Acute Exercise Rescues Cortex BDNF Signaling In High Fat Fed Male Mice
Bibliographic record
Abstract
High fat diet induced obesity and insulin resistance have been directly implicated in the neuropathology of Alzheimer's disease. It is thought that high fat diets induce a reduction in neuronal plasticity through a reduction in the neurotrophin, brain‐derived neurotrophic factor (BDNF). Previous work has demonstrated that acute exercise can reverse high fat diet induced alterations in cortices from obese mice, however the underlying mechanisms remain unknown. The purpose of this study was to determine the effects of a single bout of exercise on BDNF content and signaling in the prefrontal cortex from obese insulin resistant mice. Male C57BL/6 mice were fed a low (LFD, 10% kcals from lard) or a high fat diet (HFD, 60% kcals from lard) for 7 weeks. The HFD increased body mass and glucose intolerance (p<0.05). HFD mice underwent an acute bout of exercise (treadmill running: 15m/min, 5% incline, 120min) followed by a recovery period of 2 hours, after which point the prefrontal cortex was collected. Prefrontal cortex from HFD mice demonstrated lower BDNF protein content and phosphorylation of the BDNF receptor (TrkB) and downstream effector cAMP response element‐binding protein (CREB), as well as PGC‐1alpha and ER‐alpha protein content (p<0.05). Two hours following the acute exercise bout there was no change in BDNF protein content or mRNA expression. Further, there was no effect of exercise on the gene expression of PGC‐1alpha or ER‐alpha. However, TrkB and CREB phosphorylation, as well as PGC‐1alpha and ER‐alpha protein content were recovered (p<0.05). Our findings demonstrate for the first time that an acute bout of exercise can increase BDNF signaling in the prefrontal cortex of obese male mice. Support or Funding Information Rebecca EK MacPherson was supported by an Alzheimer's Society post‐doctoral fellowship as well as a research grant from the Alzheimer Society Foundation of Brant, Haldimand Norfolk, Hamilton and Halton.
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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 | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".