Evidence map›Paper›PMID 25143463›Full record

ArticleJournal of lipid research2014

High-resolution imaging of dietary lipids in cells and tissues by NanoSIMS analysis.

Haibo Jiang, Chris N Goulbourne, Angelica Tatar, Kirsten Turlo, Daniel Wu, Anne P Beigneux, Chris R M Grovenor, Loren G Fong, Stephen G Young

Open access · hybridAbstract read
In one paragraph

Article in Journal of lipid research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
2.3field-weighted citation impact, top 13% 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

29 citing papers in PubMed, 55 citations in OpenAlex.

  1. Review
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  10. A protein of capillary endothelial cells, GPIHBP1, is crucial for plasma triglyceride metabolism.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  11. Review
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  15. Peroxidasin-mediated bromine enrichment of basement membranes.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  16. Article
  17. Images in Lipid Research.Journal of lipid research · 2020
    Article
  18. Article
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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

9 authors at 2 institutions in 2 countries.

Haibo JiangMaterials Department, Oxford University, Oxford, United Kingdom.
Chris N GoulbourneDepartments of Medicine University of California, Los Angeles, Los Angeles, CA.
Angelica TatarDepartments of Medicine University of California, Los Angeles, Los Angeles, CA.
Kirsten TurloDepartments of Medicine University of California, Los Angeles, Los Angeles, CA.
Daniel WuDepartments of Medicine University of California, Los Angeles, Los Angeles, CA.
Anne P BeigneuxDepartments of Medicine University of California, Los Angeles, Los Angeles, CA.
Chris R M GrovenorMaterials Department, Oxford University, Oxford, United Kingdom.
Loren G FongDepartments of Medicine University of California, Los Angeles, Los Angeles, CA.
Stephen G YoungDepartments of Medicine University of California, Los Angeles, Los Angeles, CA Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA.
University of California, Los Angeles · USUniversity of Oxford · GB

Funding

The Lipin Protein Family and Triglyceride Metabolism P01HL090553 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI YOUNG, STEPHEN G. · 2008 to 2018
$23.3M
Refining Physiologic Mechanisms for Intravascular Triglyceride MetabolismR01HL087228 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BEIGNEUX, ANNE, FONG, LOREN GI · 2007 to 2024
$7.8M
New Avenues in GPIHBP1 ResearchR01HL094732 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BEIGNEUX, ANNE · 2009 to 2012
$1.8M
NHLBI NIH HHS HL087228NHLBI NIH HHS HL090553NHLBI NIH HHS HL094732NHLBI NIH HHS P01 HL090553NHLBI NIH HHS R01 HL087228NHLBI NIH HHS R01 HL094732
6 · The paper itself

Abstract

Nanoscale secondary ion MS (NanoSIMS) imaging makes it possible to visualize stable isotope-labeled lipids in cells and tissues at 50 nm lateral resolution. Here we report the use of NanoSIMS imaging to visualize lipids in mouse cells and tissues. After administering stable isotope-labeled fatty acids to mice by gavage, NanoSIMS imaging allowed us to visualize neutral lipids in cytosolic lipid droplets in intestinal enterocytes, chylomicrons at the basolateral surface of enterocytes, and lipid droplets in cardiomyocytes and adipocytes. After an injection of stable isotope-enriched triglyceride-rich lipoproteins (TRLs), NanoSIMS imaging documented delivery of lipids to cytosolic lipid droplets in parenchymal cells. Using a combination of backscattered electron (BSE) and NanoSIMS imaging, it was possible to correlate the chemical data provided by NanoSIMS with high-resolution BSE images of cell morphology. This combined imaging approach allowed us to visualize stable isotope-enriched TRLs along the luminal face of heart capillaries and the lipids within heart capillary endothelial cells. We also observed examples of TRLs within the subendothelial spaces of heart capillaries. NanoSIMS imaging provided evidence of defective transport of lipids from the plasma LPs to adipocytes and cardiomyocytes in mice deficient in glycosylphosphatidylinositol-anchored HDL binding protein 1.

Indexed as

AdipocytesAnimalsCytosolDietary FatsEndothelial CellsLipoproteinsMiceMice, KnockoutMolecular ImagingMyocytes, CardiacTriglyceridesDietary FatsLipoproteinsTriglyceridesbackscattered electron imagingchylomicronsglycosylphosphatidylinositol-anchored HDL binding protein 1nanoscale secondary ion mass spectrometry imagingtriglyceride-rich lipoproteins

Identifiers

PMID25143463
PMCPMC4174007
OpenAlexW1967508609

What OpenQuestion holds

Textmetadata
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.