Opening a window to skin biomarkers for diabetes stage with optoacoustic mesoscopy.


Journal

Light, science & applications
ISSN: 2047-7538
Titre abrégé: Light Sci Appl
Pays: England
ID NLM: 101610753

Informations de publication

Date de publication:
18 Sep 2023
Historique:
received: 15 02 2023
accepted: 28 08 2023
revised: 10 08 2023
medline: 18 9 2023
pubmed: 18 9 2023
entrez: 17 9 2023
Statut: epublish

Résumé

Being the largest and most accessible organ of the human body, the skin could offer a window to diabetes-related complications on the microvasculature. However, skin microvasculature is typically assessed by histological analysis, which is not suited for applications to large populations or longitudinal studies. We introduce ultra-wideband raster-scan optoacoustic mesoscopy (RSOM) for precise, non-invasive assessment of diabetes-related changes in the dermal microvasculature and skin micro-anatomy, resolved with unprecedented sensitivity and detail without the need for contrast agents. Providing unique imaging contrast, we explored a possible role for RSOM as an investigational tool in diabetes healthcare and offer the first comprehensive study investigating the relationship between different diabetes complications and microvascular features in vivo. We applied RSOM to scan the pretibial area of 95 participants with diabetes mellitus and 48 age-matched volunteers without diabetes, grouped according to disease complications, and extracted six label-free optoacoustic biomarkers of human skin, including dermal microvasculature density and epidermal parameters, based on a novel image-processing pipeline. We then correlated these biomarkers to disease severity and found statistically significant effects on microvasculature parameters as a function of diabetes complications. We discuss how label-free RSOM biomarkers can lead to a quantitative assessment of the systemic effects of diabetes and its complications, complementing the qualitative assessment allowed by current clinical metrics, possibly leading to a precise scoring system that captures the gradual evolution of the disease.

Identifiants

pubmed: 37718348
doi: 10.1038/s41377-023-01275-3
pii: 10.1038/s41377-023-01275-3
pmc: PMC10505608
doi:

Types de publication

Journal Article

Langues

eng

Pagination

231

Subventions

Organisme : EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020)
ID : 687866
Organisme : EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020)
ID : 871763
Organisme : EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020)
ID : 694968
Organisme : Helmholtz-Zentrum für Umweltforschung (Helmholtz Centre for Environmental Research)
ID : Physician Scientists for Groundbreaking Projects
Organisme : Helmholtz-Zentrum für Umweltforschung (Helmholtz Centre for Environmental Research)
ID : Initiative and Networking Fund, i3 (ExNet-0022-Phase2-3)

Informations de copyright

© 2023. Changchun Institute of Optics, Fine Mechanics and Physics (CIOMP), CAS.

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Auteurs

Hailong He (H)

Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany.
Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany.

Nikolina-Alexia Fasoula (NA)

Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany.
Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany.

Angelos Karlas (A)

Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany.
Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany.
Department for Vascular and Endovascular Surgery, Klinikum rechts der Isar, Technical University of Munich (TUM), Munich, Germany.
DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany.

Murad Omar (M)

Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany.
Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany.

Juan Aguirre (J)

Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany.
Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany.

Jessica Lutz (J)

Diabetes Center at Marienplatz, Munich, Germany.
Forschergruppe Diabetes e.V., Helmholtz Zentrum München, Neuherberg, Germany.

Michael Kallmayer (M)

Department for Vascular and Endovascular Surgery, Klinikum rechts der Isar, Technical University of Munich (TUM), Munich, Germany.

Martin Füchtenbusch (M)

Diabetes Center at Marienplatz, Munich, Germany.
Forschergruppe Diabetes e.V., Helmholtz Zentrum München, Neuherberg, Germany.

Hans-Henning Eckstein (HH)

Department for Vascular and Endovascular Surgery, Klinikum rechts der Isar, Technical University of Munich (TUM), Munich, Germany.
DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany.

Annette Ziegler (A)

Forschergruppe Diabetes e.V., Helmholtz Zentrum München, Neuherberg, Germany.
Institute of Diabetes Research, Helmholtz Zentrum München, Neuherberg, Germany.

Vasilis Ntziachristos (V)

Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany. bioimaging.translatum@tum.de.
Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany. bioimaging.translatum@tum.de.
DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany. bioimaging.translatum@tum.de.

Classifications MeSH