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“Self-fitting” Shape Memory Polymer Scaffolds to Treat Craniomaxillofacial (CMF) Bone Defects

“Self-fitting” Shape Memory Polymer Scaffolds to Treat Craniomaxillofacial (CMF) Bone Defects

The Right Fit, the Best Healing

Cranio-maxillofacial (CMF) defects (as well as other types bone defects) can result from traumatic injury, infection, tumor removal, surgical burr holes, or congenital bone disease. The current gold standard to treat CMF bone defects is with autografts, but these suffer from limited availability, complex harvesting procedures as well as donor site morbidity. A particular difficulty is shaping and fixing the rigid autograft tightly into the defect so as to prevent premature resorption. Regenerative engineering represents a promising alternative to heal CMF bone defects.

What we are doing

We are developing “self-fitting” scaffolds based on shape memory polymers (SMPs) that conformally fit into defects following the mere exposure to warm saline.

“Self-fitting” Shape Memory Polymer Scaffolds to Treat Craniomaxillofacial (CMF) Bone Defects

Related Publications

Direct ink writing of porous shape memory polyesters

Raghuvaran, G.; Nischke, B.M.; Roberts, C.T.; Grunlan, M.A.; Pentzer, E.B. “Direct ink writing of porous shape memory polyesters,” Mater. Adv. 2024, 5, 5763-5771.

[DOI]

Star-PCL shape memory polymer (SMP) scaffolds with tunable transition temperatures for enhanced utility

Roberts, C.T.; Beck, S.K.; Prejean, C.M.; Graul, L.M.; Maitland, D.J.; Grunlan, M.A. “Star-PCL shape memory polymer (SMP) scaffolds with tunable transition temperatures for enhanced utility,” J. Mater. Chem. B. 2024, 12, 3694-3702.

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Trends in bioactivity: Inducing and detecting mineralization of regenerative polymeric scaffolds

Nitschke, B.M.; Beltran, F.O.; Hahn, M.S.; Grunlan, M.A. “Trends in bioactivity: Inducing and detecting mineralization of regenerative polymeric scaffolds,” J. Mater. Chem. B. 2024, 12, 2720-2736.

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High-throughput screening of thiol–ene click chemistries for bone adhesive polymers

Ganabady, K.; Contessi Negrini, N.; Scherba, J.C.; Nitschke, B.M.; Alexander, M.R.; Vining, K.H.; Grunlan, M.A.; Mooney, D.J.; Celiz, A.D. “High throughput screening of thiol-ene click chemistries for bone adhesive polymers,” ACS Appl. Mater. & Interfaces, 2023, 15, 44.

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Enhanced degradation and bioactivity in polysiloxane-based shape memory polymer (SMP) scaffolds

Beltran, F.O.; Arabiyat, A.S.; Culibrk, R.A.; Yeisley, D.J.; Houk, C.J.; Hicks, A.J.; Negron-Hernandez, J.; Nitschke, B.M.; Hahn, M.S.; Grunlan, M.A. “Enhanced degradation and bioactivity in polysiloxane-based shape memory polymer (SMP) scaffolds,” Polymer, 2023, 284, 126291

[DOI]

Comparative evaluation of mesenchymal stromal cell growth and osteogenic differentiation on a shape memory polymer scaffold

Stukel Shah, J.M.; Lundquist, B.; Macaitis, J.; Pfau-Cloud, M.R.; Beltran, F.O.; Grunlan, M.A.; Lien, W.; Wang, H.-C.; Burdette, A.J. “Comparative evaluation of mesenchymal stromal cell growth and osteogenic differentiation on a shape memory polymer scaffold,” J. Biomed. Maters. Res. Part B, 2022, 110, 2063-2074

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PoreScript: Semi-automated pore size algorithm for scaffold characterization

Jenkins, D.; Salhadar, K.; Ashby, G.; Misha, A.; Cheshire, J.; Beltran, F.; Grunlan, M.A.; Andrieux, S.; Stubenrauch, C.; Cosgriff-Hernandez, E. “PoreScript: Semi-automated pore size algorithm for scaffold characterization,” Bioactive Mater., 2022, 13, 1-8

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Suitability of EtO sterilization of polydopamine-coated, self-fitting bone scaffolds

Houk, C.J.; Beltran, F.O.; Grunlan, M.A. “Suitability of EtO sterilization of polydopamine-coated, self-fitting bone scaffolds,” Polym. Degrad. Stability, 2021, 194, 109763

[DOI]

Methodology for performing biomechanical push-out tests for evaluating the osseointegration of calvarial defect repair in small animal models

Lawson, Z.T.; Han, J.; Saunders, W.B.; Grunlan, M.A.; Moreno, M.R.; Robbins, A.B. “Methodology for performing biomechanical push-out tests for evaluating the osseointegration of calvarial defect repair in small animal models,” MethodsX, 2021, 8, 101541

[DOI]

Intrinsic osteoinductivity of PCL-DA/PLLA semi-IPN shape memory polymer scaffolds

Arabiyat, A.A.; Pfau, M.R.; Grunlan, M.A.; Hahn, M.S.“Intrinsic osteoinductivity of PCL-DA/PLLA semi-IPN shape memory polymer scaffolds,” J. Biomed. Mater. Res. Part A, 2021, 21, 2334-2345

[DOI]

Evaluation of self-fitting, shape memory polymer scaffolds in a rabbit calvarial defect model

Pfau, M.R.; Beltran, F.O.; Woodard, L.N.; Saunders, W.B.; Dobson, L.K.; Gasson, S.B.; Moreno, M.R.; Robbins, A.B.; Lawson, Z.T.; Grunlan, M.A. “Evaluation of self-fitting, shape memory polymer scaffolds in a rabbit calvarial defect model,” Acta Biomaterialia, 2021, 136, 233-242.

[DOI]

Smart scaffolds: Shape memory polymers (SMPs) in tissue engineering

Pfau, M.A.; Grunlan, M.A. “Smart scaffolds: Shape memory polymers (SMPs) in tissue engineering,” J. Mater. Chem. B, 2021, 9, 4287-4297

[DOI]

Shape memory polymer (SMP) bone scaffolds with improved self-fitting properties

Pfau, M.A.; McKinzey, K.G.; Roth, A.A.; Graul, L.M.; Maitland, D.J.; Grunlan, M.A. “Shape memory polymer (SMP) bone scaffolds with improved self-fitting properties,” J. Mater. Chem. B, 2021, 9, 3286-3837

[DOI]

Bioactive siloxane-containing shape memory polymer (SMP) scaffolds with tunable degradation rates

Beltran, F.O.; Houk, C.X.; Grunlan, M.A. “Bioactive siloxane-containing shape memory polymer (SMP) scaffolds with tunable degradation rates,” ACS Biomater. Sci. Eng. 2021, 7, 1631-1639

[DOI]

PCL-based shape memory polymer (SMP) semi-IPNs: The role of miscibility in tuning degradation rate

Pfau, M.R.; McKinzey, K.G.; Roth, A.A; Grunlan, M.A. “PCL-based shape memory polymer (SMP) semi-IPNs: The role of miscibility in tuning degradation rate,” Biomacromolecules, 2020, 6, 2493-2501

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