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Nitschke BM, Beltran FO, Hahn MS, Grunlan MA. Trends in bioactivity: inducing and detecting mineralization of regenerative polymeric scaffolds. J Mater Chem B 2024; 12:2720-2736. [PMID: 38410921 PMCID: PMC10935659 DOI: 10.1039/d3tb02674d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 02/14/2024] [Indexed: 02/28/2024]
Abstract
Due to limitations of biological and alloplastic grafts, regenerative engineering has emerged as a promising alternative to treat bone defects. Bioactive polymeric scaffolds are an integral part of such an approach. Bioactivity importantly induces hydroxyapatite mineralization that promotes osteoinductivity and osseointegration with surrounding bone tissue. Strategies to confer bioactivity to polymeric scaffolds utilize bioceramic fillers, coatings and surface treatments, and additives. These approaches can also favorably impact mechanical and degradation properties. A variety of fabrication methods are utilized to prepare scaffolds with requisite morphological features. The bioactivity of scaffolds may be evaluated with a broad set of techniques, including in vitro (acellular and cellular) and in vivo methods. Herein, we highlight contemporary and emerging approaches to prepare and assess scaffold bioactivity, as well as existing challenges.
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Affiliation(s)
- Brandon M Nitschke
- Department of Biomedical Engineering, Texas A&M University, College Station, TX 77843, USA.
| | - Felipe O Beltran
- Department of Materials Science & Engineering, Texas A&M University, College Station, TX 77843, USA
| | - Mariah S Hahn
- Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, USA
| | - Melissa A Grunlan
- Department of Biomedical Engineering, Texas A&M University, College Station, TX 77843, USA.
- Department of Materials Science & Engineering, Texas A&M University, College Station, TX 77843, USA
- Department of Chemistry, Texas A&M University, College Station, TX 77843, USA
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2
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Donat A, Jiang S, Xie W, Knapstein PR, Albertsen LC, Kokot JL, Sevecke J, Augustin R, Jahn D, Yorgan TA, Frosch KH, Tsitsilonis S, Baranowsky A, Keller J. The selective norepinephrine reuptake inhibitor reboxetine promotes late-stage fracture healing in mice. iScience 2023; 26:107761. [PMID: 37720081 PMCID: PMC10504537 DOI: 10.1016/j.isci.2023.107761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 08/03/2023] [Accepted: 08/25/2023] [Indexed: 09/19/2023] Open
Abstract
Impaired fracture healing is of high clinical relevance, as up to 15% of patients with long-bone fractures display non-unions. Fracture patients also include individuals treated with selective norepinephrine reuptake inhibitors (SNRI). As SNRI were previously shown to negatively affect bone homeostasis, it remained unclear whether patients with SNRI are at risk of impaired bone healing. Here, we show that daily treatment with the SNRI reboxetine reduces trabecular bone mass in the spine but increases cortical thickness and osteoblast numbers in the femoral midshaft. Most importantly, reboxetine does not impair bone regeneration in a standardized murine fracture model, and even improves callus bridging and biomechanical stability at late healing stages. In sum, reboxetine affects bone remodeling in a site-specific manner. Treatment does not interfere with the early and intermediate stages of bone regeneration and improves healing outcomes of the late-stage fracture callus in mice.
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Affiliation(s)
- Antonia Donat
- Department of Trauma and Orthopedic Surgery, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany
| | - Shan Jiang
- Department of Trauma and Orthopedic Surgery, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany
| | - Weixin Xie
- Department of Trauma and Orthopedic Surgery, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany
| | - Paul Richard Knapstein
- Department of Trauma and Orthopedic Surgery, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany
| | - Lilly-Charlotte Albertsen
- Department of Trauma and Orthopedic Surgery, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany
| | - Judith Luisa Kokot
- Department of Trauma and Orthopedic Surgery, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany
| | - Jan Sevecke
- Department of Trauma and Orthopedic Surgery, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany
| | - Ruben Augustin
- Department of Trauma and Orthopedic Surgery, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany
| | - Denise Jahn
- Center for Musculoskeletal Surgery, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 13353 Berlin, Germany
- Berlin Institute of Health at Charité-Universitätsmedizin Berlin, Julius Wolff Institute, 13353 Berlin, Germany
| | - Timur Alexander Yorgan
- Department of Osteology and Biomechanics, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany
| | - Karl-Heinz Frosch
- Department of Trauma and Orthopedic Surgery, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany
- Department of Trauma Surgery, Orthopedics and Sports Traumatology, BG Hospital Hamburg, 21033 Hamburg, Germany
| | - Serafeim Tsitsilonis
- Center for Musculoskeletal Surgery, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 13353 Berlin, Germany
- Berlin Institute of Health at Charité-Universitätsmedizin Berlin, Julius Wolff Institute, 13353 Berlin, Germany
| | - Anke Baranowsky
- Department of Trauma and Orthopedic Surgery, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany
| | - Johannes Keller
- Department of Trauma and Orthopedic Surgery, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany
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Finze R, Laubach M, Russo Serafini M, Kneser U, Medeiros Savi F. Histological and Immunohistochemical Characterization of Osteoimmunological Processes in Scaffold-Guided Bone Regeneration in an Ovine Large Segmental Defect Model. Biomedicines 2023; 11:2781. [PMID: 37893154 PMCID: PMC10604530 DOI: 10.3390/biomedicines11102781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 10/06/2023] [Accepted: 10/09/2023] [Indexed: 10/29/2023] Open
Abstract
Large-volume bone defect regeneration is complex and demands time to complete. Several regeneration phases with unique characteristics, including immune responses, follow, overlap, and interdepend on each other and, if successful, lead to the regeneration of the organ bone's form and function. However, during traumatic, infectious, or neoplastic clinical cases, the intrinsic bone regeneration capacity may exceed, and surgical intervention is indicated. Scaffold-guided bone regeneration (SGBR) has recently shown efficacy in preclinical and clinical studies. To investigate different SGBR strategies over periods of up to three years, we have established a well-characterized ovine large segmental tibial bone defect model, for which we have developed and optimized immunohistochemistry (IHC) protocols. We present an overview of the immunohistochemical characterization of different experimental groups, in which all ovine segmental defects were treated with a bone grafting technique combined with an additively manufactured medical-grade polycaprolactone/tricalcium phosphate (mPCL-TCP) scaffold. The qualitative dataset was based on osteoimmunological findings gained from IHC analyses of over 350 sheep surgeries over the past two decades. Our systematic and standardized IHC protocols enabled us to gain further insight into the complex and long-drawn-out bone regeneration processes, which ultimately proved to be a critical element for successful translational research.
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Affiliation(s)
- Ronja Finze
- Centre for Biomedical Technologies, School of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, QLD 4059, Australia; (R.F.)
- Department of Hand-, Plastic and Reconstructive Surgery, Burn Center, BG Trauma Center Ludwigshafen, University of Heidelberg, 67071 Ludwigshafen, Germany;
| | - Markus Laubach
- Centre for Biomedical Technologies, School of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, QLD 4059, Australia; (R.F.)
- Australian Research Council (ARC) Training Centre for Multiscale 3D Imaging, Modelling and Manufacturing (M3D Innovation), Queensland University of Technology, Brisbane, QLD 4000, Australia
- Department of Orthopaedics and Trauma Surgery, Musculoskeletal University Center Munich (MUM), LMU University Hospital, LMU Munich, 81377 Munich, Germany
| | - Mairim Russo Serafini
- Department of Pharmacy, Universidade Federal de Sergipe, Sao Cristovao 49100-000, Brazil;
| | - Ulrich Kneser
- Department of Hand-, Plastic and Reconstructive Surgery, Burn Center, BG Trauma Center Ludwigshafen, University of Heidelberg, 67071 Ludwigshafen, Germany;
| | - Flavia Medeiros Savi
- Centre for Biomedical Technologies, School of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, QLD 4059, Australia; (R.F.)
- Australian Research Council (ARC) Training Centre for Multiscale 3D Imaging, Modelling and Manufacturing (M3D Innovation), Queensland University of Technology, Brisbane, QLD 4000, Australia
- Max Planck Queensland Center for the Materials Science of Extracellular Matrices, Queensland University of Technology, Brisbane, QLD 4059, Australia
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4
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Allenby MC, Woodruff MA. Image analyses for engineering advanced tissue biomanufacturing processes. Biomaterials 2022; 284:121514. [DOI: 10.1016/j.biomaterials.2022.121514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2021] [Revised: 04/01/2022] [Accepted: 04/04/2022] [Indexed: 11/02/2022]
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Ren J, Paxton NC, Hammond J, Saifzadeh S, Steck R, Lawrence FA, Woodruff MA. Novel resin tissue array system reduces sample preparation time, labour and reagent costs in bone tissue histology. Bone 2021; 153:116155. [PMID: 34411775 DOI: 10.1016/j.bone.2021.116155] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 08/11/2021] [Accepted: 08/13/2021] [Indexed: 11/30/2022]
Abstract
Resin histology plays an essential role in the analysis of hard tissues, such as bone and teeth, as well as in the context of metallic implant analysis. However, the techniques of resin embedding, followed by ground sectioning, are very costly due to significantly increased reagent cost and labour time when compared to the conventional paraffin histology approach. In the present study, a novel resin array system was developed to increase the affordability of a project analysing rat femur tissues containing metallic or polymeric implants. The resin array system enabled the simultaneous embedding of the femur samples in groups of eight samples compared to the conventional resin method where samples are processed individually. The ground sections produced with the resin array system allowed uniform ROI selection, ground section thickness, staining consistency, and histological analysis with Goldner's trichrome stain, offering a substantial opportunity for reproducible immunohistochemistry which is unable to be achieved when processing samples embedded individually. The application of this novel resin array system significantly reduced resource usage when compared to doing the same analysis on individual samples. A reduction of approximately 40% was achieved for both total labour time and total reagent cost through the use of the array system compared with individual embedding. This novel resin array system has widespread applicability to many bone, hard tissue, and metallic implant studies, offering substantial conservation of research funds and increased accessibility to advanced techniques for commercial partners due to more cost-effective sample preparation and more accurate, reproducible data.
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Affiliation(s)
- Jiongyu Ren
- Queensland University of Technology (QUT), 2 George St, Brisbane, QLD 4000, Australia
| | - Naomi C Paxton
- Queensland University of Technology (QUT), 2 George St, Brisbane, QLD 4000, Australia
| | - Joshua Hammond
- Queensland University of Technology (QUT), 2 George St, Brisbane, QLD 4000, Australia
| | - Siamak Saifzadeh
- Queensland University of Technology (QUT), 2 George St, Brisbane, QLD 4000, Australia
| | - Roland Steck
- Queensland University of Technology (QUT), 2 George St, Brisbane, QLD 4000, Australia
| | - Felicity A Lawrence
- Queensland University of Technology (QUT), 2 George St, Brisbane, QLD 4000, Australia
| | - Maria A Woodruff
- Queensland University of Technology (QUT), 2 George St, Brisbane, QLD 4000, Australia.
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6
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Henkel J, Medeiros Savi F, Berner A, Fountain S, Saifzadeh S, Steck R, Epari DR, Woodruff MA, Knackstedt M, Schuetz MA, Hutmacher DW. Scaffold-guided bone regeneration in large volume tibial segmental defects. Bone 2021; 153:116163. [PMID: 34461285 DOI: 10.1016/j.bone.2021.116163] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 08/19/2021] [Accepted: 08/24/2021] [Indexed: 10/20/2022]
Abstract
Large volume losses in weight bearing long bones are a major challenge in clinical practice. Despite multiple innovations over the last decades, significant limitations subsist in current clinical treatment options which is driving a strong clinical demand for clinically translatable treatment alternatives, including bone tissue engineering applications. Despite these shortcomings, preclinical large animal models of large volume segmental bone defects to investigate the regenerative capacity of bone tissue engineering strategies under clinically relevant conditions are rarely described in literature. We herein present a newly established preclinical ovine animal model for the treatment of XL volume (19 cm3) segmental tibial defects. In eight aged male Merino sheep (age > 6 years) a mid-diaphyseal tibial segmental defect was created and stabilized with a 5.6 mm Dynamic Compression Plate (DCP). We present short-term (3 months) and long-term (12-15 months) results of a pilot study using medical grade Polycaprolactone-Tricalciumphosphate (mPCL-TCP) scaffolds combined with a dose of 2 mg rhBMP-7 delivered in Platelet-Rich- Plasma (PRP). Furthermore, detailed analyses of the mechanical properties of the scaffolds as well as interfragmentary movement (IFM) and DCP-surface strain in vitro and a comprehensive description of the surgical and post-surgery protocol and post-mortem analysis is given.
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Affiliation(s)
- Jan Henkel
- Centre in Transformative Biomimetics in Bioengineering, Queensland University of Technology, Kelvin Grove, Australia; Department of Trauma Surgery, Lutheran Hospital Goettingen-Weende, Goettingen, Germany
| | - Flavia Medeiros Savi
- Centre in Transformative Biomimetics in Bioengineering, Queensland University of Technology, Kelvin Grove, Australia; ARC Training Centre for Multiscale 3D Imaging, Modelling and Manufacturing, Australia; Faculty of Engineering, School of Mechanical Medical & Process Engineering, Queensland University of Technology, Kelvin Grove, Australia
| | - Arne Berner
- Department of Trauma Surgery, University Hospital of Regensburg, Regensburg, Germany; Australian Research Council Industrial Transformation Training Centre in Additive Biomanufacturing, Australia
| | - Stephanie Fountain
- Faculty of Engineering, School of Mechanical Medical & Process Engineering, Queensland University of Technology, Kelvin Grove, Australia
| | - Siamak Saifzadeh
- Centre in Transformative Biomimetics in Bioengineering, Queensland University of Technology, Kelvin Grove, Australia; Faculty of Engineering, School of Mechanical Medical & Process Engineering, Queensland University of Technology, Kelvin Grove, Australia; Medical Engineering Research Facility, Queensland University of Technology, Brisbane, Australia
| | - Roland Steck
- Medical Engineering Research Facility, Queensland University of Technology, Brisbane, Australia
| | - Devakar R Epari
- Faculty of Engineering, School of Mechanical Medical & Process Engineering, Queensland University of Technology, Kelvin Grove, Australia
| | - Maria A Woodruff
- Faculty of Engineering, School of Mechanical Medical & Process Engineering, Queensland University of Technology, Kelvin Grove, Australia
| | - Mark Knackstedt
- Department of Applied Mathematics, Australian National University (ANU), Canberra, Australia
| | - Michael A Schuetz
- Jamieson Trauma Institute, Royal Brisbane Hospital, Herston, Australia
| | - Dietmar W Hutmacher
- Centre in Transformative Biomimetics in Bioengineering, Queensland University of Technology, Kelvin Grove, Australia; ARC Training Centre for Multiscale 3D Imaging, Modelling and Manufacturing, Australia; Faculty of Engineering, School of Mechanical Medical & Process Engineering, Queensland University of Technology, Kelvin Grove, Australia; Australian Research Council Industrial Transformation Training Centre in Additive Biomanufacturing, Australia; Jamieson Trauma Institute, Royal Brisbane Hospital, Herston, Australia.
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7
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Medeiros Savi F, Mieszczanek P, Revert S, Wille ML, Bray LJ. A New Automated Histomorphometric MATLAB Algorithm for Immunohistochemistry Analysis Using Whole Slide Imaging. Tissue Eng Part C Methods 2021; 26:462-474. [PMID: 32729382 DOI: 10.1089/ten.tec.2020.0153] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
Abstract
The use of animal models along with the employment of advanced and sophisticated stereological methods for assessing bone quality combined with the use of statistical methods to evaluate the effectiveness of bone therapies has made it possible to investigate the pathways that regulate bone responses to medical devices. Image analysis of histomorphometric measurements remains a time-consuming task, as the image analysis software currently available does not allow for automated image segmentation. Such a feature is usually obtained by machine learning and with software platforms that provide image-processing tools such as MATLAB. In this study, we introduce a new MATLAB algorithm to quantify immunohistochemically stained critical-sized bone defect samples and compare the results with the commonly available Aperio Image Scope Positive Pixel Count (PPC) algorithm. Bland and Altman analysis and Pearson correlation showed that the measurements acquired with the new MATLAB algorithm were in excellent agreement with the measurements obtained with the Aperio PPC algorithm, and no significant differences were found within the histomorphometric measurements. The ability to segment whole slide images, as well as defining the size and the number of regions of interest to be quantified, makes this MATLAB algorithm a potential histomorphometric tool for obtaining more objective, precise, and reproducible quantitative assessments of entire critical-sized bone defect image data sets in an efficient and manageable workflow.
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Affiliation(s)
- Flavia Medeiros Savi
- Centre in Regenerative Medicine, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia.,School of Mechanical, Medical and Process Engineering, Science and Engineering Faculty, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Pawel Mieszczanek
- Centre in Regenerative Medicine, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Sophia Revert
- Centre in Regenerative Medicine, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Marie-Luise Wille
- Centre in Regenerative Medicine, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia.,School of Mechanical, Medical and Process Engineering, Science and Engineering Faculty, Queensland University of Technology, Brisbane, Queensland, Australia.,ARC ITTC for Multiscale 3D Imaging, Modelling, and Manufacturing, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Laura Jane Bray
- Centre in Regenerative Medicine, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia.,School of Mechanical, Medical and Process Engineering, Science and Engineering Faculty, Queensland University of Technology, Brisbane, Queensland, Australia
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Hydrogels as Drug Delivery Systems: A Review of Current Characterization and Evaluation Techniques. Pharmaceutics 2020; 12:pharmaceutics12121188. [PMID: 33297493 PMCID: PMC7762425 DOI: 10.3390/pharmaceutics12121188] [Citation(s) in RCA: 156] [Impact Index Per Article: 39.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Revised: 11/18/2020] [Accepted: 11/19/2020] [Indexed: 12/15/2022] Open
Abstract
Owing to their tunable properties, controllable degradation, and ability to protect labile drugs, hydrogels are increasingly investigated as local drug delivery systems. However, a lack of standardized methodologies used to characterize and evaluate drug release poses significant difficulties when comparing findings from different investigations, preventing an accurate assessment of systems. Here, we review the commonly used analytical techniques for drug detection and quantification from hydrogel delivery systems. The experimental conditions of drug release in saline solutions and their impact are discussed, along with the main mathematical and statistical approaches to characterize drug release profiles. We also review methods to determine drug diffusion coefficients and in vitro and in vivo models used to assess drug release and efficacy with the goal to provide guidelines and harmonized practices when investigating novel hydrogel drug delivery systems.
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