Funded Projects

Pain in muscles and surrounding connective tissue (myofascial pain) is a significant health concern affecting hundreds of millions of Americans. There is no objective way to identify and measure myofascial pain. This project will address this unmet challenge by developing a robust approach to identify imaging biomarker(s) that can distinguish different states of myofascial pain. The research will then examine the ability of identified biomarker(s) to predict patient responses to a myofascial pain treatment in a randomized controlled clinical trial.

A primary factor contributing to acute or recurrent back injury is overexertion via excessive peak and cumulative forces on the back and the primary factors involved in the progression of acute low back injury to chronic low back pain (cLBP) include maladaptive motor control strategies, muscle hyperactivity, reduced movement variability, and the development of fear cognitions. This project will focus on the development of robotic apparel with integrated biofeedback components that can reduce exertion; encourage safe, varied movement strategies; and promote recovery. Robotic apparel will be capable of providing supportive forces to the back and hip joints through adaptive control algorithms that respond to dynamic movements and becoming fully transparent when assistance is no longer needed. This technology can be used to prevent cLBP caused by overexertion and provide a new tool to physical therapists and the clinical community to enhance rehabilitation programs.

The Greater New York Clinical Center (GNYCC) aims to engage experts in pain research and pain practice to build the infrastructure required to support the objectives of the Early Phase Pain Investigation Clinical Network (EPPIC-Net). The GNYCC will provide expertise and resources to perform phase 2 clinical trials to test the efficacy of novel pain treatments, as well as phenotyping and biomarker studies that will enable customized treatments. The consortium comprises four major academic centers in New York City, one of the most diverse cities in the United States and the nation’s largest metropolitan area. We will 1) build infrastructure to rapidly access clinical trial resources and a network of investigators and clinical leaders, 2) develop a plan for swift evaluation and launch of proposed studies, and 3) optimize patient retention and monitor sites to ensure protocol adherence, data quality, and efficiency.

Pain in the muscles and surrounding connective tissue (myofascial pain) is a significant and poorly understood health concern affecting hundreds of millions of Americans. There is a great need for tools to assess changes to myofascial tissues in individuals with chronic pain as well as to measure the effect of commonly used therapies. This project will use three imaging tools to look at differences between shoulder tissue in people with myofascial pain compared to those without pain. Using a machine learning approach, this research aims to develop a biomarker signature for myofascial pain, which will be evaluated in a randomized controlled clinical trial based on its ability to predict patient responses to myofascial pain treatments.

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 Helping to End Addiction Long-term? (HEAL) Initiative’s Early Phase Pain Investigation Clinical Network (EPPIC-Net) is a unique opportunity to impact the management of pain, through expeditious discovery and validation of biomarkers and analgesic therapies, and in-depth phenotyping. The University of Washington’s (UW) Division of Pain Medicine (UW Pain; “hub”) includes four core clinical sites. Committed spokes include specialty care clinics, primary care clinics, external academic medical centers, and health systems. To achieve the goals of the HEAL Initiative’s EPPIC-Net, the study group will (1) establish UW EPPIC-Net hub and spokes infrastructure, provide scientific leadership and administrative oversight, and apply expertise in design and conduct of high-quality multidisciplinary Phase 2 clinical trials and biomarker validation studies; (2) develop policies and procedures for rapid design, initiation, recruitment, conduct, and closure of high-quality multidisciplinary Phase 2 clinical trials and biomarker validation studies for specific pain conditions at UW Pain EPPIC-Net hub and spokes; and (3) establish mechanisms for communication, education and training, and performance assessment of the UW-EPPIC-Net hub and spokes, to assure efficient and timely utilization of resources to most effectively recruit research participants into EPPIC-Net.

Ethnic groups show substantial variability in the experience of acute and clinical pain, with African Americans (AAs) having more clinical pain conditions and higher levels of pain severity and pain-related disability compared to non-Hispanic whites (NHW). Ethnic differences in opioid neurotransmitters suggest that these systems function less efficiently among AAs and may account for differences in pain and analgesic responses. The overwhelming majority of clinically used opioids elicit their effects through activation of the mu-opioid receptor, making it a relevant target for investigation. We propose to examine ethnic differences in the supraspinal endogenous opioid system using positron emission tomography (PET) imaging of mu-opioid receptors employing the mu-selective agonist [11C]carfentanil. Healthy AAs and sex-, age-, SES-matched NHW participants will undergo one baseline (non-pain) and one capsaicin-induced pain PET session using [11C]carfentanil. The current proposal will measure µ-opioid binding potential and examine its role in ethnic group differences in pain sensitivity.

Fibromyalgia (FM) is a chronic pain condition characterized by widespread musculoskeletal pain, tenderness, and stiffness associated with fatigue and sleep disturbance. The investigators have recently completed a trial that demonstrated efficacy of active transcutaneous electrical nerve stimulation (TENS) compared with placebo TENS or no treatment in women with FM. While physical therapists are trained in using TENS, it is underused in clinical practice. This application proposes a pragmatic clinical trial of TENS for patients with FM to determine if the addition of TENS to physical therapy (PT) reduces pain, increases PT adherence, and helps achieve functional goals with less drug use. This study will address the critical need for strategies to implement effective nonpharmacologic treatments for FM. Successful completion of this trial will provide generalizable effectiveness data for referring providers, physical therapists, and insurers and will inform future pragmatic trials of nonpharmacologic treatments conducted in PT practices.

Many barriers exist in primary care offices where socioeconomically disadvantaged patients are most often treated. This project seeks to address chronic pain disparities that affect racially diverse, socioeconomically disadvantaged individuals. The study aims to optimize multimodal pain management in primary care clinics for low-income populations. This study includes two group-based models: integrative group medical visits and group acupuncture. These two interventions will be compared to typical treatment to measure both pain interference and social isolation. National experts and patient stakeholders will refine and optimize the design of the study with English- or Spanish-speaking patients with chronic pain in two primary care clinics for low-income populations.

The opioid crisis has underscored the urgency of alleviating patients’ chronic low back pain (cLBP) with effective therapies, including evidence-based nonpharmacologic approaches. Mindfulness-based stress reduction (MBSR) is now recommended by the American College of Physicians for initial treatment of cLBP. A pragmatic clinical trial (PCT) will inform health care decision makers about whether this program can be implemented in a real-life clinical setting and measure its impact on outcomes. The OPTIMUM (Optimizing Pain Treatment In Medical settings Using Mindfulness) program will integrate and test an evidence-based mindfulness clinical pain program for patients with cLBP in the primary care provider (PCP) setting. It will be conducted with three health care system sites. Four hundred and fifty persons ? 18 years of age with cLBP will be randomized to OPTIMUM + PCP Usual Care or PCP Usual Care.

Health care services for patients with both chronic pain and opioid use disorder are fragmented in the United States. To develop effective and feasible interventions for chronic pain and opioid misuse/disorder that can be implemented in both general medical and addiction treatment settings, this research examines two different care-delivery strategies. The first project will compare the effectiveness of a pharmacist-led, collaborative care approach for patients prescribed long-term opioids who have chronic pain and  opioid misuse/disorder compared to a pharmacist program with a cognitive behavior therapy-based pain self-management program. The second project will examine the effectiveness of a multimodal, interdisciplinary chronic pain management program that includes cognitive behavioral therapy, exercise, and stress management. With input from stakeholders and individuals with lived experience, this research has the potential to generate novel, reproducible, and scalable findings that addresses fragmented care delivery for co-occurring chronic pain and opioid misuse/disorder.

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.

Identifying optimal chronic low back pain treatments on a patient-specific basis is an important and unresolved challenge. Tailoring interventions according to patient movement characteristics is one option. This research is characterizing patients based on spinal motion during functional tasks and daily activities and will use artificial intelligence to objectively characterize motions of the spine during both clinical assessments and day-to-day life. During clinical assessments, participants will be asked to perform functional tasks while wearing motion sensors. Data collected from the sensors will be used to identify tasks of interest, such as activities of daily living and aberrant/painful motions. An artificial intelligence approach will then interpret data collected continuously during assessment in patients’ homes over a 7-day testing period. Ultimately, this data could be used to help clinicians tailor treatments that are responsive to a patient’s real-world functional impairments.