Embolization for Osteoarthritic Pain: Ready to Cross the Chasm?

Osteoarthritic pain has a strong impact on patients’ quality of life. Understanding the pathogenic mechanisms underlying osteoarthritic pain will likely lead to the development of more effective treatments. In the present study of osteoarthritic model rats, we observed a reduction of M-current density and a remarkable decrease in the levels of KCNQ2 and KCNQ3 proteins and mRNAs in dorsal root ganglia (DRG) neurons, which were associated with hyperalgesic behaviors. The activation of KCNQ/M channels with flupirtine significantly increased the mechanical threshold and prolonged the withdrawal latency of osteoarthritic model rats at 3–14 days after model induction, and all effects of flupirtine were blocked by KCNQ/M-channel antagonist, XE-991. Together, these results indicate that suppression of KCNQ/M channels in primary DRG neurons plays a crucial role in the development of osteoarthritic pain.

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Evaluation of the safety of long-term, daily oral administration of grapiprant, a novel drug for treatment of osteoarthritic pain and inflammation, in healthy dogs

American Journal of Veterinary Research ◽

10.2460/ajvr.76.10.853 ◽

2015 ◽

Vol 76 (10) ◽

pp. 853-859 ◽

Cited By ~ 18

Author(s):

Lesley C. Rausch-Derra ◽

Margie Huebner ◽

Linda Rhodes

Keyword(s):

Oral Administration ◽

Healthy Dogs ◽

Novel Drug ◽

Osteoarthritic Pain ◽

Daily Oral Administration

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Gait Prediction Using Concurrent Musculoskeletal Control and FE Simulations

ASME 2009 Summer Bioengineering Conference, Parts A and B ◽

10.1115/sbc2009-206525 ◽

2009 ◽

Author(s):

Jason P. Halloran ◽

Marko Ackermann ◽

Ahmet Erdemir ◽

Antonie J. van den Bogert

Keyword(s):

Soft Tissue ◽

Daily Living ◽

Clinical Applications ◽

Simulation Framework ◽

Foot Ulceration ◽

Plantar Pressures ◽

Simplifying Assumptions ◽

Tissue Models ◽

Musculoskeletal Simulations ◽

Osteoarthritic Pain

Current computational methods of simulating activities of daily living (ADL) have primarily consisted of musculoskeletal simulations [1]. Due to computational expense, simulations generally include assumptions which simplify joint or soft-tissue behavior. Joints are modeled as hinge or spherical and soft-tissue effects are included as spring-dashpot systems. Incorporating detailed deformable soft-tissue models would help overcome simplifying assumptions by coupling the behavior of a muscle loaded model with the underlying structures. Important clinical applications for a multi-domain simulation framework include, but are hardly limited to, predicting modifications to ADL to compensate for osteoarthritic pain or minimizing peak plantar pressures, which are believed to be significant for diabetic foot ulceration.

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