UNIVERSITY PARK, Pa. — Rotator cuff injuries are the second leading cause of musculoskeletal pain, following lower back pain. Their prevalence increases with age, with individuals over 80 years old at a 64% risk of the injury. While therapy and surgery can help with recovery, the initial injury rarely heals completely and can often induce secondary injury to adjacent muscles and impact function.
Now, with a five-year, $2.3 million Stephen I. Katz Early Stage Investigator Research Project Grant from the National Institutes of Health’s National Institute of Arthritis and Musculoskeletal and Skin Diseases, researchers from Penn State and the University of Oregon are collaborating to better understand how both injury and surgical repair affect the muscle’s composition.
“Our goal is to understand what’s actually happening to muscle composition and structure after a rotator cuff tear — after all, statistics indicate that at least half of us will probably have a cuff tear at some point in our lives,” said Meghan Vidt, lead principal investigator and Penn State assistant professor of biomedical engineering and of physical medicine and rehabilitation. “We’re looking at how strength and function change, especially as fat infiltrates the muscle, over time. There are a lot of studies that touch on this, but what makes this study unique is that we are looking at these changes comprehensively.”
Fat moves into the muscle as it atrophies after injury, meaning that it simply does not function as well as it did pre-injury, Vidt said. Using animal models, the researchers will use magnetic resonance imaging (MRI) and multi-scale mechanical testing to analyze how the muscle changes structurally and functionally during this process.
“We want to interrogate how the composition and the architecture of the muscle fibers change,” Vidt said. “Function follows structure. If the structure of the muscle changes, the function may change. We have to understand these associations to improve outcomes for patients.”
Once the team has the experimental data, they also plan to develop a computational model to perform simulations and better understand the structure-function associations of muscle. They also plan to put this model in the hands of clinicians who can adjust parameters in the model and predict the outcome for a human patient.
“Current surgical repair success rates are quite variable, and most patients never completely get back to pre-injury status,” Vidt said. “If we can understand the mechanisms driving the system and those impacts, and scale up to assess strength, mobility, and function, that gives us the opportunity to help clinicians identify and target with treatment the biggest factor influencing function. We want to get this model into the hands of a surgeon, who can match the patient presentation and adjust variables — based on our experimental understanding — to predict patient outcomes and direct treatment plans.”