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Micro/nano-scale strategies for engineering in vitro the celular microenvironment using biodegradable biomaterials

2011· dissertation· en· W2255693119 sur OpenAlexfundno aff
Daniela F. Coutinho

Notice bibliographique

RevueRepositóriUM (Universidade do Minho) · 2011
Typedissertation
Langueen
DomaineEngineering
Thématique3D Printing in Biomedical Research
Établissements canadiensnon disponible
Organismes subventionnairesEngineer Research and Development CenterSamsungSeoul National UniversityEuropean CommissionNational Science FoundationNational Institutes of HealthFundação para a Ciência e a TecnologiaFonds Québécois de la Recherche sur la Nature et les Technologies
Mots-clésNanotechnologyTissue engineeringBiodegradable polymerMaterials scienceEngineeringBiomedical engineeringPolymerComposite material
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Biological tissues result of a specific spatial organization of cells, extracellular matrix (ECM) molecules, and soluble factors. These micro and nanoscaled biological entities organize into regional tissue architectures, creating highly complex and heterogeneous cellular microenvironments. To generate functional tissue equivalents in vitro, engineered biomaterials should mimic the structural, chemical and cellular complexity by recapitulating the unique native microenvironments. Thus, the main goal of this thesis was to engineer biodegradable polymers using various micro and nanofabrication techniques, with specific structural, biochemical and cellular cues for improved performance. The main governing hypotheses of this thesis were: 1) substrates with improved structural properties can be engineered using biodegradable polymers that have previously shown good results in in vivo studies, 2) biochemical cues can be incorporated into biodegradable polymers, yielding biomaterials with integrated chemical cues for improved cellular performance, and 3) these structural and biochemical cues can be incorporated into a single system. To develop biomaterials with structural cues, micromolding of poly(butylene succinate) (PBS) was performed to engineer surfaces with features at a microscale that induced the alignment of human adipose stem cells. Although this polymeric material has been processed at a macroscale into scaffolds, this was the first report on the engineering of this material at a microscale, demonstrated by the development of twenty features with different dimensions. Improved substrates with structural cues were also engineered using the polysaccharide gellan gum (GG), which has been extensively studied at 3B’s Research Group. Microcapsules of GG, aimed at being used as drug or cell carriers and/or delivery agents, were engineered using a two-phase system. The principle of hydrophobic-hydrophilic repulsion forces was combined with a microfabrication process by means of a needle/syringe pump system. Microcapsules with different diameters were produced by varying the system parameters. As an original proof-of-concept, fluorescent beads, cell suspensions and cell aggregates were encapsulated within this microfabrication system. To develop biomaterials with enhanced biochemical cues, GG was chemically modified with ester bonds, yielding novel hydrogels crosslinkable by ultraviolet (UV) light. Methacrylated GG (MeGG) hydrogels were formed using physical and chemical mechanisms resulting in hydrogels with tunable mechanical properties, matching those of natural tissues from soft to hard, as the brain or collagenous bone. In a subsequent step, this material was combined with chitosan (CHT), a natural polysaccharide, resulting in a polyelectrolyte complex (PEC) hydrogel that combined the most advantageous properties of CHT and MeGG. PEC hydrogels are commonly formed by the interaction between the chains of oppositely charged polymers and are thus held together by ionic forces, which can be disrupted by changes in physiological conditions. However, in our new system, the biochemical cues earlier introduced in GG, allowed to crosslink the MeGG-CHT hydrogel using UV light, stabilizing the structure of the hydrogel. This rather important property also enabled for the development of microgels by photolithography. The encapsulation of rat cardiac fibroblasts within MeGG before PEC hydrogel production, led to the fabrication of microgels with combined biochemical, structural and cellular cues. The developed MeGG-CHT hydrogel was further engineered into a multi-hierarchical fibrous hydrogel by means of combining fluidics technology and chemistry principles of the interaction of two oppositely charged polymers. Two converging fluidic channels were used to extrude the MeGG-CHT hydrogel, formed by the assembly of the polymeric chains at the location where the channels converged. The resulting hydrogel closely mimicked the architecture of natural collagen fibers not only at a micro but also at a nanoscale. The developed hydrogel with relevant biological structural properties was enhanced by incorporating cell adhesive motifs (RGD peptides) into the MeGG backbone before processing. The research work described in this thesis addresses strategies to mimic several parameters of the native microenvironment of tissues. Biochemical and cellular cues were incorporated into biomaterials that were microprocessed with relevant biological micro and nanoscale features. In summary, the works reported in this thesis show the importance of combining different areas of knowledge into the development of improved systems for biomedical engineering applications. Undoubtfully, chemistry and micro and nanofabrication technologies are two areas of knowledge that allow the fabrication of micro and nanostructured materials. Herein, this synergy was achieved with a top-down approach (by micromolding, photolithography or fluidics technologies) and/or with a bottom-up approach (by the assembly of polymer chains). The last work of this thesis is the result of the original combination of both approaches for the development of enhanced micro and nanostructured biomaterials, thus presenting significant improved features compared to currently developed systems to be successfully used in several regenerative medicine approaches.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,011
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0010,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,014
Tête enseignante GPT0,228
Écart entre enseignants0,214 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2011
Routes d'admission1
Résumé présentoui

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