Next generation platelet storage bags for better and safer transfusions
Notice bibliographique
Résumé
Abstract Platelet transfusion is a lifesaving medical procedure in contexts ranging from hemorrhagic bleeding to chemotherapy. However, platelet supply, shelf life, and quality remain challenging problems for blood banks globally. Platelets have limited shelf lives throughout which their quality rapidly degrades, a phenomenon known as the platelet storage lesion (PSL). Another longstanding and life-threatening complication of platelet transfusion and storage is bacterial contamination and growth, leading to infection and sepsis post-transfusion. These challenges result in high wastage rates of platelets (~20% in Canada) and chronic shortages globally. Furthermore, current state-of-the-art pathogen reduction and antiseptic technologies cannot consistently eliminate all bacteria present in platelet concentrates. To address these challenging problems, this research aims to develop next-generation platelet storage bags capable of self-sterilizing from bacteria while extending platelet shelf life, thereby improving the supply, safety, and efficacy of platelet transfusions. To address these challenging problems, this project aims to develop next-generation blood storage bags capable of eliminating bacteria while extending the blood's shelf life. We have developed a line of universally applicable coatings based on the co-assembly of polydopamine with a library of ultra-high molecular weight hydrophilic polymers (uHHPs) in water that prevent both platelet and bacterial adhesion on storage units. These coatings can be deposited in one step in water, and do not leach, providing a practical approach do developing bioactive coatings with widespread functionality that can be deposited on myriad materials in medical devices, including blood storage bags. Our group has screened a wide library of UHHPs for the polydopamine coatings and identified 3 coatings that demonstrate excellent long-term biocompatibility with platelet concentrates, showing no significant decreases in quality markers when compared to industry-standard storage bags (metrics including CD62P and phosphatidylserine display, blood gas analysis of O2, CO2, pH, glucose, and lactate, rotational thromboelastometry using EXTEM and INTEM, or aggregometry with ADP, thrombin, or TxA2). Proteomic characterization of the protein coronas formed on the surface of the uncoated and coated bags revealed stark differences in surface proteomes, yet notably, these did not manifest in differences in platelet storage quality, suggesting that the species and quantity of proteins adhered does not impact platelet storage quality. Using the platelet-compatible coatings, we have developed blood storage bags conjugated with novel antimicrobial peptides (AMPs), identified through a library screen, that render the blood bags self-sterilizing. Platelet concentrates coated with AMP-coupled coatings using the AMPs E6- and Tet20 eliminated 100 CFU/mL Staphylococcus epidermidis 24 h, with no significant decreases in quality for platelets in coated units, whether the bags were inoculated with bacteria or not. Coated bags containing leukoreduced whole blood reduced S. epidermidis growth and did not demonstrate significant decreases in quality either. Collectively, this data is a proof-of-concept that AMP-coupled coatings can act as a platform for the development of self-sterilizing blood bags. The development of a next-generation platelet storage bag capable of self-sterilization holds immense promise for blood banking systems globally, as platelet shortages remain a chronic challenge and blood contamination persists despite best efforts. Furthermore, this technology may act as the basis for the development of future bioactive platelet storage bags that actively combat the PSL or combat other relevant bloodborne pathogens.
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 | 0,000 | 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 | 0,000 |
| 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 ».