| Literature DB >> 35080915 |
Ujjal Didar Singh Sekhon1, Kelsey Swingle1, Aditya Girish1, Norman Luc1, Maria de la Fuente2, Jurgis Alvikas3, Shannon Haldeman3, Adnan Hassoune3, Kaisal Shah4, Youjoung Kim1,5, Steven Eppell1, Jeffrey Capadona1,5, Andrew Shoffstall1,5, Matthew D Neal3, Wei Li6, Marvin Nieman2, Anirban Sen Gupta1,2.
Abstract
Treatment of bleeding disorders using transfusion of donor-derived platelets faces logistical challenges due to their limited availability, high risk of contamination, and short (5 to 7 days) shelf life. These challenges could be potentially addressed by designing platelet mimetics that emulate the adhesion, aggregation, and procoagulant functions of platelets. To this end, we created liposome-based platelet-mimicking procoagulant nanoparticles (PPNs) that can expose the phospholipid phosphatidylserine on their surface in response to plasmin. First, we tested PPNs in vitro using human plasma and demonstrated plasmin-triggered exposure of phosphatidylserine and the resultant assembly of coagulation factors on the PPN surface. We also showed that this phosphatidylserine exposed on the PPN surface could restore and enhance thrombin generation and fibrin formation in human plasma depleted of platelets. In human plasma and whole blood in vitro, PPNs improved fibrin stability and clot robustness in a fibrinolytic environment. We then tested PPNs in vivo in a mouse model of thrombocytopenia where treatment with PPNs reduced blood loss in a manner comparable to treatment with syngeneic platelets. Furthermore, in rat and mouse models of traumatic hemorrhage, treatment with PPNs substantially reduced bleeding and improved survival. No sign of systemic or off-target thrombotic risks was observed in the animal studies. These findings demonstrate the potential of PPNs as a platelet surrogate that should be further investigated for the management of bleeding.Entities:
Mesh:
Year: 2022 PMID: 35080915 PMCID: PMC9179936 DOI: 10.1126/scitranslmed.abb8975
Source DB: PubMed Journal: Sci Transl Med ISSN: 1946-6234 Impact factor: 19.319