Assessing Reactive Astrocytosis in Alzheimer's Disease Using [18F]Fluorodeprenyl-D2 PET Imaging

Poster No:

1992 

Submission Type:

Abstract Submission 

Authors:

Boris-Stephan Rauchmann1, Selim Gürsel2, Carolin Kurz2, Simon Lindner3, Nicolai Franzmeier4, Katharina Buerger5, Johannes Gnörich3, Mirlind Zaganjori5, Letitia Vogler3, Laura Sanzo3, Klaus Seelos6, Robert Perneczky7, Matthias Brendel3

Institutions:

1University Hospital, LMU Munich, München, Deutschland, 2Department of Psychiatry and Psychotherapy, University Hospital, Technical University Munich, Munich, Munich, Germany, 3Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany, Munich, Germany, 4University Hospital LMU Munich, Munich, Bavaria, 5Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany, Munich, Germany, 6Institute of Neuroradiology, University Hospital, LMU Munich, Munich, Germany, Munich, Germany, 7German Centre for Neurodegenerative Diseases (DZNE), Munich, Germany

First Author:

Boris-Stephan Rauchmann  
University Hospital, LMU Munich
München, Deutschland

Co-Author(s):

Selim Gürsel  
Department of Psychiatry and Psychotherapy, University Hospital, Technical University Munich, Munich
Munich, Germany
Carolin Kurz  
Department of Psychiatry and Psychotherapy, University Hospital, Technical University Munich, Munich
Munich, Germany
Simon Lindner  
Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany
Munich, Germany
Nicolai Franzmeier  
University Hospital LMU Munich
Munich, Bavaria
Katharina Buerger  
Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
Munich, Germany
Johannes Gnörich  
Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany
Munich, Germany
Mirlind Zaganjori  
Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
Munich, Germany
Letitia Vogler  
Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany
Munich, Germany
Laura Sanzo  
Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany
Munich, Germany
Klaus Seelos  
Institute of Neuroradiology, University Hospital, LMU Munich, Munich, Germany
Munich, Germany
Robert Perneczky  
German Centre for Neurodegenerative Diseases (DZNE)
Munich, Germany
Matthias Brendel  
Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany
Munich, Germany

Introduction:

The progression of Alzheimer's Disease (AD), the most common cause of the dementia, is often accompanied by neuroinflammation, which manifests prior to significant cognitive decline. Reactive astrocytosis is a hallmark of such inflammation, potentially serving as an early biomarker for AD pathology (1). Our study employs [18F]fluorodeprenyl-D2 ([18F]F-DED) positron emission tomography (PET) imaging to in vivo quantify astrocytosis comparing AD with healthy controls and examines its correlation with cognitive deterioration in AD.

Methods:

We conducted a cross-sectional analysis involving 12 patients within the early stages of the AD spectrum and 11 cognitively healthy controls. All participants underwent [18F]F-DED and MRI imaging. AD patients were identified based on CSF amyloid-β42/40 ratios below 5.5% and Mini-Mental State Examination (MMSE) score below 27. Controls scored 27 or higher on the MMSE and displayed no amyloid-β pathology. Differences in [18F]F-DED uptake between groups were evaluated through region-of-interest (ROI)-based analyses. The preprocessing of [18F]F-DED data was performed in PMOD software, and the quantification of cortical uptake was determined by computing the volume of distribution, which is the ratio of the radioligand concentration in target tissue (expressed in kBq/cm³) to that in the image derived plasma (in kBq/mL) at equilibrium. In a ROI based analysis we employed the Automated Anatomical Labeling (AAL) atlas, which was adapted to individual gray matter masks and then conformed to the individual [18F]F-DED maps. We computed the median uptake value for each ROI. Cortical amyloid deposition was measured using [18F]flutemetamol β-amyloid-PET imaging. Cerebrospinal fluid (CSF) biomarkers, including Aβ42, Aβ40, and phosphorylated tau (p-tau), were measured using the Lumipulse G1200 platform from Fujirebio. Cognitive performance was tested using the Mini-Mental State Examination (MMSE). We explored the associations between cognitive performance metrics and [18F]F-DED uptake utilizing linear regression models, controlling for age and sex, conducted in the R statistical environment.

Results:

The study involved participants with an average age of 71, featuring an equal distribution of genders. Notably, we detected a pronounced increase in [18F]F-DED uptake in Alzheimer's Disease (AD) impacted areas, specifically in the bilateral occipital (Left: T:2.28, p=0.03; Right: T:2.51, p=0.02), temporal (Left: T:2.21, p=0.03; Right: T:2.22, p=0.03), and frontal lobes (Left: T:2.46, p<0.02; Right: T:2.45, p<0.02). These uptakes were significantly correlated with cognitive assessments. Specifically, enhanced uptake in the temporal regions was strongly linked to lower cerebrospinal fluid amyloid-β ratios and reduced scores on the Mini-Mental State Examination (MMSE) (p<0.01). These relationships persisted after adjusting for age and gender factors.

Conclusions:

Our findings suggest that [18F]F-DED PET imaging can detect reactive astrocytosis in regions vulnerable to AD pathology, potentially before the onset of severe cognitive symptoms. The correlation between increased tracer uptake and cognitive decline reinforces the utility of [18F]F-DED as a biomarker for AD progression. These insights into the spatial patterns of neuroinflammation offer a promising avenue for early diagnosis and monitoring of AD, paving the way for interventions that target neuroinflammatory processes in the disease's early stages.

Disorders of the Nervous System:

Neurodegenerative/ Late Life (eg. Parkinson’s, Alzheimer’s) 2

Learning and Memory:

Working Memory

Lifespan Development:

Aging

Modeling and Analysis Methods:

PET Modeling and Analysis 1

Keywords:

Memory
Positron Emission Tomography (PET)
Other - Alzheimers Disease

1|2Indicates the priority used for review

Provide references using author date format

1) Kreisl WC, Kim MJ, Coughlin JM, Henter ID, Owen DR, Innis RB. PET imaging of neuroinflammation in neurological disorders. Lancet Neurol. 2020 Nov;19(11):940-950. doi: 10.1016/S1474-4422(20)30346-X. PMID: 33098803; PMCID: PMC7912433.