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Standardized Histomorphometric Evaluation of Osteoarthritis in a Surgical Mouse Model
Published on: May 6, 2020
Is osteoarthritis a heterogeneous disease that can be stratified into subsets?
Jeffrey B Driban1, Michael R Sitler, Mary F Barbe
1Department of Kinesiology, Temple University, 002 Pearson Hall, 1800 N. Broad Street, Philadelphia, PA 19122, USA. jdriban@temple.edu
Abstract:
Osteoarthritis is a heterogeneous disease characterized by variable clinical features, biochemical/genetic characteristics, and responses to treatments. To optimize palliative effects of current treatments and develop efficacious disease-modifying interventions, treatments may need to be tailored to the individual or a subset of osteoarthritic joints. The purpose of this review is to explore the current literature on the clinical and physiological variability in osteoarthritis and potential for stratifying patients. Several stratifications have been reported, including mechanism of onset, stage of disease progression, involved joints, inflammatory levels, and effusion. Most of these methods revealed two to three unique subsets of osteoarthritis. Osteoarthritic joints may be stratified by an array of variables, some transient and others consistent throughout the disease process. Future research needs to continue to explore stratification techniques since these may be the key to optimizing palliative interventions and developing disease-modifying interventions for subsets within this heterogeneous disease.
Insights
Osteoarthritis (OA) is a complex disease with varied patient responses. Stratifying OA patients into distinct subsets is crucial for developing targeted treatments and improving therapeutic outcomes.
Area of Science:
- Rheumatology and Orthopedics
- Translational Medicine
Background:
- Osteoarthritis (OA) presents as a heterogeneous condition with diverse clinical manifestations, genetic profiles, and treatment responses.
- Current OA treatments often lack efficacy due to this variability, necessitating personalized therapeutic strategies.
Purpose of the Study:
- To review existing literature on clinical and physiological variability in osteoarthritis.
- To explore the potential for stratifying osteoarthritis patients into distinct subgroups for tailored interventions.
Main Methods:
- Systematic review of current literature on osteoarthritis heterogeneity.
- Analysis of reported stratification methods based on clinical and physiological variables.
Main Results:
- Several stratification approaches have been identified, including disease onset, progression stage, joint involvement, inflammation, and effusion.
- These methods commonly reveal two to three distinct osteoarthritis subsets.
- Stratification variables can be transient or consistent throughout the disease course.
Conclusions:
- Patient stratification holds significant promise for optimizing current osteoarthritis treatments.
- Further research into stratification techniques is essential for developing effective, disease-modifying interventions for specific OA subgroups.
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