Funded Projects

Although effective, current pharmacotherapies for opioid use disorder (OUD) present serious limitations. For example, methadone, a mu opioid receptor (MOP) full agonist, has significant abuse liability and causes withdrawal after chronic use, while buprenorphine (Bup), an MOP partial agonist and kappa opioid receptor (KOP) antagonist, produces limited respiratory depression and is less effective than methadone in reducing drug use, craving, and relapse. To address the limitation of currently available MATs, this project uses a phased plan that will fast-track the IND development of a next-generation medication for OUD based on small-molecule compounds targeting the nociception opioid receptor (NOP)—with no misuse or dependence liability—that have shown promising efficacy in reducing oxycodone intake in rhesus monkeys trained to self-administer, with efficacies similar to that of buprenorphine. The project’s ultimate goal is to file an IND application for an NOP agonist as a promising new approach to treat illicit and prescription OUD that may offer an alternative to buprenorphine.

Despite increased efforts to understand the neurodevelopmental sequelae of in utero opioid and other substance exposure on long-term behavioral, cognitive, and societal outcomes, important questions remain, specifically, 1) How is brain growth disrupted by fetal substance and related pre- and post-natal exposures? and 2) How are these disrupted growth patterns causally related to later cognitive and behavioral outcomes? This project seeks to formulate an approach to addressing these key questions and decipher the individual and cumulative effect of these intertwined pre- and post-natal exposures on child neurodevelopment. First, researchers will address the legal, ethical, and mother-child care and support concerns implicit in this study. Next, they will integrate across our areas of neuroimaging expertise to develop, implement, and harmonize a multi-modal MRI and EEG protocol to assess maturing brain structure, function, and connectivity. Finally, researchers will develop and test advanced statistical approaches to model and analyze this multidimensional and longitudinal data.

The ability to de-risk lead compounds during pre-clinical development with advanced “organoid-on-a-chip” technologies shows promise. Development of microphysiological models of the peripheral nervous system is lagging. The technology described herein allows for 3D growth of high-density axonal fiber tracts, resembling peripheral nerve anatomy. The use of structural and functional analyses should mean drug-induced neural toxicity will manifest in these measurements in ways that mimic clinical neuropathology. The goals of this proposal are to establish our human model using relevant physiological measurements in tissues fabricated from human iPS cells and to validate the model system with a library of compounds, comparing against conventional cell culture models. Validating the peripheral nerve model system with drugs known to induce toxicity via a range of mechanisms will demonstrate the ability of the system to predict various classifications of neuropathy, yielding a high-content assay far more informative than traditional in vitro systems.