MP71-09 <i>IN VITRO</i> EVALUATION OF NOVEL SURFACE MODIFYING MOLECULES TO PREVENT BACTERIAL ADHESION TO UROLOGICAL DEVICES
Notice bibliographique
Résumé
You have accessJournal of UrologyInfections/Inflammation/Cystic Disease of the Genitourinary Tract: Kidney & Bladder I (MP71)1 Apr 2019MP71-09 IN VITRO EVALUATION OF NOVEL SURFACE MODIFYING MOLECULES TO PREVENT BACTERIAL ADHESION TO UROLOGICAL DEVICES Christopher Munday*, Alexandra Piotrowicz, Kyle MacDonald, Antonio Cillero, Jeannette Ho, John Denstedt, and Jeremy Burton Christopher Munday*Christopher Munday* More articles by this author , Alexandra PiotrowiczAlexandra Piotrowicz More articles by this author , Kyle MacDonaldKyle MacDonald More articles by this author , Antonio CilleroAntonio Cillero More articles by this author , Jeannette HoJeannette Ho More articles by this author , John DenstedtJohn Denstedt More articles by this author , and Jeremy BurtonJeremy Burton More articles by this author View All Author Informationhttps://doi.org/10.1097/01.JU.0000557121.99973.c9AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVES: Bacterial adhesion and biofilm formation on urological devices such as stents and catheters is an undesirable phenomena that can lead to device-related infection and other co-morbidities. A range of potential technologies utilizing both passive mechanisms and active antimicrobials have been developed to combat this issue, but clinical efficacy remains limited. The objective of this study was to investigate the ability of a novel passive surface modification technology using fluorinated surface modifying molecules (SMMs) to address this clinical need. METHODS: Polyurethane control and SMM-modified prototypes for testing (rods or catheter tubing) were prepared using standard melt extrusion processes. X-ray photoelectron spectroscopy confirmed the presence of SMMs at device surfaces. Efficacy of devices to resist bacterial adhesion was assessed using both static and flow models. Static experiments consisted of sample incubation in bacterial inoculum followed by sonication to detach adhered bacteria and quantification by plate counts. Flow experiments were conducted using a custom circulating flow system with artificial urine. RESULTS: SMM-modified prototypes showed up to 2 log lower microbial adhesion compared to unmodified controls after 2h incubation in buffer inoculated with various gram positive, gram negative bacteria or yeast. The anti-adhesive property of SMM prototypes was confirmed in both artificial and human urine with three uropathogens (Escherichia coli, Enterococcus faecalis, Proteus mirabilis), as well as in clinical urine samples from patients with ureteral stents, where SMM-modified samples showed reduced attachment of mixed bacterial populations after 24h of incubation. Experiments under flow demonstrated potential of SMM-modified surfaces to resist adhesion in dynamic environments and for extended time frames, with 5 log lower attachment of E. coli observed on SMM-modified tubing vs controls at both 1 and 3 days post inoculation. Corresponding reductions in biofilm formation were confirmed with crystal violet staining and scanning electron microscopy. CONCLUSIONS: Modification of urological devices with SMMs may be an effective strategy to reduce bacterial adhesion and biofilm formation. The passive nature of the SMMs is advantageous as it provides a stable surface not subject to depletion or de-activation of the functional entity over time, as may be the case for surfaces modified with eluting or active antimicrobials. Source of Funding: Mitacs Accelerate Postdoctoral Fellowship London, Canada; Toronto, Canada; London, Canada; Toronto, Canada; London, Canada© 2019 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 201Issue Supplement 4April 2019Page: e1049-e1049 Advertisement Copyright & Permissions© 2019 by American Urological Association Education and Research, Inc.MetricsAuthor Information Christopher Munday* More articles by this author Alexandra Piotrowicz More articles by this author Kyle MacDonald More articles by this author Antonio Cillero More articles by this author Jeannette Ho More articles by this author John Denstedt More articles by this author Jeremy Burton More articles by this author Expand All Advertisement PDF downloadLoading ...
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 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 | 0,000 |
| 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) | 0,000 | 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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, 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 ».