EVALUATION OF IN VITRO ANTI-INFLAMMATORY, ANTI-DIABETIC AND ANTI-LIPOGENIC ACTIVITY OF NATURAL POLYPHENOLIC EXTRACTS AND THEIR PURE CONSTITUENTS
Notice bibliographique
Résumé
The long-term goals and objectives of our group are to identify bioactive natural products relevant to human disease prevention and health promotion. To attain this goal, the objective of this thesis was to demonstrate that bioactive polyphenol-rich extracts or preparations exert positive health benefits beyond basic nutrition, thus impacting overall health and wellness. We believe that this project has immense scientific merit from a human health perspective and will be of great public impact given that consumers are seeking natural and organic choices for improving health. In this investigation, we have focused our attention on investigating the biological activities of two novel phenolic-rich preparations derived from curcumin and maple syrup for future nutraceutical applications. The work herein assessed the anti-inflammatory properties of novel standardized curcumin formulation Longvida® and phenolic-enriched maple syrup extract using a well-known in vitro model of inflammation, lipopolysaccharide (LPS)-induced RAW 264.7 murine macrophages. RAW 264.7 cells were co-treated with 50 ng/mL LPS and test extracts for 24 hours and then inflammatory markers were measured using supernatants, gene and protein expression. The activation of nuclear factor-kappa B (NFκB) was measured using luciferase activity. Both polyphenolic extracts were able to alleviate the LPS stimulated inflammation by down-regulating the inflammatory markers via targeting nuclear factor-kappa B (NFκB) (a major pathway modulated in inflammation) transcriptional activity in murine macrophages. Next, the work herein studied the anti-hyperglycemic and anti-lipogenic properties of novel standardized nutraceutical grade phenolic rich extract, MSX. Human HepG2 cells were treated with the MSX for 24 h. Glucose consumption, AMP activated protein kinase (AMPK) activation and its target gluconeogenic gene expression were measured. The glucose levels were reduced by MSX in the hepatocytes though AMPK activation. Subsequently, the anti-lipogenic effect of MSX treatment in mature differentiated 3T3-L1 murine adipocytes and human visceral adipocytes was evaluated. MSX treatment to mature adipocytes decreased lipid accumulation compared to control in both murine and human adipocytes. In 3T3-L1 adipocytes, this effect was associated with downregulation of adipo/lipogenic protein expression (e.g. PPARγ, Srebp1c). We also observed reduced mRNA expression of the pro-inflammatory mediators, namely IL-6, and TNF-α. Taken together, we demonstrated that a novel maple syrup extract exhibited anti-inflammatory, anti-hyperglycemic and anti-lipogenic activities in vitro. The current study adds to the growing body of in vitro and in vivo data supporting the biological effects and potential health benefits of the novel curcumin formulation Longvida® and the natural sweetener, maple syrup.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| 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) | 0,001 | 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 source (Gemma direct ou Codex distillé), 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 ».