Emily H Lakes1, Kyle D Allen2. 1. J Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, United States; Institute for Cell & Tissue Science and Engineering, University of Florida, Gainesville, FL, United States. 2. J Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, United States; Institute for Cell & Tissue Science and Engineering, University of Florida, Gainesville, FL, United States. Electronic address: kyle.allen@bme.ufl.edu.
Abstract
BACKGROUND: Rodent gait analysis provides robust, quantitative results for preclinical musculoskeletal and neurological models. In prior work, surgical models of osteoarthritis have been found to result in a hind limb shuffle-stepping gait compensation, while a high dose monoiodoacetate (MIA, 3 mg) model resulted in a hind limb antalgic gait. However, it is unknown whether the antalgic gait caused by MIA is associated with severity of degeneration from the high dosage or the whole-joint degeneration associated with glycolysis inhibition. RESEARCH QUESTION: This study evaluates rodent gait changes resulting from a low dose, 1 mg unilateral intra-articular injection of MIA compared to saline injected and naïve rats. METHODS: Spatiotemporal and dynamic gait parameters were collected from a total of 42 male Lewis rats spread across 3 time points: 1, 2, and 4 weeks post-injection. To provide a detailed analysis of this low dose MIA model, gait analysis was used to uniquely quantify both fore and hind limb gait parameters. RESULTS: Our data indicate that 1 mg of MIA caused relatively minor degeneration and a shuffle-step gait compensation, similar to the compensation observed in prior surgical models. SIGNIFICANCE: These data from a 1 mg MIA model show a different gait compensation compared to a previously studied 3 mg model. This 1 mg MIA model resulted in gait compensations more similar to a previously studied surgical model of osteoarthritis. Additionally, this study provides detailed 4 limb analysis of rodent gait that includes spatiotemporal and dynamic data from the same gait trial. These data highlight the importance of measuring dynamic data in combination with spatiotemporal data, since compensatory gait patterns may not be captured by spatial, temporal, or dynamic characterizations alone.
BACKGROUND: Rodent gait analysis provides robust, quantitative results for preclinical musculoskeletal and neurological models. In prior work, surgical models of osteoarthritis have been found to result in a hind limb shuffle-stepping gait compensation, while a high dose monoiodoacetate (MIA, 3 mg) model resulted in a hind limb antalgic gait. However, it is unknown whether the antalgic gait caused by MIA is associated with severity of degeneration from the high dosage or the whole-joint degeneration associated with glycolysis inhibition. RESEARCH QUESTION: This study evaluates rodent gait changes resulting from a low dose, 1 mg unilateral intra-articular injection of MIA compared to saline injected and naïve rats. METHODS: Spatiotemporal and dynamic gait parameters were collected from a total of 42 male Lewis rats spread across 3 time points: 1, 2, and 4 weeks post-injection. To provide a detailed analysis of this low dose MIA model, gait analysis was used to uniquely quantify both fore and hind limb gait parameters. RESULTS: Our data indicate that 1 mg of MIA caused relatively minor degeneration and a shuffle-step gait compensation, similar to the compensation observed in prior surgical models. SIGNIFICANCE: These data from a 1 mg MIA model show a different gait compensation compared to a previously studied 3 mg model. This 1 mg MIA model resulted in gait compensations more similar to a previously studied surgical model of osteoarthritis. Additionally, this study provides detailed 4 limb analysis of rodent gait that includes spatiotemporal and dynamic data from the same gait trial. These data highlight the importance of measuring dynamic data in combination with spatiotemporal data, since compensatory gait patterns may not be captured by spatial, temporal, or dynamic characterizations alone.
Authors: L-C Tsai; E S Cooper; K M Hetzendorfer; G L Warren; Y-H Chang; N J Willett Journal: Osteoarthritis Cartilage Date: 2019-08-19 Impact factor: 6.576
Authors: Elena G Yarmola; Yash Y Shah; Emily H Lakes; Yan C Pacheco; Danny F Xie; Jon Dobson; Kyle D Allen Journal: Connect Tissue Res Date: 2019-08-23 Impact factor: 3.342
Authors: Brittany Y Jacobs; Emily H Lakes; Alex J Reiter; Spencer P Lake; Trevor R Ham; Nic D Leipzig; Stacy L Porvasnik; Christine E Schmidt; Rebecca A Wachs; Kyle D Allen Journal: Sci Rep Date: 2018-06-28 Impact factor: 4.379