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Surface enhanced Raman spectroscopy-detection of the uptake of mannose-modified nanoparticles by macrophages in vitro : A model for detection of vulnerable atherosclerotic plaques

Title data

Dugandžić, Vera ; Drikermann, Denis ; Ryabchykov, Oleg ; Undisz, Andreas ; Vilotijević, Ivan ; Lorkowski, Stefan ; Bocklitz, Thomas ; Matthäus, Christian ; Weber, Karina ; Cialla-May, Dana ; Popp, Jürgen:
Surface enhanced Raman spectroscopy-detection of the uptake of mannose-modified nanoparticles by macrophages in vitro : A model for detection of vulnerable atherosclerotic plaques.
In: Journal of Biophotonics. Vol. 11 (2018) Issue 12 . - e201800013.
ISSN 1864-0648
DOI: https://doi.org/10.1002/jbio.201800013

Abstract in another language

Atherosclerosis is a process of thickening and stiffening of the arterial walls through the accumulation of lipids and fibrotic material, as a consequence of aging and unhealthy life style. However, not all arterial plaques lead to complications, which can lead to life-threatening events such as stroke and myocardial infarction. Diagnosis of the disease in early stages and identification of unstable atherosclerotic plaques are still challenging. It has been shown that the development of atherosclerotic plaques is an inflammatory process, where the accumulation of macrophages in the arterial walls is immanent in the early as well as late stages of the disease. We present a novel surface enhanced Raman spectroscopy (SERS)-based strategy for the detection of early stage atherosclerosis, based on the uptake of tagged gold nanoparticles by macrophages and subsequent detection by means of SERS. The results presented here provide a basis for future in vivo studies in animal models.The workflow of tracing the SERS-active nanoparticle uptake by macrophages employing confocal Raman imaging.

Further data

Item Type: Article in a journal
Refereed: Yes
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Lehrstuhl Künstliche Intelligenz in der Mikroskopie und Spektroskopie > Lehrstuhl Künstliche Intelligenz in der Mikroskopie und Spektroskopie - Univ.-Prof. Dr. Thomas Wilhelm Bocklitz
Result of work at the UBT: No
DDC Subjects: 500 Science > 530 Physics
Date Deposited: 19 May 2023 09:12
Last Modified: 19 May 2023 09:12
URI: https://eref.uni-bayreuth.de/id/eprint/76302