ArticleNeurobiology of aging2014
Brain gene expression patterns differentiate mild cognitive impairment from normal aged and Alzheimer's disease.
Article in Neurobiology of aging, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.
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Who cites it
67 citing papers in PubMed, 133 citations in OpenAlex.
- Response of the medial temporal lobe network in amnestic mild cognitive impairment to therapeutic intervention assessed by fMRI and memory task performance.NeuroImage. Clinical · 2015Trial
- Sex-Divergent Patterns in Hippocampal and Cortical NMDA Receptor Density Across the Alzheimer's Disease Continuum.International journal of molecular sciences · 2026Article
- Dissecting Alzheimer's proteomic landscape through NULISA profiling of brain cell-specific extracellular vesicles.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Decoupling MCI-specific signatures from shared neurobiological substrates of cognitive aging via deep learning.NPJ digital medicine · 2026Article
- Longitudinal Analysis of Mitochondrial D-Loop Methylation and Copy Number in Peripheral Blood: Epigenetic Signatures of Alzheimer's Disease Progression and Aging.International journal of molecular sciences · 2026Article
- Impaired Synaptic Plasticity Mechanisms in Alzheimer's Disease.Metabolic brain disease · 2025Review
- AMPA and NMDA Receptors in Hippocampus of Rats with Fluoride-Induced Cognitive Decline.International journal of molecular sciences · 2024Article
- Cognitive Decline: Current Intervention Strategies and Integrative Therapeutic Approaches for Alzheimer's Disease.Brain sciences · 2024Review
- Consistent genes associated with structural changes in clinical Alzheimer's disease spectrum.Frontiers in neuroscience · 2024Article
- STXBP6 Gene Mutation: A New Form of SNAREopathy Leads to Developmental Epileptic Encephalopathy.International journal of molecular sciences · 2023Article
- Perturbed Information Processing Complexity in Experimental Epilepsy.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Functional excitatory to inhibitory synaptic imbalance and loss of cognitive performance in people with Alzheimer's disease neuropathologic change.Acta neuropathologica · 2023Article
- Several dementia subtypes and mild cognitive impairment share brain reduction of neurotransmitter precursor amino acids, impaired energy metabolism, and lipid hyperoxidation.Frontiers in aging neuroscience · 2023Article
- Golgi fragmentation - One of the earliest organelle phenotypes in Alzheimer's disease neurons.Frontiers in neuroscience · 2023Article
- Article
- Synaptic Disruption by Soluble Oligomers in Patients with Alzheimer's and Parkinson's Disease.Biomedicines · 2022Review
- Engagement of vascular early response genes typifies mild cognitive impairment.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2022Article
- Identifying Alzheimer's genes via brain transcriptome mapping.BMC medical genomics · 2022Article
- Increase in Mitochondrial D-Loop Region Methylation Levels in Mild Cognitive Impairment Individuals.International journal of molecular sciences · 2022Article
- Posterior cingulate cortex reveals an expression profile of resilience in cognitively intact elders.Brain communications · 2022Article
7 more citing papers are in PubMed but not listed here.
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6 authors at 2 institutions in 1 country.
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Abstract
Mild cognitive impairment (MCI) represents a cognitive state intermediate between normal aging and early Alzheimer's disease (AD). To investigate if the molecular signature of MCI parallels the clinical picture, we use microarrays to extensively profile gene expression in 4 cortical brain regions (entorhinal cortex, hippocampus, superior frontal gyrus, post-central gyrus) using the postmortem tissue from cognitively normal aged controls, MCI, and AD cases. Our data reveal that gene expression patterns in MCI are not an extension of aging, and for the most part, are not intermediate between aged controls and AD. Functional enrichment analysis of significant genes revealed prominent upregulation in MCI brains of genes associated with anabolic and biosynthetic pathways (notably transcription, protein biosynthesis, protein trafficking, and turnover) as well as mitochondrial energy generation. In addition, many synaptic genes showed altered expression in MCI, predominantly upregulation, including genes for central components of the vesicle fusion machinery at the synapse, synaptic vesicle trafficking, neurotransmitter receptors, and synaptic structure and stabilization. These data suggest that there is a rebalancing of synaptic transmission in the MCI brain. To investigate if synaptic gene expression levels in MCI were related to cognitive function, Pearson correlation coefficient between the Mini Mental State Examination (MMSE) and region-specific messenger RNA expression were computed for MCI cases. A number of synaptic genes showed strong significant correlations (r > 0.8, p < 0.01) most notably in the entorhinal cortex, with fewer in the hippocampus, and very few in neocortical regions. The synaptic genes with highly significant correlations were predominantly related to synaptic transmission and plasticity, and myelin composition. Unexpectedly, we found that gene expression changes that facilitate synaptic excitability and plasticity were overwhelmingly associated with poorer MMSE, and conversely that gene expression changes that inhibit plasticity were positively associated with MMSE. These data suggest that there are excessive excitability and apparent plasticity in limbic brain regions in MCI, that is associated with impaired synaptic and cognitive function. Such changes would be predicted to contribute to increased excitability, in turn leading to greater metabolic demand and ultimately progressive degeneration and AD, if not controlled.
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