Characterization of Brown Adipose Tissue in a Diabetic Mouse Model with Spiral Volumetric Optoacoustic Tomography

Avihai Ron, Xosé Luís Deán-Ben, Josephine Reber, Vasilis Ntziachristos, Daniel Razansky

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Purpose: Diabetes 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. Procedures: A streptozotocin-induced diabetes model and control mice were scanned with SVOT. Volumetric oxygen saturation (sO2) 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. Results: Scanning revealed a 46 % decrease in TBV and a 25 % decrease in sO2 in the diabetic iBAT with respect to the healthy control. Conclusions: These 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.

Original languageEnglish
Pages (from-to)620-625
Number of pages6
JournalMolecular Imaging and Biology
Volume21
Issue number4
DOIs
StatePublished - 15 Aug 2019

Keywords

  • Adipose tissue
  • Angiopathy
  • Brown fat
  • Hemoglobin
  • Metabolism
  • Optoacoustic
  • Oxygen saturation

Fingerprint

Dive into the research topics of 'Characterization of Brown Adipose Tissue in a Diabetic Mouse Model with Spiral Volumetric Optoacoustic Tomography'. Together they form a unique fingerprint.

Cite this