Non-invasive Measurement of Brown Fat Metabolism Based on Optoacoustic Imaging of Hemoglobin Gradients
Reber J, Willershaeuser M, Karlas A, Paul-Yuan K, Diot G, Franz D, Fromme T, Ovsepian SV, Beziere N, Dubikovskaya E, Karampinos DC, Holzapfel C, Hauner H, Klingenspor M, Ntziachristos V (2018)
Publication Type: Journal article
Publication year: 2018
Journal
Book Volume: 27
Pages Range: 689-701.e4
Journal Issue: 3
DOI: 10.1016/j.cmet.2018.02.002
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.
Involved external institutions
Technische Universität München (TUM)
Germany (DE)
Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt (HMGU) / Helmholtz Munich
Germany (DE)
École Polytechnique Fédérale de Lausanne (EPFL)
Switzerland (CH)
Germany (DE)
Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt (HMGU) / Helmholtz Munich
Germany (DE)
École Polytechnique Fédérale de Lausanne (EPFL)
Switzerland (CH)
How to cite
APA:
Reber, J., Willershaeuser, M., Karlas, A., Paul-Yuan, K., Diot, G., Franz, D.,... Ntziachristos, V. (2018). Non-invasive Measurement of Brown Fat Metabolism Based on Optoacoustic Imaging of Hemoglobin Gradients. Cell metabolism, 27(3), 689-701.e4. https://doi.org/10.1016/j.cmet.2018.02.002
MLA:
Reber, Josefine, et al. "Non-invasive Measurement of Brown Fat Metabolism Based on Optoacoustic Imaging of Hemoglobin Gradients." Cell metabolism 27.3 (2018): 689-701.e4.
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