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Microglial activation and tau burden predict cognitive decline in Alzheimer's disease.

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  • معلومة اضافية
    • بيانات النشر:
      //dx.doi.org/10.1093/brain/awaa088
      Brain
      Oxford University Press (OUP)
    • الموضوع:
      2020
    • Collection:
      Apollo - University of Cambridge Repository
    • نبذة مختصرة :
      Tau pathology, neuroinflammation, and neurodegeneration are key aspects of Alzheimer's disease. Understanding whether these features predict cognitive decline, alone or in combination, is crucial to develop new prognostic measures and enhanced stratification for clinical trials. Here, we studied how baseline assessments of in vivo tau pathology (measured by 18F-AV-1451 PET), neuroinflammation (measured by 11C-PK11195 PET) and brain atrophy (derived from structural MRI) predicted longitudinal cognitive changes in patients with Alzheimer's disease pathology. Twenty-six patients (n = 12 with clinically probable Alzheimer's dementia and n = 14 with amyloid-positive mild cognitive impairment) and 29 healthy control subjects underwent baseline assessment with 18F-AV-1451 PET, 11C-PK11195 PET, and structural MRI. Cognition was examined annually over the subsequent 3 years using the revised Addenbrooke's Cognitive Examination. Regional grey matter volumes, and regional binding of 18F-AV-1451 and 11C-PK11195 were derived from 15 temporo-parietal regions characteristically affected by Alzheimer's disease pathology. A principal component analysis was used on each imaging modality separately, to identify the main spatial distributions of pathology. A latent growth curve model was applied across the whole sample on longitudinal cognitive scores to estimate the rate of annual decline in each participant. We regressed the individuals' estimated rate of cognitive decline on the neuroimaging components and examined univariable predictive models with single-modality predictors, and a multi-modality predictive model, to identify the independent and combined prognostic value of the different neuroimaging markers. Principal component analysis identified a single component for the grey matter atrophy, while two components were found for each PET ligand: one weighted to the anterior temporal lobe, and another weighted to posterior temporo-parietal regions. Across the whole-sample, the single-modality models indicated significant ...
    • File Description:
      Print; application/pdf; application/vnd.openxmlformats-officedocument.wordprocessingml.document
    • Relation:
      https://www.repository.cam.ac.uk/handle/1810/305542
    • الرقم المعرف:
      10.17863/CAM.52622
    • Rights:
      Attribution 4.0 International ; https://creativecommons.org/licenses/by/4.0/
    • الرقم المعرف:
      edsbas.604E2F98