Funded Projects

Sickle cell disease (SCD) is an inherited hematologic disorder accompanied by severe pain, inflammation, and vascular injury. We propose that nociceptor activation by ongoing hypoxia/reperfusion (H/R) injury leads to the release of neuropeptides by sensory nerves in the skin, stimulating vascular insult and mast cell activation in SCD. In turn, mast cell tryptase activates protease-activated receptor 2 on sensory nerve endings, resulting in exaggerated neuroinflammation, vascular injury, and central sensitization. Our general hypothesis is that neurogenic inflammation contributes to pain in SCD and that cannabinoids provide analgesia by disrupting neurogenic inflammation and nociceptor sensitization. We also hypothesize that EEG and functional MRI can be used to optimize analgesic treatments in SCD. We propose to use transgenic sickle mice, and individual cells involved in evoking pain, to perform this translational study. A proof of principle study in humans will examine the effect of cannabis on pain in sickle patients.

Prescriptions for narcotic pain relief after surgery result in unintended prolonged opioid use for hundreds of thousands of Americans. Nonpharmacological pain care is effective and recommended by guidelines for perioperative pain while offering a more favorable risk-benefit ratio. However, nonpharmacological pain care is rarely used as first or second-line therapy after surgery. Patient and clinician decision support interventions are effective in encouraging patient-centered and guideline-concordant care, but these strategies have not been tested pragmatically as a bundle in everyday postoperative pain care. The NOHARM trial will first confirm the feasibility of patient-facing and clinician-facing decision support components of an EHR-embedded evidence-based bundle. The investigators will test the bundle in a stepped-wedge cluster randomized trial. They will test a sustainable system strategy that could change the paradigm of perioperative pain management toward nonpharmacological options in a manner that preserves patient function, honors patient values, and maintains availability of opioids as a last resort.

Therapeutic virtual reality (VR) has emerged as a promising and evidence-based treatment modality for musculoskeletal pain, including chronic low back pain (cLBP). Users of VR wear a pair of goggles with a close-proximity stereoscopic screen that creates a sensation of being transported into lifelike, three-dimensional worlds. By stimulating the visual cortex while engaging other senses, VR modulates the user’s processing of nociceptive stimuli. Functional magnetic resonance imaging (fMRI) of the brain reveals that VR has similar effects on the sensory and insular cortex as opioids, and head-to-head trials show that VR achieves similar or greater analgesia as hydromorphone. Since there are few data regarding long-term efficacy and safety of VR in cLBP, this study will measure patient-reported outcomes, biometric outcomes, and opioid use in nonspecific cLBP patients under various experimental conditions using VR therapy.

Although digital health technologies are now widely available for both therapeutic and monitoring applications, there are wide variations in patient knowledge, attitudes, beliefs, and preferences regarding their uptake and effectiveness. There are also sociodemographic variations in willingness to participate in digital health research studies, both for chronic pain and other common disorders. However, few efforts have systematically examined patient-level predictors of digital health uptake and benefit among diverse individuals who experience chronic pain. This research will employ mixed methods to examine variations in engagement and benefit among diverse participants in a large clinical trial examining the benefits of virtual reality for treatment of chronic lower back pain.

Patients with chronic low back pain, often have depressive and anxiety symptoms and use opioids all of which are associated with stigma. In turn stigma leads to decreased treatment seeking and adherence, increased depression and pain, and poor treatment outcomes. Intersection of these health-related stigmas may have synergistic effects. This study aims to enhance the findings of a clinical trial to test antidepressant medication and Enhanced Fear Avoidance Rehabilitation in patients with chronic low back pain and high levels of depression and anxiety. The effects of these intersecting types of stigma on the efficacy of the interventions will be evaluated to better understand the needs of the patient population and to inform development of a stigma reducing intervention that can be implemented care providers.

Despite the significance of spine disorders, there are few reliable methods to determine appropriate patient care and evaluate intervention effectiveness. The research and tool development take the critical next step in the clinical translation of faster, quantitative magnetic resonance imaging (MR) of patients with lower back pain. The multidisciplinary Technology Research Site (Tech Site) of BACPAC will develop Phase IV (i.e., technology optimization) technologies and/or methods (TTMs) to leverage two key technical advancements: development of machine learning-based, faster MR acquisition methods and machine learning for image segmentation and extraction of objective disease related features from images. The team will develop, validate, and deploy end-to-end deep learning-based technologies (TTMs) for accelerated image reconstruction, tissue segmentation, and detection of spinal degeneration to facilitate automated, robust assessment of structure-function relationships between spine characteristics, neurocognitive pain response, and patient-reported outcomes.

Multiple factors, including inflammation contribute to chronic low back pain. Inflammation is mediated by numerous genes. The study aims to determine how variations in the genes encoding key inflammatory mediators impact the response of patients with chronic low back pain to physical therapy treatment. Gene variations that are known to be linked to inflammation and pain will be tested against their possible association on physical therapy treatment outcomes, to inform clinical decisions on optimal care. This study will support training in clinical research on pain within the context of the HEAL BACPAC Mechanistic Research Center. It will provide resources for a research project relevant to the parent grant and the career development of an individual in the field of pain research. The ability to identify a set of genetic variations and classify patients according to treatment response might enable use of DNA testing as a screening tool for targeted treatments for patients with CLBP.

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.

Chronic low back pain is difficult to diagnose and treat effectively in part, because of the interplay of biophysical and psychosocial influences that complicate the relationship between impairment, disability, and pain. Psychological factors such as fear of movement and catastrophyzing can lead to compensatory movement patterns that affect movement biomechanics and paraspinal structure and function, driving further impairment, disrupting the balance between passive and active spine stabilizers, and reinforcing the patient?s perceived disability status. This study will support research to determine how psychological factors, spinal pathology, and perception of pain severity and disability status influence compensatory movement strategies, how movement biomechanics, psychological factors, and pain mechanisms relate to paraspinal muscle quality, and their relative changes during treatment. The supplement will provide training opportunities for skills in clinical pain management research.

The NIH Back Pain Consortium (BACPAC) Research Program brings together leading centers with expertise in studying and treating chronic low back pain to advance understanding of the mechanisms that underlie the condition and to identify novel treatment strategies. BACPAC is undertaking a multisite precision medicine clinical trial taking into account patient-specific information to understand which patients with chronic low back pain respond best to various nonopioid, evidence-based treatments. The trial seeks to enroll a racially, ethnically, and socioeconomically diverse patient population to ensure that the results are applicable to all Americans with chronic low back pain. This project aims to develop comprehensive recruitment and retention plans for study sites that can recruit from historically underrepresented populations in clinical research (e.g., Black and Hispanic populations) and to provide dedicated financial resources to engage patients from these populations using tailored, culturally appropriate strategies.

 Non-Invasive Brain Stimulation (NIBS) has been successfully applied for the treatment of chronic pain (CP) in some disease states, where treatment induced changes in brain activity revert maladaptive plasticity associated with the perception/sensation of CP [25-28]. However, the most common NIBS methods, e.g., transcranial direct current stimulation, have shown limited, if any, efficacy in treating neuropathic pain. It has been postulated that limitations in conventional NIBS techniques’ focality, penetration, and targeting control limit their therapeutic efficacy . Electrosonic Stimulation (ESStim™) is an improved NIBS modality that overcomes the limitations of other technologies by combining independently controlled electromagnetic and ultrasonic fields to focus and boost stimulation currents via tuned electromechanical coupling in neural tissue . This proposal is focused on evaluating whether our noninvasive ESStim system can effectively treat CP in carpal tunnel syndrome (CTS), both as a lone treatment and in conjunction with physical therapy (PT). Investigators hypothesize ESStim can be provided synergistically with PT, as both can encourage plasticity-dependent changes which could maximally improve a CTS patient’s pain free mobility. In parallel with the CTS treatments, the team will build multivariate linear and generalized linear regression models to predict the CTS patient outcomes related to pain, physical function, and psychosocial assessments as a function of baseline disease characteristics. The computational work will be used to develop an optimized CTS ESStim dosing model. 

The BACPAC Research Program’s Data Integration, Algorithm Development, and Operations Management Center (DAC) will bring cohesion to research performed by the participating Mechanistic Research Centers, Technology Research Sites, and Phase 2 Clinical Trials Centers. DAC Investigators will share their vision and provide scientific leadership and organizational support to the BACPAC Consortium. The research plan consists of supporting design and conduct of clinical trials with precision interventions that focus on identifying the best treatments for individual patients. The DAC will enhance collaboration and research progress with experienced leadership, innovative design and analysis methodologies, comprehensive research operations support, a state-of-the-art data management and integration system, and superior administrative support. This integrated structure will set the stage for technology assessments, solicitation of patient input and utilities, and the evaluation of high-impact interventions through the innovative design and sound execution of clinical trials, leading to effective personalized treatment approaches for patients with chronic lower back pain.