Funded Projects

Many people with opioid use disorder (OUD) also have a serious mental illness and other chronic conditions, which can be difficult for individuals and primary care providers to manage. A chronic disease self-management program is an established health care model in which peers help to educate patients about their condition(s) and build problem-solving skills to manage their health. Such programs have been effective in other populations and settings, but they have not been adapted for primary care patients who have OUD and SMI. This project will adapt and test a chronic disease self-management program for this population to understand its feasibility, acceptability, impact, and how best to put such programs into place widely in primary care settings.

Neuropathic pain—a debilitating form of chronic pain affecting millions of people—responds poorly to current analgesic treatment approaches. By better understanding the cellular mechanisms and compounds involved in neuropathic pain, researchers will be able to develop more targeted therapeutic approaches. This project will investigate the role that two proteins—Ly6e and Lynx1—play in various processes involved in the development of neuropathic pain, such as the activity of pain-triggering sensory neurons, interactions between neurons and immune cells, and the activity of an ion channel that has been implicated in the generation of pain signals.

Knee osteoarthritis (OA) is a frequent cause of disability and chronic pain. Treatment often relies on analgesics like opioids to manage OA pain, with all the associated risks; other approaches to treat OA are often invasive and inaccessible to patients. Therefore, novel analgesic strategies are needed to reduce the high burden of knee OA-induced pain. This project aims to study in detail and target the sensory neurons that drive OA pain to assist in the development of more effective pain therapeutics.

Rheumatoid arthritis is an autoimmune disease characterized by episodes of joint inflammation and pain. There are currently no safe and effective treatments that achieve long-term remission of the condition or the associated pain. Many patients use opioid medications to manage the pain and are at increased risk of developing opioid use disorder; therefore, additional treatment options are needed. In rheumatoid arthritis, pain-triggering sensory neurons interact with immune cells in the joints. This project aims to dissect the neuroimmune crosstalk underlying pain and inflammation in arthritic joints and uncover novel therapeutic avenues for this painful condition.

There is a need for additional effective treatments for migraine, which affects more than 36 million people in the United States. This project will develop an oral medication to disrupt the biological processes that drive migraine pain, which include nerve inflammation in response to pain signals. 

Hospitalized patients often receive opioids for pain and sleep management, which can contribute to opioid dependence and continued use after leaving the hospital. Even when hospital stays are extended to wean people from opioids, these patients remain at increased risk for opioid use disorder and withdrawal.  This project will develop a novel small molecule medication that blocks nerve inflammation to prevent opioid dependence in hospitalized patients receiving opioids. 

There are a lack of clinical tools to effectively identify and monitor opioid use disorder (OUD). This project will develop and test a clinically usable device that uses a range of data inputs and an artificial intelligence (AI) algorithm to help health care providers diagnose and treat OUD. The research aims to help providers choose treatment plans and monitor the timing of release from rehabilitation clinics.

Optogenetics is a method of controlling nerve or brain activity using light-sensitive cell receptors (opsins). Optogenetics has been used in brain research for decades, allowing researchers to understand the brain and its associated disorders by selectively turning on and off specific nerve cells. This project will develop and refine use of an opsin and a light-stimulation device to control nerve cells contributing to the sensation of pain. 

This project will develop PIDA, which will allow researchers to measure the activity of pain-sensitive human neurons in response to pain stimuli and potential pain treatments. The tool will use automated digital microscopes in the absence or presence of a potential pain medication. Since this tool contains human neurons, it may be more effective at predicting the efficacy of potential pain drugs in human patients than the animal models that are currently used.

Thoracic (chest) surgeries often cause both short-term (acute) and long-term (chronic) pain and long-term opioid use. Unique genetic and clinical risk factors affect individual responses to surgical pain and pain medications. Current trial-and-error approaches to managing post-surgical pain and opioid prescribing are not ideal. This project will develop predictive software within a medical device that takes into account an individual’s genetic and clinical information to predict the likelihood of chronic pain following thoracic surgery.