Non-invasive Measurement of Brown Fat Metabolism Based on Optoacoustic Imaging of Hemoglobin Gradients

Josefine Reber, Monja Willershäuser, Angelos Karlas, Korbinian Paul-Yuan, Gael Diot, Daniela Franz, Tobias Fromme, Saak V. Ovsepian, Nicolas Bézière, Elena Dubikovskaya, Dimitrios C. Karampinos, Christina Holzapfel, Hans Hauner, Martin Klingenspor, Vasilis Ntziachristos

Research output: Contribution to journalArticlepeer-review

114 Scopus citations

Abstract

Metabolism is a fundamental process of life. However, non-invasive measurement of local tissue metabolism is limited today by a deficiency in adequate tools for in vivo observations. We designed a multi-modular platform that explored the relation between local tissue oxygen consumption, determined by label-free optoacoustic measurements of hemoglobin, and concurrent indirect calorimetry obtained during metabolic activation of brown adipose tissue (BAT). By studying mice and humans, we show how video-rate handheld multi-spectral optoacoustic tomography (MSOT) in the 700–970 nm spectral range enables non-invasive imaging of BAT activation, consistent with positron emission tomography findings. Moreover, we observe BAT composition differences between healthy and diabetic tissues. The study consolidates hemoglobin as a principal label-free biomarker for longitudinal non-invasive imaging of BAT morphology and bioenergetics in situ. We also resolve water and fat components in volunteers, and contrast MSOT readouts with magnetic resonance imaging data. Reber et al. employed label-free multi-spectral optoacoustic tomography to non-invasively image BAT and WAT in mice and humans and resolve BAT activation based on hemoglobin gradients. The 700–970 nm spectral range further enabled identification of BAT composition using lipid and water signatures.

Original languageEnglish
Pages (from-to)689-701.e4
JournalCell Metabolism
Volume27
Issue number3
DOIs
StatePublished - 6 Mar 2018

Keywords

  • MSOT
  • blood oxygenation
  • brown adipose tissue
  • indirect calorimetry
  • magnetic resonance imaging
  • metabolic imaging
  • multispectral imaging
  • optoacoustic, photoacoustic
  • positron emission tomography

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