A Review on Natural Products for Controlling Type 2 Diabetes with an Emphasis on their Mechanisms of Actions
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Notice bibliographique
Résumé
The use of natural products is very common among non-industrialized societies because these remedies are more accessible and affordable than modern pharmaceuticals. In developed countries, use of herbal products has recently increased as scientific evidence about their effectiveness has become broadly available. For the past two decades many research articles in the field of ethno-pharmacology have focused on the anti-diabetic effects of some natural products. This dramatic increase of interest was partly due to the fact that type 2 diabetes mellitus (T2DM) was considered as becoming a global epidemic health problem which imposed high cost to national health services around the world. We have no intention to advocate for replacing conventional pharmacotherapy with natural products to prevent and control T2DM. However, the fact that a lack of highly effective drug-therapy with existing synthetic agents and their resulting adverse effects motivated further search into traditional medicine in order to re-evaluate old remedies as well as screening to find new natural entities to be used as anti-diabetic products cannot be ignored. Some recent reports on the natural products with anti-diabetic effects have provided evidence for possible mechanisms of action. Nonetheless, the majority of investigators only speculated on a wide range of possible mechanisms or simply demonstrated an anti-hyperglycemic effect for the crude plant extracts or the isolated compounds of interest. A few reviews with less attention paid to mechanisms of action have been published on medicinal plants and diabetes. This article reviews publications on anti-diabetic natural products that have appeared in PUBMED or other research-related literature found on the Internet (from 1990 to present) to categorize them based on their mechanisms of action. We hope that this communication will be beneficial as a starting point to consider the discussed products for further investigations to identify and develop new remedies with potential alternative or complementary use in controlling T2DM.
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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 | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,008 | 0,001 |
| Bibliométrie | 0,000 | 0,001 |
| 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 | 0,001 |
| 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 découle