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Shazly T, Uline M, Webb C, Pederson B, Eberth JF, Kolachalama VB. Novel Payloads to Mitigate Maladaptive Inward Arterial Remodeling in Drug-Coated Balloon Therapy. J Biomech Eng 2023; 145:121004. [PMID: 37542712 PMCID: PMC10578076 DOI: 10.1115/1.4063122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 08/03/2023] [Accepted: 08/03/2023] [Indexed: 08/07/2023]
Abstract
Drug-coated balloon therapy is a minimally invasive endovascular approach to treat obstructive arterial disease, with increasing utilization in the peripheral circulation due to improved outcomes as compared to alternative interventional modalities. Broader clinical use of drug-coated balloons is limited by an incomplete understanding of device- and patient-specific determinants of treatment efficacy, including late outcomes that are mediated by postinterventional maladaptive inward arterial remodeling. To address this knowledge gap, we propose a predictive mathematical model of pressure-mediated femoral artery remodeling following drug-coated balloon deployment, with account of drug-based modulation of resident vascular cell phenotype and common patient comorbidities, namely, hypertension and endothelial cell dysfunction. Our results elucidate how postinterventional arterial remodeling outcomes are altered by the delivery of a traditional anti-proliferative drug, as well as by codelivery with an anti-contractile drug. Our findings suggest that codelivery of anti-proliferative and anti-contractile drugs could improve patient outcomes following drug-coated balloon therapy, motivating further consideration of novel payloads in next-generation devices.
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Affiliation(s)
- Tarek Shazly
- College of Engineering and Computing, Biomedical Engineering Program, University of South Carolina, Columbia, SC 29208; College of Engineering and Computing, Department of Mechanical Engineering, University of South Carolina, Columbia, SC 29208; Cardiovascular Translational Research Center, University of South Carolina, Columbia, SC 29208
| | - Mark Uline
- College of Engineering and Computing, Biomedical Engineering Program, University of South Carolina, Columbia, SC 29208; Cardiovascular Translational Research Center, University of South Carolina, Columbia, SC 29208; College of Engineering and Computing, Department of Chemical Engineering, University of South Carolina, Columbia, SC 29208
| | - Clinton Webb
- College of Engineering and Computing, Biomedical Engineering Program, University of South Carolina, Columbia, SC 29208; Cardiovascular Translational Research Center, University of South Carolina, Columbia, SC 29208; School of Medicine, Department of Cell Biology and Anatomy, University of South Carolina, Columbia, SC 29208
| | - Breanna Pederson
- College of Engineering and Computing, Biomedical Engineering Program, University of South Carolina, Columbia, SC 29208
| | - John F. Eberth
- Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA 19104
| | - Vijaya B. Kolachalama
- Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118; Department of Computer Science and Faculty of Computing and Data Sciences, Boston University, Boston, MA 02115
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