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      TSPO imaging in animal models of brain diseases

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          Abstract

          Over the last 30 years, the 18-kDa TSPO protein has been considered as the PET imaging biomarker of reference to measure increased neuroinflammation. Generally assumed to image activated microglia, TSPO has also been detected in endothelial cells and activated astrocytes. Here, we provide an exhaustive overview of the recent literature on the TSPO-PET imaging (i) in the search and development of new TSPO tracers and (ii) in the understanding of acute and chronic neuroinflammation in animal models of neurological disorders. Generally, studies testing new TSPO radiotracers against the prototypic [ 11C]-R-PK11195 or more recent competitors use models of acute focal neuroinflammation (e.g. stroke or lipopolysaccharide injection). These studies have led to the development of over 60 new tracers during the last 15 years. These studies highlighted that interpretation of TSPO-PET is easier in acute models of focal lesions, whereas in chronic models with lower or diffuse microglial activation, such as models of Alzheimer’s disease or Parkinson’s disease, TSPO quantification for detection of neuroinflammation is more challenging, mirroring what is observed in clinic. Moreover, technical limitations of preclinical scanners provide a drawback when studying modest neuroinflammation in small brains (e.g. in mice). Overall, this review underlines the value of TSPO imaging to study the time course or response to treatment of neuroinflammation in acute or chronic models of diseases. As such, TSPO remains the gold standard biomarker reference for neuroinflammation, waiting for new radioligands for other, more specific targets for neuroinflammatory processes and/or immune cells to emerge.

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          Neurotoxic reactive astrocytes are induced by activated microglia

          A reactive astrocyte subtype termed A1 is induced after injury or disease of the central nervous system and subsequently promotes the death of neurons and oligodendrocytes.
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            Systemic LPS causes chronic neuroinflammation and progressive neurodegeneration.

            Inflammation is implicated in the progressive nature of neurodegenerative diseases, such as Parkinson's disease, but the mechanisms are poorly understood. A single systemic lipopolysaccharide (LPS, 5 mg/kg, i.p.) or tumor necrosis factor alpha (TNFalpha, 0.25 mg/kg, i.p.) injection was administered in adult wild-type mice and in mice lacking TNFalpha receptors (TNF R1/R2(-/-)) to discern the mechanisms of inflammation transfer from the periphery to the brain and the neurodegenerative consequences. Systemic LPS administration resulted in rapid brain TNFalpha increase that remained elevated for 10 months, while peripheral TNFalpha (serum and liver) had subsided by 9 h (serum) and 1 week (liver). Systemic TNFalpha and LPS administration activated microglia and increased expression of brain pro-inflammatory factors (i.e., TNFalpha, MCP-1, IL-1beta, and NF-kappaB p65) in wild-type mice, but not in TNF R1/R2(-/-) mice. Further, LPS reduced the number of tyrosine hydroxylase-immunoreactive neurons in the substantia nigra (SN) by 23% at 7-months post-treatment, which progressed to 47% at 10 months. Together, these data demonstrate that through TNFalpha, peripheral inflammation in adult animals can: (1) activate brain microglia to produce chronically elevated pro-inflammatory factors; (2) induce delayed and progressive loss of DA neurons in the SN. These findings provide valuable insight into the potential pathogenesis and self-propelling nature of Parkinson's disease. (c) 2007 Wiley-Liss, Inc.
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              Epidemiology of Parkinson's disease

              The causes of Parkinson's disease (PD), the second most common neurodegenerative disorder, are still largely unknown. Current thinking is that major gene mutations cause only a small proportion of all cases and that in most cases, non-genetic factors play a part, probably in interaction with susceptibility genes. Numerous epidemiological studies have been done to identify such non-genetic risk factors, but most were small and methodologically limited. Larger, well-designed prospective cohort studies have only recently reached a stage at which they have enough incident patients and person-years of follow-up to investigate possible risk factors and their interactions. In this article, we review what is known about the prevalence, incidence, risk factors, and prognosis of PD from epidemiological studies.
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                Author and article information

                Contributors
                herve.boutin@manchester.ac.uk
                Journal
                Eur J Nucl Med Mol Imaging
                Eur J Nucl Med Mol Imaging
                European Journal of Nuclear Medicine and Molecular Imaging
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                1619-7070
                1619-7089
                10 July 2021
                10 July 2021
                2021
                : 49
                : 1
                : 77-109
                Affiliations
                [1 ]GRID grid.457349.8, ISNI 0000 0004 0623 0579, Université Paris-Saclay, CEA, CNRS, MIRCen, Laboratoire des Maladies Neurodégénératives, ; 92265 Fontenay-aux-Roses, France
                [2 ]GRID grid.47100.32, ISNI 0000000419368710, Department of Psychiatry, , Yale School of Medicine, ; New Haven, CT USA
                [3 ]GRID grid.47100.32, ISNI 0000000419368710, Department of Radiology & Biomedical Imaging, , Yale School of Medicine, ; New Haven, CT USA
                [4 ]Department of Biomedical Engineering, Yale School of Engineering & Applied Science, New Haven, CT USA
                [5 ]GRID grid.5379.8, ISNI 0000000121662407, Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Brain and Mental Health, , University of Manchester, ; M13 9PL, Manchester, UK
                [6 ]GRID grid.5379.8, ISNI 0000000121662407, Wolfson Molecular Imaging Centre, , University of Manchester, ; 27 Palatine Road, M20 3LJ Manchester, UK
                [7 ]GRID grid.5379.8, ISNI 0000000121662407, Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, , Northern Care Alliance & University of Manchester, ; Manchester, UK
                Author information
                https://orcid.org/0000-0002-2261-7314
                https://orcid.org/0000-0002-5240-4686
                https://orcid.org/0000-0002-8105-1381
                http://orcid.org/0000-0002-0029-5246
                Article
                5379
                10.1007/s00259-021-05379-z
                8712305
                34245328
                e75ac6f9-ae8f-416e-ac9f-32897ecb647e
                © The Author(s) 2021

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 1 March 2021
                : 25 April 2021
                Categories
                Review Article
                Custom metadata
                © Springer-Verlag GmbH Germany, part of Springer Nature 2022

                Radiology & Imaging
                translocator protein 18 kda,neuroinflammation,alzheimer’s disease,parkinson’s disease,stroke,multiple sclerosis,positron emission tomography

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