Coherent Raman spectroscopic imaging to characterize microglia activation pathway.
CARS imaging
CNS
microglial activation
optical diagnostics
Journal
Journal of biophotonics
ISSN: 1864-0648
Titre abrégé: J Biophotonics
Pays: Germany
ID NLM: 101318567
Informations de publication
Date de publication:
05 2019
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
e201800133Subventions
Organisme : Directorate for Engineering
ID : 1718177
Pays : International
Informations de copyright
© 2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.