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PET Imaging of Neuroinflammation Using [11C]DPA-713 in a Mouse Model of Ischemic Stroke
Published on: June 14, 2018
TSPO-PET-measurable neuroinflammation associates with information processing speed decline in multiple sclerosis
Maija Saraste1, Taru Nikkilä2, Markus Matilainen1
1Turku PET Centre, Turku University Hospital, University of Turku and Åbo Akademi University, Turku, Finland; Department of Clinical Neurosciences, University of Turku, Turku, Finland; Neurocenter, Turku University Hospital, Turku, Finland; InFLAMES Research Flagship, University of Turku, Turku, Finland.
Glial activation in normal-appearing white matter predicts future cognitive decline in multiple sclerosis (MS). This neuroinflammation measured by TSPO-PET is linked to impaired information processing speed (IPS).
Area of Science:
- Neuroimaging
- Neuroinflammation
- Cognitive Neuroscience
Background:
- Impaired information processing speed (IPS) is a common and disabling cognitive deficit in multiple sclerosis (MS).
- Identifying biomarkers for IPS decline is crucial for managing MS.
- Glial activation is implicated in MS pathogenesis.
Purpose of the Study:
- To assess if glial activation, measured using translocator protein-positron emission tomography (TSPO-PET), predicts current performance and long-term changes in the Symbol Digit Modalities Test (SDMT).
- To investigate the relationship between neuroinflammation and cognitive function in MS patients.
Main Methods:
- Forty-eight people with MS underwent TSPO-PET, MRI, diffusion tensor imaging, and SDMT at baseline.
- Thirty-four participants repeated the SDMT after a median of 4.9 years.
- Glial activation was quantified using distribution volume ratio (DVR); multivariable regression models identified predictors of SDMT performance and change.
Main Results:
- Normal-appearing white matter (NAWM) radial diffusivity, thalamic TSPO-PET DVR, and age explained 41% of baseline SDMT variance.
- NAWM DVR was the strongest predictor of SDMT change, explaining 53% of variance.
- A model including lesion rim DVR and baseline SDMT predicted SDMT decline with 73% sensitivity and 83% specificity (AUC=0.85).
Conclusions:
- Diffuse neuroinflammation in NAWM is associated with future SDMT decline in MS.
- Chronic glial activation in the brain may contribute to the deterioration of information processing speed in MS.
- TSPO-PET imaging shows potential as a biomarker for predicting cognitive decline in MS.

