Macroporous Hydrogels for Tissue Engineering and Wound Care
Notice bibliographique
Résumé
Hydrogels are three-dimension networks of water-soluble polymer chains and have attracted interest in biomedical engineering, targeted drug delivery, tissue engineering, and regenerative medicine due to their ability to retain water coupled with their highly tunable physicochemical and biological properties. In the specific context of wound care, hydrogels can both maintain high wound hydration as well as absorb and manage wound exudate, both of which are major challenges in wound care. Hydrogel wound dressings can simultaneously deliver medication directly to the wound to suppress or treat infections, including antibiotic-resistant strains such as Methicillin-resistant S. aureus (MRSA). This thesis develops two wound care products that can address challenges in the selection and delivery of drugs to treat antibiotic-resistant strain infections: (1) in situ-gelling poly(oligoethylene glycol methacrylate) (POEGMA) hydrogel wound dressings containing self-assembled nanoparticles encapsulated with fusidic acid; and (2) an in situ calcium-crosslinked alginate scaffold produced using pressurized gas expanded liquids (PGX) technology impregnated with fusidic acid or tigecycline using supercritical adsorptive precipitation (sc-AP). The POEGMA hydrogel wound dressings helped supress MRSA infection and prevent systemic infection during the course of treatment, facilitating a 1-2 fold decrease in bacterial load in the wound bed. The sc-AP technology was shown to be compatible with loading clinically-relevant doses of both antimicrobial compounds, while the resulting wound dressings were effective in treating MRSA wound infections. In case of tigecycline loaded alginate scaffolds, the infection was completely cleared. In tissue engineering applications, injectable macroporous hydrogels are particularly limited by two factors: (1) their need for invasive administration, typically implantation; and (2) their generally weak mechanics. In the first case, reports of injectable hydrogels often involve toxic compounds or by-products that result in loss of cell viability. This thesis addresses this challenge by design and development of a POEGMA-based macroporous hydrogel scaffold based on a novel, non-cytotoxic pore forming emulsion based on perfluorocarbons. Use of the pore-forming emulsion significantly improved cell viability in vitro 14 days after injection and was well tolerated in vivo with minimal to no inflammatory response. In the second case, an interpenetrating “hard-soft” nanofibrous hydrogel network was fabricated by co-electrospinning POEGMA with poly(caprolactone) (PCL). The PCL phase significantly enhanced the mechanical properties of the electrospun POEGMA hydrogel scaffold making handling and manipulating the scaffolds possible, while the presence of the POEGMA phase significantly improved the biological properties of PCL scaffolds in terms of supporting significantly enhanced cell proliferation and delayed bacterial adhesion. Collectively, the advances made in this work address key challenges in the application of hydrogels in tissue engineering and wound care, with future potential to be applied to solve practical clinical challenges.
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 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,002 |
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 ».