Potentialisation des effets de composés phénoliques combinés de l’huile d’olive : étude des transformations redox. Application dans les maladies neurodégénératives
Bibliographic record
Abstract
Alzheimer and Parkinson diseases (AD and PD) are neurodegenerative disorders leading to cognitive function decline and curative treatments are still missing. Olive oil and related phenolic compounds consumption could prevent or slow down cognitive decline through neuronal preservation. Indeed, they have direct antioxidant properties as electrons or H-atom donors, which are largely suspected of being responsible for their biological effects, but also of some indirect properties as modulators of endogenous antioxidant defenses. The secoiridoid oleuropein and the monophenols tyrosol and p-coumaric acid have shown abilities to counteract oxidative injuries and associated neuronal death in several cellular and in vivo models. However, the basic mechanisms of action of phenolic compounds remain to be elucidated. In fact, phenolic compounds are highly sensitive to oxidative modifications and could be transformed into new compounds in an oxidative context. Cellular impacts of these products are rarely considered, probably because their intracellular detection is a great challenge and remain an important field to explore. Moreover, oleuropein, tyrosol and p-coumaric were individually evaluated in order to characterize their own reactivity towards ROS and their biological properties. However, the concentration ranges used to observe neuroprotection in cellular models (5 – 100 µM) were far from the possibly recovered phenolic concentration in plasma (0.5 - 2,8 ng /ml of plasma). To observe an effect with concentration range closer to the physiological ones, several antioxidant combinations could be proposed. Nevertheless, despite the biological promises of phenolic compounds from olive oil, studies which combined some of the most abundant phenolic compounds in the neuroprotection field is still missing. We thus hypothesized that the combination of oleuropein, tyrosol and p-coumaric acid in equimolar proportion (Mix 1) could potentiated their ROS scavenging and neuroprotective properties to counteract oxidative stress-induced neuronal death. These effects could be in part due to their oxidized metabolites. First, we demonstrated that the association of these three phenolic compounds potentiated their neuroprotective effects with efficient concentrations at 0.1 and 1µM, contrary to concentration ranges when there are used individually (5 to 10 higher). The Mix1 increase the reactivity of phenolic compounds towards ROS and decreases their intracellular production. These neuroprotective properties seems, at least in part, lead by a regulation of the endogenous redox factors. Then, we compared the behavior of Oleuropein, tyrosol and p-coumaric acid individually and in the Mix1 under acellular oxidative conditions. The oxidized Mix1 LC-ESI-MS2 profiles showed a regeneration of oleuropein through a decrease of the phenolic compounds oxidation rate and highlight the presence of specific oxidized products in Mix 1. This study also showed a significant neuroprotection of oxidized Ole and oxidized Mix1 with very low concentrations (1 and 5 nM), suggesting the putative relevant role of oxidized Ole products to protect or delay neuronal death. Our third objective was to evaluate if these oxidized metabolites could be produced in a biological system. Even under oxidative conditions, we recovered these compounds in cellular extracts under their native forms after few hours of treatments, attesting their accumulation in neuronal cells. Taking together, our results pointed out the relevance to study the phenolic compounds from a chemical and a biological point of view, which should always be as cellular redox reactions are between biological and chemical fields. Lastly, we confirmed the significance to take into account the oxidized metabolites from phenolic compounds to deeper understand their biological properties.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".