Funded Projects

New medication treatment approaches are needed to help address the severe epidemic of opioid use disorder (OUD) and opioid overdose deaths in the U.S. Currently available medications, such as methadone, buprenorphine, and extended release injection naltrexone (XR-NTX; trade name: Vivitrol), are highly efficacious, but their effectiveness in practice is limited by poor adherence, with many patients stopping treatment prematurely and relapsing. The goal of this proposal is to develop an innovative long-acting subcutaneous implanted formulation of naltrexone, the O’Neil Long-Acting Naltrexone Implant (OLANI), toward FDA approval. Expected to produce naltrexone blood levels sufficient to block the effects of opioids for 6 months after implant, OLANI circumvents the need for adherence to monthly injections with XR-NTX and could represent an important new addition to the medical armamentarium for treatment of OUD.

Researchers will develop an innovative three-dimensional (3D) model of acute and chronic nociception using human induced pluripotent stem cell (hiPSC) sensory neurons and satellite glial cell surrogates. They will develop a tissue chip for modeling acute and chronic nociception based on 3D hiPSC-based dorsal root ganglion tissue mimics and a high-content, moderate-throughput microelectrode array. Researchers will demonstrate stable spontaneous and noxious stimulus-evoked behavior in response to thermal, chemical, and electrical stimulation challenges. They aim to demonstrate sensitivity to translational control via ligand receptor interactions between neuronal and non-neuronal cell types. They also will demonstrate the quantitative efficiency and preclinical efficacy of our system by detecting known ligand-based modulators of translational control and voltage-gated ion channel antagonists in a sensitized model of chronic nociception. Researchers will leverage the high-throughput nature of our tissue chip model to screen Food and Drug Administration–approved bioactive compounds.

The Medical University of South Carolina (MUSC) Specialized Clinical Center (Hub) of the Early Phase Pain Investigation Clinical Network (EPPIC-Net) will provide a robust and readily accessible infrastructure for rapid implementation and performance of high-quality comprehensive studies of novel treatments for patients with a wide variety of pain conditions. The MUSC-Hub will harness multidisciplinary clinical, research, statistical, and data management expertise to provide the scientific leadership and infrastructure required to design and conduct multisite Phase II clinical trials, biomarker validation studies, and deep phenotyping of patient populations as part of the EPPIC-Net with the overall goal of accelerating the development of new therapies for patients with acute and/or chronic pain.

The project will apply natural language processing to a rich repository of suicide and other clinical electronic health record and vital statistics to detect opioid problem-related encounters in order to (1) explore the relation between suicide risk and opioid misuse and (2) test whether a Zero Suicide model?s intervention effect is moderated by opioid misuse and whether it can also help to reduce opioid-related harm. First, the team will extract opioid-related EHR data using a combination of diagnostic codes and natural language processing, validated by structured manual chart review using a standardized procedure. Next, they will analyze the interplay between suicide risk and opioid problems in encounters and patients within the repository. Third, they will assess the effect of Zero Suicide implementation on prospective fatal and non-fatal suicidal behavior in patients with an opioid problem and examine whether the implementation had an effect on the incidence of opioid-related outcomes, including intentional overdose.

Chronic low back pain (cLBP) is recurrent and often nonresponsive to conservative treatments. Biomechanists, physical therapists, and surgeons each utilize a variety of tools and techniques to assess and interpret qualitative movement changes to understand potential mechanical and neurological sources of low back pain and as critical elements in their treatment paradigm. However, objectively characterizing and communicating this information is currently impossible, since clinically feasible (i.e., cost-effective, objective, and accurate) tools and quantitative benchmarks do not exist. This research addresses the challenge to improve cLBP outcomes through the use of unique, inexpensive, screen-printable, elastomer-based, nanocomposite, piezoresponsive sensors, which will be integrated into a SPInal Nanosensor Environment (SPINE) sense system to measure lumbar kinematics and provide an objective, quantitative platform for diagnosis, monitoring, and follow-up assessment of cLBP.

The opioid epidemic has increased the demand for a research workforce with the necessary expertise and skills to conceptualize and carry out studies to expand and improve treatment options for opioid use disorders (OUDs). In particular, as the NIDA-funded Clinical Trials Network (CTN) expands the number of nodes and takes on additional studies as part of the HEAL Initiative, the need for an increasing number of staff who are familiar with the CTN research environment is amplified, and opportunities to provide a platform for training new investigators interested in the OUD area are increased. The CTN Research workforce development and dissemination program will provide multi-modal training, including didactic, experiential, and mentoring, to prepare research staff (regulatory personnel, study coordinators, project managers), post-doctoral fellows and faculty from a variety of disciplines (MD, PhD, PharmD, Nurse Practitioners, etc.) to participate in HEAL Initiative studies being conducted within the CTN.

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.

This proposal would address barriers to the NP’s ability to prescribe buprenorphine by incorporating waiver education into NP final semester curriculum. The initial eight hours of training would be provided to students in a face-to-face classroom setting or via live video streaming. The remaining 16 hours would be completed by the NP students through online modules offered by the AANP. Trained NP students would be eligible for one year of peer-to-peer mentorship and inclusion in the MUSC Project ECHO tele-mentoring for new providers. Outcomes to be tracked would be the number of NPs trained who obtain their waiver and the number of individuals treated with MOUD by the NPs trained. Secondary data collected would offer insight into wavier obtainment process and determine need for mentorship for newly waivered providers.

Debilitating pain is the most common complication of sickle cell disease (SCD), but there is significant variability in pain expression in these patients. Currently, there is no plasma biomarker that can prognosticate which patients are likely to experience pain. The overall goal of this proposed research is to develop a biomarker that prognosticates the clinical expression of pain in SCD. Project aims are to (1) derive the inflammatory index for pain by identifying inflammatory and immune regulatory gene probe sets that will distinguish healthy controls, patients with SCD in baseline health, and patients with SCD in acute pain and (2) determine whether co-expressed genes from patients with SCD correlate with clinical pain data. Subsequent aims are to (1) determine the clinically meaningful changes of the index in patients with SCD and (2) investigate the preliminary clinical validity of the index as a prognostic biomarker for pain in patients with SCD.

Opioid use disorder (OUD) is a significant public health problem in the United States. Particularly troubling is the rapid evolution of an opioid epidemic within the past decade, characterized by a surge in unintentional overdose deaths involving synthetic opioids, such as fentanyl. The current standard of care for opioid overdose is reversal with opioid antagonist naloxone. Naloxone is effective at reversing overdose from prescription opioids and heroin, but less effective when combating fentanyl, due to fentanyl?s high potency. Therapeutic monoclonal antibodies (mAbs) against fentanyl could overcome this problem by specifically preventing the drug from entering the central nervous system, averting overdose and attenuating opioid-induced respiratory depression. This study will develop and design of laboratory protocols needed to establish a Good Manufacturing Practice (GMP) process, quality assurance protocol, and stability profile for a new human mAb against fentanyl. Subsequent production of current GMP material will enable Good Laboratory Practice (GLP) toxicology studies in rats and dogs and eventually a Phase I/IIa clinical trial. This material will also be used in final opioid-induced respiratory depression studies in mice and non-human primates to confirm therapeutic efficacy of final drug product. If successful, these activities will enable filing for an investigational new drug application for this mAb candidate with the FDA.

This research will expand the understanding of the effects of non-invasive vagal nerve stimulation on patients with opioid use disorder by examining the relationship between nerve stimulation and treatment, respiratory physiology, withdrawal symptoms, and relapse. Additionally, these relationships will be added to existing algorithms and equipment being developed by the Inan Research Lab at the Georgia Institute of Technology. Collecting and determining the quality of conventional respiration signals, as well as collecting high-resolution impedance based respiratory measurements, will help to determine the impact of non-invasive vagal nerve stimulation on breathing and lung function in people with opioid use disorder, toward development of a profile of physiological effects of non-invasive vagal nerve stimulation during opioid withdrawal.