Evidence map›Paper›PMID 29255046›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2018

Accurate quantification of brown adipose tissue mass by xenon-enhanced computed tomography.

Rosa T Branca, Andrew McCallister, Hong Yuan, Amir Aghajanian, James E Faber, Nicholas Weimer, Riley Buchanan, Carlos S Floyd, Michael Antonacci, Le Zhang and 1 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

26 citing papers in PubMed, 30 citations in OpenAlex.

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  16. Molecular Imaging of Brown Adipose Tissue Mass.International journal of molecular sciences · 2021
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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

11 authors at 1 institution in 1 country.

Rosa T BrancaDepartment of Physics and Astronomy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599; rtbranca@unc.edu.
Andrew McCallisterDepartment of Physics and Astronomy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599.
Hong YuanBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599.
Amir AghajanianDepartment of Cell Biology and Physiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599.
James E FaberDepartment of Cell Biology and Physiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599.
Nicholas WeimerDepartment of Physics and Astronomy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599.
Riley BuchananDepartment of Physics and Astronomy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599.
Carlos S FloydDepartment of Physics and Astronomy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599.
Michael AntonacciDepartment of Physics and Astronomy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599.ORCID 0000-0001-9363-3234
Le ZhangBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599.ORCID 0000-0003-1841-1986
Alex BurantDepartment of Physics and Astronomy, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599.
University of North Carolina at Chapel Hill · US

Funding

UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Ian Michael Carroll · 1999 to 2026
$31.6M
Sensitive and Specific detection of BAT Tissue and Activity by Magnetic Resonance with Hyperpolarized Xe-129R01DK108231 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BRANCA, ROSA TAMARA · 2015 to 2019
$1.6M
NIDDK NIH HHS P30 DK056350NIDDK NIH HHS R01 DK108231
6 · The paper itself

Abstract

Detection and quantification of brown adipose tissue (BAT) mass remains a major challenge, as current tomographic imaging techniques are either nonspecific or lack the necessary resolution to quantify BAT mass, especially in obese phenotypes, in which this tissue may be present but inactive. Here, we report quantification of BAT mass by xenon-enhanced computed tomography. We show that, during stimulation of BAT thermogenesis, the lipophilic gas xenon preferentially accumulates in BAT, leading to a radiodensity enhancement comparable to that seen in the lungs. This enhancement is mediated by a selective reduction in BAT vascular resistance, which greatly increases vascular perfusion of BAT. This enhancement enables precise identification and quantification of BAT mass not only in lean, but also in obese, mouse phenotypes, in which this tissue is invisible to conventional tomographic imaging techniques. The method is developed and validated in rodents and then applied in macaques to assess its feasibility in larger species.

Indexed as

XenonAdipose Tissue, BrownAnimalsMacacaMice, ObesePositron Emission Tomography Computed TomographyXenonbrown adipose tissuebrown adipose tissue massFDG-PETxenonxenon-enhanced CT

Identifiers

PMID29255046
PMCPMC5776810
OpenAlexW2778481154

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.