Funded Projects

Chronic pain affects millions of Americans and remains poorly understood and challenging to manage. Researchers do not fully understand brain processes involved in chronic pain, which can vary considerably from person to person. This project will analyze brain function using magnetic resonance imaging (MRI) in individuals with and without chronic pain. The research will also directly determine the degree of pain-related brain imaging changes by using a large database of brain imaging data.

It is unclear if long-term use of opioids by head and neck cancer patients affects risk for depression, which is higher in this population compared to people without cancer. This knowledge could inform interventions such as increased opioid prescription safety or alternative pain management approaches and could thus help reduce the risk for depression-related outcomes. This project will use data from a national cancer database linked to Medicare claims and a Veterans Administration database to determine whether people with head and neck cancer that take opioid medications for more than 90 days have increased risk for new-onset or worsening depression or suicide death.

Fifty million Americans experience chronic pain, including about 25 million who report pain that substantially interferes with daily activities and reduces quality of life. Mental health problems, including depression, anxiety, and post-traumatic stress disorder, increase risk for severe chronic pain. This project will use genetic data, information about observable characteristics (phenotypic data), and neuroimaging data from three large databases to identify psychosocial factors that predict chronic pain, assess differences across diverse U.S. populations, and determine whether risk profiles predict post-surgical chronic pain.

Sickle cell disease is an inherited blood disorder affecting about 100,000 Americans and more than 20 million people worldwide. It is caused by a mutation in the gene for beta-globin that results in the characteristic sickled shape of red blood cells, life-long severe pain, and shortened lifespan. Sickle cell disease pain episodes are usually unanticipated, making it hard for people with the condition to manage their pain and putting them at risk for increased use of opioids and poor health outcomes. This project will use existing real-time health data to identify factors that can predict onset, severity, and worsening of daily pain in children with sickle cell disease.

Few integrated treatments are available that simultaneously address the fundamental causes of chronic pain and opioid misuse/opioid use disorder and focus on well-being among individuals with chronic pain and opioid misuse/opioid use disorder. This research will inform development of patient-centered interventions that increase quality of life and engagement in valued activities, are culturally appropriate for use by diverse patient populations, and reduce stigma related to chronic pain and opioid misuse/opioid use disorder. The results of this project will be used to inform future research focused on developing mobile health treatments for individuals with chronic pain and opioid use disorder, and for developing culturally appropriate treatments for chronic pain and opioid use disorder in Hispanic/Latino individuals.

Effective treatments for opioid use disorder need to address the complex needs of patients, which may include mental health problems and substantial chronic pain. This project will measure lifetime trauma experienced by men and women who take medication for opioid use disorder, as well analyze the association between types of trauma and symptomatic distress. The project will also explore whether an individual’s perceptions of sensations from inside their body (interoceptive awareness) affect emotional control and mental health. This research will fill knowledge gaps i critical to better understanding opioid use disorder treatment and relapse.

Many molecular gates known as ion channels control the flow of electrical signals to sensory neurons and are thus key mechanisms and targets for understanding and interrupting pain signals. Recent breakthroughs in structural and computational biology shave illuminated specific molecular shapes of ion channels, which permits the improved design and refinement of small, stable protein-like molecules (peptide antigens). These peptides can stimulate an immune response that can then be targeted with a bioengineered antibody to match the peptide antigen. This project will test bioengineered antibodies in a rat model of chemotherapy-induced peripheral neuropathy within a region of the rat spinal cord that transmits signals to and from the brain.

This research is measuring patient-reported outcomes, unique physical and behavioral characteristics, and opioid use in individuals with chronic low back pain who are using virtual reality (VR) therapy. This project expands the clinical pain workforce by enhancing the ability of an early career clinician to conduct mixed-methods research involving patients using VR technology. This research will contribute new information about barriers to implementing VR technologies across diverse populations, patient preferences for using VR for relief of chronic low back pain.

Prior research has shown that chronic pain is common among immigrants and refugees. Cultural preferences for pain management, combined with barriers to healthcare in the United States, result in a lack of effective and accessible pain treatment in these populations. Pain experiences and treatment preferences of non-English-speaking immigrant and refugee communities are poorly understood because of a lack of research conducted in non-English-speaking immigrants’ native languages. This research will develop effective, equitable, and sustainable interventions for individuals with both chronic pain and opioid use disorder: in particular, individuals within Hispanic/Latino and Bhutanese communities.

An important step for identifying new, non-addictive chronic pain treatments is the search for new, non-opioid molecular targets that reflect the human condition. Recent findings show an increase in levels of two proteins (calcium channel alpha-2delta-1 subunit and thrombospondin) in sensory and spinal cord neurons after nerve injury. This increase is associated with the development of neuropathic pain. This project will determine if chronic injury to key nerve fibers involved in pain cause changes in rat behavior that indicate altered mood. These nerve fibers include the trigeminal nerve that communicates pain, touch, and temperature sensations from the face to the brain and the L5/6 spinal nerves often associated with back and leg pain. This research will also test whether small protein-like molecules (peptides) that block calcium channel alpha-2delta-1 subunit and thrombospondin also block the mood-related behaviors.

Acute and chronic pain vary widely across patients, due in large part to genetic differences between individuals. The same variation occurs in preclinical animal models with diverse genetic backgrounds. The development of automated mouse “pain scales” using high-speed videography, machine learning, and custom software allows pain to be assessed in a quantitative manner in nonverbal animals. This technology will be used to identify genetically different mice with high or low pain sensitivity, which will facilitate the development of new therapeutic strategies to treat pain and reduce reliance on opioids.

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.