Fucoidan inhibits cellular and neurotoxic effects of β‐amyloid (Aβ) in rat cholinergic basal forebrain neurons
Bibliographic record
Abstract
The deposition of beta-amyloid protein (A beta), a 39-43 amino acid peptide, in the brain and a loss of cholinergic neurons in the basal forebrain are pathological hallmarks of Alzheimer's disease (AD). Seaweeds consumed in Asia contain Fucoidan, a sulfated polysaccharide. Fucoidan has been known to exhibit various biological actions, such as an anti-inflammatory and antioxidant action. In this study, using whole-cell patch clamp recordings we examined the effects of Fucoidan on A beta-induced whole-cell currents in acutely dissociated rat basal forebrain neurons. We further investigated whether Fucoidan is capable of blocking A beta neurotoxicity in primary neuronal cultures. In dissociated cells, bath application of A beta(25-35) (1 microM) caused a reduction of the whole-cell currents by 16%. Fucoidan, in a dose-dependent manner, blocks the A beta(25-35) reduction of whole-cell currents. Exposure of A beta(25-35) (20 microM) or A beta(1-42) (20 microM) to rat cholinergic basal forebrain cultures for 48 h resulted in 40-60% neuronal death, which was significantly decreased by pretreatment of cultures with Fucoidan (0.1-1.0 microM). Fucoidan also attenuated A beta-induced down-regulation of phosphorylated protein kinase C. A beta(1-42)-induced generation of reactive oxygen species was blocked by prior exposure of cultures to Fucoidan. Furthermore, A beta activation of caspases 9 and 3, which are signaling pathways implicated in apoptotic cell death, is blocked by pretreatment of cultures with Fucoidan. These results show that Fucoidan is able to block A beta-induced reduction in whole-cell currents in basal forebrain neurons and has neuroprotective effects against A beta-induced neurotoxicity in basal forebrain neuronal cultures.
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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) | 0.001 | 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".