3-D Matrix. has filed a patent for a method using self-assembling peptide matrix, PuraSinus, to reduce complications post-endoscopic sinus surgery. By applying the solution during or after surgery, the gel formed aids in hemostasis and prevents issues like synechiae formation. GlobalData’s report on 3-D Matrix gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on 3-D Matrix, Cyclosporin derivatives was a key innovation area identified from patents. 3-D Matrix's grant share as of January 2024 was 31%. Grant share is based on the ratio of number of grants to total number of patents.
Self-assembling peptide matrix for reducing complications in endoscopic surgery
A recent patent application (Publication Number: US20230365625A1) discloses a method for reducing negative outcomes following endoscopic turbinoplasty or Functional Endoscopic Sinus Surgery (FESS) in a subject. The method involves applying self-assembling peptides (SAP) in solution, chosen from a specific list, via a catheter to the surgically affected area in the turbinate. This application results in the formation of a transparent, resorbable viscous gel that reduces negative sequelae from the surgical procedures.
Furthermore, the patent claims highlight various benefits of the method, including a reduction in post-surgical synechiae formation, improved healing metrics over weeks post-surgery, immediate cessation of bleeding without additional hemostatic agents, prevention of sinus orifice blockages, and resolution of post-operative conditions atraumatically. The method also ensures that the subject does not experience pain or discomfort following the surgical procedure. These claims suggest that the application of SAP solution during or immediately after endoscopic turbinoplasty or FESS can significantly improve patient outcomes and reduce complications associated with these procedures.
To know more about GlobalData’s detailed insights on 3-D Matrix, buy the report here.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies
