Aim Of The Study: A major limitation of currently available bioprosthetic valves is their propensity to calcify. At present, one approach in tissue-engineering, uses decellularized, xenogenic scaffolds that are implanted, with the expectation of complete matrix repopulation in vivo. Whether or not such a decellularized matrix will be sufficiently endowed to prevent calcification is unknown.
Materials And Methods: This study examines the calcification potential of xenogenic biological scaffolds from two species, namely pigs (n=3) and kangaroos (n=3) in the sheep model and compared them to a commercially available glutaraldehyde treated porcine bioprosthetic valve (Toronto SPV) (n=3).
Results: Valves and matrices were explanted after 120 days. Histologically (H&E and Von Kossa stain) more calcium was found in the acellular matrices. The mean calcium content (mg/g-dw) of the Toronto SPV valve leaflets was 2.63 mg/g-dw compared to 43.81 mg/g-dw (P=0.12) in kangaroo and 105.08 mg/g-dw (P=0.004) in porcine matrices. On electron microscopy calcific deposits were located between as well as in close association with the collagen fibers in all tissue. In contrast to the cross-linked gluteraldehyde fixed bioprostheses both matrices showed strong immune IgG reaction.
Conclusion: Toronto SPV valves calcified significantly less than the tested biological matrices irrespective of species of origin. Surprisingly, xenogenic decelullarized scaffolds are inherently prone to calcification due to a strong immunogenicity.
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http://dx.doi.org/10.1510/icvts.2006.136267 | DOI Listing |
J Immunother Cancer
March 2023
The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Background: The phase I first-in-human study ENGAGE-1 evaluated the humanized IgG1 OX40 agonistic monoclonal antibody GSK3174998 alone (Part 1 (P1)) or in combination with pembrolizumab (Part 2 (P2)) in patients with advanced solid tumors.
Methods: GSK3174998 (0.003-10 mg/kg) ± pembrolizumab (200 mg) was administered intravenously every 3 weeks using a continuous reassessment method for dose escalation.
Cardiovasc Pathol
June 2021
Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padua, Italy. Electronic address:
Background: Aortic stentless bioprosthetic valve (SLBPV), either porcine or pericardial, minimizes transvalvular gradient and favors regression of left ventricular hypertrophy. The drawback consists of longer time for suturing. While structural valve deterioration (SVD) in stented porcine and pericardial BPVs has been extensively investigated, less information is available on SLBPVs.
View Article and Find Full Text PDFJ Card Surg
September 2020
Division of Cardiac Surgery, Schulich Heart Centre, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada.
Background And Aim Of The Study: The purpose of this study is to examine the long-term durability of the Toronto stentless porcine valve (SPV) in the aortic position (St Jude Medical, Minneapolis, MN).
Methods: We assessed the long-term clinical outcomes of 515 patients with aortic valve replacement (AVR) with the Toronto SPV from 1987 to 2001 at two centers, excluding early (<30 days) death. Median follow-up was 11.
Gen Thorac Cardiovasc Surg
May 2018
Department of Cardiovascular and Thoracic Surgery, Pitié Salpêtrière University Hospital, Assistance Publique, Hôpitaux de Paris (APHP), Institut de Cardiologie, Paris, France.
Controversy still surrounds the optimal biological valve substitute for aortic valve replacement. In light of the current literature, we review advantages and optimal indications of stentless compared to stented aortic bio-prostheses. Recent meta-analyses, prospective randomized controlled trials and retrospective studies comparing the most frequently used stentless and stented aortic bio-prostheses were analyzed.
View Article and Find Full Text PDFJ Clin Epidemiol
June 2015
Department of Public Health, Erasmus MC-University Medical Center Rotterdam, 's-Gravendijkwal 230 3015 CE, Rotterdam, The Netherlands.
Objectives: To determine the number of independent variables that can be included in a linear regression model.
Study Design And Setting: We used a series of Monte Carlo simulations to examine the impact of the number of subjects per variable (SPV) on the accuracy of estimated regression coefficients and standard errors, on the empirical coverage of estimated confidence intervals, and on the accuracy of the estimated R(2) of the fitted model.
Results: A minimum of approximately two SPV tended to result in estimation of regression coefficients with relative bias of less than 10%.
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