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The diagnostic and prognostic value of tau-PET in amnestic MCI with different FDG-PET subtypes
Cecilia Boccalini1,2, Silvia Paola Caminiti1,3,4, Arturo Chiti1,4
1Vita-Salute San Raffaele University, Milan, Italy.
Objectives:
Mild cognitive impairment presenting with an amnestic syndrome (aMCI) and amyloid positivity is considered due to AD. Many subjects, however, can show an overall very slow progression relevant for differential diagnosis, prognosis, and treatment. This study assessed PET biomarkers, including brain glucose metabolism, tau, and amyloid load, in a series of comparable aMCI at baseline, clinically evaluated at follow-up.
Methods:
We included 72 aMCI subjects from Geneva Memory Center (N = 31) and ADNI cohorts (N = 41), selected based on available FDG-PET, tau-PET, amyloid-PET, and clinical follow-up (2.3 years ± 1.2). A data-driven algorithm classified brain metabolic patterns into subtypes that were then compared for clinical and PET biomarker measures and cognitive decline. Voxel-wise comparisons were performed both with FDG-PET and tau-PET data.
Results:
The algorithm classified three metabolic subtypes, namely "Hippocampal-sparing with cortical hypometabolism" (Type1; N = 27), "Hippocampal and cortical hypometabolism" (Type 2; N = 23), and "Medial temporal hypometabolism" (Type 3; N = 22). Amyloid positivity and tau accumulation in the medial temporal and neocortical regions characterized Type 1 and Type 2, whereas Type 3 showed no significant tau pathology, variable amyloid positivity, and stability at follow-up. All tau-positive patients, independently of the FDG-based subtype, showed faster cognitive decline.
Interpretation:
aMCI subjects can differ in metabolic patterns, tau and amyloid pathology, and clinical progression. Here, we complemented with PET tau biomarker the specific brain hypometabolic patterns at the individual level in the prodromal phase, contributing to the patient's classification. Tau PET is the most accurate biomarker in supporting or excluding the AD diagnosis in aMCI across metabolic subtypes and also predicting the risk of decline.
Insights
Mild cognitive impairment (MCI) patients show varied progression. Tau PET imaging accurately aids Alzheimer's diagnosis and predicts decline in amnestic MCI (aMCI) across metabolic subtypes.
Area of Science:
- Neuroimaging
- Neurology
- Biomarkers
Background:
- Alzheimer's disease (AD) diagnosis in amnestic mild cognitive impairment (aMCI) with amyloid positivity is complex due to variable progression rates.
- Understanding these variations is crucial for accurate differential diagnosis, prognosis, and treatment strategies.
Purpose of the Study:
- To assess positron emission tomography (PET) biomarkers, including brain glucose metabolism (FDG-PET), tau deposition, and amyloid load, in aMCI patients.
- To classify aMCI subtypes based on metabolic patterns and evaluate their correlation with clinical progression and PET biomarkers.
Main Methods:
- 72 aMCI subjects from Geneva Memory Center and ADNI cohorts were analyzed.
- Data included FDG-PET, tau-PET, amyloid-PET, and clinical follow-up (2.3 years).
- A data-driven algorithm identified metabolic subtypes, followed by voxel-wise comparisons of PET data and clinical decline.
Main Results:
- Three metabolic subtypes were identified: Hippocampal-sparing cortical hypometabolism (Type 1), Hippocampal and cortical hypometabolism (Type 2), and Medial temporal hypometabolism (Type 3).
- Type 1 and Type 2 showed amyloid positivity and tau accumulation, while Type 3 had minimal tau pathology and remained stable.
- All tau-positive patients exhibited faster cognitive decline, irrespective of their FDG-PET subtype.
Conclusions:
- aMCI patients exhibit diverse metabolic patterns, tau/amyloid pathology, and clinical progression.
- Tau PET imaging complements hypometabolic patterns, aiding individual patient classification in the prodromal phase.
- Tau PET is a highly accurate biomarker for supporting or excluding AD diagnosis and predicting cognitive decline risk in aMCI.
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