Funded Projects

This U54 Center will use translational research from brain to bedside as a tool for medication development in cocaine use disorder. Preclinical and early phase I clinical PK/PD data will provide information for go/no-go decisions on phase II–III clinical trials with medications that show promise for cocaine use disorder. The overall goal of this research is to create a center that can provide important preclinical and early phase I clinical data to NIDA and pharmaceutical industry partners on novel compounds for cocaine use disorder. The aims related to the theme of the center will be achieved through two cores and three projects: The Administrative Core serves as a general resource for the other projects and the Educational Core, including oversight of fiscal and compliance matters, and will oversee interactions with outside entities, including NIDA and the pharmaceutical industry. The Educational Core will focus on training translational researchers for medication development for addictions across the two institutions.

Multi-protein complexes have emerged as a mechanism for spatiotemporal specificity and efficiency in the function and regulation of cellular signals. Many ion channels are clustered either with the receptors that modulate them or with other ion channels whose activities are linked. Often, the clustering is mediated by scaffolding proteins, such as AKAP79/150. We will probe complexes containing AKAP79/150 and three different channels critical to nervous function: KCNQ/Kv7, TRPV1, and CaV1.2. We will use"super-resolution" STORM imaging of primary sensory neurons and heterologously expressed tissue-culture cells, in which individual complexes can be visualized at 10–20 nm resolution with visible light. We hypothesize that AKAP79/150 brings several of these channels together to enable functional coupling, which we will examine by patch-clamp electrophysiology of the neurons. Since all three of these channels bind to AKAP79/150, we hypothesize that they co-assemble into complexes in neurons and that they are dynamically regulated by other cellular signals.

This health care data mining study analyzes existing Veterans Health Administration data sets to examine patient and organizational characteristics associated with buprenorphine termination during outpatient OUD treatment. This project will generate data useful for predictive modeling on how to implement targeted approaches to improve retention in OUD treatment. An objective is to identify patient, provider and system targets to reduce unnecessary or inappropriate discontinuation of buprenorphine care. These analyses are critical for establishing initial constructs to evaluate reasons for treatment discontinuation based upon patient, provider and system factors in different health care settings.

Wound care procedures (WCPs), such as dressing changes, cause moderate to severe pain in 74% of patients, nearly half of whom experience severe pain. Mainstay recommendations to prevent pain during WCPs have focused on either administration of preventive and procedural analgesia or use of expensive, non-adherent dressings. However, it is unclear which patients to target for analgesia or expensive dressings, leading to their inappropriate over- or underuse. To achieve the aims of the study, a comprehensive set of wound, patient, and biological factors will be measured concurrently with pain during a dressing change among a sample of 450 inpatients with open wounds. A predictive model will be developed and biological mechanisms will be examined using logistic regression. The proposed study has the potential to make significant contributions because clinicians will be able to target those patients requiring preventive pain control, thereby eliminating the spiraling impact of painful procedures on nociceptor sensitization.

Neonatal abstinence syndrome (NAS) rates have increased since 2000. To determine multifactorial genetic, psychosocial predictors of opioid-related maternal and infant outcomes using rigorous prospective longitudinal design, innovative combinatorial pharmacogenetic approach, fetal MRI, and neonatal brain resting state functional MRI analysis, we hypothesize that a combination of maternal and infant genetic profiles, maternal psychosocial factors, maternal opioid treatment response, fetal and neonatal neurodevelopment, and NAS treatment will affect maternal and childhood outcomes with prenatal opioid exposure. The specific aims are to (1) Identify high-risk genetic profiles and psychosocial factors in pregnant women with opioid use disorder (OUD) and predisposing to poor maternal opioid maintenance treatment outcomes; (2) Determine maternal-infant genetic profiles and maternal opioid treatment factors predicting adverse fetal development, severity of NAS, and neonatal brain function; and (3) Develop predictive models for maternal opioid relapse and poor long-term neurodevelopmental outcomes in children with in utero opioid exposure.

Sickle cell disease (SCD) is an inherited hematologic disorder accompanied by severe pain, inflammation, and vascular injury. We propose that nociceptor activation by ongoing hypoxia/reperfusion (H/R) injury leads to the release of neuropeptides by sensory nerves in the skin, stimulating vascular insult and mast cell activation in SCD. In turn, mast cell tryptase activates protease-activated receptor 2 on sensory nerve endings, resulting in exaggerated neuroinflammation, vascular injury, and central sensitization. Our general hypothesis is that neurogenic inflammation contributes to pain in SCD and that cannabinoids provide analgesia by disrupting neurogenic inflammation and nociceptor sensitization. We also hypothesize that EEG and functional MRI can be used to optimize analgesic treatments in SCD. We propose to use transgenic sickle mice, and individual cells involved in evoking pain, to perform this translational study. A proof of principle study in humans will examine the effect of cannabis on pain in sickle patients.

The System of Safety (SOS) represents an opportunity to study the implementation of best practice suicide-related care processes that embody the Zero Suicide Essential Elements of Care across emergency departments, inpatient medical and behavioral health units, and primary care clinics associated with a large healthcare system. This effectiveness trial will use a stepped wedge design across a total of 39 clinical units. Aim 1 will measure suicide risk screening and screening's impact on risk identification. Aim 2 will measure the effective implementation of clinician-administered interventions, such as safety planning with means restriction counseling, on suicide, suicide attempts, and suicide-related acute healthcare. Exploratory aims will examine mechanisms of action, moderators, economics, and population effects of the intervention. This study's innovative approach positions it for a significant impact on the fields of suicide prevention, CQI, and effectiveness trial design and analysis.

This project proposes to develop novel Gpr151 antagonists to facilitate long-term abstinence in opioid-dependent individuals. Gpr151 is an orphan G-protein coupled receptor that is expressed almost exclusively in the medial habenula and co-localizes with ?-opioid receptors to regulate the inhibitory effects of opioids on habenular neurons. Mice with a null mutation in Gpr151 (Gpr151-/- mice) are resistant to the stimulant and rewarding effects of opioids and self-administer lower quantities of oxycodone. Based on this preliminary work, the study will seek to identify Gpr151 antagonists through a variety of methods and optimize them for potency, selectivity, drug metabolism, pharmacokinetics, and brain penetration properties. The study will evaluate effects of those with the most favorable drug-like physiochemical properties on electrophysiological responses of medial habenula to opioid drugs and assess the in vivo efficacy of these novel antagonists in wild-type and Gpr151-/- mice.

Using a meta-analytic approach, this study analyzes existing data sets of individuals with drug use disorders to determine the impact of drug-focused 12-step mutual help groups, free of selection bias, in reducing opioid consumption and opioid-related problems.These data will be used to predict how augmentation of 12-step mutual help groups, added to medications for opioid use disorder (MOUD), may be used to improve retention in OUD treatment.

Mortality rates in Appalachia have progressively increased over recent years, in contrast to decreasing mortality rates observed in the remainder of the U.S. The West Virginia Clinical and Translational Science Institute (WVCTSI) was created in 2012 through the initial Clinical and Translational Research (CTR) award and has subsequently formed a well-connected, statewide research network, creating the infrastructure to address the substantial health disparities that exist in West Virginia. WVCTSI is now well positioned to attain the goals of this renewal application that include: 1) building sustainable research infrastructure that substantively contributes to improving West Virginia health outcomes by 2022; 2) recruiting the next generation of clinician scientists and translational researchers that excel in team science and are positioned for long-term success; and 3) actively engaging with multiple stakeholders that include communities, medical providers, and policy makers to drive research that improves the health of West Virginians.

Rapid technological advances are leading to field-deployable mobile sensing devices that can quantify complex dynamics of key physical, biological, behavioral, social, and environmental factors, enabling us to understand causation in complex disorders. Significant new investment is needed to develop and disseminate data analytics tools. The Center of Excellence for Mobile Sensor Data-to-Knowledge (MD2K) will generate generalizable theory, methods, tools, and software to address major barriers to processing complex mobile sensor data and its use in biomedical knowledge discovery and just-in-time care delivery. We will develop and implement a standards-based, interoperable, extensible, and open-source big data software platform for efficient implementation of MD2K data analytics. MD2K will demonstrate the feasibility, utility, and generalizability of this approach by implementing the entire MD2K data analytics system in the context of two biomedical applications: reducing relapse among abstinent daily smokers and reducing readmission among congestive heart failure patients

This study addresses the public health problem of chronic pain as one of the most feared symptoms in people with cancer. Insufficient relief from pharmacological treatments and the fear of side effects are important reasons for the growing use of complementary pain management approaches in people with cancer. One such approach is music therapy. Although efficacy of music therapy for pain has been established, there are no mechanistic studies clarifying how it works in clinical populations. The overarching goals of this study are to 1) examine mediators and moderators hypothesized to account for the pain-reducing effects of interactive music therapy (IMT) in people with advanced cancer and chronic pain and 2) validate IMT’s theory of action. The results of this study will provide estimated effects sizes of IMT on the mediators and preliminary effect size estimates for the pain outcomes. This information will be instrumental in the development of a subsequent large-scale efficacy trial.