1
|
Menges S, Kleinschmidt-Dörr K, Brenneis C. Enlarged colony housing promotes linear progression of subchondral bone remodeling in joint instability rat models. Front Physiol 2024; 14:1232416. [PMID: 38260097 PMCID: PMC10800552 DOI: 10.3389/fphys.2023.1232416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 12/20/2023] [Indexed: 01/24/2024] Open
Abstract
Objective: Osteoarthritis (OA) is a disease with high prevalence and an unmet medical need for disease modifying treatments. In rat models, OA-like subchondral bone and cartilage changes can be induced by instability surgery with different severity levels. Factors which determine structural changes additionally comprise the study duration and activity-impacted joint loading. Methods: A medial meniscal tear (MMT) or anterior cruciate ligament transection with partial meniscectomy (ACLT+pMx) was induced unilaterally in rats housed in a rat colony cage (RCC), allowing high activity levels including jumping and stair climbing. In parallel, ACLT+pMx rats were housed in Type IV cages. The time course of OA-related changes was investigated at 4, 8, 12, and 16 weeks after surgery by micro-CT, gait analysis and joint diameter measurements. Results: Gait disturbance was observed after 2 weeks and to a similar extend in all models. The increase in ipsilateral joint diameters peaked after 2 weeks and were more pronounced after ACLT+pMx compared to MMT-surgery, but independent of housing. Micro-CT analysis revealed that increases in osseous tibial width were most distinct after ACLT+pMx in RCC and progressed continuously until week sixteen. In contrast, osseous tibial width of ipsilateral joints in MMT RCC and ACLT+pMx Type IV groups did not increase further after week twelve. In contralateral joints, this parameter was not affected, regardless of the model or caging. However, a significant increase in bone volume fraction and trabecular thickness was observed over time in the femur and tibia of both ipsilateral and contralateral knees. Here, the medial tibial compartment of the operated joint was most affected and linear changes were most pronounced in the ACLT+pMx RCC group. Conclusion: Increased movement of animals in colony cages leads to robust structural changes in subchondral bone after surgically induced joint instability over time, while in regular Type IV housing maximal changes are reached in week twelve. The new insights into the differentiation of the models, particularly with respect to the linear progression of bone changes in ACLT+pMx in the RCC, may be useful for the design of chronic OA-studies within a longer lifespan and therefore supporting the development of novel therapies.
Collapse
|
2
|
Westhof A, Kleinschmidt-Doerr K, Michaelis M, Brenneis C. Dynamic weight-bearing test during jumping: A sensitive outcome measure of chronic osteoarthritis pain in rats. Heliyon 2021; 7:e07906. [PMID: 34522804 PMCID: PMC8427200 DOI: 10.1016/j.heliyon.2021.e07906] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2021] [Revised: 07/22/2021] [Accepted: 08/30/2021] [Indexed: 11/06/2022] Open
Abstract
Pain due to osteoarthritis (OA) often occurs during locomotion in the vertical direction when joints are subjected to high mechanical load, e.g. during standing up from a chair or using stairs. To investigate joint pain in OA rat models, dynamic weight-bearing or gait analysis is traditionally conducted during horizontal walking on a flat surface. However, in chronic models of OA, which are of particular translational relevance for the disease, differences in the readouts between OA and control rats are often weak and of high variability leading to an insufficient assay window for drug profiling. To measure pain-related symptoms more sensitively, we conducted a dynamic weight-bearing test in the moment of a strong voluntary mechanical load. For that, we permanently housed rats in a four-story rat colony cage (RCC) and determined hind paw forces during voluntary jumping from one level to the next. This outcome measure was named jump incapacitance. After inducing OA by destabilizing the medial meniscus (DMM), we found that during jumps the average ipsilateral over contralateral hind paw forces were significantly reduced compared with healthy controls (jump incapacitance) from early- (day 7) to late-stage disease (day 90). An intra-articular injection of Zilretta (triamcinolone acetonide extended-release injectable suspension) attenuated OA-induced jump incapacitance after 8 days compared with DMM rats receiving vehicle (p = 0.069). In contrast, a CatWalk test for gait disturbance failed to detect any significant alterations in the chronic course of the DMM model. In conclusion, the dynamic weight-bearing test during jumping represents a novel method to characterize joint pain symptoms even in a slowly progressive OA rat model. It is sensitive, observer independent, relates to clinically relevant endpoints and demonstrates backtranslation of a drug that is approved for the treatment of OA knee pain.
Collapse
Affiliation(s)
- Andreas Westhof
- TIP Immunology, Innovation Cluster Osteoarthritis, Merck Healthcare KGaA, Darmstadt, Germany
| | | | - Martin Michaelis
- TIP Immunology, Innovation Cluster Osteoarthritis, Merck Healthcare KGaA, Darmstadt, Germany
| | - Christian Brenneis
- TIP Immunology, Innovation Cluster Osteoarthritis, Merck Healthcare KGaA, Darmstadt, Germany
| |
Collapse
|
3
|
Coulombe JC, Mullen ZK, Lynch ME, Stodieck LS, Ferguson VL. Application of machine learning classifiers for microcomputed tomography data assessment of mouse bone microarchitecture. MethodsX 2021; 8:101497. [PMID: 34754768 PMCID: PMC8563473 DOI: 10.1016/j.mex.2021.101497] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Accepted: 08/22/2021] [Indexed: 01/24/2023] Open
Abstract
The current standard approach for analyzing cortical bone structure and trabecular bone microarchitecture from micro-computed tomography (microCT) is through classic parametric (e.g., ANOVA, Student's T-test) and nonparametric (e.g., Mann-Whitney U test) statistical tests and the reporting of p-values to indicate significance. However, on their own, these univariate assessments of significance fall prey to a number of weaknesses, including an increased chance of Type 1 error from multiple comparisons. Machine learning classification methods (e.g., unsupervised, k-means cluster analysis and supervised Support Vector Machine classification, SVM) simultaneously utilize an entire dataset comprised of many cortical structure or trabecular microarchitecture measures, thus minimizing bias and Type 1 error that are generated through multiple testing. Through simultaneous evaluation of an entire dataset, k-means and SVM thus provide a complementary approach to classic statistical analysis and enable a more robust assessment of microCT measures.
Collapse
Affiliation(s)
- Jennifer C. Coulombe
- Department of Mechanical Engineering, UCB 427, University of Colorado, Boulder, CO 80309, United States of America
- BioFrontiers Institute, UCB 596, University of Colorado, Boulder, CO 80309, United States of America
| | - Zachary K. Mullen
- Laboratory for Interdisciplinary Statistical Analysis / Department of Computer Science, UCB 427, University of Colorado, Boulder, CO 80309, United States of America
| | - Maureen E. Lynch
- Department of Mechanical Engineering, UCB 427, University of Colorado, Boulder, CO 80309, United States of America
- BioFrontiers Institute, UCB 596, University of Colorado, Boulder, CO 80309, United States of America
| | - Louis S. Stodieck
- Aerospace Engineering Sciences / BioServe Space Technologies, UCB 429, University of Colorado, Boulder, CO 80309, United States of America
| | - Virginia L. Ferguson
- Department of Mechanical Engineering, UCB 427, University of Colorado, Boulder, CO 80309, United States of America
- BioFrontiers Institute, UCB 596, University of Colorado, Boulder, CO 80309, United States of America
- Aerospace Engineering Sciences / BioServe Space Technologies, UCB 429, University of Colorado, Boulder, CO 80309, United States of America
| |
Collapse
|