FNDC5/irisin expression stimulates neuroprotective pathways in hippocampal neurons and associates with Alzheimer’s disease pathology
Bibliographic record
Abstract
Abstract Background Irisin is an exercise‐linked myokine produced by cleavage of the membrane precursor fibronectin type III domain‐containing protein 5 (FNDC5) in skeletal muscle, brain, and other tissues. Recently, irisin has been identified as a key molecule for exercise‐induced neuroprotection in mouse models of Alzheimer’s disease (AD). However, the role of FNDC5/irisin in AD pathology has not yet been comprehensively explored. Here, we investigated potential mechanisms underlying neuroprotection induced by FNDC5/irisin in AD. Method Primary rat hippocampal neuronal cultures were transduced with adenoviral vectors to express FNDC5 (AdFNDC5) or GFP (as a control) or exposed to recombinant irisin (25 nM) for defined timepoints. Brain‐derived neurotrophic factor (BDNF) levels were measured by ELISA; extracellular signal‐regulated kinase 1/2 (ERK 1/2) phosphorylation was determined by Western blotting; and the effects of irisin on amyloid‐β oligomers (AβO)‐induced reactive oxygen species (ROS) accumulation was determined by the DCF fluorescence. Finally, we analyzed RNA‐seq data from human postmortem hippocampi within The Aging, Dementia and Traumatic Brain Injury Study to determine potential correlations between FNDC5 gene expression and AD pathology. Result We found that irisin stimulates extracellular BDNF accumulation, ERK 1/2 phosphorylation (i.e. activation) and prevents AβOs‐induced ROS accumulation in primary hippocampal neurons. Analysis of RNA‐seq data indicates that hippocampal FNDC5 gene expression is reduced with aging and tau (assessed by Braak neuropathological scale and hippocampal phospho‐tau immunoreactivity), but not with amyloid pathology in humans. Conclusion These results indicate potential mechanisms by which FNDC5/irisin signaling promotes neuroprotection and support the notion that stimulation of irisin signaling may be beneficial against neurodegeneration in AD.
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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".