Funded Projects

Infants exposed to opioids in the womb may suffer from neonatal opioid withdrawal syndrome (NOWS). They experience symptoms such as excessive crying, irritability, rapid breathing, elevated heart rates, tremors, and sometimes seizures. There is no accepted standard treatment for NOWS; infants are treated with pharmacological (opioid administration and gradual weaning) and nonpharmacological measures. Nonpharmacological care such as swaddling, rocking, frequent feedings, and skin contact, are time consuming, placing a substantial burden on hospitals with limited resources. Prapela, Inc. previously developed a hospital bassinette pad that, using stochastic vibrotactile stimulation (SVS) technology, very gently rocks infants with NOWS to reduce irritability and other symptoms without disturbing sleep patterns. This project will conduct an additional clinical study to determine the SVS bassinette pad’s efficacy in reducing breathing and heart rate, its safety, and its acceptability with clinical staff and parents caring for infants with NOWS.

The HEAL Initiative is establishing a HEAL Data Ecosystem to help investigators manage and share HEAL-generated data. A key principle underlying the HEAL Data Ecosystem strategy is to make those data findable, accessible, interoperable, and reusable (FAIR). Renascence Computing Institute at the University of North Carolina Chapel Hill (RENCI) and RTI, International (RTI) [RENCI/RTI] are serving as the HEAL Data Stewardship Group to guide HEAL investigators as they prepare their data to connect to the HEAL Platform, a secure data access and computing environment that will leverage metadata query to provide access to data and digital assets stored in various disparate repositories. The HEAL Data Stewardship Group is engaging HEAL investigators to understand and enhance data management needs, provide tools, training, and best practices for making data FAIR, and understand and support valuable uses and reuses of HEAL data sharing via the Platform The HEAL Data Stewardship Group will collaborate closely with the HEAL Platform team at the University of Chicago to meet the needs and goals of the HEAL Data Ecosystem.

Mindfulness has been shown to be effective in treating chronic low back pain, but it has not been embedded into routine clinical care. The OPTIMUM study (Optimizing Pain Treatment In Medical settings Using Mindfulness) will address barriers to delivering mindfulness in primary care and determine the effectiveness in this setting. This project extends the stakeholder engagement efforts of the OPTIMUM study by increasing the size and responsibilities of the Community Advisory Board, adding focus groups for participants in both study arms, and collecting stories from study nonparticipants about their experience seeking care for chronic low back pain and their views on participating in research. This expanded effort will optimize recruitment of a diverse and underrepresented sample, maximize retention, and prepare for future implementation and dissemination.

There is a clear public health imperative to improve the care and outcomes of people who experience severe acute and chronic pain. The Early Phase Pain Investigation Clinical Network (EPPIC-Net) is charged with conducting deep phenotyping and biomarker studies for specific pain conditions – and with conducting high-quality phase II clinical trials to test novel non-opioid pain treatments with academic and industry partners. This research will extend EPPIC-Net’s current portfolio to develop novel and efficient data-analytic methodologies for complex medical data, such as those that are expected to be generated by the clinical trials conducted by EPPIC-Net.

The University of California, San Francisco, as part of the Back Pain Consortium (BACPAC) Research Program, has established a Core Center for Patient-centric Mechanistic Phenotyping in Chronic Low Back Pain (REACH). The main goal of REACH is to define different subtypes (phenotypes) of chronic low back pain as well as to identify underlying pain mechanisms that can lead to effective, personalized treatments for patients across all population subgroups. To achieve this goal, REACH is, or will be, participating in several clinical trials, and it is imperative that the patients participating in these trials reflect the diversity of the U.S. population. Therefore, this project seeks to adapt methods that have successfully improved minority participation in other settings as well as to develop and deploy digital strategies that can promote recruitment and engagement of patients from marginalized populations.

This award funds EPPIC-NET’s first phase 2 clinical trial, testing the novel oral drug CNTX-6970 in patients with moderate to severe knee osteoarthritis pain. It will include 150 participants at EPPIC-Net sites across the United States. Preclinical studies of CNTX-6970, which binds effectively and dose-proportionally to C-C chemokine type 2 (CCR2) receptors, have demonstrated potent analgesia in multiple pain models, with no emergent safety issues. CNTX-6970 has effects both at an affected joint, as well as on neural signaling. Participants will be randomized to receive CNTX-6970, placebo, or a third pain medication and will be followed for 24 weeks.

Chronic low back pain affects millions of Americans and is difficult to treat. Currently, there are no reliable methods to determine the best treatment options for patients, or to objectively evaluate the effectiveness of various interventions. This research will develop an imaging technology that uses machine learning to make automated assessments of spine characteristics, pain response, and patient-reported outcomes in people with chronic low back pain. This award will be used to recruit and support two postdoctoral fellows from populations underrepresented in biomedicine. The research will focus on whether use of the imaging tool helps clarify clinical diagnoses, as measured by the level of agreement between radiologists before and after using the tool.

Opioids are widely used pain treatments, despite their relative ineffectiveness for chronic pain and their high potential for misuse and addiction. There is thus an urgent need for alternative, non-addictive pain treatments. Genetic and functional studies of human pain disorders and animal models of pain have validated Nav1.7, a voltage-gated sodium channel as an attractive target for new pain treatments. Currently available blockers of these channels can sometimes provide symptomatic relief for patients but have worrisome side effects affecting the brain and heart. This study aims to develop and validate an innovative site-directed RNA editing strategy that will offer the ability to create new versions of molecules to block Nav1.7, toward establishing a novel, non-addictive approach to treat chronic pain.

There is an urgent need for non-opioid post-operative pain management solutions.  This research is developing a naturally absorbable polymer film that can release controlled amounts of the non-opioid analgesic bupivacaine – aiming to manage pain for several days following surgery. Project objectives are to optimize the timing of drug release, develop manufacturing standards, determine effective dosage for preserving motor function, and determine safety and efficacy in mouse models of neuropathic pain. Continued development of this film delivery system may lead to a new, non-opioid therapeutic strategy that could be combined with local anesthesia for up to 4 days after surgery to reduce or potentially eliminate opioids use.

There is a clear public health imperative to improve the care and outcomes of people who experience severe acute and chronic pain. The Early Phase Pain Investigation Clinical Network (EPPIC-Net) is charged with conducting deep phenotyping and biomarker studies for specific pain conditions – and with conducting high-quality phase II clinical trials to test novel non-opioid pain treatments with academic and industry partners. This research will extend EPPIC-Net’s current portfolio to develop novel and efficient data-analytic methodologies for complex medical data, such as those that are expected to be generated by the clinical trials conducted by EPPIC-Net.

Current medications for chronic pain are largely ineffective and rely heavily on opioids, one contributor to the nation’s opioid crisis. The endocannabinoid system that consists of cannabinoid receptors (CB1R and CB2R) and their endogenous ligands is a natural pathway in the human body and has emerged as an alternative target for developing new pain medications with few side effects. Current molecules that bind to CB1R in the brain and spinal cord have psychoactive side effects, limiting their therapeutic use for treating chronic pain. This study aims to develop new molecules to bind to CB1R tightly and selectively, are metabolically stable, and are also unable to enter the brain.

As prescription opioid drug abuse and overdose-related deaths continue to skyrocket in the United States, the need for new and more effective non-addictive pain drugs to treat chronic pain remains critical. This research is conducting studies in animal models of a small molecule that has high potential to treat chronic pain conditions associated with neuropathy and/or inflammation. The goal of this project is to conduct dosing and other studies leading up to an animal model study of the potential drug in a toxicology study for 28 days. Results may lead to Investigative New Drug regulatory clearance to begin clinical studies to validate the potential drug’s efficacy and safety.

The emergency department is an ideal venue to reach and intervene with adolescents and young adults at risk for opioid misuse, particularly as young adults may disconnect from primary care when transitioning out of care in pediatric settings. This study will evaluate the efficacy of interventions of varying type and intensity to prevent or reduce opioid misuse or opioid use disorder. The research leverages technology that is appealing to youth to facilitate intervention delivery by health coaches. In this study, adolescents and young adults in the emergency department screening positive for opioid use or misuse will be randomly assigned to one of four intervention conditions with outcomes measured at 4, 8, and 12 months. Technology-driven, scalable interventions delivered via health coaches allow for real-time tailoring to the rapidly changing opioid epidemic, with the potential to prevent an increase in opioid misuse among adolescents and young adults.  Black/African American youth are at increased risk for opioid and other substance use, but they often do not participate in research studies. As a result, it is not known how well prevention interventions work with Black/African American people. This supplement will focus on increasing participant diversity and inclusion by recruiting additional Black/African American participants for this ongoing randomized controlled study of technology-driven prevention interventions.