ArticleBrain communications2022
In Alzheimer-prone brain regions, metabolism and risk-gene expression are strongly correlated.
Article in Brain communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.
- Multi-omics integration reveals shared genetic architecture between metabolic markers and gray matter atrophy in Alzheimer's Disease.The journal of prevention of Alzheimer's disease · 2026Pooled it
- Spatiotemporal profiling of functional network overlapping modules in Alzheimer's disease.Network neuroscience (Cambridge, Mass.) · 2026Article
- Brain overlapping system-level architecture influenced by external magnetic stimulation and internal gene expression in AD-spectrum patients.Molecular psychiatry · 2025Article
- Increasing hexokinase 1 expression improves mitochondrial and glycolytic functional deficits seen in sporadic Alzheimer's disease astrocytes.Molecular psychiatry · 2025Article
- NMNAT2 supports vesicular glycolysis via NAD homeostasis to fuel fast axonal transport.Molecular neurodegeneration · 2024Article
- Mice and minipigs with compromised expression of the Alzheimer's disease geneBrain communications · 2024Article
- In-vivo neuronal dysfunction by Aβ and tau overlaps with brain-wide inflammatory mechanisms in Alzheimer's disease.Frontiers in aging neuroscience · 2024Article
- Article
- The Alzheimer's Disease Neuroimaging Initiative in the era of Alzheimer's disease treatment: A review of ADNI studies from 2021 to 2022.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Review
- Axonal energy metabolism, and the effects in aging and neurodegenerative diseases.Molecular neurodegeneration · 2023Review
- APOE Peripheral and Brain Impact: APOE4 Carriers Accelerate Their Alzheimer Continuum and Have a High Risk of Suicide in PMBiomolecules · 2023Review
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
Neuroimaging in the preclinical phase of Alzheimer's disease provides information crucial to early intervention, particularly in people with a high genetic risk. Metabolic network modularity, recently applied to the study of dementia, is increased in Alzheimer's disease patients compared with controls, but network modularity in cognitively unimpaired elderly with various risks of developing Alzheimer's disease needs to be determined. Based on their 5-year cognitive progression, we stratified 117 cognitively normal participants (78.3 ± 4.0 years of age, 52 women) into three age-matched groups, each with a different level of risk for Alzheimer's disease. From their fluorodeoxyglucose PET we constructed metabolic networks, evaluated their modular structures using the Louvain algorithm, and compared them between risk groups. As the risk for Alzheimer's disease increased, the metabolic connections among brain regions weakened and became more modular, indicating network fragmentation and functional impairment of the brain. We then set out to determine the correlation between regional brain metabolism, particularly in the modules derived from the previous analysis, and the regional expression of Alzheimer-risk genes in the brain, obtained from the Allen Human Brain Atlas. In all risk groups of this elderly population, the regional brain expression of most Alzheimer-risk genes showed a strong correlation with brain metabolism, particularly in the module that corresponded to regions of the brain that are affected earliest and most severely in Alzheimer's disease. Among the genes,
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