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Cartilage2020; 13(2_suppl); 375S-385S; doi: 10.1177/1947603520928583

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

Abstract: We aimed to demonstrate that electroarthrography (EAG) measures streaming potentials originating in the cartilage extracellular matrix during load bearing through electrodes adhered to skin surrounding an articular joint. Equine metacarpophalangeal joints were subjected to simulated physiological loads while (1) replacing synovial fluid with immersion buffers of different electrolyte concentrations and (2) directly degrading cartilage with trypsin. An inverse relationship between ionic strength and EAG coefficient was detected. Compared to native synovial fluid, EAG coefficients increased ( < 0.05) for 5 of 6 electrodes immersed in 0.1X phosphate-buffered saline (PBS) (0.014 M NaCl), decreased ( < 0.05) for 4 of 6 electrodes in 1X PBS (0.14 M NaCl), and decreased ( < 0.05) for all 6 electrodes in 10X PBS (1.4 M NaCl). This relationship corresponds to similar studies where streaming potentials were directly measured on cartilage. EAG coefficients, obtained after trypsin degradation, were reduced ( < 0.05) in 6 of 8, and 7 of 8 electrodes, during simulated standing and walking, respectively. Trypsin degradation was confirmed by direct cartilage assessments. Streaming potentials, measured by directly contacting cartilage, indicated lower cartilage stiffness ( < 10). Unconfined compression data revealed reduced Em, representing proteoglycan matrix stiffness ( = 0.005), no change in Ef, representing collagen network stiffness ( = 0.15), and no change in permeability ( = 0.24). Trypsin depleted proteoglycan as observed by both dimethylmethylene blue assay ( = 0.0005) and safranin-O stained histological sections. These data show that non-invasive EAG detects streaming potentials produced by cartilage during joint compression and has potential to become a diagnostic tool capable of detecting early cartilage degeneration.
Publication Date: 2020-06-05 PubMed ID: 32500724PubMed Central: PMC8804767DOI: 10.1177/1947603520928583Google Scholar: Lookup
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  • Journal Article
  • Research Support
  • Non-U.S. Gov't

Summary

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The research article focuses on a study that proves that Electroarthrography (EAG) can measure streaming potentials in cartilage during load bearing through electrodes placed on the skin near the joints.

Methodology

  • Metacarpophalangeal joints from horses were exposed to simulated physiological loads.
  • Simulations were done under various conditions such as different electrolyte concentrations and directly degrading the cartilage with trypsin.
  • Streaming potentials were then measured, primarily focusing on changes in EAG coefficient values.

Result

  • An inverse relationship was observed between ionic strength and the EAG coefficient.
  • EAG coefficients increased for 5 of 6 electrodes immersed in 0.1X phosphate-buffered saline (PBS) (0.014 M NaCl)
  • Decreased for 4 of 6 electrodes in 1X PBS (0.14 M NaCl), and decreased for all 6 electrodes in 10X PBS (1.4 M NaCl).
  • EAG coefficients were reduced in electrodes after trypsin degradation during simulated standing and walking.

Significance of Findings

  • These results correlate with previous studies where streaming potentials were directly measured on cartilage.
  • The lowering of cartilage stiffness as indicated by the streaming potentials measured from the direct contact of cartilage.
  • Minimal changes in collagen network stiffness and permeability.
  • The degradation of proteoglycans, which were observed in both dimethylmethylene blue assay and safranin-O stained histological sections, resulted from the action of trypsin.

Conclusions

  • The findings from this study suggest that non-invasive EAG is capable of detecting streaming potentials produced by cartilage during joint compression.
  • This opens up the potential of EAG as a diagnostic tool that can be utilized for early detection of cartilage degeneration.

Cite This Article

APA
Changoor A, Garon M, Quenneville E, Bull SB, Gordon K, Savard P, Buschmann MD, Hurtig MB. (2020). Non-invasive Electroarthrography Measures Load-Induced Cartilage Streaming Potentials via Electrodes Placed on Skin Surrounding an Articular Joint. Cartilage, 13(2_suppl), 375S-385S. https://doi.org/10.1177/1947603520928583

Publication

ISSN: 1947-6043
NlmUniqueID: 101518378
Country: United States
Language: English
Volume: 13
Issue: 2_suppl
Pages: 375S-385S

Researcher Affiliations

Changoor, Adele
  • Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada.
  • Department of Surgery and Department of Laboratory Medicine & Pathobiology, University of Toronto, Toronto, Ontario, Canada.
Garon, Martin
  • Biomomentum Inc., Laval, Q, Canada.
Quenneville, Eric
  • Biomomentum Inc., Laval, Q, Canada.
Bull, Shelley B
  • Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada.
Gordon, Karen
  • College of Engineering and Physical Sciences, University of Guelph, Guelph, Ontario, Canada.
Savard, Pierre
  • Biomedical and Electrical Engineering, École Polytechnique, Montréal, Q, Canada.
Buschmann, Michael D
  • Department of Bioengineering, George Mason University, Fairfax, VA, USA.
Hurtig, Mark B
  • Comparative Orthopaedic Research Laboratory, Department of Clinical Studies, University of Guelph, Guelph, Ontario, Canada.

MeSH Terms

  • Animals
  • Cartilage, Articular / physiology
  • Electrodes
  • Horses
  • Osmolar Concentration
  • Proteoglycans
  • Weight-Bearing / physiology

Conflict of Interest Statement

The author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: MG and EQ are the owners of Biomomentum Inc.

References

This article includes 42 references
  1. Ryd L, Brittberg M, Eriksson K, Jurvelin JS, Lindahl A, Marlovits S, Möller P, Richardson JB, Steinwachs M, Zenobi-Wong M. Pre-Osteoarthritis: Definition and Diagnosis of an Elusive Clinical Entity.. Cartilage 2015 Jul;6(3):156-65.
    pmc: PMC4481392pubmed: 26175861doi: 10.1177/1947603515586048google scholar: lookup
  2. Glyn-Jones S, Palmer AJ, Agricola R, Price AJ, Vincent TL, Weinans H, Carr AJ. Osteoarthritis.. Lancet 2015 Jul 25;386(9991):376-87.
    pubmed: 25748615doi: 10.1016/s0140-6736(14)60802-3google scholar: lookup
  3. Lotz MK, Kraus VB. New developments in osteoarthritis. Posttraumatic osteoarthritis: pathogenesis and pharmacological treatment options.. Arthritis Res Ther 2010;12(3):211.
    pmc: PMC2911903pubmed: 20602810doi: 10.1186/ar3046google scholar: lookup
  4. Novakofski KD, Pownder SL, Koff MF, Williams RM, Potter HG, Fortier LA. High-Resolution Methods for Diagnosing Cartilage Damage In Vivo.. Cartilage 2016 Jan;7(1):39-51.
    pmc: PMC4749750pubmed: 26958316doi: 10.1177/1947603515602307google scholar: lookup
  5. Virén T, Saarakkala S, Kaleva E, Nieminen HJ, Jurvelin JS, Töyräs J. Minimally invasive ultrasound method for intra-articular diagnostics of cartilage degeneration.. Ultrasound Med Biol 2009 Sep;35(9):1546-54.
  6. Frank EH, Grodzinsky AJ. Cartilage electromechanics--I. Electrokinetic transduction and the effects of electrolyte pH and ionic strength.. J Biomech 1987;20(6):615-27.
    pubmed: 3611137doi: 10.1016/0021-9290(87)90282-xgoogle scholar: lookup
  7. Garon M, Légaré A, Guardo R, Savard P, Buschmann MD. Streaming potentials maps are spatially resolved indicators of amplitude, frequency and ionic strength dependant responses of articular cartilage to load.. J Biomech 2002 Feb;35(2):207-16.
    pubmed: 11784539doi: 10.1016/s0021-9290(01)00197-xgoogle scholar: lookup
  8. Bonassar LJ, Jeffries KA, Paguio CG, Grodzinsky AJ. Cartilage degradation and associated changes in biochemical and electromechanical properties.. Acta Orthop Scand Suppl 1995 Oct;266:38-44.
    pubmed: 8553859
  9. Frank EH, Grodzinsky AJ, Koob TJ, Eyre DR. Streaming potentials: a sensitive index of enzymatic degradation in articular cartilage.. J Orthop Res 1987;5(4):497-508.
    pubmed: 3681524doi: 10.1002/jor.1100050405google scholar: lookup
  10. Légaré A, Garon M, Guardo R, Savard P, Poole AR, Buschmann MD. Detection and analysis of cartilage degeneration by spatially resolved streaming potentials.. J Orthop Res 2002 Jul;20(4):819-26.
    pubmed: 12168673doi: 10.1016/s0736-0266(02)00002-5google scholar: lookup
  11. Sim S, Chevrier A, Garon M, Quenneville E, Lavigne P, Yaroshinsky A, Hoemann CD, Buschmann MD. Electromechanical probe and automated indentation maps are sensitive techniques in assessing early degenerated human articular cartilage.. J Orthop Res 2017 Apr;35(4):858-867.
    pubmed: 27279435doi: 10.1002/jor.23330google scholar: lookup
  12. Becher C, Ricklefs M, Willbold E, Hurschler C, Abedian R. Electromechanical Assessment of Human Knee Articular Cartilage with Compression-Induced Streaming Potentials.. Cartilage 2016 Jan;7(1):62-9.
    pmc: PMC4749748pubmed: 26958318doi: 10.1177/1947603515599191google scholar: lookup
  13. Changoor A, Coutu JP, Garon M, Quenneville E, Hurtig MB, Buschmann MD. Streaming potential-based arthroscopic device is sensitive to cartilage changes immediately post-impact in an equine cartilage injury model.. J Biomech Eng 2011 Jun;133(6):061005.
    pubmed: 21744925doi: 10.1115/1.4004230google scholar: lookup
  14. Changoor A, Fereydoonzad L, Yaroshinsky A, Buschmann MD. Effects of refrigeration and freezing on the electromechanical and biomechanical properties of articular cartilage.. J Biomech Eng 2010 Jun;132(6):064502.
    pubmed: 20887036doi: 10.1115/1.4000991google scholar: lookup
  15. Sim S, Chevrier A, Garon M, Quenneville E, Yaroshinsky A, Hoemann CD, Buschmann MD. Non-destructive electromechanical assessment (Arthro-BST) of human articular cartilage correlates with histological scores and biomechanical properties.. Osteoarthritis Cartilage 2014 Nov;22(11):1926-35.
    pubmed: 25168362doi: 10.1016/j.joca.2014.08.008google scholar: lookup
  16. Abedian R, Willbold E, Becher C, Hurschler C. In vitro electro-mechanical characterization of human knee articular cartilage of different degeneration levels: a comparison with ICRS and Mankin scores.. J Biomech 2013 Apr 26;46(7):1328-34.
  17. Mickevicius T, Pockevicius A, Kucinskas A, Gudas R, Maciulaitis J, Noreikaite A, Usas A. Impact of storage conditions on electromechanical, histological and histochemical properties of osteochondral allografts.. BMC Musculoskelet Disord 2015 Oct 23;16:314.
    pmc: PMC4619008pubmed: 26497227doi: 10.1186/s12891-015-0776-ygoogle scholar: lookup
  18. Préville AM, Lavigne P, Buschmann MD, Hardin J, Han Q, Djerroud L, Savard P. Electroarthrography: a novel method to assess articular cartilage and diagnose osteoarthritis by non-invasive measurement of load-induced electrical potentials at the surface of the knee.. Osteoarthritis Cartilage 2013 Nov;21(11):1731-7.
    pubmed: 23850553doi: 10.1016/j.joca.2013.07.003google scholar: lookup
  19. Han Q, Buschmann MD, Savard P. The forward problem of electroarthrography: modeling load-induced electrical potentials at the surface of the knee.. IEEE Trans Biomed Eng 2014 Jul;61(7):2020-7.
    pubmed: 24956620doi: 10.1109/tbme.2014.2312104google scholar: lookup
  20. Zhu L, Buschmann MD, Savard P. Mechanical loading of knee articular cartilage induced by muscle contraction can be assessed by measuring electrical potentials at the surface of the knee.. J Biomech 2016 Feb 8;49(3):338-43.
  21. Zhu L, Garon M, Quenneville É, Buschmann MD, Savard P. Decrease of the electrical potentials measured on the surface of the knee and produced by cartilage compression during successive loading cycles.. J Biomech 2016 Oct 3;49(14):3587-3591.
  22. Zhu L, Garon M, Quenneville É, Buschmann MD, Savard P. Electrical potentials measured on the surface of the knee reflect the changes of the contact force in the knee joint produced by postural sway.. Gait Posture 2017 Feb;52:159-164.
  23. Quenneville E, Garon M, Légaré A, Buschmann MD. Load and streaming potential responses of articular cartilage as a function of compression speed during indentation (Abstract). Transactions of the 49th Annual Meeting of the Orthopeadic Research Society February 2003; New Orleans.
  24. Wang Q, Zheng YP, Qin L, Huang QH, Lam WL, Leung G, Guo X, Lu HB. Real-time ultrasonic assessment of progressive proteoglycan depletion in articular cartilage.. Ultrasound Med Biol 2008 Jul;34(7):1085-92.
  25. Korhonen RK, Laasanen MS, Töyräs J, Lappalainen R, Helminen HJ, Jurvelin JS. Fibril reinforced poroelastic model predicts specifically mechanical behavior of normal, proteoglycan depleted and collagen degraded articular cartilage.. J Biomech 2003 Sep;36(9):1373-9.
    pubmed: 12893046doi: 10.1016/s0021-9290(03)00069-1google scholar: lookup
  26. DiSilvestro MR, Suh JK. Biphasic poroviscoelastic characteristics of proteoglycan-depleted articular cartilage: simulation of degeneration.. Ann Biomed Eng 2002 Jun;30(6):792-800.
    pubmed: 12220079doi: 10.1114/1.1496088google scholar: lookup
  27. Moody HR, Brown CP, Bowden JC, Crawford RW, McElwain DL, Oloyede AO. In vitro degradation of articular cartilage: does trypsin treatment produce consistent results?. J Anat 2006 Aug;209(2):259-67.
  28. Qin L, Zheng Y, Leung C, Mak A, Choy W, Chan K. Ultrasound detection of trypsin-treated articular cartilage: its association with cartilaginous proteoglycans assessed by histological and biochemical methods.. J Bone Miner Metab 2002;20(5):281-7.
    pubmed: 12203033doi: 10.1007/s007740200040google scholar: lookup
  29. Brama PA, Karssenberg D, Barneveld A, van Weeren PR. Contact areas and pressure distribution on the proximal articular surface of the proximal phalanx under sagittal plane loading.. Equine Vet J 2001 Jan;33(1):26-32.
    pubmed: 11191606doi: 10.2746/042516401776767377google scholar: lookup
  30. Easton KL, Kawcak CE. Evaluation of increased subchondral bone density in areas of contact in the metacarpophalangeal joint during joint loading in horses.. Am J Vet Res 2007 Aug;68(8):816-21.
    pubmed: 17669020doi: 10.2460/ajvr.68.8.816google scholar: lookup
  31. Soulhat J, Buschmann MD, Shirazi-Adl A. A fibril-network-reinforced biphasic model of cartilage in unconfined compression.. J Biomech Eng 1999 Jun;121(3):340-7.
    pubmed: 10396701doi: 10.1115/1.2798330google scholar: lookup
  32. Hoemann CD. Molecular and biochemical assays of cartilage components. Cartilage and osteoarthritis: structure and in vivo analysis Vol 2. Totowa, NJ: Humana Press; 2004. p. 127-56.
  33. Bobbert MF, Gómez Alvarez CB, van Weeren PR, Roepstorff L, Weishaupt MA. Validation of vertical ground reaction forces on individual limbs calculated from kinematics of horse locomotion.. J Exp Biol 2007 Jun;210(Pt 11):1885-96.
    pubmed: 17515415doi: 10.1242/jeb.02774google scholar: lookup
  34. Buschmann MD, Grodzinsky AJ. A molecular model of proteoglycan-associated electrostatic forces in cartilage mechanics.. J Biomech Eng 1995 May;117(2):179-92.
    pubmed: 7666655doi: 10.1115/1.2796000google scholar: lookup
  35. Basser PJ, Grodzinsky AJ. The Donnan model derived from microstructure.. Biophys Chem 1993 Feb;46(1):57-68.
    pubmed: 8443336doi: 10.1016/0301-4622(93)87007-jgoogle scholar: lookup
  36. Fan F, Xiaofei L, Pengling R, Xiran C, Yan Y, Yubo F, Haijun N. Correlations between X-ray attenuation and GAG content of different cartilage layers based on contrast agent enhanced Micro-CT.. Annu Int Conf IEEE Eng Med Biol Soc 2015;2015:6366-9.
    pubmed: 26737749doi: 10.1109/embc.2015.7319849google scholar: lookup
  37. Heinegård D, Hascall VC. Aggregation of cartilage proteoglycans. 3. Characteristics of the proteins isolated from trypsin digests of aggregates.. J Biol Chem 1974 Jul 10;249(13):4250-6.
    pubmed: 4277353
  38. Neame PJ. Extracellular matrix of cartilage: proteoglycans. Joint cartilage degeneration: basic and clinical aspects New York: Marcel Dekker, Inc; 1993. p. 109-38.
  39. Bonnet F, Dunham DG, Hardingham TE. Structure and interactions of cartilage proteoglycan binding region and link protein.. Biochem J 1985 May 15;228(1):77-85.
    pmc: PMC1144955pubmed: 4004817doi: 10.1042/bj2280077google scholar: lookup
  40. Fosang AJ, Neame PJ, Hardingham TE, Murphy G, Hamilton JA. Cleavage of cartilage proteoglycan between G1 and G2 domains by stromelysins.. J Biol Chem 1991 Aug 25;266(24):15579-82.
    pubmed: 1874716
  41. Harris ED Jr, Parker HG, Radin EL, Krane SM. Effects of proteolytic enzymes on structural and mechanical properties of cartilage.. Arthritis Rheum 1972 Sep-Oct;15(5):497-503.
    pubmed: 4343998doi: 10.1002/art.1780150505google scholar: lookup
  42. Laasanen MS, Töyräs J, Hirvonen J, Saarakkala S, Korhonen RK, Nieminen MT, Kiviranta I, Jurvelin JS. Novel mechano-acoustic technique and instrument for diagnosis of cartilage degeneration.. Physiol Meas 2002 Aug;23(3):491-503.
    pubmed: 12214758doi: 10.1088/0967-3334/23/3/302google scholar: lookup

Citations

This article has been cited 4 times.
  1. Van Gelder P, Audenaert E, Calders P, Leybaert L. A new look at osteoarthritis: Threshold potentials and an analogy to hypocalcemia. Front Aging 2023;4:977426.
    doi: 10.3389/fragi.2023.977426pubmed: 36970729google scholar: lookup
  2. Collins DP, Elsouri KN, Demory Beckler M. Osteoarthritis: Can We Do Better?. Cureus 2022 Nov;14(11):e31505.
    doi: 10.7759/cureus.31505pubmed: 36532910google scholar: lookup
  3. Favreau H, Chennen K, Feruglio S, Perennes E, Anton N, Vandamme T, Jessel N, Poch O, Conzatti G. Knee Osteoarthritis Diagnosis: Future and Perspectives. Biomedicines 2025 Jul 4;13(7).
    doi: 10.3390/biomedicines13071644pubmed: 40722715google scholar: lookup
  4. Lee JH, Jang YS, Chang WD. The cartilage-generated bioelectric potentials induced by dynamic joint movement; an exploratory study. BMC Musculoskelet Disord 2025 Jul 9;26(1):669.
    doi: 10.1186/s12891-025-08939-8pubmed: 40634907google scholar: lookup