Literature DB >> 27279435

Electromechanical probe and automated indentation maps are sensitive techniques in assessing early degenerated human articular cartilage.

Sotcheadt Sim1,2, Anik Chevrier1, Martin Garon2, Eric Quenneville2, Patrick Lavigne3, Alex Yaroshinsky4, Caroline D Hoemann1,5, Michael D Buschmann1,5.   

Abstract

Recent advances in the development of new drugs to halt or even reverse the progression of Osteoarthritis at an early-stage requires new tools to detect early degeneration of articular cartilage. We investigated the ability of an electromechanical probe and an automated indentation technique to characterize entire human articular surfaces for rapid non-destructive discrimination between early degenerated and healthy articular cartilage. Human cadaveric asymptomatic articular surfaces (four pairs of distal femurs and four pairs of tibial plateaus) were used. They were assessed ex vivo: macroscopically, electromechanically, (maps of the electromechanical quantitative parameter, QP, reflecting streaming potentials), mechanically (maps of the instantaneous modulus, IM), and through cartilage thickness. Osteochondral cores were also harvested from healthy and degenerated regions for histological assessment, biochemical analyses, and unconfined compression tests. The macroscopic visual assessment delimited three distinct regions on each articular surface: Region I was macroscopically degenerated, region II was macroscopically normal but adjacent to regions I and III was the remaining normal articular surface. Thus, each extracted core was assigned to one of the three regions. A mixed effect model revealed that only the QP (p < 0.0001) and IM (p < 0.0001) were able to statistically discriminate the three regions. Effect size was higher for QP and IM than other assessments, indicating greater sensitivity to distinguish early degeneration of cartilage. When considering the mapping feature of the QP and IM techniques, it also revealed bilateral symmetry in a moderately similar distribution pattern between bilateral joints.
© 2016 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 35:858-867, 2017. © 2016 Orthopaedic Research Society. Published by Wiley Periodicals, Inc.

Entities:  

Keywords:  articular cartilage; cartilage diagnostic; mechanics; osteoarthritis; streaming potentials

Mesh:

Year:  2016        PMID: 27279435     DOI: 10.1002/jor.23330

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


  10 in total

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Authors:  Gregory R Dion; Jean-Francois Lavoie; Paulo Coelho; Milan R Amin; Ryan C Branski
Journal:  Laryngoscope       Date:  2018-11-08       Impact factor: 3.325

2.  In vivo biochemical assessment of cartilage with gagCEST MRI: Correlation with cartilage properties.

Authors:  Sander Brinkhof; Razmara Nizak; Sotcheadt Sim; Vitaliy Khlebnikov; Eric Quenneville; Martin Garon; Dennis W J Klomp; Daniel Saris
Journal:  NMR Biomed       Date:  2020-12-22       Impact factor: 4.044

3.  Non-invasive Electroarthrography Measures Load-Induced Cartilage Streaming Potentials via Electrodes Placed on Skin Surrounding an Articular Joint.

Authors:  Adele Changoor; Martin Garon; Eric Quenneville; Shelley B Bull; Karen Gordon; Pierre Savard; Michael D Buschmann; Mark B Hurtig
Journal:  Cartilage       Date:  2020-06-05       Impact factor: 3.117

4.  Glycation marker glucosepane increases with the progression of osteoarthritis and correlates with morphological and functional changes of cartilage in vivo.

Authors:  Catherine Legrand; Usman Ahmed; Attia Anwar; Kashif Rajpoot; Sabah Pasha; Cécile Lambert; Rose K Davidson; Ian M Clark; Paul J Thornalley; Yves Henrotin; Naila Rabbani
Journal:  Arthritis Res Ther       Date:  2018-06-22       Impact factor: 5.156

5.  Quantitative Arthroscopic Assessment of Articular Cartilage Quality by Means of Cartilage Electromechanical Properties.

Authors:  Tomas Mickevicius; Justinas Maciulaitis; Arvydas Usas; Rimtautas Gudas
Journal:  Arthrosc Tech       Date:  2018-06-18

6.  Viscoelasticity and histology of the human cartilage in healthy and degenerated conditions of the knee.

Authors:  Michael Seidenstuecker; Julius Watrinet; Anke Bernstein; Norbert P Suedkamp; Sergio H Latorre; Anastasija Maks; Hermann O Mayr
Journal:  J Orthop Surg Res       Date:  2019-08-13       Impact factor: 2.359

7.  Modulation of Hedgehog Signaling by Kappa Opioids to Attenuate Osteoarthritis.

Authors:  Alexander E Weber; Omid Jalali; Sean Limfat; Ruzanna Shkhyan; Robert Van Der Horst; Siyoung Lee; Yucheng Lin; Liangliang Li; Erik N Mayer; Liming Wang; Nancy Q Liu; Frank A Petrigliano; Jay R Lieberman; Denis Evseenko
Journal:  Arthritis Rheumatol       Date:  2020-06-24       Impact factor: 10.995

8.  Quantifying the Effects of Different Treadmill Training Speeds and Durations on the Health of Rat Knee Joints.

Authors:  Jaqueline Lourdes Rios; Kevin Rudi Boldt; James William Mather; Ruth Anne Seerattan; David Arthur Hart; Walter Herzog
Journal:  Sports Med Open       Date:  2018-04-02

9.  Comparison of Regenerative Tissue Quality following Matrix-Associated Cell Implantation Using Amplified Chondrocytes Compared to Synovium-Derived Stem Cells in a Rabbit Model for Cartilage Lesions.

Authors:  Hagen Schmal; Justyna M Kowal; Moustapha Kassem; Michael Seidenstuecker; Anke Bernstein; Katharina Böttiger; Tanshiyue Xiong; Norbert P Südkamp; Eva J Kubosch
Journal:  Stem Cells Int       Date:  2018-04-19       Impact factor: 5.443

10.  Automated Indentation Demonstrates Structural Stiffness of Femoral Articular Cartilage and Temporomandibular Joint Mandibular Condylar Cartilage Is Altered in FgF2KO Mice.

Authors:  Paige S Woods; Alyssa A Morin; Po-Jung Chen; Sarah Mahonski; Liping Xiao; Marja Hurley; Sumit Yadav; Tannin A Schmidt
Journal:  Cartilage       Date:  2020-10-03       Impact factor: 3.117

  10 in total

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