Non-invasive quantification of white and brown adipose tissues and liver fat content by computed tomography in mice.

<h4>Objectives</h4>Obesity and its distribution pattern are important factors for the prediction of the onset of diabetes in humans. Since several mouse models are suitable to study the pathophysiology of type 2 diabetes the aim was to validate a novel computed tomograph model (Aloka-Hit...

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Autores principales:	Marko Lubura, Deike Hesse, Nancy Neumann, Stephan Scherneck, Petra Wiedmer, Annette Schürmann
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/d4628d9bc87545e3bfc005ed7ad4f047
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spelling	oai:doaj.org-article:d4628d9bc87545e3bfc005ed7ad4f0472021-11-18T07:18:31ZNon-invasive quantification of white and brown adipose tissues and liver fat content by computed tomography in mice.1932-620310.1371/journal.pone.0037026https://doaj.org/article/d4628d9bc87545e3bfc005ed7ad4f0472012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22615880/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Objectives</h4>Obesity and its distribution pattern are important factors for the prediction of the onset of diabetes in humans. Since several mouse models are suitable to study the pathophysiology of type 2 diabetes the aim was to validate a novel computed tomograph model (Aloka-Hitachi LCT-200) for the quantification of visceral, subcutaneous, brown and intrahepatic fat depots in mice.<h4>Methods</h4>Different lean and obese mouse models (C57BL/6, B6.V-Lep(ob), NZO) were used to determine the most adequate scanning parameters for the detection of the different fat depots. The data were compared with those obtained after preparation and weighing the fat depots. Liver fat content was determined by biochemical analysis.<h4>Results</h4>The correlations between weights of fat tissues on scale and weights determined by CT were significant for subcutaneous (r(2) = 0.995), visceral (r(2) = 0.990) and total white adipose tissue (r(2) = 0.992). Moreover, scans in the abdominal region, between lumbar vertebrae L4 to L5 correlated with whole-body fat distribution allowing experimenters to reduce scanning time and animal exposure to radiation and anesthesia. Test-retest reliability and measurements conducted by different experimenters showed a high reproducibility in the obtained results. Intrahepatic fat content estimated by CT was linearly related to biochemical analysis (r(2) = 0.915). Furthermore, brown fat mass correlated well with weighted brown fat depots (r(2) = 0.952). In addition, short-term cold-expose (4 °C, 4 hours) led to alterations in brown adipose tissue attributed to a reduction in triglyceride content that can be visualized as an increase in Hounsfield units by CT imaging.<h4>Conclusion</h4>The 3D imaging of fat by CT provides reliable results in the quantification of total, visceral, subcutaneous, brown and intrahepatic fat in mice. This non-invasive method allows the conduction of longitudinal studies of obesity in mice and therefore enables experimenters to investigate the onset of complex diseases such as diabetes and obesity.Marko LuburaDeike HesseNancy NeumannStephan ScherneckPetra WiedmerAnnette SchürmannPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 5, p e37026 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Marko Lubura Deike Hesse Nancy Neumann Stephan Scherneck Petra Wiedmer Annette Schürmann Non-invasive quantification of white and brown adipose tissues and liver fat content by computed tomography in mice.
description	<h4>Objectives</h4>Obesity and its distribution pattern are important factors for the prediction of the onset of diabetes in humans. Since several mouse models are suitable to study the pathophysiology of type 2 diabetes the aim was to validate a novel computed tomograph model (Aloka-Hitachi LCT-200) for the quantification of visceral, subcutaneous, brown and intrahepatic fat depots in mice.<h4>Methods</h4>Different lean and obese mouse models (C57BL/6, B6.V-Lep(ob), NZO) were used to determine the most adequate scanning parameters for the detection of the different fat depots. The data were compared with those obtained after preparation and weighing the fat depots. Liver fat content was determined by biochemical analysis.<h4>Results</h4>The correlations between weights of fat tissues on scale and weights determined by CT were significant for subcutaneous (r(2) = 0.995), visceral (r(2) = 0.990) and total white adipose tissue (r(2) = 0.992). Moreover, scans in the abdominal region, between lumbar vertebrae L4 to L5 correlated with whole-body fat distribution allowing experimenters to reduce scanning time and animal exposure to radiation and anesthesia. Test-retest reliability and measurements conducted by different experimenters showed a high reproducibility in the obtained results. Intrahepatic fat content estimated by CT was linearly related to biochemical analysis (r(2) = 0.915). Furthermore, brown fat mass correlated well with weighted brown fat depots (r(2) = 0.952). In addition, short-term cold-expose (4 °C, 4 hours) led to alterations in brown adipose tissue attributed to a reduction in triglyceride content that can be visualized as an increase in Hounsfield units by CT imaging.<h4>Conclusion</h4>The 3D imaging of fat by CT provides reliable results in the quantification of total, visceral, subcutaneous, brown and intrahepatic fat in mice. This non-invasive method allows the conduction of longitudinal studies of obesity in mice and therefore enables experimenters to investigate the onset of complex diseases such as diabetes and obesity.
format	article
author	Marko Lubura Deike Hesse Nancy Neumann Stephan Scherneck Petra Wiedmer Annette Schürmann
author_facet	Marko Lubura Deike Hesse Nancy Neumann Stephan Scherneck Petra Wiedmer Annette Schürmann
author_sort	Marko Lubura
title	Non-invasive quantification of white and brown adipose tissues and liver fat content by computed tomography in mice.
title_short	Non-invasive quantification of white and brown adipose tissues and liver fat content by computed tomography in mice.
title_full	Non-invasive quantification of white and brown adipose tissues and liver fat content by computed tomography in mice.
title_fullStr	Non-invasive quantification of white and brown adipose tissues and liver fat content by computed tomography in mice.
title_full_unstemmed	Non-invasive quantification of white and brown adipose tissues and liver fat content by computed tomography in mice.
title_sort	non-invasive quantification of white and brown adipose tissues and liver fat content by computed tomography in mice.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/d4628d9bc87545e3bfc005ed7ad4f047
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Non-invasive quantification of white and brown adipose tissues and liver fat content by computed tomography in mice.

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