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Durongbhan P, Davey CE, Stok KS. Empirical Modelling Workflow for Resolution Invariant Assessment of Osteophytes. IEEE Trans Biomed Eng 2024; 71:3523-3530. [PMID: 39037882 DOI: 10.1109/tbme.2024.3431634] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/24/2024]
Abstract
OBJECTIVE Traditional quantitative analysis of bone microstructure in micro-computed tomography (microCT) is dependent on animal scale and requires parametric tuning in new implementations. This study aims to develop an automated and resolution-invariant 3D image processing workflow for quantitative assessment of osteophytes. METHODS In this workflow, cortical bone was segmented from microCT scans, and a 3D sphere-fitting transform was performed to obtain a thickness map, for which each voxel is assigned a thickness value corresponding to the size of the largest sphere containing the voxel that fits entirely within the cortical bone. From the thickness map, a 1-voxel thick outer surface was extracted to model surface roughness. The thickness values of the outer surface were empirically estimated by a series of known statistical distributions. Resulting parameters describing best-fit distributions, along with other cortical bone metrics, were analysed to determine sensitivity to osteoarthritis and the presence of osteophytes. RESULTS The workflow was validated using microCT scans and histological gradings of rabbit and rat tibiofemoral joints. Visual inspection shows that samples with osteoarthritis and the presence of osteophytes have more surface voxels assigned small thickness values. The distribution of surface thickness values for each animal is best described by Gamma distributions, whose shape parameter is consistently sensitive to osteoarthritis and the presence of osteophytes. CONCLUSION Combining traditional image processing with empirical distribution fitting provides an automated, objective, and resolution-invariant workflow for osteophyte assessment. SIGNIFICANCE The proposed method is simple, yet elegant in its implementation, and can be readily used in new implementations.
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2
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Küpper JC, Zandiyeh P, Ronsky JL. Empirical joint contact mechanics: A comprehensive review. Proc Inst Mech Eng H 2023; 237:147-162. [PMID: 36468563 DOI: 10.1177/09544119221137397] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Empirical joint contact mechanics measurement (EJCM; e.g. contact area or force, surface velocities) enables critical investigations of the relationship between changing joint mechanics and the impact on surface-to-surface interactions. In orthopedic biomechanics, understanding the changes to cartilage contact mechanics following joint pathology or aging is critical due to its suggested role in the increased risk of osteoarthritis (OA), which might be due to changed kinematics and kinetics that alter the contact patterns within a joint. This article reviews and discusses EJCM approaches that have been applied to articulating joints such that readers across different disciplines will be informed of the various measurement and analysis techniques used in this field. The approaches reviewed include classical measurement approaches (radiographic and sectioning, dye staining, casting, surface proximity, and pressure measurement), stereophotogrammetry/motion analysis, computed tomography (CT), magnetic resonance imaging (MRI), and high-speed videoradiography. Perspectives on approaches to advance this field of EJCM are provided, including the value of considering relative velocity in joints, tractional stress, quantification of joint contact area shape, consideration of normalization techniques, net response (superposition) of multiple input variables, and establishing linkages to regional cartilage health status. EJCM measures continue to provide insights to advance our understanding of cartilage health and degeneration and provide avenues to assess the efficacy and guide future directions of developing interventions (e.g. surgical, biological, rehabilitative) to optimize joint's health and function long term.
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Affiliation(s)
- Jessica C Küpper
- Department of Mechanical and Manufacturing Engineering, University of Calgary, Calgary, AB, Canada.,McCaig Institute for Bone and Joint Health, Calgary, AB, Canada
| | - Payam Zandiyeh
- Department of Orthopaedic Surgery, University of Texas Health Sciences Center, Houston, TX, USA
| | - Janet L Ronsky
- McCaig Institute for Bone and Joint Health, Calgary, AB, Canada.,Departments of Mechanical and Manufacturing Engineering and Biomedical Engineering, University of Calgary, Calgary, AB, Canada
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3
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Silva MO, Kirkwood N, Mulvaney P, Ellis AV, Stok KS. Evaluation of a lanthanide nanoparticle-based contrast agent for microcomputed tomography of porous channels in subchondral bone. J Orthop Res 2023; 41:447-458. [PMID: 35524421 PMCID: PMC10084061 DOI: 10.1002/jor.25361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Revised: 04/10/2022] [Accepted: 05/05/2022] [Indexed: 02/04/2023]
Abstract
Osteoarthritis (OA) is a chronic joint disease that causes disability and pain. The osteochondral interface is a gradient tissue region that plays a significant role in maintaining joint health. It has been shown that during OA, increased neoangiogenesis creates porous channels at the osteochondral interface allowing the transport of molecules related to OA. Importantly, the connection between these porous channels and the early stages of OA development is still not fully understood. Microcomputed tomography (microCT) offers the ability to image the porous channels at the osteochondral interface, however, a contrast agent is necessary to delineate the different X-ray attenuations of the tissues. In this study BaYbF5 -SiO2 nanoparticles are synthesized and optimized as a microCT contrast agent to obtain an appropriate contrast attenuation for subsequent segmentation of structures of interest, that is, porous channels, and mouse subchondral bone. For this purpose, BaYbF5 nanoparticles were synthesized and coated with a biocompatible silica shell (SiO2 ). The optimized BaYbF5 -SiO2 27 nm nanoparticles exhibited the highest average microCT attenuation among the biocompatible nanoparticles tested. The BaYbF5 -SiO2 27 nm nanoparticles increased the mean X-ray attenuation of structures of interest, for example, porous channel models and mouse subchondral bone. The BaYbF5 -SiO2 contrast attenuation was steady after diffusion into mouse subchondral bone. In this study, we obtained for the first time, the average microCT attenuation of the BaYbF5 -SiO2 nanoparticles into porous channel models and mouse subchondral bone. In conclusion, BaYbF5 -SiO2 nanoparticles are a potential contrast agent for imaging porous channels at the osteochondral interface using microCT.
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Affiliation(s)
- Mateus O Silva
- Department of Biomedical Engineering, The University of Melbourne, Parkville, Victoria, Australia
| | - Nicholas Kirkwood
- ARC Centre of Excellence in Exciton Science, School of Chemistry, The University of Melbourne, Parkville, Victoria, Australia
| | - Paul Mulvaney
- ARC Centre of Excellence in Exciton Science, School of Chemistry, The University of Melbourne, Parkville, Victoria, Australia
| | - Amanda V Ellis
- Department of Chemical Engineering, The University of Melbourne, Parkville, Victoria, Australia
| | - Kathryn S Stok
- Department of Biomedical Engineering, The University of Melbourne, Parkville, Victoria, Australia
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4
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Durongbhan P, Silva MO, Li Z, Ansari N, Kour RYN, Davey CE, Stok KS. A microCT imaging protocol for reproducible and efficient quantitative morphometric analysis (QMA) of joint structures of the in situ mouse tibio-femoral joint. Bone 2023; 166:116606. [PMID: 36368467 DOI: 10.1016/j.bone.2022.116606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 10/19/2022] [Accepted: 11/03/2022] [Indexed: 11/09/2022]
Abstract
Micro-computed tomography (microCT) offers a three-dimensional (3D), high-resolution technique for the visualisation and analysis of bone microstructure. Using contrast-enhanced microCT, this capability has been expanded in recent studies to include cartilage morphometry and whole joint measures, known together as quantitative morphometric analysis (QMA). However, one of the main challenges in quantitative analysis of joint images is sensitivity to joint pose and alignment, which may influence measures related to both joint space and joint biomechanics. Thus, this study proposes a novel microCT imaging protocol for reproducible and efficient QMA of in situ mouse tibio-femoral joint. This work consists of two parts: an in situ diffusion kinetics study for a known cationic iodinated contrast agent (CA4+) for QMA of the cartilage, and a joint positioning and image processing workflow for whole joint QMA. In the diffusion kinetics study, 8 mice were injected at both of their tibio-femoral joints with distinct CA4+ concentrations and diffusion times. The mice were scanned at different time points after injection, and evaluated using attenuation and cartilage QMA measures. Results show that cartilage segmentation and QMA could be performed for CA4+ solution at a concentration of 48 mg/ml, and that reliable measurement and quantification of cartilage were achieved after 5 min of diffusion following contrast agent injection. We established the joint positioning and image processing workflow by developing a novel positioning device to control joint pose during scanning, and a spherical harmonics-based image processing workflow to ensure consistent alignment during image processing. Both legs of seven mice were scanned 10 times, 5 prior to receiving CA4+ and 5 after, and evaluated using whole joint QMA parameters. Joint QMA evaluation of the workflow showed excellent reproducibility; intraclass correlation coefficients ranged from 0.794 to 0.930, confirming that the imaging protocol enables reproducible and efficient QMA of joint structures in preclinical models, and that contrast agent injection did not cause significant alteration to the measured parameters.
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Affiliation(s)
- Pholpat Durongbhan
- Department of Biomedical Engineering, The University of Melbourne, Parkville, Australia.
| | - Mateus O Silva
- Department of Biomedical Engineering, The University of Melbourne, Parkville, Australia.
| | - Zihui Li
- Department of Biomedical Engineering, The University of Melbourne, Parkville, Australia
| | - Niloufar Ansari
- Department of Biomedical Engineering, The University of Melbourne, Parkville, Australia
| | - R Y Nigel Kour
- Department of Biomedical Engineering, The University of Melbourne, Parkville, Australia; Department of Mechanical Engineering, The University of Melbourne, Parkville, Australia.
| | - Catherine E Davey
- Department of Biomedical Engineering, The University of Melbourne, Parkville, Australia.
| | - Kathryn S Stok
- Department of Biomedical Engineering, The University of Melbourne, Parkville, Australia.
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5
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Durongbhan P, Davey CE, Stok KS. SPHARM-PDM based image preprocessing pipeline for quantitative morphometric analysis (QMA) for in situ joint assessment in rabbit and rat models. Sci Rep 2022; 12:1113. [PMID: 35064147 PMCID: PMC8782854 DOI: 10.1038/s41598-021-04542-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 12/21/2021] [Indexed: 02/08/2023] Open
Abstract
The accessibility of quantitative measurements of joint morphometry depends on appropriate tibial alignment and volume of interest (VOI) selection of joint compartments; often a challenging and time-consuming manual task. In this work, we developed a novel automatic, efficient, and model-invariant image preprocessing pipeline that allows for highly reproducible 3D quantitative morphometric analysis (QMA) of the joint. The pipeline addresses the problem by deploying two modules: an alignment module and a subdivision module. Alignment is achieved by representing the tibia in its basic form using lower degree spherical harmonic basis functions and aligning using principal component analysis. The second module subdivides the joint into lateral and medial VOIs via a watershedding approach based on persistence homology. Multiple repeated micro-computed tomography scans of small (rat) and medium (rabbit) animal knees were processed using the pipeline to demonstrate model invariance. Existing QMA was performed to evaluate the pipeline’s ability to generate reproducible measurements. Intraclass correlation coefficient and mean-normalised root-mean-squared error of more than 0.75 and lower than 9.5%, respectively, were achieved for joint centre of mass, joint contact area under virtual loading, joint space width, and joint space volume. Processing time and technical requirements were reduced compared to manual processing in previous studies.
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Affiliation(s)
- Pholpat Durongbhan
- Department of Biomedical Engineering, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Catherine E Davey
- Department of Biomedical Engineering, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Kathryn S Stok
- Department of Biomedical Engineering, The University of Melbourne, Parkville, VIC, 3010, Australia.
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6
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Jablonski CL, Besler BA, Ali J, Krawetz RJ. p21 -/- Mice Exhibit Spontaneous Articular Cartilage Regeneration Post-Injury. Cartilage 2021; 13:1608S-1617S. [PMID: 31556320 PMCID: PMC8804758 DOI: 10.1177/1947603519876348] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
OBJECTIVE Recent studies have implicated the cyclin dependent kinase inhibitor, p21, in enhanced tissue regeneration observed in MRL/MpJ "super-healer" mice. Specifically, p21 is downregulated in MRL cells and similar ear hole closure to MRL mice has been observed in p21-/- mice. However, the direct implications of p21 deletion in endogenous articular cartilage regeneration remain unknown. In this study, we investigated the role of p21 deletion in the ability of mice to heal full-thickness cartilage defects (FTCDs). DESIGN C57BL/6 and p21-/- (Cdkn1atm1Tyj) mice were subjected to FTCD and assessment of cartilage healing was performed at 1 hour, 3 days, 1 week, 2 weeks, and 4 weeks post-FTCD using a 14-point histological scoring system. X-ray microscopy was used to quantify cartilage healing parameters (e.g., cartilage thickness, surface area/volume) between C57BL/6 and p21-/- mice. RESULTS Absence of p21 resulted in increased spontaneous articular cartilage regeneration by 3 days post-FTCD. Furthermore, p21-/- mice presented with increased cartilage thickness at 1 and 2 weeks post-FTCD compared with uninjured controls, returning to baseline by 4 weeks post-FTCD. CONCLUSIONS We report that p21-/- mice display enhanced articular cartilage regeneration post-FTCD compared with C57BL/6 mice. Furthermore, cartilage thickness was increased in p21-/- mice at 1 week post-FTCD compared with uninjured p21-/- mice and C57BL/6 mice.
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Affiliation(s)
- Christina L. Jablonski
- McCaig Institute for Bone & Joint
Health, University of Calgary, Calgary, Alberta, Canada,Biomedical Engineering Graduate Program,
University of Calgary, Calgary, Alberta, Canada
| | - Bryce A. Besler
- McCaig Institute for Bone & Joint
Health, University of Calgary, Calgary, Alberta, Canada,Biomedical Engineering Graduate Program,
University of Calgary, Calgary, Alberta, Canada
| | - Jahaan Ali
- McCaig Institute for Bone & Joint
Health, University of Calgary, Calgary, Alberta, Canada
| | - Roman J. Krawetz
- McCaig Institute for Bone & Joint
Health, University of Calgary, Calgary, Alberta, Canada,Biomedical Engineering Graduate Program,
University of Calgary, Calgary, Alberta, Canada,Department of Surgery, University of
Calgary, Calgary, Alberta, Canada,Department of Anatomy and Cell Biology,
University of Calgary, Calgary, Alberta, Canada,Roman J Krawetz, McCaig Institute for Bone
and Joint Health, Faculty of Medicine, University of Calgary, 3330 Hospital
Drive NW, Calgary, Alberta, Canada T2N 4N1.
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7
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Besler BA, Schadow JE, Durongbhan P, Steiner TH, Choo RJ, Zulliger MA, Wilke M, Atal K, Firminger C, Quintin A, Koller B, Müller R, Nesic D, Stok KS. Quantitative measures of bone shape, cartilage morphometry and joint alignment are associated with disease in an ACLT and MMx rat model of osteoarthritis. Bone 2021; 146:115903. [PMID: 33652170 DOI: 10.1016/j.bone.2021.115903] [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: 11/06/2020] [Revised: 02/11/2021] [Accepted: 02/22/2021] [Indexed: 12/16/2022]
Abstract
Multi-scale, subject-specific quantitative methods to characterize and monitor osteoarthritis in animal models and therapeutic treatments could help reveal causal relationships in disease development and distinguish treatment strategies. In this work, we demonstrate a reproducible and sensitive quantitative image analysis to characterize bone, cartilage and joint measures describing a rat model of post-traumatic osteoarthritis. Eleven 3-month-old male Wistar rats underwent medial anterior cruciate ligament (ACL) transection and medial meniscectomy on the right knee to destabilise the right tibiofemoral joint. They were sacrificed 6 weeks post-surgery and a silicon-based micro-bead contrast agent was injected in the joint space, before scanning with micro-computed tomography (microCT). Subsequently, 3D quantitative morphometric analysis (QMA), previously developed for rabbit joints, was performed. This included cartilage, subchondral cortical and epiphyseal bone measures, as well as novel tibiofemoral joint metrics. Semi-quantitative evaluation was performed on matching two-dimensional (2D) histology and microCT images. Reproducibility of the QMA was tested on eleven age-matched additional joints. The results indicate the QMA method is accurate and reproducible and that microCT-derived cartilage measurements are valid for the analysis of rat joints. The pathologic changes caused by transection of the ACL and medial meniscectomy were reflected in measurements of bone shape, cartilage morphology, and joint alignment. Furthermore, we were able to identify model-specific predictive parameters based on morphometric parameters measured with the QMA.
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Affiliation(s)
- Bryce A Besler
- Institute for Biomechanics, ETH Zurich, Zurich, Switzerland; University of Calgary, Calgary, Canada.
| | - Jemima E Schadow
- Institute for Biomechanics, ETH Zurich, Zurich, Switzerland; Department of Biomedical Engineering, The University of Melbourne, Parkville, Australia.
| | - Pholpat Durongbhan
- Department of Biomedical Engineering, The University of Melbourne, Parkville, Australia.
| | | | - Ryan J Choo
- Institute for Biomechanics, ETH Zurich, Zurich, Switzerland.
| | | | | | - Kailash Atal
- Institute for Biomechanics, ETH Zurich, Zurich, Switzerland
| | - Colin Firminger
- Institute for Biomechanics, ETH Zurich, Zurich, Switzerland.
| | - Aurelie Quintin
- Department of BioMedical Research, University of Bern, Bern, Switzerland.
| | | | - Ralph Müller
- Institute for Biomechanics, ETH Zurich, Zurich, Switzerland.
| | - Dobrila Nesic
- Department of BioMedical Research, University of Bern, Bern, Switzerland; Faculty of Medicine, University of Geneva, Geneva, Switzerland.
| | - Kathryn S Stok
- Institute for Biomechanics, ETH Zurich, Zurich, Switzerland; SCANCO Medical AG, Brüttisellen, Switzerland; Department of Biomedical Engineering, The University of Melbourne, Parkville, Australia.
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8
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Butterfield NC, Curry KF, Steinberg J, Dewhurst H, Komla-Ebri D, Mannan NS, Adoum AT, Leitch VD, Logan JG, Waung JA, Ghirardello E, Southam L, Youlten SE, Wilkinson JM, McAninch EA, Vancollie VE, Kussy F, White JK, Lelliott CJ, Adams DJ, Jacques R, Bianco AC, Boyde A, Zeggini E, Croucher PI, Williams GR, Bassett JHD. Accelerating functional gene discovery in osteoarthritis. Nat Commun 2021; 12:467. [PMID: 33473114 PMCID: PMC7817695 DOI: 10.1038/s41467-020-20761-5] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2019] [Accepted: 12/14/2020] [Indexed: 01/29/2023] Open
Abstract
Osteoarthritis causes debilitating pain and disability, resulting in a considerable socioeconomic burden, yet no drugs are available that prevent disease onset or progression. Here, we develop, validate and use rapid-throughput imaging techniques to identify abnormal joint phenotypes in randomly selected mutant mice generated by the International Knockout Mouse Consortium. We identify 14 genes with functional involvement in osteoarthritis pathogenesis, including the homeobox gene Pitx1, and functionally characterize 6 candidate human osteoarthritis genes in mouse models. We demonstrate sensitivity of the methods by identifying age-related degenerative joint damage in wild-type mice. Finally, we phenotype previously generated mutant mice with an osteoarthritis-associated polymorphism in the Dio2 gene by CRISPR/Cas9 genome editing and demonstrate a protective role in disease onset with public health implications. We hope this expanding resource of mutant mice will accelerate functional gene discovery in osteoarthritis and offer drug discovery opportunities for this common, incapacitating chronic disease.
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Affiliation(s)
- Natalie C Butterfield
- Molecular Endocrinology Laboratory, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, W12 0NN, UK
| | - Katherine F Curry
- Molecular Endocrinology Laboratory, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, W12 0NN, UK
| | - Julia Steinberg
- Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, 85764, Neuherberg, Germany
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK
- Cancer Council NSW, Sydney, NSW, 2000, Australia
| | - Hannah Dewhurst
- Molecular Endocrinology Laboratory, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, W12 0NN, UK
| | - Davide Komla-Ebri
- Molecular Endocrinology Laboratory, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, W12 0NN, UK
| | - Naila S Mannan
- Molecular Endocrinology Laboratory, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, W12 0NN, UK
| | - Anne-Tounsia Adoum
- Molecular Endocrinology Laboratory, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, W12 0NN, UK
| | - Victoria D Leitch
- Molecular Endocrinology Laboratory, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, W12 0NN, UK
| | - John G Logan
- Molecular Endocrinology Laboratory, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, W12 0NN, UK
| | - Julian A Waung
- Molecular Endocrinology Laboratory, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, W12 0NN, UK
| | - Elena Ghirardello
- Molecular Endocrinology Laboratory, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, W12 0NN, UK
| | - Lorraine Southam
- Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, 85764, Neuherberg, Germany
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK
| | - Scott E Youlten
- The Garvan Institute of Medical Research and St. Vincent's Clinical School, University of New South Wales Medicine, Sydney, NSW, 2010, Australia
| | - J Mark Wilkinson
- Department of Oncology and Metabolism, University of Sheffield, Sheffield, S10 2RX, UK
- Centre for Integrated Research into Musculoskeletal Ageing and Sheffield Healthy Lifespan Institute, University of Sheffield, Sheffield, S10 2TN, UK
| | - Elizabeth A McAninch
- Division of Endocrinology and Metabolism, Rush University Medical Center, Chicago, IL, 60612, USA
| | | | - Fiona Kussy
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK
| | - Jacqueline K White
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK
- The Jackson Laboratory, Bar Harbor, ME, 04609, USA
| | | | - David J Adams
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK
| | - Richard Jacques
- School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, S1 4DA, UK
| | - Antonio C Bianco
- Section of Adult and Pediatric Endocrinology, Diabetes & Metabolism, Department of Medicine, University of Chicago, Chicago, IL, 60637, USA
| | - Alan Boyde
- Dental Physical Sciences, Queen Mary University of London, Mile End Road, London, E1 4NS, UK
| | - Eleftheria Zeggini
- Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, 85764, Neuherberg, Germany
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1SA, UK
| | - Peter I Croucher
- The Garvan Institute of Medical Research and St. Vincent's Clinical School, University of New South Wales Medicine, Sydney, NSW, 2010, Australia
| | - Graham R Williams
- Molecular Endocrinology Laboratory, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, W12 0NN, UK.
| | - J H Duncan Bassett
- Molecular Endocrinology Laboratory, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, W12 0NN, UK.
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9
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Oliveira Silva M, Gregory JL, Ansari N, Stok KS. Molecular Signaling Interactions and Transport at the Osteochondral Interface: A Review. Front Cell Dev Biol 2020; 8:750. [PMID: 32974333 PMCID: PMC7466715 DOI: 10.3389/fcell.2020.00750] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2020] [Accepted: 07/17/2020] [Indexed: 12/11/2022] Open
Abstract
Articular joints are comprised of different tissues, including cartilage and bone, with distinctive structural and mechanical properties. Joint homeostasis depends on mechanical and biological integrity of these components and signaling exchanges between them. Chondrocytes and osteocytes actively sense, integrate, and convert mechanical forces into biochemical signals in cartilage and bone, respectively. The osteochondral interface between the bone and cartilage allows these tissues to communicate with each other and exchange signaling and nutritional molecules, and by that ensure an integrated response to mechanical stimuli. It is currently not well known how molecules are transported between these tissues. Measuring molecular transport in vivo is highly desirable for tracking cartilage degeneration and osteoarthritis progression. Since transport of contrast agents, which are used for joint imaging, also depend on diffusion through the cartilage extracellular matrix, contrast agent enhanced imaging may provide a high resolution, non-invasive method for investigating molecular transport in the osteochondral unit. Only a few techniques have been developed to track molecular transport at the osteochondral interface, and there appear opportunities for development in this field. This review will describe current knowledge of the molecular interactions and transport in the osteochondral interface and discuss the potential of using contrast agents for investigating molecular transport and structural changes of the joint.
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Affiliation(s)
| | | | | | - Kathryn S. Stok
- Department of Biomedical Engineering, University of Melbourne, Parkville, VIC, Australia
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10
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Ter Voert CEM, Kour RYN, van Teeffelen BCJ, Ansari N, Stok KS. Contrast-enhanced micro-computed tomography of articular cartilage morphology with ioversol and iomeprol. J Anat 2020; 237:1062-1071. [PMID: 32683740 DOI: 10.1111/joa.13271] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2019] [Revised: 06/09/2020] [Accepted: 06/10/2020] [Indexed: 11/29/2022] Open
Abstract
Non-ionic, low-osmolar contrast agents (CAs) used for computed tomography, such as Optiray (ioversol) and Iomeron (iomeprol), are associated with the reduced risk of adverse reactions and toxicity in comparison with ionic CAs, such as Hexabrix. Hexabrix has previously been used for imaging articular cartilage but has been commercially discontinued. This study aimed to evaluate the efficacy of Optiray and Iomeron as alternatives for visualisation of articular cartilage in small animal joints using contrast-enhanced micro-computed tomography (CECT). For this purpose, mouse femora were immersed in different concentrations (20%-50%) of Optiray 350 or Iomeron 350 for periods of time starting at five minutes. The femoral condyles were scanned ex vivo using CECT, and regions of articular cartilage manually contoured to calculate mean attenuation at each time point and concentration. For both CAs, a 30% CA concentration produced a mean cartilage attenuation optimally distinct from both bone and background signal, whilst 5-min immersion times were sufficient for equilibration of CA absorption. Additionally, plugs of bovine articular cartilage were digested by chondroitinase ABC to produce a spectrum of glycosaminoglycan (GAG) content. These samples were immersed in CA and assessed for any correlation between mean attenuation and GAG content. No significant correlation was found between attenuation and cartilage GAG content for either CAs. In conclusion, Optiray and Iomeron enable high-resolution morphological assessment of articular cartilage in small animals using CECT; however, they are not indicative of GAG content.
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Affiliation(s)
- Colet E M Ter Voert
- Department of Biomedical Engineering, The University of Melbourne, Parkville, Vic., Australia
| | - R Y Nigel Kour
- Department of Biomedical Engineering, The University of Melbourne, Parkville, Vic., Australia
| | - Bente C J van Teeffelen
- Department of Biomedical Engineering, The University of Melbourne, Parkville, Vic., Australia
| | - Niloufar Ansari
- Department of Biomedical Engineering, The University of Melbourne, Parkville, Vic., Australia
| | - Kathryn S Stok
- Department of Biomedical Engineering, The University of Melbourne, Parkville, Vic., Australia
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11
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Stok KS, Burghardt AJ, Boutroy S, Peters MPH, Manske SL, Stadelmann V, Vilayphiou N, van den Bergh JP, Geusens P, Li X, Marotte H, van Rietbergen B, Boyd SK, Barnabe C. Consensus approach for 3D joint space width of metacarpophalangeal joints of rheumatoid arthritis patients using high-resolution peripheral quantitative computed tomography. Quant Imaging Med Surg 2020; 10:314-325. [PMID: 32190559 DOI: 10.21037/qims.2019.12.11] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Background Joint space assessment for rheumatoid arthritis (RA) by ordinal conventional radiographic scales is susceptible to floor and ceiling effects. High-resolution peripheral quantitative computed tomography (HR-pQCT) provides superior resolution, and may detect earlier changes. The goal of this work was to compare existing 3D methods to calculate joint space width (JSW) metrics in human metacarpophalangeal (MCP) joints with HR-pQCT and reach consensus for future studies. Using the consensus method, we established reproducibility with repositioning as well as feasibility for use in second-generation HR-pQCT scanners. Methods Three published JSW methods were compared using datasets from individuals with RA from three research centers. A SPECTRA consensus method was developed to take advantage of strengths of the individual methods. Using the SPECTRA method, reproducibility after repositioning was tested and agreement between scanner generations was also established. Results When comparing existing JSW methods, excellent agreement was shown for JSW minimum and mean (ICC 0.987-0.996) but not maximum and volume (ICC 0.000-0.897). Differences were identified as variations in volume definitions and algorithmic differences that generated high sensitivity to boundary conditions. The SPECTRA consensus method reduced this sensitivity, demonstrating good scan-rescan reliability (ICC >0.911) except for minimum JSW (ICC 0.656). There was strong agreement between results from first- and second-generation HR-pQCT (ICC >0.833). Conclusions The SPECTRA consensus method combines unique strengths of three independently-developed algorithms and leverages underlying software updates to provide a mature analysis to measure 3D JSW. This method is robust with respect to repositioning and scanner generations, suggesting its suitability for detecting change.
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Affiliation(s)
- Kathryn S Stok
- Department of Biomedical Engineering, The University of Melbourne, Parkville, Australia.,SCANCO Medical AG, Brüttisellen, Switzerland
| | - Andrew J Burghardt
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, USA
| | | | - Michiel P H Peters
- Department of Internal Medicine, Division of Rheumatology, Maastricht University Medical Centre, Maastricht, The Netherlands.,Research School CAPHRI, School for Public Health and Primary Care, Maastricht, The Netherlands.,NUTRIM School of Nutrition & Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands
| | - Sarah L Manske
- McCaig Institute for Bone and Joint Health, University of Calgary, Calgary, Canada.,Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Vincent Stadelmann
- SCANCO Medical AG, Brüttisellen, Switzerland.,Department of Research and Development, Schulthess Klinik, Zürich, Switzerland
| | | | - Joop P van den Bergh
- Department of Internal Medicine, Division of Rheumatology, Maastricht University Medical Centre, Maastricht, The Netherlands.,NUTRIM School of Nutrition & Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands.,Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium.,VieCuri Medical Centre, Venlo, The Netherlands
| | - Piet Geusens
- Department of Internal Medicine, Division of Rheumatology, Maastricht University Medical Centre, Maastricht, The Netherlands.,Research School CAPHRI, School for Public Health and Primary Care, Maastricht, The Netherlands.,Department of Research and Development, Schulthess Klinik, Zürich, Switzerland
| | - Xiaojuan Li
- Program of Advanced Musculoskeletal Imaging (PAMI), Cleveland Clinic, Cleveland, OH, USA
| | - Hubert Marotte
- SAINBIOSE, INSERM U1059, University of Lyon, Saint-Etienne, France.,Department of Rheumatology, University Hospital of Saint-Etienne, Saint-Etienne, France.,INSERM CIE3 1408, University Hospital of Saint-Etienne, Saint-Etienne, France
| | - Bert van Rietbergen
- Orthopaedic Biomechanics, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.,Department of Orthopaedic Surgery, Research School CAPHRI, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Steven K Boyd
- McCaig Institute for Bone and Joint Health, University of Calgary, Calgary, Canada.,Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Cheryl Barnabe
- McCaig Institute for Bone and Joint Health, University of Calgary, Calgary, Canada.,Department of Medicine and Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Canada
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Zhou X, Zhang L, Guo X, Liu G, Wang G, Fu S. A Macaca Fascicularis Knee Osteoarthritis Model Developed by Modified Hulth Combined with Joint Scratches. Med Sci Monit 2018; 24:3393-3404. [PMID: 29789519 PMCID: PMC5994139 DOI: 10.12659/msm.906626] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Osteoarthritis is a common degenerative disease of joints, and animal models have important significance in the investigation of this disease. The aim of this study was to develop a better method for developing osteoarthritis models in primates by comparing the modified Hulth score combined with joint scratches modeling method with others. MATERIAL AND METHODS We randomly divided 15 young male Macaca fascicularis and 3 old male Macaca fascicularis into 6 groups (n=3). Knee osteoarthritis (KOA) models were developed with different methods: modified Hulth combined with joint scratches (Group A), modified Hulth (Group B), Hulth (Group C), spontaneous models (Group D); sham-operated (Group E), and blank control (Group F). Morphology and pathology of knee joints were observed at the 8th week after surgery. The levels of WBC, IL-1b, and TGF-b1 in synovial fluid were detected by ELISA. The levels of COL-II, ACAN, and MMP-13 in articular cartilage were examined by RT-qPCR and Western blot. RESULTS In Brittberg and modified Mankin score, Group A was higher than B (P<0.05) and lower than C (P<0.05), and there was no statistically significant difference between Group A and D (P>0.05). Except for Group E and F, the differences were statistically significant among others in WBC, IL-1β, and TGF-β1 (P<0.05). COL-II and ACAN decreased and MMP-13 increased, and there was no significant difference between Groups A and D (P>0.05) or between Groups E and F (P>0.05). There were statistically significant differences among other groups (P<0.05). CONCLUSIONS The models developed by modified Hulth combined with joint scratches were the closet to spontaneous models at the 8th week after surgery.
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Affiliation(s)
- Xin Zhou
- Department of Orthopedics, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, Sichuan, China (mainland)
| | - Lei Zhang
- Department of Orthopedics, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, Sichuan, China (mainland)
| | - Xiaoguang Guo
- Department of Orthopedics, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, Sichuan, China (mainland)
| | - Gang Liu
- Department of Orthopedics, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, Sichuan, China (mainland)
| | - Guoyou Wang
- Department of Orthopedics, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, Sichuan, China (mainland)
| | - Shijie Fu
- Department of Orthopedics, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, Sichuan, China (mainland)
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13
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Lindström E, Rizoska B, Tunblad K, Edenius C, Bendele AM, Maul D, Larson M, Shah N, Yoder Otto V, Jerome C, Grabowska U. The selective cathepsin K inhibitor MIV-711 attenuates joint pathology in experimental animal models of osteoarthritis. J Transl Med 2018. [PMID: 29523155 PMCID: PMC5845353 DOI: 10.1186/s12967-018-1425-7] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND MIV-711 is a highly potent and selective cathepsin K inhibitor. The current article summarizes the therapeutic effects of MIV-711 on joint pathology in rabbits subjected to anterior cruciate ligament transection (ACLT), and the prophylactic effects on joint pathology in dogs subjected to partial medial meniscectomy, two surgical models of osteoarthritis (OA). METHODS Starting 1 week after surgery, rabbits were dosed daily via oral gavage with either MIV-711 or vehicle (n = 7/group) for 7 weeks. The four treatment groups were: (1) sham + vehicle; (2) ACLT + vehicle; (3) ACLT + MIV-711, 30 µmol/kg and (4) ACLT + MIV-711, 100 µmol/kg. Subchondral bone and articular cartilage structures were assessed by µCT, histomorphometry, and scoring. Dogs subjected to partial medial meniscectomy received either MIV-711 (30 µmol/kg) or vehicle (n = 15/group) via oral gavage once daily, starting 1 day before meniscectomy, for 28 days. Cartilage degradation was assessed at the macroscopic and microscopic levels. The exposures of MIV-711 were assessed in both studies and biomarkers reflecting bone resorption (HP-1 in rabbits, CTX-I in dogs) and cartilage degradation (CTX-II) were measured. RESULTS In ACLT rabbits, MIV-711 decreased HP-1 levels by up to 72% (p < 0.001) and CTX-II levels by up to 74% (p < 0.001) compared to ACLT vehicle controls. ACLT surgery significantly reduced the total thickness of the subchondral bone plate and reduced trabecular bone volume in the femur and tibia. These effects were reversed by MIV-711. ACLT resulted in cartilage thickening, which was attenuated by MIV-711. MIV-711 did not affect osteophyte formation or Mankin scores. In dogs, MIV-711 reduced CTX-I and CTX-II levels by 86% (p < 0.001) and 80% (p < 0.001), respectively. Synovial CTX-II levels were reduced by 55-57% (p < 0.001) compared to baseline. MIV-711-treated animals had 25-37% lower macroscopic scores in the femur condyles and 13-33% lower macroscopic scores in the tibial plateaus. CONCLUSIONS MIV-711 prevents subchondral bone loss and partially attenuates cartilage pathology in two animal models of OA. These beneficial effects of MIV-711 on joint pathology are observed in conjunction with decreases in bone and cartilage biomarkers that have been shown to be clinically attainable in human. The data support the further development of MIV-711 for the treatment of OA.
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Thoma CT, Makridou KN, Bakaloudis DE, Vlachos CG. Evaluating the Potential of Three-Dimensional Laser Surface Scanning as an Alternative Method of Obtaining Morphometric Data. ANN ZOOL FENN 2018. [DOI: 10.5735/086.055.0106] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Affiliation(s)
- Charalambos T. Thoma
- School of Forestry and Natural Environment, Aristotle University of Thessaloniki, P.O. Box 241, GR-541 24 Thessaloniki, Greece
| | - Konstantina N. Makridou
- School of Forestry and Natural Environment, Aristotle University of Thessaloniki, P.O. Box 241, GR-541 24 Thessaloniki, Greece
| | - Dimitrios E. Bakaloudis
- School of Forestry and Natural Environment, Aristotle University of Thessaloniki, P.O. Box 241, GR-541 24 Thessaloniki, Greece
| | - Christos G. Vlachos
- School of Forestry and Natural Environment, Aristotle University of Thessaloniki, P.O. Box 241, GR-541 24 Thessaloniki, Greece
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15
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Lakin BA, Snyder BD, Grinstaff MW. Assessing Cartilage Biomechanical Properties: Techniques for Evaluating the Functional Performance of Cartilage in Health and Disease. Annu Rev Biomed Eng 2017; 19:27-55. [DOI: 10.1146/annurev-bioeng-071516-044525] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Benjamin A. Lakin
- Center for Advanced Orthopedic Studies, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts 02215
- Department of Biomedical Engineering, Boston University, Boston, Massachusetts 02215
| | - Brian D. Snyder
- Center for Advanced Orthopedic Studies, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts 02215
- Orthopedic Center, Children's Hospital, Boston, Massachusetts 02115
| | - Mark W. Grinstaff
- Department of Biomedical Engineering, Boston University, Boston, Massachusetts 02215
- Department of Chemistry, Boston University, Boston, Massachusetts 02215
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