Funded Projects

Chemotherapy-induced painful peripheral neuropathy (CIPN) is the most common toxicity associated with widely used chemotherapeutics. CIPN accounts for significant dose reductions and/or discontinuation of these life-saving treatments. Unfortunately CIPN can also persist in cancer-survivors, adversely affecting their quality of life. CIPN is not well-managed with existing pain therapeutics. Recent preliminary findings suggest that the transcription factor hypoxia-inducible factor alpha (HIF1A) is the target for the chemotherapeutic bortezomib, a proteasome inhibitor. This project will test the hypothesis that bortezomib chemotherapy-induced expression of HIF1A, PDHK1 and LDHA constitute an altered metabolic state known as aerobic glycolysis (AG) that leads to the initiation and maintenance of peripheral neuropathy and pain using a novel tumor-bearing animal model of CIPN. This project aims to validate HIF1A as a therapeutic target for the prevention of CIPN, as well as validate PDHK1 and LDHA as non-opioid therapeutic targets for chronic or established CIPN in animal models.

Pain is one of the most common symptoms in cancer patients and one least likely to be adequately treated. It is particularly common in advanced cancer, affecting an estimated 64% of patients with advanced disease. Pain treatment guidelines state patients should have access to behavioral pain interventions that educate them about pain and teach them skills for managing it. The parent grant will evaluate the effectiveness of an evidence based pain management intervention called ?Pain Coping Skills Training? in a web based format for patients with advanced cancer. This supplement will provide support for a training opportunity that aligns with the goals of the parent grant and includes community outreach and engaging underserved populations in clinical research.

The cannabis plant contains many active compounds known collectively as cannabinoids that have been shown to possess analgesic and anti-inflammatory properties. These compounds exert their biological activity, in part, through the cannabinoid receptor. The cannabinoid receptor is a member of a class of proteins known as G-protein coupled receptors (GPCRs). This study will test whether a GPCR with unknown biological function, called Gpr149, has a role in the activity of cannabinoids. The study will identify and characterize Gpr149 expression in mouse cells, and deeply characterize the action of minor cannabinoids, endocannabinoids and products of inflammation to modulate Gpr149. This research will provide insight into the analgesic and anti-inflammatory action of minor cannabinoids and into the role of Gpr149 in nociception and the sensitization of nociceptors to inflammatory mediators.

Functional selectivity is a term used to describe the ability of drugs to differentially regulate the activity of multiple signaling cascades coupled to the receptor. The underlying mechanism for functional selectivity is based upon the formation of ligand-specific receptor conformations that are dependent upon ligand structure. Functional selectivity has the potential to revitalize the drug discovery/development process. Ligands with high efficacy for specific signaling pathways (or specific patterns of signaling) that mediate beneficial effects, and with minimal activity at pathways that lead to adverse effects, are expected to have improved therapeutic efficacy. We propose to demonstrate that ligand efficacy for specific signaling pathways associated with antinociception can be finely tuned by structural modifications to a ligand. We propose to use U50,488 and Salvinorin-A (Sal-A) as scaffolds to develop functionally selective analogs that maintain high efficacy for signaling pathways that lead to antinociception and minimize activity toward anti-antinociceptive signaling pathways.

Researchers will develop a novel transcranial focused ultrasound (tFUS) device for pain treatment and establish its effectiveness for treating sickle cell disease (SCD) pain in humanized mice. The tFUS will target the specific cortical regions involved in SCD pain using a novel non-invasive electrophysiological source imaging technique. The project’s goals have several aims. Aim 1: Develop tFUS devices for pain treatment. The mouse-scale system will be designed to validate the therapeutic effect of stimulating the anticipated cortical targets. This will inform development of the simpler human-scale system, which will use models of the skull to select cost-effective transducers to reach the targets. Aim 2: Evaluate tFUS effectiveness and optimize stimulation parameters in an SCD mice model. Researchers will determine effective tFUS parameters to chronically reduce SCD pain in mice and validate this using behavioral measures. Aim 3: Use electrophysiological source imaging to target and trigger closed-loop tFUS in animal models. This aim also includes performing safety studies to prepare for human trials. The project will develop a transformative, noninvasive tFUS device to effectively and safely treat pain in SCD. 

The development of non-addictive pain therapeutics can help counter opioid addiction and benefit patients, including those who suffer from neuropathic pain, in particular diabetic neuropathic pain (DNP). This project’s goal is to develop a safe, efficacious, and non-addictive small-molecule drug that activates Kv7 voltage-gated potassium channels to address overactive neuronal activity in DNP. Researchers will discover Kv7 activators that favor Kv7 isoforms altered in DNP and found in dorsal root ganglia, decrease off-target side effects observed with the use of earlier non-biased Kv7 activators, and optimize the absorption, distribution, metabolism, excretion, and toxicity profiles of these activators. This screening paradigm is intended to establish a clinic-ready, well-tolerated, and widely effective product to treat neuropathic pain.

The University of Michigan (UM) will lead a Mechanistic Research Center (MRC) as part of the broader BACPAC initiative that will take patients with chronic low back pain (cLBP) and use a patient-centric, SMART design study to follow these individuals longitudinally as they try several different evidence-based therapies while mechanistic studies are overlaid to draw crucial inferences about what treatments will work in what patient endotypes. Interventional Response Phenotyping describes the need in any precision medicine initiative to phenotype participants based on what therapies they do and do not respond to so that one can later link mechanistically distinct disease endophenotypes with those who preferentially respond to therapies targeting those mechanisms.

Debilitating neuropathic pain occurs in 40 percent to 70 percent of people who suffer from spinal cord injury (SCI). There are no distinguishing characteristics to identify who will develop neuropathic pain. The objective of this research is to develop a biomarker signature prognostic of SCI-induced neuropathic pain (NP). The aims of the project are to (1) identify autoantibodies in plasma samples from acute SCI patients to CNS autoantigens and determine the relationship between autoantibodies levels to the development of NP, (2) identify the autoantibody combination with maximal prognostic accuracy for the development of NP at six months after SCI, and (3) develop and optimize an assay to simultaneously measure several autoantibodies and independently validate the prognostic efficacy for NP using plasma samples collected prospectively. Establishing a panel will refine the prognostic value of these autoantibodies as biomarkers to detect who are vulnerable to NP and may be used to for development of nonaddictive pain therapeutics.

For patients with end-stage renal disease treated with long-term hemodialysis (HD), the safety and efficacy of behavioral interventions alone or augmented by safer drugs remain untested. This study will perform a multicenter parallel group randomized controlled trial to test the efficacy of two interventions to reduce opioid use in HD patients. Seven hundred and twenty HD patients with significant and ongoing opioid use will be randomly assigned to (1) telehealth cognitive behavioral therapy (CBT) alone, (2) telehealth CBT augmented by transdermal buprenorphine, and (3) usual care, with follow-up for up to one year. The primary outcome will be prescribed morphine milligram equivalent (MME) over the preceding four weeks. Three patient-reported outcomes (interference by pain, functional status, and quality of life) will comprise the secondary outcomes.

Up to 5 percent of adolescents suffer from high-impact chronic musculoskeletal (MSK) pain, and only about 50 percent with chronic MSK pain who present for treatment recover. Current treatments for chronic MSK pain are suboptimal and have been tied to the opioid crisis. Discovery of robust markers of the recovery versus persistence of pain and disability is essential to develop more resourceful and patient-specific treatment strategies, requiring measurements across multiple dimensions in the same patient cohort in combination with a suitable computational analysis pipeline. Preliminary data has implicated novel candidates for neuroimaging, immune, quantitative sensory, and psychological markers for discovery. In addition, a standardized specimen collection, processing, storage, and distribution system is in place, along with expertise in machine learning approaches to extract reliable and prognostic bio-signatures from a large and complex data set. This project will facilitate risk stratification and a resourceful selection of patients who are likely to respond to current multidisciplinary pain treatment approaches.

Debilitating pain is the most common complication of sickle cell disease (SCD), but there is significant variability in pain expression in these patients. Currently, there is no plasma biomarker that can prognosticate which patients are likely to experience pain. The overall goal of this proposed research is to develop a biomarker that prognosticates the clinical expression of pain in SCD. Project aims are to (1) derive the inflammatory index for pain by identifying inflammatory and immune regulatory gene probe sets that will distinguish healthy controls, patients with SCD in baseline health, and patients with SCD in acute pain and (2) determine whether co-expressed genes from patients with SCD correlate with clinical pain data. Subsequent aims are to (1) determine the clinically meaningful changes of the index in patients with SCD and (2) investigate the preliminary clinical validity of the index as a prognostic biomarker for pain in patients with SCD.

This project will examine the association between end plate pathology and chronic low back pain (cLBP) and improve patient selection by developing and translating new imaging tools, technologies, and/or methods (iTTM) that provide accurate, noninvasive measures of end plate pathologies. A search for clinically relevant biomarkers of end plate pathology will focus on novel imaging measures of end plate bone marrow lesion (BML) severity with IDEAL MRI and cartilage endplate (CEP) fibrosis/damage with UTE MRI, assess interactions with paraspinal muscles, and identify metrics that associate with pain, disability, and degeneration. The research will refine imaging and post-processing methodologies by leveraging and expanding existing cross-sectional cohorts and then deploy and validate the new end plate iTTM to other BACPAC sites to test the most promising metrics’ clinical utility. These studies will provide validated iTTM that are useful for addressing the end plates pathology’s role in cLBP, identifying sub-phenotypes, discovering pain mechanisms, uncovering treatment targets, and selecting patients.

Managing persistent pain has long been a difficult challenge, one that is heightened by the recent opioid crisis. Although many potential solutions may exist, demonstrating their efficacy in a multicenter trial is a considerable obstacle. There is broad consensus that a nationwide clinical research network is necessary to promote innovation. A hub-spoke complex of academic medical centers with considerable experience in pain management clinical trials and biomarker validation will leverage existing resources to make clinical trial execution efficient and rapid. Together, spokes will provide maximum flexibility, ready to accommodate studies in any well-characterized pain condition.