Cargando…

Identification of brain regions predicting epileptogenesis by serial [(18)F]GE-180 positron emission tomography imaging of neuroinflammation in a rat model of temporal lobe epilepsy

Excessive activation of inflammatory signaling pathways seems to be a hallmark of epileptogenesis. Positron emission tomography (PET) allows in vivo detection of brain inflammation with spatial information and opportunities for longitudinal follow-up scanning protocols. Here, we assessed whether mol...

Descripción completa

Detalles Bibliográficos
Autores principales: Russmann, Vera, Brendel, Matthias, Mille, Erik, Helm-Vicidomini, Angela, Beck, Roswitha, Günther, Lisa, Lindner, Simon, Rominger, Axel, Keck, Michael, Salvamoser, Josephine D., Albert, Nathalie L., Bartenstein, Peter, Potschka, Heidrun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5403805/
https://www.ncbi.nlm.nih.gov/pubmed/28462087
http://dx.doi.org/10.1016/j.nicl.2017.04.003
_version_ 1783231456607207424
author Russmann, Vera
Brendel, Matthias
Mille, Erik
Helm-Vicidomini, Angela
Beck, Roswitha
Günther, Lisa
Lindner, Simon
Rominger, Axel
Keck, Michael
Salvamoser, Josephine D.
Albert, Nathalie L.
Bartenstein, Peter
Potschka, Heidrun
author_facet Russmann, Vera
Brendel, Matthias
Mille, Erik
Helm-Vicidomini, Angela
Beck, Roswitha
Günther, Lisa
Lindner, Simon
Rominger, Axel
Keck, Michael
Salvamoser, Josephine D.
Albert, Nathalie L.
Bartenstein, Peter
Potschka, Heidrun
author_sort Russmann, Vera
collection PubMed
description Excessive activation of inflammatory signaling pathways seems to be a hallmark of epileptogenesis. Positron emission tomography (PET) allows in vivo detection of brain inflammation with spatial information and opportunities for longitudinal follow-up scanning protocols. Here, we assessed whether molecular imaging of the 18 kDa translocator protein (TSPO) can serve as a biomarker for the development of epilepsy. Therefore, brain uptake of [(18)F]GE-180, a highly selective radioligand of TSPO, was investigated in a longitudinal PET study in a chronic rat model of temporal lobe epilepsy. Analyses revealed that the influence of the epileptogenic insult on [(18)F]GE-180 brain uptake was most pronounced in the earlier phase of epileptogenesis. Differences were evident in various brain regions during earlier phases of epileptogenesis with [(18)F]GE-180 standardized uptake value enhanced by 2.1 to 2.7fold. In contrast, brain regions exhibiting differences seemed to be more restricted with less pronounced increases of tracer uptake by 1.8–2.5fold four weeks following status epilepticus and by 1.5–1.8fold in the chronic phase. Based on correlation analysis, we were able to identify regions with a predictive value showing a correlation with seizure development. These regions include the amygdala as well as a cluster of brain areas. This cluster comprises parts of different brain regions, e.g. the hippocampus, parietal cortex, thalamus, and somatosensory cortex. In conclusion, the data provide evidence that [(18)F]GE-180 PET brain imaging can serve as a biomarker of epileptogenesis. The identification of brain regions with predictive value might facilitate the development of preventive concepts as well as the early assessment of the interventional success. Future studies are necessary to further confirm the predictivity of the approach.
format Online
Article
Text
id pubmed-5403805
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-54038052017-05-01 Identification of brain regions predicting epileptogenesis by serial [(18)F]GE-180 positron emission tomography imaging of neuroinflammation in a rat model of temporal lobe epilepsy Russmann, Vera Brendel, Matthias Mille, Erik Helm-Vicidomini, Angela Beck, Roswitha Günther, Lisa Lindner, Simon Rominger, Axel Keck, Michael Salvamoser, Josephine D. Albert, Nathalie L. Bartenstein, Peter Potschka, Heidrun Neuroimage Clin Regular Article Excessive activation of inflammatory signaling pathways seems to be a hallmark of epileptogenesis. Positron emission tomography (PET) allows in vivo detection of brain inflammation with spatial information and opportunities for longitudinal follow-up scanning protocols. Here, we assessed whether molecular imaging of the 18 kDa translocator protein (TSPO) can serve as a biomarker for the development of epilepsy. Therefore, brain uptake of [(18)F]GE-180, a highly selective radioligand of TSPO, was investigated in a longitudinal PET study in a chronic rat model of temporal lobe epilepsy. Analyses revealed that the influence of the epileptogenic insult on [(18)F]GE-180 brain uptake was most pronounced in the earlier phase of epileptogenesis. Differences were evident in various brain regions during earlier phases of epileptogenesis with [(18)F]GE-180 standardized uptake value enhanced by 2.1 to 2.7fold. In contrast, brain regions exhibiting differences seemed to be more restricted with less pronounced increases of tracer uptake by 1.8–2.5fold four weeks following status epilepticus and by 1.5–1.8fold in the chronic phase. Based on correlation analysis, we were able to identify regions with a predictive value showing a correlation with seizure development. These regions include the amygdala as well as a cluster of brain areas. This cluster comprises parts of different brain regions, e.g. the hippocampus, parietal cortex, thalamus, and somatosensory cortex. In conclusion, the data provide evidence that [(18)F]GE-180 PET brain imaging can serve as a biomarker of epileptogenesis. The identification of brain regions with predictive value might facilitate the development of preventive concepts as well as the early assessment of the interventional success. Future studies are necessary to further confirm the predictivity of the approach. Elsevier 2017-04-05 /pmc/articles/PMC5403805/ /pubmed/28462087 http://dx.doi.org/10.1016/j.nicl.2017.04.003 Text en © 2017 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Regular Article
Russmann, Vera
Brendel, Matthias
Mille, Erik
Helm-Vicidomini, Angela
Beck, Roswitha
Günther, Lisa
Lindner, Simon
Rominger, Axel
Keck, Michael
Salvamoser, Josephine D.
Albert, Nathalie L.
Bartenstein, Peter
Potschka, Heidrun
Identification of brain regions predicting epileptogenesis by serial [(18)F]GE-180 positron emission tomography imaging of neuroinflammation in a rat model of temporal lobe epilepsy
title Identification of brain regions predicting epileptogenesis by serial [(18)F]GE-180 positron emission tomography imaging of neuroinflammation in a rat model of temporal lobe epilepsy
title_full Identification of brain regions predicting epileptogenesis by serial [(18)F]GE-180 positron emission tomography imaging of neuroinflammation in a rat model of temporal lobe epilepsy
title_fullStr Identification of brain regions predicting epileptogenesis by serial [(18)F]GE-180 positron emission tomography imaging of neuroinflammation in a rat model of temporal lobe epilepsy
title_full_unstemmed Identification of brain regions predicting epileptogenesis by serial [(18)F]GE-180 positron emission tomography imaging of neuroinflammation in a rat model of temporal lobe epilepsy
title_short Identification of brain regions predicting epileptogenesis by serial [(18)F]GE-180 positron emission tomography imaging of neuroinflammation in a rat model of temporal lobe epilepsy
title_sort identification of brain regions predicting epileptogenesis by serial [(18)f]ge-180 positron emission tomography imaging of neuroinflammation in a rat model of temporal lobe epilepsy
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5403805/
https://www.ncbi.nlm.nih.gov/pubmed/28462087
http://dx.doi.org/10.1016/j.nicl.2017.04.003
work_keys_str_mv AT russmannvera identificationofbrainregionspredictingepileptogenesisbyserial18fge180positronemissiontomographyimagingofneuroinflammationinaratmodeloftemporallobeepilepsy
AT brendelmatthias identificationofbrainregionspredictingepileptogenesisbyserial18fge180positronemissiontomographyimagingofneuroinflammationinaratmodeloftemporallobeepilepsy
AT milleerik identificationofbrainregionspredictingepileptogenesisbyserial18fge180positronemissiontomographyimagingofneuroinflammationinaratmodeloftemporallobeepilepsy
AT helmvicidominiangela identificationofbrainregionspredictingepileptogenesisbyserial18fge180positronemissiontomographyimagingofneuroinflammationinaratmodeloftemporallobeepilepsy
AT beckroswitha identificationofbrainregionspredictingepileptogenesisbyserial18fge180positronemissiontomographyimagingofneuroinflammationinaratmodeloftemporallobeepilepsy
AT guntherlisa identificationofbrainregionspredictingepileptogenesisbyserial18fge180positronemissiontomographyimagingofneuroinflammationinaratmodeloftemporallobeepilepsy
AT lindnersimon identificationofbrainregionspredictingepileptogenesisbyserial18fge180positronemissiontomographyimagingofneuroinflammationinaratmodeloftemporallobeepilepsy
AT romingeraxel identificationofbrainregionspredictingepileptogenesisbyserial18fge180positronemissiontomographyimagingofneuroinflammationinaratmodeloftemporallobeepilepsy
AT keckmichael identificationofbrainregionspredictingepileptogenesisbyserial18fge180positronemissiontomographyimagingofneuroinflammationinaratmodeloftemporallobeepilepsy
AT salvamoserjosephined identificationofbrainregionspredictingepileptogenesisbyserial18fge180positronemissiontomographyimagingofneuroinflammationinaratmodeloftemporallobeepilepsy
AT albertnathaliel identificationofbrainregionspredictingepileptogenesisbyserial18fge180positronemissiontomographyimagingofneuroinflammationinaratmodeloftemporallobeepilepsy
AT bartensteinpeter identificationofbrainregionspredictingepileptogenesisbyserial18fge180positronemissiontomographyimagingofneuroinflammationinaratmodeloftemporallobeepilepsy
AT potschkaheidrun identificationofbrainregionspredictingepileptogenesisbyserial18fge180positronemissiontomographyimagingofneuroinflammationinaratmodeloftemporallobeepilepsy