Evidence map›Paper›PMID 26527483›Full record

ArticleMagnetic resonance in medicine2016

Hepatic fat fraction and visceral adipose tissue fatty acid composition in mice: Quantification with 7.0T MRI.

Benjamin Leporq, Simon A Lambert, Maxime Ronot, Imane Boucenna, Pierre Colinart, Francois Cauchy, Valerie Vilgrain, Valerie Paradis, Bernard E Van Beers

Registry-linked trialOpen access · hybridAbstract read
PubMed Publisher
In one paragraph

Article in Magnetic resonance in medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07178145 (MRI of Epicardial Adipose Tissue Composition), which is not on this map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.8field-weighted citation impact, top 7% 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.

NCT07178145 phase4recruitingstarted 2025, after this paper: background citation

MRI of Epicardial Adipose Tissue Composition: Development of Methods and Application to Heart Failure With Preserved Ejection Fraction

Ran2025Enrolled192Registered outcomes6Posted comparisons0ConditionsEpicardial Adipose Tissue, Heart Failure Preserved Ejection FractionArmsGLP-1RA
Open the trial in the graph
3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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 at 6 institutions in 2 countries.

Benjamin LeporqLaboratory of Imaging Biomarkers, Center of Research on Inflammation, UMR1149 INSERM-University Paris Diderot, Sorbonne Paris Cité, Paris, France.
Simon A LambertLaboratory of Imaging Biomarkers, Center of Research on Inflammation, UMR1149 INSERM-University Paris Diderot, Sorbonne Paris Cité, Paris, France.
Maxime RonotLaboratory of Imaging Biomarkers, Center of Research on Inflammation, UMR1149 INSERM-University Paris Diderot, Sorbonne Paris Cité, Paris, France.
Imane BoucennaMatière et Systèmes Complexes, UMR 7057 CNRS-University Paris Diderot, Sorbonne Paris Cité, Paris, France.
Pierre ColinartMatière et Systèmes Complexes, UMR 7057 CNRS-University Paris Diderot, Sorbonne Paris Cité, Paris, France.
Francois CauchyDepartment of HPB and liver transplantation, Beaujon University Hospital Paris Nord, Clichy, France.
Valerie VilgrainLaboratory of Imaging Biomarkers, Center of Research on Inflammation, UMR1149 INSERM-University Paris Diderot, Sorbonne Paris Cité, Paris, France.
Valerie ParadisDepartment of Pathology, Beaujon University Hospital Paris Nord, Clichy, France.
Bernard E Van BeersLaboratory of Imaging Biomarkers, Center of Research on Inflammation, UMR1149 INSERM-University Paris Diderot, Sorbonne Paris Cité, Paris, France.
Hôpital Beaujon · FRSorbonne Paris Cité · FRCentre National de la Recherche Scientifique · FRInserm · FRSt Thomas' Hospital · GBUniversité Paris Cité · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo develop an MRI method for quantifying hepatic fat content and visceral adipose tissue fatty acid composition in mice on a 7.0T preclinical system.

methodsMR acquisitions were performed with a multiple echo spoiled gradient echo with bipolar readout gradients. After phase correction, the number of double bounds (ndb) and the number of methylene interrupted double bounds (nmidb) were quantified with a model including eight fat components, and parametric maps of saturated, monounsaturated, and polyunsaturated fatty acids were derived. The model included a complex error map to correct for the phase errors and the amplitude modulation caused by the bipolar acquisition. Validations were performed in fat-water emulsions and vegetable oils. In vivo, the feasibility was evaluated in mice receiving a high-fat diet containing primarily saturated fatty acids and a low-fat diet containing primarily unsaturated fatty acids.

resultsLinear regressions showed strong agreements between ndb and nmidb quantified with MRI and the theoretical values calculated using oil compositions, as well as between the proton density and the fat fractions in the emulsions. At MRI, the mouse liver fat fraction was smaller in mice fed the low-fat diet compared with mice fed the high-fat diet. In visceral adipose tissue, saturated fatty acids were significantly higher, whereas monounsaturated and polyunsaturated fatty acids were significantly lower in mice fed the low-fat diet compared with mice fed the high-fat diet.

conclusionIt is feasible to simultaneously quantify hepatic fat content and visceral adipose tissue fatty acid composition with 7.0T MRI in mice. Magn Reson Med 76:510-518, 2016. © 2015 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine. This is an open access article under the terms of the Creative Commons Attribution NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

Indexed as

AdiposityAnimalsFatty AcidsFeasibility StudiesFemaleImage Interpretation, Computer-AssistedIntra-Abdominal FatLiverMagnetic Resonance ImagingMagnetic Resonance SpectroscopyMiceMice, NudeMolecular ImagingReproducibility of ResultsSensitivity and SpecificityFatty Acidsfatty acid compositionfat-water separationMRI

Identifiers

PMID26527483
OpenAlexW1916805986

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.