1.Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany
2.Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, Germany
3.Department for Vascular and Endovascular Surgery, Klinikum rechts der Isar, Technical University of Munich (TUM), Munich, Germany
4.DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany
5.Diabetes Center at Marienplatz, Munich, Germany
6.Forschergruppe Diabetes e.V., Helmholtz Zentrum München, Neuherberg, Germany
7.Institute of Diabetes Research, Helmholtz Zentrum München, Neuherberg, Germany
Vasilis Ntziachristos (bioimaging.translatum@tum.de)
纸质出版日期:2023-11-30,
网络出版日期:2023-09-18,
收稿日期:2023-02-15,
修回日期:2023-08-10,
录用日期:2023-08-28
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Opening a window to skin biomarkers for diabetes stage with optoacoustic mesoscopy[J]. LSA, 2023,12(11):2335-2349.
He, H. L. et al. Opening a window to skin biomarkers for diabetes stage with optoacoustic mesoscopy. Light: Science & Applications, 12, 2335-2349 (2023).
Opening a window to skin biomarkers for diabetes stage with optoacoustic mesoscopy[J]. LSA, 2023,12(11):2335-2349. DOI: 10.1038/s41377-023-01275-3.
He, H. L. et al. Opening a window to skin biomarkers for diabetes stage with optoacoustic mesoscopy. Light: Science & Applications, 12, 2335-2349 (2023). DOI: 10.1038/s41377-023-01275-3.
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.
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