Journal article
High-Bandwidth AFM-Based Rheology Reveals that Cartilage is Most Sensitive to High Loading Rates at Early Stages of Impairment
Biophysical journal, v 104(7), pp 1529-1537
02 Apr 2013
PMID: 23561529
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Utilizing a newly developed atomic-force-microscopy-based wide-frequency rheology system, we measured the dynamic nanomechanical behavior of normal and glycosaminoglycan (GAG)-depleted cartilage, the latter representing matrix degradation that occurs at the earliest stages of osteoarthritis. We observed unique variations in the frequency-dependent stiffness and hydraulic permeability of cartilage in the 1 Hz-to-10 kHz range, a frequency range that is relevant to joint motions from normal ambulation to high-frequency impact loading. Measurement in this frequency range is well beyond the capabilities of typical commercial atomic force microscopes. We showed that the dynamic modulus of cartilage undergoes a dramatic alteration after GAG loss, even with the collagen network still intact: whereas the magnitude of the dynamic modulus decreased two- to threefold at higher frequencies, the peak frequency of the phase angle of the modulus (representing fluid-solid frictional dissipation) increased 15-fold from 55 Hz in normal cartilage to 800 Hz after GAG depletion. These results, based on a fibril-reinforced poroelastic finite-element model, demonstrated that GAG loss caused a dramatic increase in cartilage hydraulic permeability (up to 25-fold), suggesting that early osteoarthritic cartilage is more vulnerable to higher loading rates than to the conventionally studied “loading magnitude”. Thus, over the wide frequency range of joint motion during daily activities, hydraulic permeability appears the most sensitive marker of early tissue degradation.
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Details
- Title
- High-Bandwidth AFM-Based Rheology Reveals that Cartilage is Most Sensitive to High Loading Rates at Early Stages of Impairment
- Creators
- Hadi Tavakoli Nia - Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts Center for Biomedical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MassachusettsIman S. Bozchalooi - Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts Center for Biomedical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MassachusettsYang Li - Massachusetts Institute of TechnologyLin Han - Massachusetts Institute of TechnologyHan-Hwa Hung - Massachusetts Institute of TechnologyEliot Frank - Massachusetts Institute of TechnologyKamal Youcef-Toumi - Massachusetts Institute of TechnologyChristine Ortiz - Massachusetts Institute of TechnologyAlan Grodzinsky - Massachusetts Institute of Technology
- Publication Details
- Biophysical journal, v 104(7), pp 1529-1537
- Publisher
- The Biophysical Society
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000317943300019
- Scopus ID
- 2-s2.0-84875896290
- Other Identifier
- 991019176647504721
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- Web of Science research areas
- Biophysics