2051
Denise S Fernandez-TwinnMetabolic Research Laboratories and MRC Metabolic Diseases Unit, Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Box 289, Cambridge Biomedical Campus, Hills Road, Cambridge, CB2 0QQ, UK.
Benjamin JenkinsMetabolic Research Laboratories and MRC Metabolic Diseases Unit, Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Box 289, Cambridge Biomedical Campus, Hills Road, Cambridge, CB2 0QQ, UK.
Claire L MeekMetabolic Research Laboratories and MRC Metabolic Diseases Unit, Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Box 289, Cambridge Biomedical Campus, Hills Road, Cambridge, CB2 0QQ, UK.
Huw E L WilliamsCentre for Biomolecular Sciences, School of Chemistry, University of Nottingham, University Park, Nottingham, NG7 2RD, UK.
Gordon C S SmithDepartment of Obstetrics and Gynaecology, NIHR Cambridge Biomedical Research Centre, University of Cambridge, Cambridge, CB2 0SW, UK.
D Stephen Charnock-JonesDepartment of Obstetrics and Gynaecology, NIHR Cambridge Biomedical Research Centre, University of Cambridge, Cambridge, CB2 0SW, UK.
Susan E OzanneMetabolic Research Laboratories and MRC Metabolic Diseases Unit, Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Box 289, Cambridge Biomedical Campus, Hills Road, Cambridge, CB2 0QQ, UK.
Albert KoulmanMetabolic Research Laboratories and MRC Metabolic Diseases Unit, Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Box 289, Cambridge Biomedical Campus, Hills Road, Cambridge, CB2 0QQ, UK. ak675@medschl.cam.ac.uk.

Funding

Biotechnology and Biological Sciences Research Council BB/M027252/1British Heart Foundation RG/17/12/33167Diabetes UK 17/0005712Medical Research Council MC_UU_00014/4Medical Research Council MC_UU_12012/4
6 · The paper itself

Abstract

Lipidomics is of increasing interest in studies of biological systems. However, high-throughput data collection and processing remains non-trivial, making assessment of phenotypes difficult. We describe a platform for surveying the lipid fraction for a range of tissues. These techniques are demonstrated on a set of seven different tissues (serum, brain, heart, kidney, adipose, liver, and vastus lateralis muscle) from post-weaning mouse dams that were either obese (> 12 g fat mass) or lean (<5 g fat mass). This showed that the lipid metabolism in some tissues is affected more by obesity than others. Analysis of human serum (healthy non-pregnant women and pregnant women at 28 weeks' gestation) showed that the abundance of several phospholipids differed between groups. Human placenta from mothers with high and low BMI showed that lean placentae contain less polyunsaturated lipid. This platform offers a way to map lipid metabolism with immediate application in metabolic research and elsewhere. Graphical abstract.

Indexed as

AnimalsFemaleHumansLipidomicsLipidsMiceMice, Inbred C57BLObesityPregnancyThinnessTissue DistributionLipids31P NMRHuman developmentLipidomicsLipid profilingMass spectrometryMetabolic diseaseMouse model

Identifiers

PMID32144454
PMCPMC7196091

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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.