Evidence map›Paper›PMID 33547386›Full record

ArticleCommunications biology2021

Lipid Traffic Analysis reveals the impact of high paternal carbohydrate intake on offsprings' lipid metabolism.

Samuel Furse, Adam J Watkins, Nima Hojat, James Smith, Huw E L Williams, Davide Chiarugi, Albert Koulman

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
6.0field-weighted citation impact, top 3% of its field
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

18 citing papers in PubMed, 43 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Sterol and lipid metabolism in bees.Metabolomics : Official journal of the Metabolomic Society · 2023
    Review
  11. Article
  12. Article
  13. Lipid metabolism is dysregulated in a mouse model of diabetes.Metabolomics : Official journal of the Metabolomic Society · 2022
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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

7 authors at 3 institutions in 1 country.

Samuel FurseCore Metabolomics and Lipidomics Laboratory, Wellcome Trust-MRL Institute of Metabolic Science, University of Cambridge, Cambridge, UK. samuel@samuelfurse.com.ORCID 0000-0003-4267-2051
Adam J WatkinsDivision of Child Health, Obstetrics and Gynaecology, Faculty of Medicine, University of Nottingham, Nottingham, UK.ORCID 0000-0002-0842-1251
Nima HojatCore Metabolomics and Lipidomics Laboratory, Wellcome Trust-MRL Institute of Metabolic Science, University of Cambridge, Cambridge, UK.ORCID 0000-0002-3255-1638
James SmithSchool of Food Science & Nutrition, University of Leeds, Leeds, UK.ORCID 0000-0002-7465-6067
Huw E L WilliamsBiodiscovery Institute, University of Nottingham, Nottingham, UK.ORCID 0000-0002-2623-6287
Davide ChiarugiBioinformatics and Biostatistics Core, Wellcome Trust-MRL Institute of Metabolic Science, University of Cambridge, Cambridge, UK.ORCID 0000-0003-2752-3189
Albert KoulmanCore Metabolomics and Lipidomics Laboratory, Wellcome Trust-MRL Institute of Metabolic Science, University of Cambridge, Cambridge, UK. ak675@medschl.cam.ac.uk.ORCID 0000-0001-9998-051X
University of Cambridge · GBUniversity of Nottingham · GBUniversity of Leeds · GB

Funding

Biotechnology and Biological Sciences Research Council BB/M027252/1Biotechnology and Biological Sciences Research Council BB/M027252/2
6 · The paper itself

Abstract

In this paper we present an investigation of parental-diet-driven metabolic programming in offspring using a novel computational network analysis tool. The impact of high paternal carbohydrate intake on offsprings' phospholipid and triglyceride metabolism in F1 and F2 generations is described. Detailed lipid profiles were acquired from F1 neonate (3 weeks), F1 adult (16 weeks) and F2 neonate offspring in serum, liver, brain, heart and abdominal adipose tissues by MS and NMR. Using a purpose-built computational tool for analysing both phospholipid and fat metabolism as a network, we characterised the number, type and abundance of lipid variables in and between tissues (Lipid Traffic Analysis), finding a variety of reprogrammings associated with paternal diet. These results are important because they describe the long-term metabolic result of dietary intake by fathers. This analytical approach is important because it offers unparalleled insight into possible mechanisms for alterations in lipid metabolism throughout organisms.

Indexed as

Lipid MetabolismAnimalsAnimals, NewbornDietDietary CarbohydratesFemaleLipidsMaleMiceMice, Inbred C57BLPaternal ExposurePregnancyPrenatal Exposure Delayed EffectsTissue DistributionDietary CarbohydratesLipids

Identifiers

PMID33547386
PMCPMC7864968
OpenAlexW3120062242

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.