Funded Projects

The Acute to Chronic Pain Signatures Program is developing a comprehensive data set that can be used to help predict which patients will recover from acute pain associated with surgery or injury and which ones will develop long-lasting chronic pain. This project will support an early career faculty member from a group underrepresented in biomedicine. The research will enhance skills development toward conducting and coordinating clinical pain research, generating omics datasets, advancing understanding of statistical methods, and other activities required for career development. 

The Early Phase Pain Investigation Clinical Network (EPPIC-Net) conducts comprehensive analyses of observable traits (deep phenotyping) and aims to identify molecular and physiological signatures to help characterize specific pain conditions. To achieve these goals, researchers collect complex data using technologies such as magnetic resonance imaging of the brain, actigraphy, and electroencephalography. There is a need to train researchers to be able to extract key information from high-powered computing resources now widely available.  This research will complement the goals of EPPIC-Net by enhancing development of novel statistical methods to analyze complex data generated by EPPIC-Net pain studies.

Many individuals with opioid use disorder pass through the criminal justice system over the course of their life. Improved access to high-quality, evidence-based addiction treatment in justice settings is critical to addressing the opioid crisis. The Justice Community Opioid Innovation Network (JCOIN) is studying approaches to increase high-quality care for people with opioid misuse and opioid use disorder in justice populations. This research supports a scientist from a group underrepresented in biomedicine to expand capacity of the Mason Coordination and Translation Center that is managing logistics, stakeholder engagement, and dissemination of findings and products from the JCOIN network.

The goal of this project is to discover potential targets for emergency department-based interventions that could enhance access to addiction treatment among Black and Latino individuals, who face significant disparities in access to ongoing addiction treatment. Through qualitative interviews with Black, Latino, and non-Latino White patients receiving emergency department-initiated buprenorphine, the research will identify patterns of barriers and facilitators for continuation of opioid use disorder treatment outside of the emergency department through a referral. The study will also evaluate differences in factors previously identified as predictors of worse treatment outcomes in these patient groups, including opioid overdose, polysubstance use, major depressive disorder, and stigma.

There are currently few effective therapies available for chronic nerve injury-induced pain, associated anxiety, and depression. This project aims to extend previous research aiming to uncover the mechanism of action of artificially modified immune molecules (humanized cholecystokinin-2 receptor [CCKBR] single-chain variable fragments [scFv]) on human neurons and how it reverses chronic pain and anxiety-like behaviors in mouse models. This potential treatment approach offers important advantages over existing therapies, including extreme specificity, higher affinity, brain/nerve penetrance, safety, and reduced self-immunogenicity.

Fibromyalgia is a chronic pain condition characterized by widespread musculoskeletal pain, tenderness, stiffness, fatigue, and sleep disturbance. The FAST trial (Fibromyalgia Activity Study with transcutaneous electrical nerve stimulation [TENS]) was the first study to conclusively demonstrate the clinical value of TENS for treating musculoskeletal pain. While physical therapists are trained in the use of TENS, it is underused in clinical practice. This project will test TENS in fibromyalgia patients receiving physical therapy in a real-world physical therapy practice setting. This research will determine if adding TENS to physical therapy reduces pain, increases adherence to physical therapy and allows fibromyalgia patients to reach their self-defined functional goals with less use of medication.

Despite the significance of spine disorders, there are few reliable methods to determine appropriate patient care and evaluate intervention effectiveness. The Back Pain Consortium Research Program
(BACPAC) is developing machine learning-based methods to obtain disease-related features from biological images. This project supports a scientist from a group underrepresented in biomedicine to expand ongoing research to improve ways to interpret medical data about spine disorders and associated pain.

Knee osteoarthritis is one of the leading causes of chronic pain and disability worldwide, affecting more than 30% of older adults. Rates of this condition have more than doubled in the past 70 years and continue to grow sharply, given increases in life expectancy and body mass index among the U.S. population. This project supports a scientist from a group underrepresented in biomedicine to expand ongoing clinical research comparing various non-medication-based treatments for knee osteoarthritis.

This research provides support to strengthen data management, data sharing, and data readiness efforts within the HEAL Initiative. This support further fosters collaboration among HEAL awardees and enables maximal data discoverability, interoperability, and reuse by aligning with the FAIR (Findable, Accessible, Interoperable, and Reusable) principles. It also provides an opportunity for existing HEAL Initiative award recipients to increase data “FAIR”-ness, participate in coordinated HEAL Initiative activities to build community around data sharing, and foster sustainability of HEAL Initiative digital assets.

Rigorous and impactful clinical pain research requires participant diversity that reflects the racial/ethnic diversity of affected populations. This project will enhance patient and other community engagement, particularly of underrepresented minorities, to participate in clinical research related to the transition of acute to chronic pain.

Neuropathic pain adversely affects quality of life and remains challenging to treat, presenting high unmet medical need. One example of this type of pain, chemotherapy-induced peripheral neuropathy, is a chronic, severely debilitating consequence of cancer therapy for which there are no effective treatment strategies. This research is testing a new cannabidiol (CBD) analogue (KLS-13019) with neuroprotective properties and which has improved drug-like properties compared to CBD. This project will optimize the process to manufacture KLS-13019, develop analytical methods, optimize its formulation, evaluate its safety and toxicity, and test KLS-13019’s efficacy of in a rat model of chemotherapy-induced peripheral neuropathy.

Relapse is common in people with opioid use disorder, and recovery attempts often fail within 6 months. This research project will test a novel virtual reality intervention to improve recovery outcomes for people recovering from opioid use disorder. By increasing future orientation and delay-of-reward behavior with a precision medicine personalized experience, the intervention is designed to enhance advantageous decision-making and increase positive future outcomes. The results of this study will provide critical data for creating a commercially viable software product for facilitating relapse prevention and improving opioid use disorder recovery outcomes.