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Ron, A. ; Dean-Ben, X.L. ; Reber, J. ; Ntziachristos, V. ; Razansky, D.

Characterization of brown adipose tissue in a diabetic mouse model with spiral volumetric optoacoustic tomography.

Mol. Imaging Biol. 21, 620-625 (2018)

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	Open Access Green

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PurposeDiabetes is associated with a deterioration of the microvasculature in brown adipose tissue (BAT) and with a decrease in its metabolic activity. Multispectral optoacoustic tomography has been recently proposed as a new tool capable of differentiating healthy and diabetic BAT by observing hemoglobin gradients and microvasculature density in cross-sectional (2D) views. We report on the use of spiral volumetric optoacoustic tomography (SVOT) for an improved characterization of BAT.ProceduresA streptozotocin-induced diabetes model and control mice were scanned with SVOT. Volumetric oxygen saturation (sO(2)) as well as total blood volume (TBV) in the subcutaneous interscapular BAT (iBAT) was quantified. Segmentation further enabled separating feeding and draining vessels from the BAT anatomical structure.ResultsScanning revealed a 46% decrease in TBV and a 25% decrease in sO(2) in the diabetic iBAT with respect to the healthy control.ConclusionsThese results suggest that SVOT may serve as an effective tool for studying the effects of diabetes on BAT. The volumetric optoacoustic imaging probe used for the SVOT scans can be operated in a handheld mode, thus potentially providing a clinical translation route for BAT-related studies with this imaging technology.

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Publication type Article: Journal article

Document type Scientific Article

Corresponding Author

Keywords Optoacoustic ; Brown Fat ; Metabolism ; Hemoglobin ; Oxygen Saturation ; Adipose Tissue ; Angiopathy; Receptor-1

ISSN (print) / ISBN 1536-1632

e-ISSN 1860-2002

Journal Molecular Imaging and Biology

Quellenangaben Volume: 21, Issue: 4, Pages: 620-625

Publisher Elsevier

Publishing Place 233 Spring St, New York, Ny 10013 Usa

Non-patent literature Publications

Reviewing status Peer reviewed

Institute(s) Institute of Biological and Medical Imaging (IBMI)