P3‐316: Anti‐apoptotic action of polyphenols derived from red wine and green tea against beta‐amyloid in hippocampal cells
Bibliographic record
Abstract
It has been suggested that accumulation of amyloid-beta (Aß) peptides into senile plaques plays a pivotal role in neuronal cell death occuring in Alzheimer's disease (AD). Aß produces two major types of programmed cell death (PCD) in vitro which requires the activation of effectors of caspase-dependent and -independent cell death pathways, namely caspase-3 and apoptosis inducing factor (AIF). Published data comparing the expression of AIF in post-mortem brains from AD patients and neurologically normal subjects in the course of aging suggest the relevance of AIF in the pathogenesis of AD Reix et al, Neurobiol Aging 28:351, 2007; Yu et al., Am. J. Path., in press). Recent epidemiological studies have reported that elderly people have a lower risk (up to 50%) to develop AD if they regularly eat fruits and vegetables and drink a moderate amount of tea and red wine. Numerous studies indicate that polyphenols derived from these foods and beverages account for the observed neuroprotective effects. In particular, polyphenols extracted from green tea (i.e. epigallocatechin gallate or EGCG) or red wine (i.e. resveratrol) blocked hippocampal cell death against Aß-induced toxicity (Bastianetto et al, Eur J Neurosci 23:55, 2006; Han et al, Br J Pharmacol 141:997, 2004). Our main objective is to determine whether concurrent inactivation of both main types of PCD may have additive therapeutic benefit in AD. Mixed hippocampal cell cultures were prepared from E19 fetuses obtained from Sprague-Dawley rats. They were grown in D-MEM high glucose containing 10% (v/v) fetal bovine serum. Experiments were performed in 6-day-old cultures. The 24-hour exposure of cultured hippocampal cells to Aß1-42 (15 μM) alone or in combination with either resveratrol (20 μM) or EGCG (10 μM) reduced Aß1-42-mediated increased expression of the 57 kDa death-inducing form of AIF. Moreover, EGCG completely inhibited the activation of the key apoptotic executioner, caspase-3, and reduce the number of apoptotic cells, whereas resveratrol was less effective. Our findings show that these polyphenols do not share the same mechanism of action, suggesting that a combination of EGCG and resveratrol might provide additional neuroprotection against Aß-associated cell death.
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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 | 0.001 |
| 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) | 0.002 | 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".