Hypercaloric diet modulates hippocampal electrophysiological responses in a rat model of Alzheimer's Disease
Bibliographic record
Abstract
BACKGROUND: Alzheimer's disease (AD) is characterized by impaired glucose metabolism, leading to neuronal energy deficits and disrupted neuronal network activity. Interventions aimed at normalizing metabolism are thus garnering increased research interest. Given that obesity is a known comorbidity of AD, we investigated how exposure to a high-calorie, high-fat (HCHF) diet affects neuronal function in the established stage of AD pathology in the TgF344-AD rats. METHOD: TgF344-AD (TgAD) and wild-type (nTg) rats were fed either a standard chow diet; or a standard chow with a rotating set of HCHF diet items. After 3 months on the diet, neuronal activity in the somatosensory cortex and hippocampus was simultaneously recorded using Neuropixels electrodes. Local field potentials (LFPs) and spiking activity were analyzed at rest and in response to a 3Hz electrical stimulation of the forepaw. We reported stimulus-evoked changes in spectral power, phase-amplitude coupling (modulation index, MI), and spiking rate to evaluate how the HCHF diet modulates neuronal activity and network dynamics in the presence/absence of the transgenes. RESULT: LFPs of chow-fed TgAD rats exhibited reduced resting alpha power and attenuated stimulation-induced power increases (in delta, theta, and alpha bands) compared to nTg rats. HCHF feeding restored resting theta and alpha power in TgAD rats and enhanced stimulus-induced power changes across delta, theta, and alpha bands. In the hippocampus, exposure to HCHF increased baseline theta and alpha power and potentiated MI (delta-gamma, theta-gamma) in TgAD rats. in response to forepaw stimulation in nTg rats. In response to forepaw stimulation, chow-fed TgAD rats showed exaggerated MI changes compared to chow-fed nTg rats, while HCHF feeding attenuated stimulation-induced MI changes in both cohorts. While the HCHF diet attenuated spiking responses to forepaw stimulation in AD-affected hippocampus, it had no effect in the cortex, where TgAD rats exhibited an overall lower response in their spiking activity. CONCLUSION: The HCHF diet partially rescues AD-related deficits in neuronal activity by restoring baseline power and synchronization, suggesting that the HCHF diet may serve as a metabolic intervention by transiently normalizing neuronal activity in the metabolically-challenged AD brain while being detrimental in normal aging.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".