Funded Projects

The research team developed an in vitro multi-component joint on a chip (microJoint), in which engineered osteochondral complexes, synovium, and adipose tissues were integrated. This study will introduce sensory innervation into the microJoint and a neuron-containing microfluidic ally will be developed to innervate the microJoint. The osteoarthritis (OA) model will be created in the Neu-microJoint system. The research team will assess activation and/or sensitization of nociceptive afferents with electrophysiology, as well as neurite outgrowth. They will mechanically insult the Neu-microJoint and assess the emergence of “pain” in response to prolonged mechanical stress. Researchers will assess the impact of drugs used clinically for management of OA on OA models and will then use “omic” approaches to identify new biomarkers and therapeutic targets. Researchers will assess the impact of opioids—which they hypothesize will increase the rate of joint degeneration and potentiate the release of pain-producing mediators—on neural activity in the presence and absence of joint injury, as well as the integrity of all joint elements.

This project will build overdose models for fentanyl, methadone, codeine, and morphine in a multi-organ system and evaluate the acute and repeat dose, or chronic effects, of overdose treatments as well as off-target toxicity. Researchers developed a system using human cells in a pumpless multi-organ platform that allows continuous recirculation of a blood surrogate for up to 28 days. They will develop two overdose models for male and female phenotypes based on pre-B?tzinger Complex neurons and will integrate functional immune components that enable organ-specific or systemic monocyte actuation. Models for cardiomyopathy and infection will be utilized. Researchers will establish a pharmacokinetic/pharmacodynamic model of overdose and treatment to enable prediction for a range of variables. We will use a serum-free medium with microelectrode arrays and cantilever systems integrated on chip that allow noninvasive electronic and mechanical readouts of organ function.

This project will develop a human cell-based model of the afferent pain pathway in the dorsal horn of the spinal cord. The research team’s approach utilizes novel human pluripotent stem cell (hPSC)-derived phenotypes in a model that combines 3D organoid culture with microfabricated systems on an integrated, three-dimensional (3D) microelectrode array. Researchers will establish the feasibility of a physiologically relevant, human 3D model of the afferent pain pathway that will be useful for evaluation of candidate analgesic drugs. They will then improve the physiological relevance of the system by promoting neural network maturation before demonstrating the system’s utility in modeling adverse effects of opioids and screening compounds to validate the model. Completion of the study objective will establish novel protocols for deriving dorsal horn neurons from hPSCs and create the first human microphysiological model of the spinal cord dorsal horn afferent sensory pathway.

The opioid epidemic in the United States is associated with alarming rates of overdose and overdose deaths. Medication Assisted Treatment (MAT), in combination with psychosocial intervention, is the most effective treatment for OUD; however, many individuals are unable to access treatment, are not sufficiently retained in treatment, or experience barriers that prohibit their participation in treatment. A multipronged approach is needed that includes 1) development of integrated networks of care, both formal and informal, to better address the needs of individuals with OUDs and 2) measures of the efficacy of these integrated networks for addressing the needs of individuals with OUD. This project will build a learning collaborative to address gaps in knowledge about the delivery, sustainability, and assessment of recovery service for individuals on MAT. The collaborative will foster collaboration and communication between stakeholders and with the larger community of research and providers interested in improving the delivery of OUD recovery support services. This community-academic partnership will address the lack of evidence regarding effective recovery support services.