A New In Vitro Blood Flow Model for the Realistic Evaluation of Antimicrobial Surfaces
Publikation: Beitrag in Fachzeitschrift › Forschungsartikel › Beigetragen › Begutachtung
Beitragende
Abstract
Device-associated bloodstream infections can cause serious medical problems and cost-intensive postinfection management, defining a need for more effective antimicrobial coatings. Newly developed coatings often show reduced bacterial colonization and high hemocompatibility in established in vitro tests, but fail in animal studies or clinical trials. The poor predictive power of these models is attributed to inadequate representation of in vivo conditions. Herein, a new single-pass blood flow model, with simultaneous incubation of the test surface with bacteria and freshly-drawn human blood, is presented. The flow model is validated by comparative analysis of a recently developed set of antiadhesive and contact-killing polymer coatings, and the corresponding uncoated polycarbonate surfaces. The results confirm the model's ability to differentiate the antimicrobial activities of the studied surfaces. Blood activation data correlate with bacterial surface coverage: low bacterial adhesion is associated with low inflammation and hemostasis. Shear stress correlates inversely with bacterial colonization, especially on antiadhesive surfaces. The introduced model is concluded to enable the evaluation of novel antimicrobial materials under in vivo-like conditions, capturing interactions between bacteria and biomaterials surfaces in the presence of key components of the ex vivo host response.
Details
Originalsprache | Englisch |
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Aufsatznummer | 2301300 |
Fachzeitschrift | Advanced healthcare materials |
Jahrgang | 12 |
Ausgabenummer | 28 |
Publikationsstatus | Veröffentlicht - 10 Nov. 2023 |
Peer-Review-Status | Ja |
Externe IDs
PubMed | 37498721 |
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ORCID | /0000-0003-0189-3448/work/161890245 |
Schlagworte
ASJC Scopus Sachgebiete
Schlagwörter
- antimicrobial coatings, device-related bloodstream infections, immune responses, in vitro flow model, Staphylococcus aureus