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FDG-PET reveals dysregulated glucose metabolism as a common feature across late-onset neurodegenerative diseases with unique patternsFDG-PET scans show common brain glucose changes across several late-onset neurodegenerative diseases

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Key Takeaway
Note that dysregulated glucose metabolism is a common A2ND feature, but hypermetabolism may signal compensatory or neuroinflammatory processes.

This meta-analysis evaluated glucose metabolic dysregulation in the brains of adults with late-onset age-associated neurodegenerative diseases (A2ND), including Alzheimer's disease, Parkinson's disease, amyotrophic lateral sclerosis, and multiple sclerosis, compared against healthy, unimpaired controls. The study population comprised 5,412 individuals with A2ND and 3,549 controls. Researchers employed activation likelihood estimation (ALE) meta-analyses to identify common signatures of dysregulated glucose metabolism on FDG-PET, alongside secondary outcomes such as cluster peak coordinates and hyper- or hypometabolism patterns.

The primary finding was that dysregulated glucose metabolism serves as a unifying feature across all A2ND conditions. However, distinct neuroanatomical metabolic patterns were observed that were unique and specific to individual diseases. Furthermore, neurological functionalities were found to be associated with these unique and complex metabolic patterns. The analysis utilized secondary outcomes including cluster-wise t- or Z- values and annotations indicating the specific disease of interest to map these variations.

Safety and tolerability data were not reported in this study. The authors note a key limitation regarding the interpretation of hypermetabolism, suggesting it may reflect a compensatory, maladaptive, or neuroinflammatory signal that requires focused investigation. Consequently, the practice relevance suggests that prevention and treatment efficacy for A2ND may depend on addressing bidirectional metabolic dysregulation in addition to disease-specific drivers of pathology.

This study combined data from multiple sources to look at how the brain uses glucose in late-onset neurodegenerative diseases. It included 5,412 individuals with conditions like Alzheimer's, Parkinson's, ALS, and Multiple Sclerosis, along with 3,549 healthy controls. Scientists used FDG-PET scans to measure brain glucose uptake and compared these findings using advanced statistical methods.

The main finding was that dysregulated glucose metabolism appears to be a unifying feature across all the studied diseases. While the overall pattern of metabolic change is common, the specific locations and types of changes—whether too little or too much glucose use—are unique to each disease. These metabolic shifts are also linked to complex neurological functional profiles.

Researchers noted that areas showing high glucose activity, or hypermetabolism, might not always mean the disease is worsening. Instead, this increased activity could represent a compensatory response, a maladaptive process, or a sign of neuroinflammation. Because of this uncertainty, the study suggests that preventing or treating these diseases may require addressing these metabolic issues alongside traditional disease-specific drivers.

Readers should understand that this is a meta-analysis of existing scan data, not a new clinical trial. The results highlight a shared biological mechanism but do not yet offer a new treatment. More focused investigation is needed to fully understand what hypermetabolism means in the context of these progressive conditions.

What this means for you:
Dysregulated glucose metabolism is common across several neurodegenerative diseases, but high activity may signal inflammation or compensation.

Study Details

Study typeMeta analysis
EvidenceLevel 1
PublishedApr 2026
View Original Abstract ↓
Importance: Glucose metabolic dysregulation in brain is a common feature of late-onset age-associated neurodegenerative disease (A2ND). Prior meta-analyses have identified disease-specific effects compared to healthy, unimpaired individuals. Yet, a unifying A2ND glucose dysregulation spatial signature remains undescribed. Objective: To determine the common signature of dysregulated glucose metabolism on FDG-PET using activation likelihood estimation (ALE) meta-analyses across A2ND. Data Sources: Searches were conducted using MEDLINE, Embase, PsycINFO, Scopus, and Cochrane from inception through July 2025. The search terms included controlled vocabulary and keywords for four neurodegenerative diseases Parkinson Disease, Amyotrophic Lateral Sclerosis, Alzheimer Disease, and Multiple Sclerosis, Fluorodeoxyglucose F18, glucose, and positron-emission tomography (PET). Study Selection: Studies comparing adults with late-onset neurodegenerative diseases to non-diseased controls using FDG-PET to quantify brain glucose uptake and reporting whole-brain coordinate findings in either Talairach or Montreal Neurological Institute space were included. Data Extraction and Synthesis: Three researchers, assisted by an AI screening tool, screened 7275 potential titles and abstracts for inclusion. Full texts were then retrieved for potentially relevant articles and were evaluated by three researchers using prespecified inclusion/exclusion criteria. Main Outcomes and Measures: Cluster peak and subpeak coordinates, cluster-wise t- or Z- values, and annotations indicating the disease of interest, whether the outcome was for hyper- (disease group > control) or hypometabolism (disease group < control), were extracted from included texts and analyzed using ALE. Results: A total of 130 FDG-PET studies were included in the meta-analysis, with a combined sample of 5412 individuals with A2ND and 3549 controls. Meta-analyses revealed dysregulated glucose metabolism as a unifying feature across A2ND which included both hypo- and hypermetabolic patterns. Neuroanatomical metabolic pattern was unique and disease specific. Each A2ND metabolic phenotype was associated with unique and complex patterns of neurological functionalities. Conclusions and Relevance: These data demonstrate dysregulated glucose metabolism as a common A2ND feature, suggesting responsive remodeling of neural bioenergetics. While hypometabolism is a common research focus, due to functional relevance, hypermetabolism may reflect a compensatory, maladaptive, or neuroinflammatory signal, that requires focused investigation. A2ND prevention and treatment efficacy may depend on addressing bidirectional metabolic dysregulation in addition to disease-specific drivers of pathology.
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