Enabling precision monitoring of psoriasis treatment by optoacoustic mesoscopy.


Journal

Science translational medicine
ISSN: 1946-6242
Titre abrégé: Sci Transl Med
Pays: United States
ID NLM: 101505086

Informations de publication

Date de publication:
11 05 2022
Historique:
entrez: 11 5 2022
pubmed: 12 5 2022
medline: 18 5 2022
Statut: ppublish

Résumé

Psoriasis is a widespread inflammatory skin disease affecting about 2% of the general population. Recently, treatments that specifically target key proinflammatory cytokines driving the disease have been developed to complement conventional therapies with unspecific antiproliferative or anti-inflammatory effects. Efficient monitoring of treatment efficacy in the context of precision medicine and the assessment of new therapeutics require accurate noninvasive readouts of disease progression. However, characterization of psoriasis treatment remains subjective based on visual and palpatory clinical assessment of features observed on the skin surface. We hypothesized that optoacoustic (photoacoustic) mesoscopy could offer label-free assessment of inflammation biomarkers, extracted from three-dimensional (3D) high-resolution images of the human skin, not attainable by other noninvasive methods. We developed a second-generation ultra-broadband optoacoustic mesoscopy system, featuring sub-10-μm resolution and advanced motion correction technology, and performed 80 longitudinal measurements of 20 psoriatic skin plaques in humans under conventional inpatient treatment or receiving biologics with concomitant topical corticosteroid treatment. Optoacoustic image analysis revealed inflammatory and morphological skin features that indicated treatment efficacy with sensitivity, accuracy, and precision that was not possible using clinical metrics. We identify 3D imaging biomarkers that reveal responses to treatment and offer the potential to facilitate disease and treatment characterization. Our findings suggest that optoacoustic mesoscopy may offer a method of choice for yielding both qualitative and quantitative evaluations of skin treatments that are inaccessible by other methods, potentially enabling optimized therapies and precision medicine in dermatology.

Identifiants

pubmed: 35544596
doi: 10.1126/scitranslmed.abm8059
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

eabm8059

Auteurs

Benedikt Hindelang (B)

Department of Dermatology and Allergy, Technical University of Munich, 81675 Munich, Germany.
Chair of Biological Imaging, Technical University of Munich, 81675 Munich, Germany.
Institute of Biological and Medical Imaging, Helmholtz Zentrum Munich, 85764, Neuherberg, Germany.

Teresa Nau (T)

Department of Dermatology and Allergy, Technical University of Munich, 81675 Munich, Germany.
Chair of Biological Imaging, Technical University of Munich, 81675 Munich, Germany.
Institute of Biological and Medical Imaging, Helmholtz Zentrum Munich, 85764, Neuherberg, Germany.

Ludwig Englert (L)

Chair of Biological Imaging, Technical University of Munich, 81675 Munich, Germany.
Institute of Biological and Medical Imaging, Helmholtz Zentrum Munich, 85764, Neuherberg, Germany.

Andrei Berezhnoi (A)

Chair of Biological Imaging, Technical University of Munich, 81675 Munich, Germany.
Institute of Biological and Medical Imaging, Helmholtz Zentrum Munich, 85764, Neuherberg, Germany.

Felix Lauffer (F)

Department of Dermatology and Allergy, Technical University of Munich, 81675 Munich, Germany.

Ulf Darsow (U)

Department of Dermatology and Allergy, Technical University of Munich, 81675 Munich, Germany.

Tilo Biedermann (T)

Department of Dermatology and Allergy, Technical University of Munich, 81675 Munich, Germany.

Kilian Eyerich (K)

Department of Dermatology and Allergy, Technical University of Munich, 81675 Munich, Germany.

Juan Aguirre (J)

Chair of Biological Imaging, Technical University of Munich, 81675 Munich, Germany.
Institute of Biological and Medical Imaging, Helmholtz Zentrum Munich, 85764, Neuherberg, Germany.
Email: juanaguir@gmail.com

Vasilis Ntziachristos (V)

Chair of Biological Imaging, Technical University of Munich, 81675 Munich, Germany.
Institute of Biological and Medical Imaging, Helmholtz Zentrum Munich, 85764, Neuherberg, Germany.
Munich Institute of Robotics and Machine Intelligence (MIRMI), Technical University of Munich, 81675 Munich, Germany.
Email: bioimaging.translatum@tum.de

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Classifications MeSH