Different brain spatial metabolic patterns characterizing different subtypes of multiple system atrophy.
This FDG- and DAT-PET study in 270 MSA patients identifies distinct metabolic patterns for MSA-P (hypermetabolism in pons/cerebellar posterior lobe/pallidum and hypometabolism in putamen/parieto‑occipital areas) and MSA-C (cerebellar and putaminal hypometabolism), shows greater striatal DAT loss in…
What the AI sees
This FDG- and DAT-PET study in 270 MSA patients identifies distinct metabolic patterns for MSA-P (hypermetabolism in pons/cerebellar posterior lobe/pallidum and hypometabolism in putamen/parieto‑occipital areas) and MSA-C (cerebellar and putaminal hypometabolism), shows greater striatal DAT loss in…
Research significance
The work provides clinically relevant, subtype-specific imaging biomarkers of metabolism and DAT loss that can improve diagnostic stratification, patient selection and progression tracking in synucleinopathy trials—useful for translational studies though it does not directly identify targetable…
Source abstract
Multiple system atrophy (MSA) includes parkinsonian (MSA-P) and cerebellar (MSA-C) subtypes. This study characterizes the spatial pattern of brain metabolic PET for MSA subtypes and assesses their relationship to striatal dopamine transporter (DAT) loss, considering sex, age and disease duration. We studied 270 MSA patients using 18F-flurodeoxyglucose-PET and scaled subprofile modeling (SSM) to characterize subtype-specific disease-related metabolic patterns and 18F-fluoro-propyl-β-CIT-PET to quantify striatal DAT loss. SSM analysis characterized an MSA-P-related metabolic pattern (MSAPRP-Combined), which was created by linear combination of two principal components (PC) that differentiated MSA-P from 16 age-matched controls subsequently named as MSAPRP-PC1 and MSAPRP-PC2. For MSA-C-related pattern (MSACRP), only one PC (MSACRP-PC1) differentiated the MSA-C patients from the same healthy controls, therefore MSACRP-PC1 equaled to MSACRP. MSAPRP-Combined showed hypermetabolism in the pons, the posterior lobe of the cerebellum, the pallidum and in the sensorimotor cortex, and hypometabolism in the putamen, the vermis of the cerebellum, the lateral premotor cortex and the parieto-occipital association regions. MSACRP showed hypometabolism in the cerebellum and putamen. MSAPRP-PC1 was topographically more similar to MSAPRP-Combined while MSAPRP-PC2 was more similar to MSACRP. MSA-P had greater DAT loss than MSA-C and controls. In MSA-P, age correlated with MSAPRP-Combined and DAT binding, while disease duration correlated with DAT. For MSA-P females, MSAPRP-PC2 correlated with disease duration. In MSA-C, MSACRP correlated with disease duration and, in females, with age. These findings suggest that metabolic and dopaminergic relationships with disease progression may differ by sex and age in MSA subtypes.