Funded Projects

The HEAL Initiative is establishing a HEAL Data Ecosystem to help investigators manage and share HEAL-generated data, and quickly and efficiently disseminate HEAL results broadly to stakeholders. The HEAL Platform, built by the University of Chicago, will enable broad sharing of HEAL data by linking data stored in various locations, annotated and curated to various extents, to one central interface where studies, data, and digital assets can be discovered and accessed via metadata query. The Platform will also provide secure workspaces so that under appropriate conditions, data can be pulled from disparate repositories and computed on in the same cloud space, using tools and analytic suites provided within. The Platform team will collaborate closely with the HEAL Data Stewardship Group (Renascence Computing Institute at the University of North Carolina Chapel Hill and RTI, International) to meet the needs and goals of the HEAL Data Ecosystem.

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.

Chronic musculoskeletal pain is common and often severe enough to be disabling. Some treatments such as cognitive behavioral therapies or analgesics may relieve pain for some, but not all patients. Combining effective therapies and providing support to ensure that patients are motivated to adhere to their treatment may prove to be more beneficial to patients than prescribing a drug or recommending a single non-pharmacological treatment. This study aims to evaluate a combination of complementary treatments and Registered Nurse (RN) support to motivate patients to use and maintain combined therapies. Some patients will receive phone-based motivational interviews with an RN to enhance their adherence to pain coping skills learned through web-based cognitive behavioral therapy in combination with duloxetine, a pain-relieving drug. Others will receive both treatments but will not receive support from an RN. The study aims to determine whether motivational nursing support enhances adherence to newly learned pain coping skills, and results in improved pain relief and physical function.

Opioid overdose deaths disproportionately affect Black individuals in the United States. While the use of complementary and integrative pain treatments is effective and widely recommended, Black pain patients (especially those who also have depression) face barriers to the use of these approaches. This project will refine, test, and prepare to implement a novel approach to overcoming these treatment barriers. The research will partner with and empower Black patients to find safe, effective pain treatments that best match their values, preferences, and lifestyles.

This project addresses the significant challenge of providing evidence-based, non-pharmacologic pain management to veterans with chronic pain living in rural regions. This research will test whether an innovative, virtual complementary and integrative group-based treatment will improve rural veterans’ pain management, function, and well-being. The research will also devise, evaluate, and adapt strategies for implementing this intervention while working with the health care system, veteran patients, and communities. The scalable, 12-week intervention includes pain education, mindfulness, pain-specific exercises, and cognitive behavioral strategies.

Chronic pain affects over 100 million Americans, costing society about $600 billion annually. Despite numerous pharmacological and non-pharmacological therapies, over 50% of chronic pain sufferers feel little control over their pain. CognifiSense has developed a patent-pending Virtual Reality Psychological Therapy (VRPT), which is designed to create lasting reduction of chronic pain by addressing the maladaptive learning processes driving pain chronification. VRPT is an experiential learning system, which provides the brain a new set of signals that teaches it that the pain is not as bad as it perceived and that it has greater control over the pain than it perceived. VRPT combines the immersive power and the ability to individualize the therapy of Virtual Reality with well-researched principles of self-distancing, self-efficacy, and extinction to retrain the brain. The goal of this study is to determine the clinical feasibility of VRPT in achieving a lasting reduction of chronic pain, establish brain mechanisms associated with treatment response, and collect comprehensive user feedback to enable further refinement of the current product prototype. CognifiSense's VRPT has the potential to be a significant clinical and business opportunity in the treatment of chronic pain.

Taxanes are among the most effective chemotherapeutic agents and are frequently used in the treatment of early stage and metastatic breast cancer. However, they are known to produce a pain condition known as Chemotherapy-Induced Peripheral Neuropathic Pain (CIPNP). CIPNP is one of the primary reasons a patient receives a limited dose of taxane. No diagnostic tool exists to identify patients that will develop CIPNP in response to taxane therapy. Biomarker signatures associated with taxane-induced neuropathic pain will be developed to: 1) identify patients at risk for developing debilitating taxane neuropathic pain before chemotherapy is initiated; and 2) to identify patients already on treatment who are at risk of developing neuropathic pain and need dosing adjustments to prevent CIPNP symptoms. This biomarker signature will be used to detect CIPNP-susceptible patients early and personalize their taxane therapy to minimize CIPNP while optimizing the therapeutic taxane dosing.

Osteoarthritis is a degenerative joint disease marked by progressively worsening chronic joint pain that affects function and quality of life. Non-opioid, alternative medications are needed for people with this condition. Joint inflammation, damage, and pain involve signaling through the interleukin-6/glycoprotein 130 pathway. This project will test blocking this pathway in rodents with a new molecule with improved drug-like properties, toward developing an oral medication for osteoarthritis. 

Chronic pain is maintained, in part, by persistent changes in sensory neurons, including a pathological increase in peptides derived from the neurosecretory protein VGF (non-acronymic). Preliminary findings show that the C-terminal VGF peptide, TLQP-62, contributes to spinal cord neuroplasticity and that TLQP-62 immunoneutralization attenuates established mechanical hypersensitivity in a traumatic nerve injury model of neuropathic pain. This project will test the hypothesis that spinal cord TLQP-62 signaling can be targeted for the development of new chronic pain treatments through immunoneutralization and/or receptor inhibition. It will pursue discovery and validation of TLQP-62-based therapeutic interventions along two parallel lines: identification of TLQP-62 receptor(s) and validation of anti-TLQP-62 antibodies as a potential biological therapeutic option for chronic neuropathic pain conditions.

People with diabetes are at risk for painful diabetic peripheral neuropathy. This pain may be experienced as burning, aching, hypersensitivity to touch, or simply as pain, and there are no currently FDA-approved medications that reduce its symptoms. This phase 2 clinical trial, through the EPPIC-NET program, will test a potential new treatment for painful diabetic peripheral neuropathy. The molecule, NRD135S.E1, is a lab-made version of a natural substance traditionally used to brew tea to treat a variety of indications, including pain, in a village in Siberia. In clinical studies, NRD135S.E1 was well tolerated by patients and showed clinically relevant pain relief. Testing within EPPIC-Net will use a master protocol, an innovative study design in which multiple treatments can be tested at the same time with fewer research participants.

There is a continued need to discover and validate new targets for potential therapeutic strategies for effective and safe treatment of pain. This project focuses on the protein metadherin, also known as astrocyte elevated gene-1 protein (AEG-1), as a possible new target for pain treatment. Preliminary studies have shown that mice genetically engineered to lack metadherin had significantly lower inflammation and chronic pain-related behaviors. This project aims to further validate AEG-1 as a pain target and test whether reducing levels in white blood cells called macrophages might work as a therapeutic strategy to reduce chronic inflammatory and/or neuropathic pain using an innovative nanoparticle approach to target specific cells.

This project will establish a rapid research pipeline for linking plant-derived compounds to nociception (pain) and to G Protein-Coupled Receptors (GPCRs) and ion channels in the druggable human genome. As more than 80% of these membrane proteins are conserved in the C. elegans nematodes, the study will screen for compounds and genes affecting nociception as well as to identify novel ligand-receptor pairs using this model organism. The study will test which understudied GPCRs and ion channels are involved in nociception as well as attraction or repulsion behaviors. This research has the potential to reveal novel ligand-receptor pairs that could serve as new entry points for improved or alternative pain treatments.