Evidence map›Paper›PMID 39246063›Full record

ArticleMolecular omics2024

Systemic analysis of lipid metabolism from individuals to multi-organism systems.

Samuel Furse, Carlos Martel, David F Willer, Daniel Stabler, Denise S Fernandez-Twinn, Jennifer Scott, Ryan Patterson-Cross, Adam J Watkins, Samuel Virtue, Thomas A K Prescott and 12 more

Abstract read
In one paragraph

Article in Molecular omics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

22 authors.

Samuel FurseRoyal Botanic Gardens, Kew, Kew Green, Richmond, Surrey, TW9 3AE, UK. s.furse@kew.org.ORCID http://orcid.org/0000-0003-4267-2051
Carlos MartelRoyal Botanic Gardens, Kew, Kew Green, Richmond, Surrey, TW9 3AE, UK. s.furse@kew.org.ORCID http://orcid.org/0000-0001-9892-1999
David F WillerDepartment of Zoology, The David Attenborough Centre, University of Cambridge, Corn Exchange St., Cambridge, CB2 3QZ, UK.ORCID http://orcid.org/0000-0002-9010-8503
Daniel StablerDepartment of Zoology, University of Oxford, Oxford, OX1 3SZ, UK.ORCID http://orcid.org/0000-0003-3702-1545
Denise S Fernandez-TwinnWellcome-MRC Institute of Metabolic Science and Medical Research Council Metabolic Diseases Unit, University of Cambridge, Keith Day Road, Cambridge, CB2 0QQ, UK.ORCID http://orcid.org/0000-0003-2610-277X
Jennifer ScottDepartment of Zoology, University of Oxford, Oxford, OX1 3SZ, UK.
Ryan Patterson-CrossBioinformatics Core, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Addenbrooke's Treatment Centre, Keith Day Road, Cambridge, CB2 0QQ, UK.
Adam J WatkinsLifespan and Population Health, School of Medicine, University of Nottingham, Nottingham, NG7 2UH, UK.ORCID http://orcid.org/0000-0002-0842-1251
Samuel VirtueWellcome-MRC Institute of Metabolic Science and Medical Research Council Metabolic Diseases Unit, University of Cambridge, Keith Day Road, Cambridge, CB2 0QQ, UK.ORCID http://orcid.org/0000-0002-9545-5432
Thomas A K PrescottRoyal Botanic Gardens, Kew, Kew Green, Richmond, Surrey, TW9 3AE, UK. s.furse@kew.org.ORCID http://orcid.org/0000-0002-3039-7067
Ellen BakerDepartment of Zoology, University of Oxford, Oxford, OX1 3SZ, UK.ORCID http://orcid.org/0000-0002-5470-958X
Jennifer ChennellsDepartment of Zoology, University of Oxford, Oxford, OX1 3SZ, UK.ORCID http://orcid.org/0000-0002-3876-6461
Antonio Vidal-PuigWellcome-MRC Institute of Metabolic Science and Medical Research Council Metabolic Diseases Unit, University of Cambridge, Keith Day Road, Cambridge, CB2 0QQ, UK.
Susan E OzanneWellcome-MRC Institute of Metabolic Science and Medical Research Council Metabolic Diseases Unit, University of Cambridge, Keith Day Road, Cambridge, CB2 0QQ, UK.ORCID http://orcid.org/0000-0001-8753-5144
Geoffrey C KiteRoyal Botanic Gardens, Kew, Kew Green, Richmond, Surrey, TW9 3AE, UK. s.furse@kew.org.ORCID http://orcid.org/0000-0003-4482-0409
Milada VítováInstitute of Botany, Czech Academy of Sciences, Department of Phycology, Dukelská 135, 379 01 Třeboň, Czech Republic.ORCID http://orcid.org/0000-0002-0552-3295
Davide ChiarugiBioinformatics Core, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Addenbrooke's Treatment Centre, Keith Day Road, Cambridge, CB2 0QQ, UK.
John MoncurSpectralWorks Limited, The Heath Business and Technical Park, Runcorn, Cheshire, WA7 4EB, UK.ORCID http://orcid.org/0009-0004-9136-0470
Albert KoulmanCore Metabolomics and Lipidomics Laboratory, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Addenbrooke's Treatment Centre, Keith Day Road, Cambridge, CB2 0QQ, UK.ORCID http://orcid.org/0000-0001-9998-051X
Geraldine A WrightDepartment of Zoology, University of Oxford, Oxford, OX1 3SZ, UK.ORCID http://orcid.org/0000-0002-2749-021X
Stuart G SnowdenDepartment of Biological Sciences, Royal Holloway College, University of London, Egham, Surrey, TW20 0EX, UK.ORCID http://orcid.org/0000-0002-9419-5819
Philip C StevensonRoyal Botanic Gardens, Kew, Kew Green, Richmond, Surrey, TW9 3AE, UK. s.furse@kew.org.ORCID http://orcid.org/0000-0002-0736-3619

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lipid metabolism is recognised as being central to growth, disease and health. Lipids, therefore, have an important place in current research on globally significant topics such as food security and biodiversity loss. However, answering questions in these important fields of research requires not only identification and measurement of lipids in a wider variety of sample types than ever before, but also hypothesis-driven analysis of the resulting 'big data'. We present a novel pipeline that can collect data from a wide range of biological sample types, taking 1 000 000 lipid measurements per 384 well plate, and analyse the data systemically. We provide evidence of the power of the tool through proof-of-principle studies using edible fish (mackerel, bream, seabass) and colonies of

Indexed as

Lipid MetabolismLipidomicsAnimalsBeesEcosystemFishesLipidsLipids

Identifiers

PMID39246063
PMCPMC11381968

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.