Funded Projects

The HEAL Initiative is establishing a HEAL Data Ecosystem to help investigators manage and share HEAL-generated data. A key principle underlying the HEAL Data Ecosystem strategy is to make those data findable, accessible, interoperable, and reusable (FAIR). Renascence Computing Institute at the University of North Carolina Chapel Hill (RENCI) and RTI, International (RTI) [RENCI/RTI] are serving as the HEAL Data Stewardship Group to guide HEAL investigators as they prepare their data to connect to the HEAL Platform, a secure data access and computing environment that will leverage metadata query to provide access to data and digital assets stored in various disparate repositories. The HEAL Data Stewardship Group is engaging HEAL investigators to understand and enhance data management needs, provide tools, training, and best practices for making data FAIR, and understand and support valuable uses and reuses of HEAL data sharing via the Platform The HEAL Data Stewardship Group will collaborate closely with the HEAL Platform team at the University of Chicago to meet the needs and goals of the HEAL Data Ecosystem.

Osteoarthritis (OA) is the most common form of arthritis and a leading cause of pain and disability. Current challenges of managing OA are that there is no OA disease-modifying drug available, there are few effective treatment strategies, and there is an over-reliance on the use of opioids to manage OA-related joint pain. This project aims to validate vascular endothelial growth factor receptors 1 and 2 (VEGFR 1 receptor = Flt1) and (VEGFR 2 receptor = Flk1) as novel therapeutic targets for OA. This is based on a hypothesis that blocking these two specific receptors of VEGF will inhibit cartilage tissue degeneration and alleviate pain symptoms. This study will test the role of VEGFR-1 and -2 in multiple OA animal models using multiple available VEGF inhibitor molecules. The findings from these studies will develop a rationale for future clinical trials to target VEGFR-1 and -2 for OA patients and develop a novel non-addictive treatment for both joint pain and OA pathology.

Chronic pain may be linked to poorer outcomes in those using medication-assisted treatments (MAT) to treat opioid use disorders (OUD). Psychosocial interventions for pain have been effective in patients with chronic pain and substance use disorders, but these interventions have not been thoroughly examined in the OUD population receiving MAT. The study team previously refined and adapted a psychosocial pain management intervention (PPMI) to be delivered by telephone for patients with OUD receiving MAT. The current study will understand the potential applicability of this intervention to other high-risk groups, such as veterans, study the longer-term impact of PPMI, and gather data to inform the implementation of PPMI in MAT patients. This work will provide a robust test of the PPMI intervention to help enhance MAT outcomes in a larger and more representative group of participants while also paving the way for future implementation of interventions to improve MAT retention.