Effect of genetic factors on [¹⁸F]FDG PET metabolic phenotypes in dementia with Lewy bodies.

Authors

Sofie Lövdal, Sanne K Meles, Giulia Carli, Anna Dortmond, Rosalie V Kogan, Orly Goldstein, Mali Gana-Weisz, Rotem I Orad, Roy N Alcalay, Noa Bregman, Klaus L Leenders, Tamara Shiner

Published in

European journal of nuclear medicine and molecular imaging. Aug 07, 2026. Epub Aug 07, 2026.

Abstract

Neuroimaging with [¹⁸F]FDG PET can support the diagnosis of Dementia with Lewy Bodies (DLB), but it remains unclear how genetic factors influence metabolic phenotypes.
To determine whether GBA1 and APOE ε4 status are associated with diverging [¹⁸F]FDG PET metabolic patterns in DLB.
We analyzed [¹⁸F]FDG PET scans from 43 patients with DLB stratified by GBA1 and APOE ε4 status, and 35 from healthy subjects. Analyses included the cingulate island sign (CIS), regions of interest, SSM/PCA disease patterns, and a machine learning multi-class model. We evaluated the similarity of the DLB patient scans in our cohort with respect to typical DLB, Alzheimer's disease (AD) and Parkinson's disease (PD)-like patterns.
APOE ε4 status mainly influenced the CIS, with APOE ε4-negative patients showing greater preservation of the DLB-typical CIS pattern (p = 0.03) compared to APOE ε4 carriers. In contrast, GBA1 status influenced global metabolic phenotype. GBA1 carriers showed a more homogeneous PD/DLB-like metabolic pattern in the machine learning model (p = 0.003) compared to GBA1 non-carriers, whereas the latter group demonstrated greater heterogeneity and higher expression of the AD-related metabolic pattern (p = 0.004). These effects were observed along a metabolic spectrum rather than as distinct clusters.
APOE ε4 and GBA1 modulate distinct aspects of the metabolic phenotype in DLB. GBA1 non-carriers and APOE ε4 carriers showed a higher rate of atypical metabolic signatures, which may contribute to biological heterogeneity and increase the risk of diagnostic misclassification.

PMID:
42566020
Bibliographic data and abstract were imported from PubMed on 07 Aug 2026.

Read full publication at:
Please sign in to see all details.

Stats

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.