ArticleMolecular neurobiology2017
Disrupted Brain Structural Connectivity: Pathological Interactions Between Genetic APOE ε4 Status and Developed MCI Condition.
Article in Molecular neurobiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.
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14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 citations in OpenAlex.
- Cognitive Intra-individual Variability in Cognitively Healthy APOE ε4 Carriers, Mild Cognitive Impairment, and Alzheimer's Disease: a Meta-analysis.Neuropsychology review · 2025Pooled it
- Imaging Alzheimer's genetic risk using diffusion MRI: A systematic review.NeuroImage. Clinical · 2020Pooled it
- Effects of APOE2 and APOE4 on brain microstructure in older adults: modification by age, sex, and cognitive status.Alzheimer's research & therapy · 2024Article
- Functional network centrality indicates interactions between APOE4 and age across the clinical spectrum of Alzheimer's Disease.NeuroImage. Clinical · 2024Article
- Independent and combined effects of methamphetamine use disorders and APOEε4 allele on cognitive performance and brain morphometry.Addiction (Abingdon, England) · 2023Article
- Tract-specific differences in white matter microstructure between young adultNeuroimage. Reports · 2022Article
- Positive Effect of Cognitive Training in Older Adults with DifferentDiagnostics (Basel, Switzerland) · 2022Article
- Dementia Risk Factors Modify Hubs but Leave Other Connectivity Measures Unchanged in Asymptomatic Individuals: A Graph Theoretical Analysis.Brain connectivity · 2022Article
- The impact of genetic risk for Alzheimer's disease on the structural brain networks of young adults.Frontiers in neuroscience · 2022Article
- The human connectome in Alzheimer disease - relationship to biomarkers and genetics.Nature reviews. Neurology · 2021Review
- Apolipoprotein E4 effects on topological brain network organization in mild cognitive impairment.Scientific reports · 2021Article
- Brain connectivity during Alzheimer's disease progression and its cognitive impact in a transgenic rat model.Network neuroscience (Cambridge, Mass.) · 2020Article
- Associations Between Positron Emission Tomography Amyloid Pathology and Diffusion Tensor Imaging Brain Connectivity in Pre-Clinical Alzheimer's Disease.Brain connectivity · 2019Article
- Higher spatial resolution diffusion-weighted imaging improves characterization of white matter disconnection in Alzheimer's disease.Imaging neuroscience (Cambridge, Mass.)Article
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The ε4 allele of the apolipoprotein E (APOE) gene and mild cognitive impairment (MCI) are both risk factors for Alzheimer's disease (AD). One factor is genetic, and the other is a developed condition during the aging process. The current study intended to discover the interactions of these two factors, which may be useful in the construction of a sensitive biomarker for early identification and intervention. Eight hundred eighty-five Chinese Han ethnic subjects (aged 55 and older) completed neuropsychological tests and APOE genotyping. One hundred ten of these participants underwent magnetic resonance imaging (MRI) for T1 structural and diffusion tensor imaging scans. Subjects were divided into four groups according to APOE ε4 carrying status and MCI condition: ε4+ MCI, ε4+ normal cognition (NC), ε4- MCI, and ε4- NC. In the studied Han population in Beijing, 16.9 % (ε2ε4 = 1.1 %, ε3ε4 = 14.8 %, and ε4ε4 = 0.9 %) carried at least one ε4 allele. Significant interactions between APOE ε4 and MCI were found in general cognitive function (p = 0.001) and white matter connectivity network (clustering coefficient, p = 0.004, and local efficiency, p = 0.011); the combination of ε4 positivity and MCI was accompanied by reductions in Mini-Mental Status Examination (MMSE) scores, global white matter network connectivity, and the right hippocampus (rHIP) nodal efficiency within that network (false discovery rate (FDR), p < 0.05). Our results suggest the presence of a genetic risk and MCI led to more severe pathological symptoms and could be informative in the implementation of clinical trials for early stages of AD.
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