Coherent Raman spectroscopic imaging to characterize microglia activation pathway.


Journal

Journal of biophotonics
ISSN: 1864-0648
Titre abrégé: J Biophotonics
Pays: Germany
ID NLM: 101318567

Informations de publication

Date de publication:
05 2019
Historique:
received: 13 04 2018
revised: 20 08 2018
accepted: 22 08 2018
pubmed: 25 8 2018
medline: 25 8 2020
entrez: 25 8 2018
Statut: ppublish

Résumé

Microglia are immune cells, which densely populate the central nervous system (CNS), and play essential role in suppression of neurodegenerative diseases, clearance of debris after CNS trauma, as well as serve as the last line of immune defense in response to any potential threat by being activated to eliminate diverse pathogens ranging from bacteria to cancer. The activated microglia cells are commonly used as a diagnostic biomarker of diverse brain conditions, however detection and classification of microglia activated phenotypes is a cumbersome and imprecise procedure. Here, we report on development of optical assay for detection and quantitative analysis of activated microglia. In this study, we investigated overall changes in the metabolism of microglia cells during their activation by monitoring the signal from cellular proteins and lipids using label-free coherent anti-Stokes Raman scattering imaging. Our data demonstrate that the activation of microglia in the presence of bacterial liposaccharide is accompanied by intense upregulation of synthesis of proteins and lipids. We further propose that elevated intracellular content of these types of macromolecules can serve as early supplementary marker for identification of active microglia cells in the brain samples by Raman imaging techniques.

Identifiants

pubmed: 30141272
doi: 10.1002/jbio.201800133
doi:

Substances chimiques

Biomarkers 0

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

e201800133

Subventions

Organisme : Directorate for Engineering
ID : 1718177
Pays : International

Informations de copyright

© 2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Auteurs

Chinmayee V P Dessai (CVP)

Department of Electrical Engineering, University at Buffalo SUNY, Buffalo, New York.

Artem Pliss (A)

Institute of Lasers, Photonics and Biophotonics, University at Buffalo SUNY, Buffalo, New York.

Andrey N Kuzmin (AN)

Institute of Lasers, Photonics and Biophotonics, University at Buffalo SUNY, Buffalo, New York.

Edward P Furlani (EP)

Department of Electrical Engineering, University at Buffalo SUNY, Buffalo, New York.
Institute of Lasers, Photonics and Biophotonics, University at Buffalo SUNY, Buffalo, New York.
Department of Chemical and Biological Engineering, University at Buffalo SUNY, Buffalo, New York.

Paras N Prasad (PN)

Institute of Lasers, Photonics and Biophotonics, University at Buffalo SUNY, Buffalo, New York.
Department of Chemistry, University at Buffalo SUNY, Buffalo, New York.

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Classifications MeSH