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Journal of Neural Transmission
Published in: Journal of Neural Transmission 5/2018

01-05-2018 | Neurology and Preclinical Neurological Studies - Review Article

In vivo PET imaging of neuroinflammation in Alzheimer’s disease

Authors: Julien Lagarde, Marie Sarazin, Michel Bottlaender

Published in: Journal of Neural Transmission | Issue 5/2018

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Abstract

Increasing evidence suggests that neuroinflammation contributes to the pathophysiology of many neurodegenerative diseases, especially Alzheimer’s disease (AD). Molecular imaging by PET may be a useful tool to assess neuroinflammation in vivo, thus helping to decipher the complex role of inflammatory processes in the pathophysiology of neurodegenerative diseases and providing a potential means of monitoring the effect of new therapeutic approaches. For this objective, the main target of PET studies is the 18 kDa translocator protein (TSPO), as it is overexpressed by activated microglia. In the present review, we describe the most widely used PET tracers targeting the TSPO, the methodological issues in tracer quantification and summarize the results obtained by TSPO PET imaging in AD, as well as in neurodegenerative disorders associated with AD, in psychiatric disorders and ageing. We also briefly describe alternative PET targets and imaging modalities to study neuroinflammation. Lastly, we question the meaning of PET imaging data in the context of a highly complex and multifaceted role of neuroinflammation in neurodegenerative diseases. This overview leads to the conclusion that PET imaging of neuroinflammation is a promising way of deciphering the enigma of the pathophysiology of AD and of monitoring the effect of new therapies.
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Metadata
Title
In vivo PET imaging of neuroinflammation in Alzheimer’s disease
Authors
Julien Lagarde
Marie Sarazin
Michel Bottlaender
Publication date
01-05-2018
Publisher
Springer Vienna
Published in
Journal of Neural Transmission / Issue 5/2018
Print ISSN: 0300-9564
Electronic ISSN: 1435-1463
DOI
https://doi.org/10.1007/s00702-017-1731-x

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