Funded Projects

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.

There are numerous non-pharmacological interventions for chronic low back pain, yet no treatment is invariably effective for all. Understanding patient characteristics that predict differential responses to these non-pharmacological interventions will allow for tailored treatments to maximize positive patient impact. This supplement supports a training experience for an individual in clinical pain research, including exploring differential response to psychotherapeutic interventions. The aim of the project is to provide an extensive systematic literature review examining baseline phenotypic factors that predict differential responsiveness to the some of the most commonly used psychotherapeutic interventions for chronic low back pain.

Chronic overlapping pain conditions represent up to half of all chronic pain cases and can be more debilitating than other forms of chronic pain. These conditions include but are not limited to the following: temporomandibular disorders, fibromyalgia, irritable bowel syndrome, vulvodynia, interstitial cystitis/painful bladder syndrome, painful endometriosis, chronic tension type headache, migraine headache, chronic low back pain, and chronic fatigue syndrome. Common neurobiological mechanisms have been suspected to account for the overlap between these conditions, but until recently it has been difficult to efficiently classify each condition within individual patients. A digital classification tool for clinicians has been developed for this purpose, but access to the tool remains limited. Here we propose converting this chronic overlapping pain conditions classification tool into a common web-based application format.

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.

American Indian and Alaska Native (AI/AN) youth and young adults experience disproportionately high rates of suicide, mental health disorders, traumatic life events, and substance use disorder. More effective, culturally informed interventions are needed that are tailored to the specific needs of this population. This supplement will examine how a person?s social network contributes to their behavioral health (suicide risk, mental health, substance use) status and how this network can be leveraged to improve the uptake of prevention interventions. The long-term goal is to disseminate and translate the lessons learned into practical policy, organizational changes, and preventive innovations that optimize patient-centered health outcomes and ultimately reduce or eliminate the dramatic and tragic suicide-related health disparities among urban AI/AN YYAs.

Mortality and morbidity related to suicidal behavior and opioid use disorder (OUD) have increased significantly over the past decade. These two public health crises are intertwined at multiple levels. Medications for OUD, especially buprenorphine, have been shown to decrease opioid use and reduce the multiple negative consequences of OUD, including fatal and nonfatal overdose, criminal justice involvement, infectious complications, and misuse of other substances. In addition, small randomized trials of buprenorphine treatment in treatment-resistant depression (with or without co-occurring OUD) suggest that buprenorphine reduces depressive symptoms and suicidal ideation. This large study will evaluate the effects of starting buprenorphine treatment on self-harm and suicide attempt among people with opioid use disorder, including those with and without co-occurring mental health conditions or other known risk factors for suicidal behavior. Comprehensive health records data from four large health systems serving a combined member/patient population of approximately 11 million will be examined for the overall effect of buprenorphine treatment on subsequent self-harm or suicide attempt, including differences in effects between patient subgroups and specificity of effects to buprenorphine vs other medications.

The Philippine Mollusk Symbiont International Cooperative Biodiversity Group harnesses the vast biodiversity of the Philippines to discover new drugs to treat bacterial infections, parasitic infections, pain, and other neurological conditions and cancer, all of which are serious health problems in both the Philippines and the United States. The Republic of the Philippines represents a unique nexus of exceptional biodiversity, dense human population with pressing societal needs, consequent urgent need for conservation, and government commitment to education and technology to harness national human and natural resources for a sustainable future. Mollusks are one of the most diverse groups of marine animals, and their associated bacteria represent an unexplored trove of chemical diversity. Researchers will use an increasing understanding of the interactions between mollusk symbionts and their hosts to discover the most novel and useful molecules. The project will document and describe Philippine mollusk biodiversity and support training and infrastructure that provide the foundation for conservation of Philippine biodiversity.

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.

Opioid use during pregnancy is associated with adverse outcomes for pregnant individuals and offspring. The mechanisms through which these outcomes arise and the consequences of prenatal opioid exposure on child health and development remain largely unexplored. The HEALthy Brain and Child Development (HBCD) Study is a nationwide longitudinal prospective study of early child development that will assess a broad spectrum of biological, behavioral, social, and health factors among 7,500 pregnant women and their children from pregnancy to mid-childhood. This supplement will expand the biospecimen collection of the HBCD protocol at the University of North Carolina at Chapel Hill to include delivery specimens (placenta, cord tissue, and cord blood). This will provide an unprecedented resource-generating opportunity for the larger scientific community to comprehensively evaluate mechanisms that mediate the connection between substance use during pregnancy and adverse neonatal, infant, and/or maternal health outcomes and inform innovative preventive strategies.

Neonatal opioid withdrawal syndrome (NOWS) has emerged as a tragic by-product of the opioid epidemic. Newborns whose mothers used opioids while pregnant can experience symptoms of opioid withdrawal in the days following birth, such as tremors, irritability, seizures, sleep, digestive, and feeding problems. However, little is known about the effect of antenatal opioid exposure on longer-term infant development over time. To address this gap in understanding, the ACT NOW Longitudinal study is examining a crucial developmental period from birth to two years of life through a comprehensive battery of assessments, including MRI imaging, neurodevelopmental behavioral assessments, and family report measures. This longitudinal cohort study is projected to include a total of 375 infants, 250 who were exposed to opioids and 125 matched controls.

The Acute to Chronic Pain Signatures Program is developing a comprehensive data set that can be used to help predict which patients will recover from acute pain associated with surgery or injury and which ones will develop long-lasting chronic pain. This project will support an early career faculty member from a group underrepresented in biomedicine. The research will enhance skills development toward conducting and coordinating clinical pain research, generating omics datasets, advancing understanding of statistical methods, and other activities required for career development. 

Improving pain treatment for is a major goal of the NIH HEAL Initiative. This award supports an early career physician toward achieving a future in clinical pain research and in conducting phase II clinical trials focused on pain. Research activities will provide this individual with the skills needed to serve as a primary investigator for future clinical trials in chronic pain and will help to answer a key question that could improve the design of analgesic clinical trials for neurogenic intermittent claudication, a distinct form of chronic low back pain for which no available treatment exists.

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.