SIRT1 Regulation of Wakefulness and Senescence-Like Phenotype in Wake Neurons
Bibliographic record
Abstract
Wake neurons in the basal forebrain and brainstem provide critical inputs to optimize alertness and attention. These neurons, however, evidence heightened vulnerability to a diverse array of metabolic challenges, including aging. SIRT1 is an nicotinamide adenine dinucleotide responsive deacetylase serving diverse adaptive responses to metabolic challenges, yet this metabolic rheostat may be downregulated under conditions of significant oxidative stress. We hypothesized that SIRT1 might serve as a critical neuroprotectant for wake neurons in young animals but that this protectant would be lost upon aging, rendering the neurons more vulnerable to metabolic insults. In this collection of studies, we first established the presence of nuclear SIRT1 in wake neurons throughout the forebrain and brainstem. Supporting functional and behavioral roles for SIRT1 in wake-active neurons, transgenic whole animal, and conditional loss of brain SIRT1 in the adult mouse impart selective impairments in wakefulness, without disrupting non-rapid eye movement or rapid eye movement sleep. Populations of wake neurons, including the orexinergic, locus ceruleus, mesopontine cholinergic, and dopaminergic wake neurons, evidence loss of dendrites and neurotransmitter synthesis enzymes and develop accelerated accumulation of lipofuscin, consistent with a senescence-like phenotype in wake neurons. Normal aging results in a progressive loss of SIRT1 in wake-active neurons, temporally coinciding with lipofuscin accumulation. SIRT1 is a critical age-sensitive neuroprotectant for wake neurons, and its deficiency results in impaired wakefulness.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".