Funded Projects

Epidural/spinal administration of analgesics such as opioids, ziconotide and local anesthetics have profound efficacy in some of the most intractable pain conditions such as severe neuropathic pain after failed back surgery, cancer pain and post-operative pain after major abdominal/thoracic surgeries. Contulakin G (CGX) is a snail venom derived peptide that has homology with mammalian neurotensin and was shown to be safe in humans in preliminary studies. A small pilot study demonstrated CGX?s analgesic effect in some patients with spinal cord injury-associated pain. Preliminary findings from mechanistic studies in rodents identified neurotensin receptor 2 (NTSR2) as the mediator for analgesic effects of CGX. This project aims to validate spinal NTSR2 as an analgesic target utilizing three species (rat, mice and human), and two pain models (neuropathic pain and post-surgical pain). The project will utilize pharmacological and gene editing tools such as CRISPR-Cas9 and will include assessment of both sensory and affective measures of pain. A two-site parallel confirmation study is designed based on multisite clinical trials to further authenticate spinal NTSR2 as an analgesic target. Successful completion of this project could lead to the development of a non-opioid spinal analgesic that has high translational potential.

High rates of relapse and overdose deaths pose significant challenges to the treatment of Opioid Use Disorder (OUD). Anti-opioid immunotherapies (i.e., vaccines and monoclonal antibodies) have great potential to reduce long-term opioid use and overdose, with minimal risk of side effects, when used in conjunction with pharmacological treatments and/or behavioral therapies. The ability of an anti-opioid vaccine to induce antibodies that render an opioid less effective, or less rewarding, and protect from accidental overdose could provide an important therapeutic option for patients undergoing treatment for OUD. The goal of this collaborative study is to design, develop, and evaluate vaccines for use in the treatment of opioid use disorder

Using neural tissues from pain patients, this project will investigate mechanisms of neuronal and/or immune dysfunction driving chronic pain. The researchers will use spatial transcriptomics on human dorsal root ganglion (DRG) and spinal cord tissues to examine the cellular expression profile for these targets using the 10X Genomics Visium technology. The use of tissues from control surgical patients and organ donors as well as surgical patients with neuropathic pain will enable validation of expression of these targets in human tissue as well as indication of their potential involvement in neuropathic pain. This collaborative effort will use DRGs removed from pain-phenotyped patients during neurological surgery, as well as lumbar DRGs and spinal cord from organ donors. This study will map the spatial transcriptomes at approximately single cell resolution in the human DRG and spinal cord.

Exacerbation of health disparities has emerged during the COVID 19 pandemic and highlighted the recognition that minority underrepresentation in clinical research may contribute to racial disparities in health outcomes. In clinical trials related to pain, disparities in trial patient inclusion are documented by white patients often being overrepresented. Mitigating these disparities is an area in which an early-career pain investigator training and contributions may have lasting benefits. The pandemic also drove rapid expansion of telehealth for pain management without knowledge of how social and demographic factors affect utilization patterns of this care delivery model. This supplement supports research to examine the extent to which disparities exist in access to and outcomes of telehealth in socially marginalized pain patients. Findings will be applied to enrich the diversity in clinical trial populations for phase 2 safety trials performed in the HEAL EPPIC Network.

The project will address gaps in both risk identification and clinical management by utilizing comprehensive clinical data from a mature health information exchange containing more than 2.3 million patients across the spectrum of clinical care (hospitals, primary care, specialty care, community health centers, urgent care) to develop a statistically robust method to measure suicide risk associated with prescription opioid use. First, the team will couple data fusion techniques with machine learning-based approaches in identifying the clinical and demographic characteristics associated with elevated risk of suicidal behavior among prescription opioid users. Second, the team will develop clinical profiles of patients with higher risk of suicidal behavior associated with prescription opioids, and to incorporate these profiles in a clinical decision support platform that can be used for identification and intervention at the point of care. The clinical decision support tool developed under this proposal will provide a generalizable platform that could be extended to other more conventional opioid related outcomes such as OUD and overdose.

The objective of the Early Phase Pain Investigation Clinical Network (EPPIC-Net) and EPPIC- Net initiatives is to rapidly and efficiently translate advances in the neurobiology of pain into treatments for people with chronic and acute pain, conditions associated with a significant burden to both patients and society. The Clinical Coordinating Center (CCC) for EPPIC-Net will promote and facilitate, from initial conception through final analysis, clinical trials in adult and pediatric populations with acute or chronic pain by providing efficient methodological, organizational, and logistical support. The EPPIC-Net-CCC will adopt and establish processes aimed at dramatically increasing the efficiency of multicenter clinical trials, improving the overall quality of clinical trials, promoting patient recruitment and retention as well as increasing the number of clinical investigators and research staff well trained and passionate about leading and conducting multicenter clinical trials.

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.

The increased risk of maternal, obstetric, and newborn morbidity and mortality associated with perinatal prescription opioid (PO) misuse and opioid use disorder (OUD) is well established. Despite clear advances in maternal, fetal, and newborn health with treatment of perinatal opioid misuse and OUD, much work remains. Preliminary data has demonstrated significant reductions in opioid misuse as a result of our Cognitive Behavioral Therapy (CBT) program for pain combined with shared decision making for medication management for pregnant women misusing POs or with OUD (including heroin). However, access to the program is still limited and several obstacles to its expansion remain. This proposal will fill this critical gap by converting their CBT intervention from in-person sessions to a web-based interface. The proposed research will result in a critical advance in the management of opioid use and abuse during pregnancy and prevent both the acute and long-term risks associated with pre- and perinatal PO misuse and OUD, including overdose and death.

Opioid use disorder (OUD) can be lethal, with opioid overdose causing more than 115 deaths in the U.S. each day. Although medications are effective at reducing illicit opioid use and overdose deaths, it is well-established that withdrawal and craving are highest in the initial weeks, making this a high-risk period for treatment dropout, relapse, and overdose. Adjunct therapies that can reduce early opioid withdrawal and craving may improve retention in treatment with buprenorphine-naloxone, and recent research has shown that stimulation of a peripheral nerve significantly modulates withdrawal- and craving-related responses for opioids and other drugs. This project will test the effectiveness of the EMPOWER Neuromodulation System, a portable, non-invasive transcutaneous electrical nerve stimulation (TENS) device developed by TheraNova for the treatment of OUD.

Evidence suggests that homeless youth have the highest rates of opioid use among youth subgroups in the country (Brands et al., 2005). Resolution of youth homelessness through housing and prevention services, often referred to as “Housing First”, has great potential to reduce the likelihood for the development of an opioid use disorder as well as other problem behaviors associated with living on the streets. However, only 20 percent to 30 percent of homeless youth samples report ever having stayed at a crisis shelter, 9 percent report having ever accessed mental health services, and 15 percent report ever having received treatment for substance use disorder (Ray, 2006), indicating a need to reach and engage youth in services that are feasible and acceptable. The results of this study will provide essential information for researchers and providers on the efficacy of housing plus opioid and related risk prevention services in a randomized controlled trial on opioid use, how moderators affect the response, and mechanisms underlying change.

There are alarming rates of substance abuse and diversion in hospitals, with multiple studies finding that roughly 10% of our nation’s nurses, anesthesiologists, and pharmacists are currently diverting drugs in their workplaces. Diversion continues even though most hospitals already lock addictive drugs in Automated Dispensing Machines (ADMs) and run monthly “anomalous usage” computer reports to try to detect diversion. This SBIR project will research mechanisms to detect when health care workers (HCWs) in hospitals steal or “divert” legal drugs, either to abuse themselves or to illegally sell to others, by building a computer system with (a) automated data feeds from multiple existing hospital computer systems and (b) advanced analytics to flag potential diversion for investigation. This research has the potential to reduce injuries to HCWs who are becoming addicted, destroying their careers, jeopardizing their patients’ safety, and increasingly dying from drug diversion overdoses.