Isolation and Chelation Activity of Plant Phenolic Root Exudates As Potential Clinical Iron Chelators
Notice bibliographique
Résumé
Abstract Introduction:Hemoglobinopathies such as β-Thalassemia (Thal) and other genetic disorders such as neurodegeneration with brain iron accumulation have complications of iron overload, which can impair vital processes such as cardiac and neurological function. In Thal, ineffective erythropoiesis leads to elevated gastrointestinal iron absorption and in severe cases may necessitate blood transfusions exacerbating the condition. Iron chelating agents such as deferoxamine (DFO), deferiprone, and deferasirox must be used, but can have unwanted side effects. While effective in treating iron overload, the increased risk of side effects at higher doses highlights the importance of finding new potent iron-chelating agents, either as replacements or as adjuvants. Plant based treatments may be better tolerated by patients, offering an alternative therapeutic approach. Plant secondary metabolites secreted from roots under iron limiting conditions may provide a novel source for this bioactivity. Plants rich in phenolic compounds and those tolerating alkaline soils, which necessitate efficient mobilization of soil-precipitated iron, are our focus here. The aim of this project is to functionally and analytically characterize naturally occurring plant root exudates as possible clinical iron chelators. Methods : We cultivated Populus trichocarpa ( Poplar), Thuja plicata (Western red-cedar), and Lavendula X intermedia (Lavender) cuttings under iron normal and iron limiting conditions. From their roots, exudates were isolated to characterize and determine their effectiveness as iron chelators. Total phenolic concentrations of exudates were evaluated using Folin-Ciocalteu reagent. The ferrozine assay was used as a competition assay to characterize total iron binding ability of root exudates and standard chelators, which was sensitive enough to differentiate chelation effectiveness between DFO, EDTA, and isolated root exudates at 800 nM. Furthermore, known plant iron chelators chlorogenic acid (CA), a phenolic, and the more lipophilic β-thujaplicin (hinokitiol) were compared to DFO, then used tomodel root exudates in a cell culture bioassay. The bioassay was developed using monocytic THP-1 cells (as an RE system model) to quantify intra- and extracellular iron, comparing iron uptake in cells exposed to varying concentrations of iron chelators as a way of evaluating chelation strengths of crude root exudates, β-thujaplicin, and CA in comparison to DFO. Results:Total phenolic production in P. trichocarpa root exudates increased significantly (p Conclusions: Exposing P. trichocarpa to an iron deficient environment resulted in plants that secreted root exudates with significantly higher level of phenolics and increased iron chelation ability. This was shown in the ferrozine competition assay where iron depleted root exudates showed higher binding affinity for iron when compared to the iron normal exudates resulting in an iron chelation ability similar to the known iron chelator EDTA. In the bioassay using THP-1 monocytic cells, testing the plant phenolic CA, there was reduction of intracellular iron comparable to DFO, whereas the lipophilic chelator β-thujaplicin increased cellular iron. Consequently, chelators such as CA exclude iron from being taken up by the cells, while more lipophilic chelators, like β-thujaplicin enable transport through membranes, and thus have the capacity to transport iron both into and out of cells. Thus, we have shown that plant root exudates can yield potential iron chelators and that in general plant phenolics have iron chelation capacity comparable to the classic iron chelator DFO. Disclosures Walter: Apopharma: Research Funding.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».