Funded Projects

The HEAL-funded Sequenced-strategy for Improving Outcomes in People with Knee Osteoarthritis Pain (SKOAP) clinical trial evaluates behavioral, pharmacologic, and procedural interventions for patients with knee osteoarthritis pain. It is designed to mimic clinical care for these patients by first testing the effectiveness of conservative and nonsurgical interventions before considering surgical interventions. It is a large-scale clinical trial with a novel design that evaluates multidisciplinary treatments. Therefore, it offers a unique training opportunity for junior investigators from various disciplines who are interested in pain research and management. This mentoring award will allow a selected investigator to train junior investigators by providing protected, mentorship-focused time.

Over-the-counter medicines such as non-steroidal anti-inflammatory drugs are ineffective for treating severe chronic pain and may have serious side effects from continued use, which limits treatment options. A kinase (an enzyme whose activity targets a specific molecule) called TAK1 is involved in the chronic pain process. This research will develop a molecule previously shown to be effective in a model of inflammatory pain that also inhibits TAK1. A main goal will be to determine if this inhibitor (takinib analog HS-276) can cross the blood-brain barrier and, if successful, pursue FDA  Investigative New Drug-enabling safety studies leading to a Phase I clinical trial and a potential new chronic pain treatment.

Social determinants of heath may affect breast cancer diagnosis and disease staging at time of mastectomy. It is unclear if socioeconomic factors such as annual income, marital status/single parent household, number of children, distance from the hospital, and other life stressors facing individuals from under-resourced populations affect development of postmastectomy pain syndrome or response to the drug ketamine. This research will analyze these factors toward mitigating post-mastectomy pain. This analysis will also serve as the basis for further research to define pathways that minimize health disparities plays in the development of chronic, post-surgical pain. The ultimate goal of this research is to normalize risk for chronic pain after breast surgery.

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.

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.

A significant gap exists in understanding of the barriers blocking access to specialized care for children of color who experience headaches, as well as to understand and appreciate the impact of undertreatment on a child’s functional ability and quality of life. Long-term, this research aims to understand these barriers to care and test interventions to remedy disparities. As the first step, this project's primary objective is to identify socioeconomic and clinical factors that lead children experiencing headache to seek care in an emergency department in lieu of outpatient neurology care. The results of this research will help to inform efforts to reduce the negative effects of emergency department overuse in this population and guide them to potentially more appropriate outpatient care.

People with diabetes are at risk for painful diabetic peripheral neuropathy. This pain may be experienced as burning, aching, hypersensitivity to touch, or simply as pain, and there are no currently FDA-approved medications that reduce its symptoms. This phase 2 clinical trial, through the EPPIC-NET program, will test a potential new treatment for painful diabetic peripheral neuropathy. The molecule, NRD135S.E1, is a lab-made version of a natural substance traditionally used to brew tea to treat a variety of indications, including pain, in a village in Siberia. In clinical studies, NRD135S.E1 was well tolerated by patients and showed clinically relevant pain relief. Testing within EPPIC-Net will use a master protocol, an innovative study design in which multiple treatments can be tested at the same time with fewer research participants.

The University of California, San Francisco, as part of the Back Pain Consortium (BACPAC) Research Program, has established a Core Center for Patient-centric Mechanistic Phenotyping in Chronic Low Back Pain (REACH). The main goal of REACH is to define different subtypes (phenotypes) of chronic low back pain as well as to identify underlying pain mechanisms that can lead to effective, personalized treatments for patients across all population subgroups. To achieve this goal, REACH is, or will be, participating in several clinical trials, and it is imperative that the patients participating in these trials reflect the diversity of the U.S. population. Therefore, this project seeks to adapt methods that have successfully improved minority participation in other settings as well as to develop and deploy digital strategies that can promote recruitment and engagement of patients from marginalized populations.

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.

There are a dearth of integrated treatments that simultaneously address the fundamental causes of chronic pain and opioid misuse/opioid use disorder and that focus on well-being among individuals with chronic pain and opioid misuse/disorder. This research will study how to improve the lives of patients with chronic pain and opioid misuse/disorder via tailored interventions that explicitly target increasing quality of life and engagement in valued activities, the cultural centering of interventions to meet the needs of diverse patient populations and reducing stigma of chronic pain and opioid misuse/disorder. Specific research projects will i) test the effectiveness, mechanisms, and implementation of an integrated psychosocial treatment for chronic pain and opioid use disorder among individuals receiving buprenorphine from outpatient treatment clinics, and ii) will use community-based participatory research methods to develop a culturally centered strategy for screening and brief intervention of chronic pain and opioid use disorder among American Indian/Alaska Native patients in primary care settings. This research will shed light on a difficult problem and improve health and wellbeing with a focus on diverse and underserved populations.

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.

Knee osteoarthritis is one of the leading causes of disability worldwide, particularly among older adults. Despite multiple guidelines for care, most patients do not receive adequate treatment, and about 30% are prescribed long-term opioids. This award will be used to recruit and support an early career faculty member from a group underrepresented in biomedicine. This research, part of the Pain Management Effectiveness Research Network will evaluate conservative and more aggressive treatments for knee osteoarthritis and determine which individual-level factors contribute to treatment outcomes.

Chronic pain and opioid use disorder often occur together, but there are a striking lack of integrated treatments accessible to people in need, particularly Black and Hispanic individuals living and seeking care in under resourced settings. This research will examine multi-modal, evidence-based practices in diverse health care settings and among diverse populations with both chronic pain and opioid misuse/disorder. The first project will examine the effects of yoga and physical therapy onsite at methadone opioid treatment clinics. The second project will test Acceptance and Commitment Therapy and a care-management smartphone app for individuals in primary-care based buprenorphine treatment. The third project will compare microdosing versus standard doses/timing of buprenorphine for hospitalized patients. All three projects will improve access to care for Black and Hispanic individuals in under resourced settings by bringing integrated treatments to them. The interventions have high potential to be used broadly.