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Cell Metab. 2018 Mar 6;27(3):689-701.e4. doi: 10.1016/j.cmet.2018.02.002.

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

Author information

1
Institute for Biological and Medical Imaging (IBMI), Helmholtz Zentrum München, Neuherberg, Germany; Chair for Biological Imaging, Technical University of Munich, Munich, Germany.
2
Chair of Molecular Nutritional Medicine, TUM School of Life Sciences, Technical University of Munich, Freising, Germany; EKFZ - Else Kröner-Fresenius Center for Nutritional Medicine, Technical University of Munich, Freising, Germany; ZIEL - Institute for Food and Health, Technical University of Munich, Freising, Germany.
3
Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany.
4
Chair of Molecular Nutritional Medicine, TUM School of Life Sciences, Technical University of Munich, Freising, Germany; EKFZ - Else Kröner-Fresenius Center for Nutritional Medicine, Technical University of Munich, Freising, Germany.
5
Department of Chemistry, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland.
6
Institute for Nutritional Medicine, School of Medicine, Technical University of Munich, Munich, Germany.
7
EKFZ - Else Kröner-Fresenius Center for Nutritional Medicine, Technical University of Munich, Freising, Germany; Institute for Nutritional Medicine, School of Medicine, Technical University of Munich, Munich, Germany.
8
Institute for Biological and Medical Imaging (IBMI), Helmholtz Zentrum München, Neuherberg, Germany; Chair for Biological Imaging, Technical University of Munich, Munich, Germany. Electronic address: v.ntziachristos@tum.de.

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.

KEYWORDS:

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

PMID:
29514074
DOI:
10.1016/j.cmet.2018.02.002

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