The Role of Astrocytes in the Relationship Between Amyloid-ß Accumulation and Synaptic Dysfunction in Alzheimer’s Disease
Bibliographic record
Abstract
Alzheimer’s disease is a progressive neurodegenerative disorder and is the most common cause of dementia worldwide. The disease is characterized by the accumulation of Amyloid-ß plaques, aggregation of tau protein resulting in neurofibrillary tangles, and the dysfunction of neuronal synapses, all of which lead to cognitive impairment and memory loss. Although previous research has focused more on the neuronal aspect of Alzheimer’s disease, recent research has implicated the role of glial cells, most notably astrocytes, to have a significant impact on the disease’s pathogenesis. Astrocytes are the most abundant type of glial cell in the central nervous system and are important in maintaining neuron homeostasis through their various functions in gliotransmission, phagocytosis, and synaptic regulation. The main objective of this review is to examine the role of astrocytes in Alzheimer's disease, specifically in the relationship between Amyloid-ß accumulation and synaptic dysfunction. After reviewing the literature, it can be concluded that Amyloid-ß accumulation induces several changes in astrocytic functions that promote the malfunction of synaptic transmission, thus resulting in synaptic dysfunction in Alzheimer’s Disease. As there has been no cure or highly efficient treatment for Alzheimer’s disease thus far, further research into the role of astrocytes in the relationship between Amyloid-ß accumulation and synaptic dysfunction in the disease could provide alternative pathways and targets for therapeutic treatment.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".