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Enregistrement W2320686233 · doi:10.3389/conf.fbioe.2016.01.02678

Glypisomes, a novel construct for enhancing angiogenic response to delivered growth factors

2016· article· en· W2320686233 sur OpenAlexaboutno aff
Monteforte Anthony, Brian Lam, Das S, Somshuvra Mukhopadhyay, Catherine Wright, Martin Patricia, D. Luster Andrew

Notice bibliographique

RevueFrontiers in Bioengineering and Biotechnology · 2016
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueCancer, Lipids, and Metabolism
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineGerontologyNeovascularizationAngiogenesisDiseaseInternal medicinePharmacologyBioinformaticsBiology

Résumé

récupéré en direct d'OpenAlex

Event Abstract Back to Event Glypisomes, a novel construct for enhancing angiogenic response to delivered growth factors Anthony J. Monteforte1, Brian Lam1, Subhamoy Das1, Somshuvra Mukhopadhyay2, 3, 4, Catherine S. Wright5, Patricia E. Martin5, Andrew Dunn1 and Aaron B. Baker1, 4, 6 1 University of Texas at Austin, Biomedical Engineering, United States 2 University of Texas at Austin, Pharmacology & Toxicology, United States 3 University of Texas at Austin, Institute for Neuroscience, United States 4 University of Texas at Austin, Institute for Cellular and Molecular Biology, United States 5 Glasgow Caledonian University, Lifes Sciences and Institute for Applied Health Research, United Kingdom 6 University of Texas at Austin, The Institute for Computational Engineering and Sciences, United States Introduction: Ischemia is a common consequence of peripheral vascular disease, which affects more than 27 million patients in the United States[1]. Currently, surgical therapies exist for treatment of ischemia, but these treatments are prone to failure in the long term. Regenerative therapies that stimulate the growth of new vasculature have great potential for treating peripheral and myocardial ischemia. Growth factor based therapies that induce neovascularization have been successful in healthy animal models, but have limited success in clinical trials due. This discrepency may be linked to growth factor resistance associated with diseases that lead to peripheral vascular disease[2]. Here, we have developed a new method for enhancing the activity of growth factors in growth factor resistant disease states such as diabetes and hyperlipidemia. Our novel method delivers the growth factor co-receptor glypican-1 embedded in a liposomal carrier to create a glypican-1 proteoliposome (“glypisome”). Materials and Methods: Liposomes were prepared by resuspending a dried lipid film in HEPES buffer and extruding it through a 400 nm polycarbonate filter. Purified glypican-1 (48.8 µg/ml) was added to the liposome solution to create the glypisomes. Ischemia was induced in the hind limb of mice by ligating the femoral artery. The treatment was delivered by implanted alginate beads (FGF-2, glypisomes, or FGF-2 and glypisomes). Recovery of perfusion in the ischemic hind limb was monitored over 14 days using laser speckle. On day 14, the animals were sacrificed and the thigh and calf muscle tissue was isolated and process for paraffin sections. The sections were immunostained for PECAM to quantify neovascularization. Results and Discussion: In our healthy animal model we saw an increase of angiogenic response to FGF-2. Wild type mice treated with FGF-2 and glypisomes exhibited a significant increase in relative blood flow 7 and 14 days post injury (Figure 1A). Co-delivery of FGF-2 and glypisomes also led to a significant increase in small vessels in both the calf and thigh compared to FGF-2 alone, as well as a significant increase in large vessel density in the thigh muscle of mice (Figure 1B). For our disease model we used ob/ob mice, these mice are leptin deficient, obese and hyperlipidemic and are used as a model for diabetes. Ob/ob mice treated with FGF-2 and glypisomes exhibited a significant increase in relative blood flow compared to mice treated with just FGF-2 alone 3 and 14 days post injury (Figure 2A). Co-delivery of FGF-2 and glypisomes also led to a significant increase in small vessels in calf and large vessels in the thigh muscle compared to the alginate control (Figure 2B). Co-delivery of FGF-2 and glypisomes led to a significant increase in small vessels in the thigh when compared to FGF-2 alone (Figure 2B). Conclusion: Glypisomes delivered in combination with FGF-2 from an alginate gel increases revascularization of ischemic hind limb in both wild type and disease model mice. We see not only an increase in recovered blood flow relative to the contralateral control, but also an increase in overall vascular density in the thigh and calf muscle at 14 days post injury. Thus, locally delivered growth factors in combination glypisomes may be a promising approach for treating peripheral vascular disease and overcoming growth factor resistance. NIH; American Heart Association; The Welch FoundationReferences:[1] O'Donnell ME, et al Ulster Med J 2011. 80(1): pp 33-41[2] Das S, et al, Biomaterials 2014. 35(1): pp 196-205 Keywords: Regenerative Medicine, blood vessel, growth factor, in vivo tissue engineering Conference: 10th World Biomaterials Congress, Montréal, Canada, 17 May - 22 May, 2016. Presentation Type: General Session Oral Topic: Regenerative medicine: biomaterials for control of tissue induction Citation: Monteforte AJ, Lam B, Das S, Mukhopadhyay S, Wright CS, Martin PE, Dunn A and Baker AB (2016). Glypisomes, a novel construct for enhancing angiogenic response to delivered growth factors. Front. Bioeng. Biotechnol. Conference Abstract: 10th World Biomaterials Congress. doi: 10.3389/conf.FBIOE.2016.01.02678 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 27 Mar 2016; Published Online: 30 Mar 2016. Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Anthony J Monteforte Brian Lam Subhamoy Das Somshuvra Mukhopadhyay Catherine S Wright Patricia E Martin Andrew Dunn Aaron B Baker Google Anthony J Monteforte Brian Lam Subhamoy Das Somshuvra Mukhopadhyay Catherine S Wright Patricia E Martin Andrew Dunn Aaron B Baker Google Scholar Anthony J Monteforte Brian Lam Subhamoy Das Somshuvra Mukhopadhyay Catherine S Wright Patricia E Martin Andrew Dunn Aaron B Baker PubMed Anthony J Monteforte Brian Lam Subhamoy Das Somshuvra Mukhopadhyay Catherine S Wright Patricia E Martin Andrew Dunn Aaron B Baker Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.

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 candidatesaucune
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 enseignants0,294
Score d'incertitude au seuil0,633

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
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 Opus0,005
Tête enseignante GPT0,202
Écart entre enseignants0,197 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
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
Publié2016
Routes d'admission1
Résumé présentoui

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