Tuberous sclerosis complex‐1 (TSC1) contributes to selective neuronal vulnerability in Alzheimer's disease
Bibliographic record
Abstract
AIMS: Selective neuronal vulnerability of hippocampal Cornu Ammonis (CA)-1 neurons is a pathological hallmark of Alzheimer's disease (AD) with an unknown underlying mechanism. We interrogated the expression of tuberous sclerosis complex-1 (TSC1; hamartin) and mTOR-related proteins in hippocampal CA1 and CA3 subfields. METHODS: A human post-mortem cohort of mild (n = 7) and severe (n = 10) AD and non-neurological controls (n = 9) was used for quantitative and semi-quantitative analyses. We also developed an in vitro TSC1 knockdown model in rat hippocampal neurons, and transcriptomic analyses of TSC1 knockdown neuronal cultures were performed. RESULTS: We found a selective increase of TSC1 cytoplasmic inclusions in human AD CA1 neurons with hyperactivation of one of TSC1's downstream targets, the mammalian target of rapamycin complex-1 (mTORC1), suggesting that TSC1 is no longer active in AD. TSC1 knockdown experiments showed accelerated cell death independent of amyloid-beta toxicity. Transcriptomic analyses of TSC1 knockdown neuronal cultures revealed signatures that were significantly enriched for AD-related pathways. CONCLUSIONS: Our combined data point to TSC1 dysregulation as a key driver of selective neuronal vulnerability in the AD hippocampus. Future work aimed at identifying targets amenable to therapeutic manipulation is urgently needed to halt selective neurodegeneration, and by extension, debilitating cognitive impairment characteristic of AD.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".