Radiographic evidence of OA is present in more than 50% of patients 10 years after ACL reconstruction. However, the etiology of early onset OA after ACL reconstruction is not well understood. While previous work has demonstrated changes in joint motion following reconstruction, it is unclear how these altered motions relate to changes in the local mechanical response of cartilage to in vivo loading. This information may be critical to understanding the onset of OA, as the mechanical response of cartilage affects cartilage homeostasis. In line with this mechanism, our pilot data indicates that regions of high cartilage strain measured in patients with ACL injury and reconstruction are susceptible to decreased cartilage thickness, a characteristic feature of OA. Importantly, these degenerative changes are observed as early as 18 months post-reconstruction. Therefore, in this proposal our overall hypothesis is that site-specific changes in the mechanical response of cartilage to loading following ACL injury and reconstruction are predictive of long-term cartilage degeneration. Specifically, we hypothesize that in regions of cartilage experiencing elevated strain during loading, early degeneration will be reflected by altered composition and decreased cartilage thickness. Thus, we will measure localized cartilage strain, composition, and thickness at four time-points: after ACL injury but prior to reconstruction, as well as at 3 months, 1 year, and 2 years after surgery. At each time point, a combination of high-speed biplanar radiography and MR imaging will be used to measure local cartilage strains during in vivo loading. To assess cartilage degeneration, we will use MRI to measure site-specific changes in composition (using T1rho and T2 relaxation times) and cartilage thickness. Additionally, our analyses will account for relevant biological variables such as age, sex, and BMI, and clinical factors such as graft placement characteristics and meniscus injuries. In addition to mechanical factors, biological factors such as joint inflammation and lubrication may also play a role in cartilage degeneration after ACL reconstruction. Therefore, synovial fluid and serum will be collected to measure inflammatory mediators and metabolic biomarkers. Using this data, we will develop a predictive model of cartilage degeneration after ACL reconstruction that utilizes both mechanical and biological factors, as well as other demographic and clinical characteristics, to predict declines in cartilage health. Furthermore, this comprehensive dataset will be used to develop clinical phenotypes to identify those at high risk for cartilage degradation after ACL reconstruction. Importantly, the development of these phenotypes will enable targeted treatment approaches focusing on surgical procedures, pharmaceutical targets, and non- pharmacological interventions such as physical therapy or weight loss in preventing cartilage degeneration. Therefore, our findings will both elucidate the role of alterations in the local mechanical response of cartilage on degeneration after ACL reconstruction and improve the identification and treatment of patients at high risk for cartilage degeneration.

Public Health Relevance

Early onset osteoarthritis (OA) is a major concern after ACL reconstruction. This project will develop a predictive model of cartilage degeneration after ACL reconstruction using a novel combination of mechanical factors, biological factors, demographics, and clinical characteristics. This information is critical to developing new targets aimed at OA prevention after ACL reconstruction.

Agency
National Institute of Health (NIH)
Institute
National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS)
Type
Research Project (R01)
Project #
5R01AR065527-07
Application #
9983593
Study Section
Musculoskeletal Tissue Engineering Study Section (MTE)
Program Officer
Washabaugh, Charles H
Project Start
2014-05-01
Project End
2024-07-31
Budget Start
2020-08-01
Budget End
2021-07-31
Support Year
7
Fiscal Year
2020
Total Cost
Indirect Cost
Name
Duke University
Department
Orthopedics
Type
Schools of Medicine
DUNS #
044387793
City
Durham
State
NC
Country
United States
Zip Code
27705
Owusu-Akyaw, Kwadwo A; Kim, Sophia Y; Spritzer, Charles E et al. (2018) Determination of the Position of the Knee at the Time of an Anterior Cruciate Ligament Rupture for Male Versus Female Patients by an Analysis of Bone Bruises. Am J Sports Med 46:1559-1565
Taylor, Kevin A; Collins, Amber T; Heckelman, Lauren N et al. (2018) Activities of daily living influence tibial cartilage T1rho relaxation times. J Biomech :
Owusu-Akyaw, Kwadwo A; Heckelman, Lauren N; Cutcliffe, Hattie C et al. (2018) A comparison of patellofemoral cartilage morphology and deformation in anterior cruciate ligament deficient versus uninjured knees. J Biomech 67:78-83
Martin, John T; Oldweiler, Alexander B; Spritzer, Charles E et al. (2018) A magnetic resonance imaging framework for quantifying intervertebral disc deformation in vivo: Reliability and application to diurnal variations in lumbar disc shape. J Biomech 71:291-295
Englander, Zoƫ A; Martin, John T; Ganapathy, Pramodh K et al. (2018) Automatic registration of MRI-based joint models to high-speed biplanar radiographs for precise quantification of in vivo anterior cruciate ligament deformation during gait. J Biomech 81:36-44
Collins, Amber T; Kulvaranon, Micaela L; Cutcliffe, Hattie C et al. (2018) Obesity alters the in vivo mechanical response and biochemical properties of cartilage as measured by MRI. Arthritis Res Ther 20:232
Hatcher, Courtney C; Collins, Amber T; Kim, Sophia Y et al. (2017) Relationship between T1rho magnetic resonance imaging, synovial fluid biomarkers, and the biochemical and biomechanical properties of cartilage. J Biomech 55:18-26
Liu, Betty; Lad, Nimit K; Collins, Amber T et al. (2017) In Vivo Tibial Cartilage Strains in Regions of Cartilage-to-Cartilage Contact and Cartilage-to-Meniscus Contact in Response to Walking. Am J Sports Med 45:2817-2823
DeFrate, Louis E (2017) Effects of ACL graft placement on in vivo knee function and cartilage thickness distributions. J Orthop Res 35:1160-1170
Liu, Betty; Goode, Adam P; Carter, Teralyn E et al. (2017) Matrix metalloproteinase activity and prostaglandin E2 are elevated in the synovial fluid of meniscus tear patients. Connect Tissue Res 58:305-316

Showing the most recent 10 out of 15 publications