bioRxivBioengineeringPreprint
XWRAP Human Amniotic Membrane in Combination with an Amniotic-Fluid-Derived Biologic Promotes Collagen Fibril Regeneration in a Preclinical Rabbit Model of Medial Collateral Ligament Injury
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Abstract
Current treatment of orthopedic ligament injury relies principally on non-regenerative materials and surgical repair rather than strategies that promote intrinsic tissue regeneration. This study evaluated whether biologic augmentation with XWRAP, a human amniotic membrane allograft, combined with a cryopreserved amniotic-fluid-derived biologic containing micronized human amnion membrane, promotes regeneration of ligament architecture in a rabbit medial collateral ligament (MCL) gap-defect model. Standardized 4-mm mid-substance MCL gap defects were created in New Zealand White rabbits (n=3) and either treated with the amniotic membrane/amniotic-fluid biologic combination or left untreated, with intact contralateral or adjacent MCL serving as native controls; ligaments were evaluated by transmission electron microscopy at 2 and 6 weeks post-procedure, with collagen fibril diameter quantified from calibrated high-magnification micrographs. Treated defects developed significantly larger mean collagen fibril diameters than untreated defects at both time points (75 vs. 50 nm at 2 weeks and 88 vs. 62 nm at 6 weeks; p<0.0001 for each comparison), reaching approximately 90% of native, uninjured ligament fibril diameter (98 nm) by 6 weeks. Treated defects also developed a broader, bimodal fibril-diameter distribution resembling native ligament architecture, whereas untreated defects remained characterized by a narrow, unimodal population of small-diameter fibrils typical of scar-associated repair. These findings indicate that biologic augmentation with XWRAP combined with an amniotic-fluid-derived biologic promotes a regenerative, rather than purely reparative, healing response following ligament injury, progressively restoring collagen fibril architecture toward that of native tissue in this preclinical model.
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