Funded Projects

Given the magnitude of the opioid death epidemic, we need multiple approaches to increase use of medication treatment for opioid use disorder (MOUD) for people from diverse geographical locations. Pharmacists as dispensers of and gatekeepers to opioid medications, including those used for OUD treatment, are natural partners of health care providers. Community pharmacists are widely available even in rural areas. This 2-year study will use a mixed-method design that includes qualitative and quantitative approaches to study pharmacists’ knowledge of, attitudes about, and intention to provide patient care and services for screening, brief intervention, and referral to treatment for substance use disorders and MOUD. Study aims are to conduct stakeholder interviews, develop a survey instrument to assess such barriers and facilitators, pilot test the survey instrument, and conduct the survey among licensed pharmacists.

Hospital inpatient stays due to opioid-related health problems are a reachable moment for increasing access to treatment with medications for opioid use disorder (MOUD). Hospitalized patients with opioid use disorder (OUD) are at particularly high risk for morbidity, mortality, and high medical costs in the U.S. This study will substantially inform the care management of OUD in hospitalized patients. The project includes a comparative effectiveness research trial and an implementation research trial, which will lead to models of broad dissemination for treatment approaches to this largely unaddressed population. They will examine whether (1) in hospitals with addiction medicine consultation services, hospital-initiated extended-release buprenorphine (XR-BUP), compared with other OUD medications, results in increased engagement in treatment with MOUD following hospital discharge and (2) training hospitals without such consultation services on best practices for initiating MOUD using consultation service hubs improves medication uptake in hospitals and increased MOUD treatment engagement following discharge.

 Investigating the broader efficacy of sEH inhibition and specifically our IND candidate, EC5026, has indicated that it is efficacious against chemotherapy induced peripheral neuropathy (CIPN). This painful neuropathy develops from chemotherapy treatment, is notoriously difficult to treat, and can lead to discontinuation of life-prolonging cancer treatments. Thus, new therapeutic approaches are urgently needed. The research team will investigate if EC5026 has potential drug-drug interaction with approved chemotherapeutics or alters immune cells function, and assess the effects of sEHI on the lipid metabolome and probe for changes in endoplasmic reticulum stress and axonal outgrowth in neurons. The team proposes to more fully characterize the analgesic potential of our compound and investigate on and off target actions in CIPN models and model systems relevant to cancer therapy.

The goal of this proposal is to conduct a randomized controlled trial to evaluate the comparative effectiveness of conservative behavioral and nonopioid pharmacological treatments (Phase I) and, among nonresponders, the benefits of nonsurgical procedural interventions (Phase II). Aim 1 will evaluate the effectiveness of individual and combined online cognitive behavioral therapy (painTRAINER) and pharmacologic treatment (duloxetine) in improving pain and function for knee osteoarthritis (KOA) patients compared with standard of care. Aim 2 will determine if genicular nerve radiofrequency ablation or intra-articular injection of hyaluronic acid and steroid is more effective in improving outcomes than local anesthetic nerve block or standard of care and help establish the role of these interventional treatments in the overall management of pain in KOA patients. Aim 3 will test whether clinical and psychosocial phenotypes predict short- and long-term treatment response.

Researchers will expand a recently initiated pregnancy cohort at Johns Hopkins University (JHU) called ORCHARD (ORigins of Child Health And Resilience in Development) to create a Baltimore HEALthy BCD site, named HEALthy ORCHARD. The research team will convene investigators at JHU and the Kennedy Krieger Institute (KKI), and community partners across nine work groups to: (1) develop protocols for recruitment and retention of pregnant mothers and children with enriched sampling of pregnant women who are using substances; (2) establish community, medical, and government partnerships necessary to implement recruitment, retention, data collection and community benefits; (3) characterize the critical ethical and legal challenges raised during study design, in pilot studies, and by prospective participants, and propose solutions where possible and additional research where necessary; (4) develop protocols for longitudinal data collection across pregnancy and childhood; and (5) contribute to multi-site protocol development and nationally relevant principles regarding ethical and legal issues.

Debilitating neuropathic pain occurs in 40 percent to 70 percent of people who suffer from spinal cord injury (SCI). There are no distinguishing characteristics to identify who will develop neuropathic pain. The objective of this research is to develop a biomarker signature prognostic of SCI-induced neuropathic pain (NP). The aims of the project are to (1) identify autoantibodies in plasma samples from acute SCI patients to CNS autoantigens and determine the relationship between autoantibodies levels to the development of NP, (2) identify the autoantibody combination with maximal prognostic accuracy for the development of NP at six months after SCI, and (3) develop and optimize an assay to simultaneously measure several autoantibodies and independently validate the prognostic efficacy for NP using plasma samples collected prospectively. Establishing a panel will refine the prognostic value of these autoantibodies as biomarkers to detect who are vulnerable to NP and may be used to for development of nonaddictive pain therapeutics.

Juvenile justice (JJ)-involved youth represent a particularly vulnerable population for substance use and substance use disorders (SUDs), because they often experience mental health disorders, dysfunctional family/social relationships, and complex trauma. This study will adapt and test an intervention for preventing initiation and/or escalation of opioid misuse among older JJ-involved youth aging out of JJ (16-18 years), who are transitioning to their communities after a period of detainment in a secure treatment or correctional facility. Trust-Based Relational Intervention® (TBRI®, a relational, attachment-based intervention that promotes emotional regulation through interaction with responsive adults) will be adapted as a prevention intervention targeting youth at risk for substance use, especially non-medical use of opioids. Safe adults (e.g., parent/guardian) will be trained in behavior management techniques for empowering youth to appropriately express their needs, connecting them with others in pro-social ways, and correcting or reshaping undesirable behavior.

While patient self-report of pain is the gold standard of pain measurement, this may not be feasible in critically ill patients who are sedated and intubated, unconscious, or unable to verbally communicate. Pupillary dilation (PD) is a reliable indicator of acute pain, and measurement of pupil size changes may be useful in determining the intensity of pain experienced as well as the efficacy of an analgesia. Research also demonstrates that pupillary unrest under ambient light (PUAL) is an objective marker of sensitivity to opioids, and facial expression analysis can help detect pain. Benten Technologies, Inc. aims to develop and validate IMPACT, a device that uses pupillometry with a proprietary algorithm to measure both PD and PUAL and conduct facial expression analysis using computer vision. The project team will then demonstrate the feasibility of IMPACT in helping clinicians objectively determine pain and assess opioid efficacy and compare results obtained to pain scores reported by patients.

Persistent pain states arising from inflammatory conditions, such as in arthritis, diabetes, HIV, and chemotherapy, exhibit a common feature in the release of damage-associated molecular pattern molecules, which can activate toll-like receptor-4 (TLR4). Previous studies suggest that TLR4 is critical in mediating the transition from acute to persistent pain. TLR4 as well as other inflammatory receptors localize to lipid raft microdomains on the plasma membrane. We have found that the secreted apoA-I binding protein (AIBP) accelerates cholesterol removal, disrupts lipid rafts, prevents TLR4 dimerization, and inhibits microglia inflammatory responses. We propose that AIBP targets cholesterol removal to lipid rafts harboring activated TLR4. The aims of this proposal are to: 1) determine whether AIBP targets lipid rafts harboring activated TLR4; 2) test whether AIBP reduces glial activation and neuroinflammation in mouse models of neuropathic pain; and 3) identify the origin and function of endogenous AIBP in the spinal cord.

Pain is one of the most common and debilitating symptoms of a wide range of injuries and diseases. Safe and effective alternatives for treating pain that reduce dependence on opioids are, therefore, a primary goal of the NIH. This project proposes a non-invasive, non-pharmacological alternative to treat pain by combining an innovative electroencephalography (EEG)-based Neurofeedback (NF) solution in an immersive virtual reality (VR) environment. NF and VR have been shown to independently produce ameliorative effects on pain, and it is hypothesized that an NF training in VR would have synergistic effects, as VR would distract from pain perception to improve patient compliance in more engaging NF protocols that improve their ability to control pain perception. In the scope of this project, we will initially focus our work on chronic low back pain (cLBP), as this is a growing segment of chronic pain sufferers with a 39 percent worldwide lifetime prevalence, and whose sufferers have historically been heavy users of opiates; later stages of this project will expand this application to address other forms of pain.

Chronic pain is a major health burden associated with immense economic and social costs. Predictive biomarkers that can identify individuals at risk of developing severe and persistent pain, which is associated with worse disability and greater reliance on opioids, would promote aggressive, early intervention that could halt the transition to chronic pain. The applicant’s team uncovered evidence of a unique cortical biomarker signature that predicts pain susceptibility (severity and duration). This biomarker signature could be capable of predicting the severity of pain experienced by an individual minutes to months in the future, as well as the duration of pain (time to recovery). Analytical validation of this biomarker will be conducted in healthy participants using a standardized model of the transition to sustained myofascial temporomandibular pain. Specifically the biomarker signature will be tested for its ability to predict an individual’s pain sensitivity, pain severity, and pain duration and will perform initial clinical validation.

The growing opioid use epidemic in the U.S. has been associated with a significant increase in the prevalence of pregnant opioid-dependent women and neonatal abstinence syndrome, which is associated with adverse health effects for the infant and with costly hospitalizations. Maintenance with sublingual (SL) buprenorphine (BUP) is efficacious for opioid use disorder but has disadvantages that may be heightened in pregnant women, including the potential for poor adherence, treatment dropout, and negative maternal/fetal effects associated with daily BUP peak-trough cycles. Extended release (XR) formulations may address some of these disadvantages. The primary objective of CTN-0080 is to evaluate the impact of treating opioid use disorder in pregnant women (n = 300) with BUP-XR, compared to BUP-SL, on maternal-infant outcomes. Other objectives include testing a conceptual model of the mechanisms by which BUP-XR may improve maternal-infant outcomes, relative to BUP-SL; determining the economic value of BUP-XR, compared with BUP-SL, to treat OUD in pregnant women; and evaluating the impact of BUP-XR, relative to BUP-SL, on neurodevelopment when the infant/child is approximately 12 and 24 months of age. Ultimately, this study will help in increasing access to treatment as well as provide quality care for pregnant/postpartum women.

 Non-Invasive Brain Stimulation (NIBS) has been successfully applied for the treatment of chronic pain (CP) in some disease states, where treatment induced changes in brain activity revert maladaptive plasticity associated with the perception/sensation of CP [25-28]. However, the most common NIBS methods, e.g., transcranial direct current stimulation, have shown limited, if any, efficacy in treating neuropathic pain. It has been postulated that limitations in conventional NIBS techniques’ focality, penetration, and targeting control limit their therapeutic efficacy . Electrosonic Stimulation (ESStim™) is an improved NIBS modality that overcomes the limitations of other technologies by combining independently controlled electromagnetic and ultrasonic fields to focus and boost stimulation currents via tuned electromechanical coupling in neural tissue . This proposal is focused on evaluating whether our noninvasive ESStim system can effectively treat CP in carpal tunnel syndrome (CTS), both as a lone treatment and in conjunction with physical therapy (PT). Investigators hypothesize ESStim can be provided synergistically with PT, as both can encourage plasticity-dependent changes which could maximally improve a CTS patient’s pain free mobility. In parallel with the CTS treatments, the team will build multivariate linear and generalized linear regression models to predict the CTS patient outcomes related to pain, physical function, and psychosocial assessments as a function of baseline disease characteristics. The computational work will be used to develop an optimized CTS ESStim dosing model.