Mussel-inspired mucoadhesive hydrogels for drug delivery
Notice bibliographique
Résumé
A controlled drug delivery system can deliver a drug with the right dose, control its release rate and time, and target the site of action in the body.Chitosan (CS) and its derivatives have been extensively used in drug delivery.Additionally, CS is mildly mucoadhesive, i.e. it can stick to mucus.Many drug delivery routes such as oral, buccal, and rectal delivery exploit the presence of a mucosa to deliver the drug.Drug delivery systems made from mucoadhesive materials can stick to the mucosa, thus prolonging the retention of drugs on site and allowing a sustained release of the loaded drugs.CS-based mucoadhesive drug delivery systems have shown improved therapeutic effects in many applications.Recently, the strong adhesion of marine mussels under the sea inspired the development of several water-resistant adhesives.The catechol groups present in large amount in the mussel adhesive proteins contribute to the outstanding adhesion of mussels on many different surfaces.Catechols also interact with biological surfaces, including mucus.These findings inspired us to use catechol-CS mucoadhesive systems to facilitate drug delivery.This was the first time that catechol groups were used to improve the mucoadhesion and thus the efficacy of a drug delivery system.In this work, we developed three types of catechol-containing CS hydrogels as mucoadhesive drug delivery systems for oral, buccal and rectal drug delivery.We introduced catechols into CS hydrogels by simple physical mixing or covalent conjugation.We assessed the efficacy of catechol-containing hydrogels as drug delivery systems and their mucoadhesion both in vitro and in vivo.Our first study showed that simple physical mixing of hydrocaffeic acid in CS-based hydrogels enhanced the mucoadhesion of the gels.The electrostatic interaction between hydrocaffeic acid and CS caused a slow release of this molecule from the CS hydrogel, and enhanced the adhesion of CS on mucus.The mucoadhesion of this hydrogel can be further increased in the presence of oxidizing agents during the contact with mucin.However, if the gel is oxidized before contacting mucin, there is no mucoadhesion enhancement.In our second study we developed a chemically conjugated catechol-CS (Cat-CS) hydrogel crosslinked by genipin.In this case, the immobilized catechols were not released from the gel.This system showed good mechanical properties and great mucoadhesion both in vitro and in vivo.Using this mucoadhesive hydrogel, we succeeded in delivering lidocaine to rabbits through the buccal mucosa.Differently from gels made with unmodified CS, this system established an intimate contact with the rabbit buccal mucosa, achieved a sustained release of the drug, and maintained the drug concentration in the blood at a relatively high level during the 2 h experiment.In our third study we developed an injectable sulfasalazine (SSZ) loaded Cat-CS hydrogel formulation for rectal treatment of ulcerative colitis (UC).In UC mice, rectal SSZ/Cat-CS formulation showed better therapeutic effects with only 50% of the normal oral dose.Most importantly, this formulation reduced the plasma levels of the SSZ metabolite sulfapyridine, which is associated with many side effects of SSZ and toxicity.Thus, these results proved the great potential of mucoadhesive SSZ/Cat-CS rectal formulation in UC treatment.Overall, we developed mussel-inspired catechol-containing CS hydrogels that improved the mucoadhesion and thus the drug efficacy and therapeutic effects in drug delivery.iii
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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 ».