Literature DB >> 28471533

Murine articular cartilage morphology and compositional quantification with high resolution cationic contrast-enhanced μCT.

Maleeha Mashiatulla1,2, Meghan M Moran1, Deva Chan3, Jun Li3, Jonathan D Freedman4, Brian D Snyder5, Mark W Grinstaff4, Anna Plaas3, Dale R Sumner1,2.   

Abstract

Articular cartilage lines the load-bearing surfaces of long bones and undergoes compositional and structural degeneration during osteoarthritis progression. Contrast enhanced microcomputed tomography (μCT) is being applied to a variety of preclinical models, including the mouse, to map structural and compositional properties in 3-D. The thinness (∼30-50 μm) and high cellularity of mouse articular cartilage presents a significant imaging challenge. Our group previously showed that mouse articular cartilage and proteoglycan (PG) content can be assessed by μCT with the ioxagalate-based contrast agent Hexabrix, but the voxel size used (6 μm) was deemed to be barely adequate. The objective of the present study is to assess the utility of a novel contrast agent, CA4+, to quantify mouse articular cartilage morphology and composition with high resolution μCT imaging (3 μm voxels) and to compare the sensitivity of CA4+ and Hexabrix to detect between-group differences. While both contrast agents are iodine-based, Hexabrix is anionic and CA4+ is cationic so they interact differently with negatively charged PGs. With CA4+, a strong correlation was found between non-calcified articular cartilage thickness measurements made with histology and μCT (R2  = 0.72, p < 0.001). Cartilage degeneration-as assessed by loss in volume, thickness, and PG content-was observed in 34-week-old mice when compared to both 7- and 12-week-old mice. High measurement precision was observed with CA4+, with the coefficient of variation after repositioning and re-imaging samples equaling 2.8%, 4.5%, 7.4% and 5.9% for attenuation, thickness, volume, and PG content, respectively. Use of CA4+ allowed increased sensitivity for assessing PG content compared to Hexabrix, but had no advantage for measurement of cartilage thickness or volume. This improvement in imaging should prove useful in preclinical studies of cartilage degeneration and regeneration.
© 2017 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 35:2740-2748, 2017. © 2017 Orthopaedic Research Society. Published by Wiley Periodicals, Inc.

Entities:  

Keywords:  articular cartilage; contrast agent; micro-computed tomography; mouse

Mesh:

Substances:

Year:  2017        PMID: 28471533      PMCID: PMC5671366          DOI: 10.1002/jor.23595

Source DB:  PubMed          Journal:  J Orthop Res        ISSN: 0736-0266            Impact factor:   3.494


  32 in total

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Authors:  J-Ph Berteau; M Oyen; S J Shefelbine
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Review 2.  Bone remodelling in osteoarthritis.

Authors:  David B Burr; Maxime A Gallant
Journal:  Nat Rev Rheumatol       Date:  2012-08-07       Impact factor: 20.543

3.  Initial application of EPIC-μCT to assess mouse articular cartilage morphology and composition: effects of aging and treadmill running.

Authors:  N Kotwal; J Li; J Sandy; A Plaas; D R Sumner
Journal:  Osteoarthritis Cartilage       Date:  2012-05-15       Impact factor: 6.576

Review 4.  Articular cartilage and osteoarthritis.

Authors:  Joseph A Buckwalter; Henry J Mankin; Alan J Grodzinsky
Journal:  Instr Course Lect       Date:  2005

5.  Formalin fixation affects equilibrium partitioning of an ionic contrast agent-microcomputed tomography (EPIC-μCT) imaging of osteochondral samples.

Authors:  K E M Benders; J Malda; D B F Saris; W J A Dhert; R Steck; D W Hutmacher; T J Klein
Journal:  Osteoarthritis Cartilage       Date:  2010-10-13       Impact factor: 6.576

6.  Contrast-enhanced nanofocus computed tomography images the cartilage subtissue architecture in three dimensions.

Authors:  G Kerckhofs; J Sainz; M Wevers; T Van de Putte; J Schrooten
Journal:  Eur Cell Mater       Date:  2013-02-07       Impact factor: 3.942

7.  Mice lacking alpha 1 (IX) collagen develop noninflammatory degenerative joint disease.

Authors:  R Fässler; P N Schnegelsberg; J Dausman; T Shinya; Y Muragaki; M T McCarthy; B R Olsen; R Jaenisch
Journal:  Proc Natl Acad Sci U S A       Date:  1994-05-24       Impact factor: 11.205

8.  The prevalence of knee osteoarthritis in the elderly. The Framingham Osteoarthritis Study.

Authors:  D T Felson; A Naimark; J Anderson; L Kazis; W Castelli; R F Meenan
Journal:  Arthritis Rheum       Date:  1987-08

9.  Effect of contrast agent charge on visualization of articular cartilage using computed tomography: exploiting electrostatic interactions for improved sensitivity.

Authors:  Neel S Joshi; Prashant N Bansal; Rachel C Stewart; Brian D Snyder; Mark W Grinstaff
Journal:  J Am Chem Soc       Date:  2009-09-23       Impact factor: 15.419

10.  Lifetime risk of symptomatic knee osteoarthritis.

Authors:  Louise Murphy; Todd A Schwartz; Charles G Helmick; Jordan B Renner; Gail Tudor; Gary Koch; Anca Dragomir; William D Kalsbeek; Gheorghe Luta; Joanne M Jordan
Journal:  Arthritis Rheum       Date:  2008-09-15
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  5 in total

1.  dGEMRIC and CECT Comparison of Cationic and Anionic Contrast Agents in Cadaveric Human Metacarpal Cartilage.

Authors:  Jonathan D Freedman; Daniel J Ellis; Hrvoje Lusic; Gopal Varma; Aaron K Grant; Benjamin A Lakin; Brian D Snyder; Mark W Grinstaff
Journal:  J Orthop Res       Date:  2019-11-14       Impact factor: 3.494

2.  In vitro method for 3D morphometry of human articular cartilage chondrons based on micro-computed tomography.

Authors:  I Kestilä; J Thevenot; M A Finnilä; S S Karhula; I Hadjab; S Kauppinen; M Garon; E Quenneville; M Haapea; L Rieppo; K P Pritzker; M D Buschmann; H J Nieminen; S Saarakkala
Journal:  Osteoarthritis Cartilage       Date:  2018-05-23       Impact factor: 6.576

Review 3.  Contrast-Enhanced MicroCT for Virtual 3D Anatomical Pathology of Biological Tissues: A Literature Review.

Authors:  Sébastien de Bournonville; Sarah Vangrunderbeeck; Greet Kerckhofs
Journal:  Contrast Media Mol Imaging       Date:  2019-02-28       Impact factor: 3.161

4.  A FoxA2+ long-term stem cell population is necessary for growth plate cartilage regeneration after injury.

Authors:  Shanmugam Muruganandan; Rachel Pierce; Dian Astari Teguh; Rocio Fuente Perez; Nicole Bell; Brandon Nguyen; Katherine Hohl; Brian D Snyder; Mark W Grinstaff; Hannah Alberico; Dori Woods; Yiwei Kong; Corneliu Sima; Sanket Bhagat; Kailing Ho; Vicki Rosen; Laura Gamer; Andreia M Ionescu
Journal:  Nat Commun       Date:  2022-05-06       Impact factor: 17.694

5.  Accelerating functional gene discovery in osteoarthritis.

Authors:  Graham R Williams; J H Duncan Bassett; Natalie C Butterfield; Katherine F Curry; Julia Steinberg; Hannah Dewhurst; Davide Komla-Ebri; Naila S Mannan; Anne-Tounsia Adoum; Victoria D Leitch; John G Logan; Julian A Waung; Elena Ghirardello; Lorraine Southam; Scott E Youlten; J Mark Wilkinson; Elizabeth A McAninch; Valerie E Vancollie; Fiona Kussy; Jacqueline K White; Christopher J Lelliott; David J Adams; Richard Jacques; Antonio C Bianco; Alan Boyde; Eleftheria Zeggini; Peter I Croucher
Journal:  Nat Commun       Date:  2021-01-20       Impact factor: 17.694

  5 in total

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