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Huang, S. ; Blutke, A. ; Feuchtinger, A. ; Klemm, U.* ; Zachariah Tom, R. ; Hofmann, S.M. ; Stiel, A.C.* ; Ntziachristos, V.

Functional multispectral optoacoustic tomography imaging of hepatic steatosis development in mice.

EMBO Mol. Med. 13:e13490 (2021)
Verlagsversion DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
The increasing worldwide prevalence of obesity, fatty liver diseases and the emerging understanding of the important roles lipids play in various other diseases is generating significant interest in lipid research. Lipid visualization in particular can play a critical role in understanding functional relations in lipid metabolism. We investigated the potential of multispectral optoacoustic tomography (MSOT) as a novel modality to non-invasively visualize lipids in laboratory mice around the 930nm spectral range. Using an obesity-induced non-alcoholic fatty liver disease (NAFLD) mouse model, we examined whether MSOT could detect and differentiate different grades of hepatic steatosis and monitor the accumulation of lipids in the liver quantitatively over time, without the use of contrast agents, i.e. in label-free mode. Moreover, we demonstrate the efficacy of using the real-time clearance kinetics of indocyanine green (ICG) in the liver, monitored by MSOT, as a biomarker to evaluate the organ’s function and assess the severity of NAFLD. This study establishes MSOT as an efficient imaging tool for lipid visualization in preclinical studies, particularly for the assessment of NAFLD.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Biomarker ; Icg ; Lipid Metabolism ; Nafld ; Optoacoustic Imaging; Indocyanine Green Clearance; Liver Fat; In-vivo; Nafld
Sprache englisch
Veröffentlichungsjahr 2021
HGF-Berichtsjahr 2021
ISSN (print) / ISBN 1757-4676
e-ISSN 1757-4684
Zeitschrift EMBO Molecular Medicine
Quellenangaben Band: 13, Heft: 9, Seiten: , Artikelnummer: e13490 Supplement: ,
Verlag Wiley
Verlagsort Chichester
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Biological and Medical Imaging (IBMI)
Institute of Experimental Genetics (IEG)
CF Pathology & Tissue Analytics (CF-PTA)
Research Unit Analytical Pathology (AAP)
Institute of Diabetes and Regeneration Research (IDR)
POF Topic(s) 30205 - Bioengineering and Digital Health
30201 - Metabolic Health
30505 - New Technologies for Biomedical Discoveries
Forschungsfeld(er) Enabling and Novel Technologies
Genetics and Epidemiology
Helmholtz Diabetes Center
PSP-Element(e) G-505500-001
G-500600-001
A-630600-001
G-500390-001
G-502390-001
Förderungen Projekt DEAL
Helmholtz-Gemeinschaft Deutscher Forschungszentren (HGF)/ExNet project "Innovative Intelligent Imaging" (i3-Helmholtz)
European Research Council (ERC) under the European Union
Deutsche Forschungsgemeinschaft (DFG), Germany
DOI 10.15252/emmm.202013490
WOS ID WOS:000686278800001
Scopus ID 85112829520
PubMed ID 34411447
Erfassungsdatum 2021-09-21
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