4.5 Review

Animal models of osteoarthritis: classification, update, and measurement of outcomes

Journal

Publisher

BMC
DOI: 10.1186/s13018-016-0346-5

Keywords

Osteoarthritis; Animal models; Non-invasive models; Post-traumatic osteoarthritis; Osteoarthritic phenotypes; Imaging; Outcomes

Categories

Funding

  1. Raymond and Beverly Sackler Center for Biomedical, Biological, Physical, and Engineering Sciences
  2. NIH [R01 AR063698, DP1 AR068147]
  3. National Science Foundation
  4. Presidential Award for Excellence in Science, Mathematics and Engineering Mentoring (PAESMEM)
  5. National Medal of Technology and Innovation (NMTI)

Ask authors/readers for more resources

Osteoarthritis (OA) is one of the most commonly occurring forms of arthritis in the world today. It is a debilitating chronic illness causing pain and immense discomfort to the affected individual. Significant research is currently ongoing to understand its pathophysiology and develop successful treatment regimens based on this knowledge. Animal models have played a key role in achieving this goal. Animal models currently used to study osteoarthritis can be classified based on the etiology under investigation, primary osteoarthritis, and post-traumatic osteoarthritis, to better clarify the relationship between these models and the pathogenesis of the disease. Non-invasive animal models have shown significant promise in understanding early osteoarthritic changes. Imaging modalities play a pivotal role in understanding the pathogenesis of OA and the correlation with pain. These imaging studies would also allow in vivo surveillance of the disease as a function of time in the animal model. This review summarizes the current understanding of the disease pathogenesis, invasive and non-invasive animal models, imaging modalities, and pain assessment techniques in the animals.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available