Evidence map›Paper›PMID 27845688›Full record

ArticleJournal of lipid research2017

Differentiating brown and white adipose tissues by high-resolution diffusion NMR spectroscopy.

Sanjay Kumar Verma, Kaz Nagashima, Jadegoud Yaligar, Navin Michael, Swee Shean Lee, Tian Xianfeng, Venkatesh Gopalan, Suresh Anand Sadananthan, Rengaraj Anantharaj, S Sendhil Velan

Open access · hybridAbstract read
In one paragraph

Article in Journal of lipid research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

11 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Quantification of brown adipose tissueQuantitative imaging in medicine and surgery · 2022
    Article
  6. Review
  7. Obesity subtypes, related biomarkers & heterogeneity.The Indian journal of medical research · 2020
    Review
  8. Article
  9. The role of adipose tissue in cardiovascular health and disease.Nature reviews. Cardiology · 2019 · on this map
    Review
  10. Article
  11. Potential Application ofScientific reports · 2017
    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

10 authors at 3 institutions in 1 country.

Sanjay Kumar VermaLaboratory of Molecular Imaging, Singapore Bioimaging Consortium, Agency for Science Technology and Research (A*STAR), Singapore.
Kaz NagashimaLaboratory of Molecular Imaging, Singapore Bioimaging Consortium, Agency for Science Technology and Research (A*STAR), Singapore.
Jadegoud YaligarLaboratory of Molecular Imaging, Singapore Bioimaging Consortium, Agency for Science Technology and Research (A*STAR), Singapore.
Navin MichaelSingapore Institute for Clinical Sciences, Agency for Science Technology and Research (A*STAR), Singapore.
Swee Shean LeeLaboratory of Molecular Imaging, Singapore Bioimaging Consortium, Agency for Science Technology and Research (A*STAR), Singapore.
Tian XianfengLaboratory of Molecular Imaging, Singapore Bioimaging Consortium, Agency for Science Technology and Research (A*STAR), Singapore.
Venkatesh GopalanLaboratory of Molecular Imaging, Singapore Bioimaging Consortium, Agency for Science Technology and Research (A*STAR), Singapore.
Suresh Anand SadananthanSingapore Institute for Clinical Sciences, Agency for Science Technology and Research (A*STAR), Singapore.
Rengaraj AnantharajLaboratory of Molecular Imaging, Singapore Bioimaging Consortium, Agency for Science Technology and Research (A*STAR), Singapore.
S Sendhil VelanLaboratory of Molecular Imaging, Singapore Bioimaging Consortium, Agency for Science Technology and Research (A*STAR), Singapore sendhil_velan@sbic.a-star.edu.sg.
Agency for Science, Technology and Research · SGSingapore Bioimaging Consortium · SGSingapore Institute for Clinical Sciences · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are two types of fat tissues, white adipose tissue (WAT) and brown adipose tissue (BAT), which essentially perform opposite functions in whole body energy metabolism. There is a large interest in identifying novel biophysical properties of WAT and BAT by a quantitative and easy-to-run technique. In this work, we used high-resolution pulsed field gradient diffusion NMR spectroscopy to study the apparent diffusion coefficient (ADC) of fat molecules in rat BAT and WAT samples. The ADC of fat in BAT and WAT from rats fed with a chow diet was compared with that of rats fed with a high-fat diet to monitor how the diffusion properties change due to obesity-associated parameters such as lipid droplet size, fatty acid chain length, and saturation. Feeding a high-fat diet resulted in increased saturation, increased chain lengths, and reduced ADC of fat in WAT. The ADC of fat was lower in BAT relative to WAT in rats fed both chow and high-fat diets. Diffusion of fat was restricted in BAT due to the presence of small multilocular lipid droplets. Our findings indicate that in vivo diffusion might be a potential way for better delineation of BAT and WAT in both lean and obese states.

Indexed as

Adipose Tissue, BrownAdipose Tissue, WhiteAnimalsDiet, High-FatEnergy MetabolismHumansMagnetic Resonance SpectroscopyObesityRatsadipose tissuebrown adipose tissuediffusion spectroscopyfathigh-fat dietlipid dropletmagnetic resonancewhite adipose tissue

Identifiers

PMID27845688
PMCPMC5234707
OpenAlexW2555312286

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.