Paradoxical Upregulation of Glutamatergic Presynaptic Boutons during Mild Cognitive Impairment
Bibliographic record
Abstract
Synaptic integrity is now recognized as a central component of Alzheimer's disease. Surprisingly, however, the structural status of glutamatergic synapses in Alzheimer's disease is unclear, despite the fact that glutamate is the major excitatory transmitter of the CNS and has key roles in excitotoxicity and long-term potentiation. The identification of specific markers of glutamatergic neurons now allows an assessment of the structural involvement of the glutamatergic system across progressive stages of the Alzheimer's pathology, an opportunity not afforded by previously used neurochemical approaches. Glutamatergic presynaptic bouton density and dystrophic neurite abundance were quantified in midfrontal gyrus brain tissue from subjects with no cognitive impairment, mild cognitive impairment, or mild- or severe-stage Alzheimer's disease. Our study demonstrates a striking pathology-dependent pattern of glutamatergic synaptic remodeling with disease progression. Subjects with mild cognitive impairment display a paradoxical elevation in glutamatergic presynaptic bouton density, a situation akin to that observed in the cholinergic system, which then depletes and drops with disease progression. This pattern of synaptic remodeling mirrors our previous findings in transgenic animal models and is of major relevance to current transmitter-based therapeutics.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".