Funded Projects

To respond quickly and effectively to the constantly changing dynamics of the opioid crisis, public health agencies and organizations need timely state and local data to make critical decisions about where to allocate resources and target responses. This project creates the Rapid Actionable Data for Opioid Response in Kentucky system, a near real-time statewide surveillance system. This resource will combine data from multiple state agencies to provide actionable and timely information to support opioid overdose prevention, harm reduction, evidence-based treatment, and recovery services. The project will also develop user-driven reporting and visualization tools (mobile and web-based apps) that provide immediate access to near real-time community or state level data, reports, and visual analytics.

There are currently no FDA-approved treatments for cocaine use disorder (CUD) or co-occurring substance use disorder. High relapse rates pose a major obstacle to treatment, and this is due in part to the way that high drug cravings reduce individuals’ cognitive flexibility in situations where they are stressed or exposed to drug-related cues. These effects appear to be stronger in women with CUD than in men. Building on preliminary data that a drug called Guanfacine reverses these effects in women, but not in men, this 3-year pilot clinical study will test whether Guanfacine will reduce cocaine use and increase abstinence and will use laboratory challenges to determine whether it reduces cravings and enhances cognitive flexibility in stressful or drug-cue-related situations.

Up to 5 percent of adolescents suffer from high-impact chronic musculoskeletal (MSK) pain, and only about 50 percent with chronic MSK pain who present for treatment recover. Current treatments for chronic MSK pain are suboptimal and have been tied to the opioid crisis. Discovery of robust markers of the recovery versus persistence of pain and disability is essential to develop more resourceful and patient-specific treatment strategies, requiring measurements across multiple dimensions in the same patient cohort in combination with a suitable computational analysis pipeline. Preliminary data has implicated novel candidates for neuroimaging, immune, quantitative sensory, and psychological markers for discovery. In addition, a standardized specimen collection, processing, storage, and distribution system is in place, along with expertise in machine learning approaches to extract reliable and prognostic bio-signatures from a large and complex data set. This project will facilitate risk stratification and a resourceful selection of patients who are likely to respond to current multidisciplinary pain treatment approaches.

Chronic pain diminishes the quality of life for millions of patients, and new drugs that have better efficacy and/or fewer side effects are needed. A promising target is the sphingosine-1-phosphate (S1P) receptor system, which mediates central nervous system (CNS) neuromodulatory functions. FTY720-phosphate, the active metabolite of FTY720 (FTY), acts as an agonist at four of the five S1P receptors (S1P1, 3, 4, 5). We propose that the S1P1 receptor is a target for treatment of neuropathic pain. We will test whether S1P1 receptors mediate anti-hyperalgesic effects in a mouse neuropathic pain model. The specific aims are to: 1) determine the role of S1P1Rs in alleviation of neuropathic pain by S1PR ligands; 2) determine the role of FTY-induced S1PR adaptation in FTY-mediated reversal of neuropathic pain; and 3) determine the role of S1P and S1P1 receptors in spinal glia in CCI-induced neuropathic pain and its reversal by FTY.

Pain in the muscles and surrounding connective tissue (myofascial pain) is a significant health concern affecting hundreds of millions of Americans.  Myofascial pain is primarily diagnosed by asking people about their amount of pain as well as through a physical examination. Both approaches are imprecise ways to diagnose the specific type of pain a patient is experiencing and what is causing it. This project aims to improve myofascial pain management and treatment by developing ways to measure changes to soft tissues (e.g., muscle, connective tissues, nerves, blood vessels) in people with myofascial pain compared with soft tissues in people who are not in pain. The project will develop an imaging biomarker that can distinguish healthy and diseased soft tissues that may contribute to myofascial pain syndrome. The project will then test the ability of these biomarkers to predict patient outcomes in a randomized controlled clinical trial.

More than 700,000 total knee replacement surgeries are performed each year in the United States to relieve joint pain in patients with end-stage osteoarthritis or rheumatic arthritis. However, many patients still experience significant pain after this procedure, calling for additional long-lasting, drug-free pain management strategies. This project will develop and test a commercial prototype device for persistent knee pain after total knee replacement. The injection-based method freezes peripheral nerves to reduce pain sensation.

Hesperos uses microphysiological systems in combination with functional readouts to establish systems capable of analysis of chemicals and drug candidates for toxicity and efficacy during pre-clinical testing, with initial emphasis on predictive toxicity. The team constructed physiological systems that represent cardiac, muscle and liver function, and demonstrated a multi-organ functional cardiac/liver module for toxicity studies as well as metabolic activity evaluations. In addition, the team demonstrated multi-organ toxicity in a 4-organ system composed of neuronal, cardiac, liver and muscle components. While much is known about the cells and neural circuitry regulating pain modulation there is limited knowledge regarding the precise mechanism by which peripheral and spinal level antinociceptive drugs function, and no available human-based model reproducing this part of the pain pathway. The ascending pain modulatory pathways provide a well characterized neural architecture for investigating pain regulatory physiology. In this project, the research team propose a human-on-a-chip neuron tri-culture system composed of nociceptive neurons, GABAergic interneurons and glutamatergic dorsal projection neurons (DPN) integrated with a MEMS construct. Using this model, investigators will interrogate pain signaling physiology at three levels, 1) at the site of origin by targeting nociceptive neurons with pain modulating compounds including noxious stimuli and inflammatory mediators, 2) at the inhibitory GABAergic interneuron, and 3) at the ascending spinal level by targeting glutamatergic DPNs. These circuits will be integrated utilizing expertise in patterning neurons as well as integration with BioMEMs devices. This system provides scientists with a better understanding of ascending pain pathway physiology and enable clinicians to consider alternative indications for treating pain at peripheral and spinal levels. 

The International Classification of Diseases 10th revision codes are insufficient to accurately identify individuals who use opioids and stimulants together. This project will search already collected electronic health record data using a computer program to identify people with polysubstance use and determine what health care they receive. The research will improve understanding of polysubstance use in a region of Los Angeles, California, with very high rates of overdoses involving fentanyl and stimulants. 

The research team will develop stimulation control algorithms to treat chronic pain using a novel device that allows longitudinal intracranial signal recording in an ambulatory setting. Subjects with refractory chronic pain syndromes will undergo bilateral surgical implant of temporary electrodes in the thalamus, anterior cingulate, prefrontal cortex, insula, and amygdala to identify candidate biomarkers of pain and optimal stimulation parameters. Six patients will proceed to chronic implantation of “optimal” brain regions for long-term recording and stimulation. The team will first validate biomarkers of low- and high-pain states to define neural signals for pain prediction in individuals. They will then use these pain biomarkers to develop personalized closed-loop algorithms for deep-brain stimulation (DBS) and test the feasibility of closed-loop DBS for chronic pain in weekly blocks. Researchers will assess the efficacy of closed-loop DBS algorithms against traditional open-loop DBS or sham in a double-blinded cross-over trial and measure mechanisms of DBS tolerance.

This project will evaluate a previously developed harm reduction intervention that addresses the needs of women who use drugs in an urban environment. The approach uses a mobile van to offer naloxone, fentanyl test strips, and other harm reduction supplies – along with necessities such as food and clothing, brief trauma-informed counseling, and referrals to drug treatment, medical care, and social services. This research aims to test the impact of an intervention that may increase access to harm reduction services for women, as well as assess how to put it into place.

Acupuncture has been found to be effective in treating chronic lower back pain (cLBP) in adults. Yet trials have rarely included older adults, who have more comorbidities and may respond differently from typical trial participants. To fill this gap, the study team will conduct a three-arm trial of 828 adults ?65 years of age with cLBP to evaluate acupuncture versus usual care. They will compare a standard 12-week course of acupuncture with an enhanced course of acupuncture (12-week standard course, plus 12-week maintenance course) to usual medical care for cLBP. If successful, this pragmatic RCT will offer clear guidance about the value of acupuncture for improving functional status and reducing pain intensity and pain interference for older adults with cLBP.

Recent studies have reported that neuropathic pain involves changes in the central nervous system that are linked to necroptosis (programmed necrotic cell death) and release of cellular components that create neuroinflammation. Necroptosis is a type of necrotic cell death affected by the protein receptor-interacting serine/threonine-protein kinase 1 (RIPK1 or RIP1). Preliminary studies also indicate that pain increases levels of RIPK1 in key brain regions implicated in pain processing. This project aims to further validate RIPK1 as a target for neuropathic pain using a newly developed positron emission tomography imaging approach. The work will pave the way for new brain-penetrant RIPK1 inhibitors as a safe, effective, and nonaddictive treatment approach for neuropathic pain.