Funded Projects

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Project # Project Title Research Focus Area Research Program Administering IC Institution(s) Investigator(s) Location(s) Year Awarded
1R01DE032501-01
Targeting HB-EGF and Trigeminal EGFR for Oral Cancer Pain and Opioid Tolerance Preclinical and Translational Research in Pain Management Discovery and Validation of Novel Targets for Safe and Effective Treatment of Pain NIDCR NEW YORK UNIVERSITY YE, YI New York, NY 2022
NOFO Title: HEAL Initiative: Discovery and Validation of Novel Targets for Safe and Effective Pain Treatment (R01 Clinical Trial Not Allowed)
NOFO Number: NS22-034
Summary:

Oral cancers are painful and often require use of opioid medications to manage pain. However, the effectiveness of opioids often wanes quickly, and many patients require higher doses because they develop tolerance to these medications. This project will study the potential value of blocking epidermal growth-factor receptors interacting with peripheral nerves to treat oral cancer pain. The findings will advance understanding of the molecular mechanisms underlying oral cancer pain and provide a rationale for repurposing epidermal growth-factor receptor blockers, which is already approved for head and neck cancer treatment for treating oral cancer and associated pain.
2R44DA041912-03
COMPLETION OF IND-PACKAGE FOR A NOVEL, NON-NARCOTIC PAINKILLER Cross-Cutting Research Small Business Programs NIDA Blue Therapeutics, Inc. Yekkirala, Ajay S CAMBRIDGE, MA 2019
NOFO Title: PHS 2017-02 Omnibus Solicitation of the NIH, CDC, and FDA for Small Business Innovation Research Grant Applications (Parent SBIR [R43/R44])
NOFO Number: PA-17-302
Summary:

Opioids like morphine and hydrocodone are generally the most effective therapeutics for treatment of moderate to severe pain. However, their use is limited by serious side effects: tolerance, constipation, respiratory depression, physical dependence, and high addictive potential. Alternative pain relievers with the analgesic potency of conventional opioids, but devoid of narcotic side effects, are an immediate need. The goal of this project is to develop and commercialize an alternative to conventional opioid analgesics with reduced side effects and without the addictive properties common to mu-opioid agonists, targeting a new molecule in the central nervous system. This project will perform the necessary preliminary studies to prepare this new molecule for an investigational new drug application with the FDA.
1R61AT012185-01
MRI-Based Quantitative Characterization of Impaired Myofascial Interface Properties in Myofascial Pain Syndrome Clinical Research in Pain Management Discovery and Validation of Biomarkers, Endpoints, and Signatures for Pain Conditions NCCIH MAYO CLINIC ROCHESTER YIN, ZIYING (contact); BAUER, BRENT A Rochester, MN 2022
NOFO Title: HEAL Initiative: Developing Quantitative Imaging and Other Relevant Biomarkers of Myofascial Tissues for Clinical Pain Management
NOFO Number: RFA-AT-22-003
Summary:

Pain in the muscles and surrounding connective tissue (myofascial pain) is a significant health concern affecting hundreds of millions of Americans. Understanding and managing myofascial pain has been limited due to a lack of tools to help clinicians diagnose and treat this disorder. While past efforts to understand myofascial pain have focused on impairments in how connective tissues connect to other tissues in the body, this project will use a new imaging technique to study myofascial tissue physical properties, including how they move in the body and their structural stiffness. This research will identify an imaging biomarker to be used in a randomized controlled clinical trial to predict patient responses to a myofascial pain treatment.
1R61AT010606-01
Adapting the HOPE Online Support Intervention to Increase MAT Uptake Among OUD Patients Translation of Research to Practice for the Treatment of Opioid Addiction Behavioral Research to Improve Medication-Based Treatment NCCIH UCLA YOUNG, SEAN Los Angeles, CA 2019
NOFO Title: HEAL Initiative: Behavioral Research to Improve MAT: Behavioral and Social Interventions to Improve Adherence to Medication Assisted Treatment for Opioid Use Disorders (R61/R33 Clinical Trial Optional)
NOFO Number: RFA-AT-19-006
Summary:

Online peer-led support interventions may increase medication-assisted therapy (MAT) initiation and sustainment among participants with opioid use disorder (OUD) because they can leverage peers to widely and rapidly scale changes in social norms (e.g., interest in using MAT) throughout people’s natural, real-world, virtual environments. Harnessing Online Peer Education (HOPE), an online peer support community intervention designed to reduce stigma and increase health behavior change, has effectively changed health behaviors among stigmatized populations, such as for HIV. This study will determine how to adapt the HOPE online support intervention to increase MAT initiation and sustainment among participants with OUD, assess the intervention’s effectiveness at increasing MAT use among OUD participants recruited online who are not using MAT, and use an implementation science approach to determine the relationship between social network dynamics (e.g., network size), topics discussed on the online community, and behavior change.
5R01AI132030-02
MINING REAL-TIME SOCIAL MEDIA BIG DATA TO MONITOR HIV: DEVELOPMENT AND ETHICAL ISSUES Translation of Research to Practice for the Treatment of Opioid Addiction NIAID UNIVERSITY OF CALIFORNIA LOS ANGELES YOUNG, SEAN Los Angeles, CA 2018
NOFO Title: Administrative Supplements to Existing NIH Grants and Cooperative Agreements (Parent Admin Supp Clinical Trial Optional)
NOFO Number: PA-18-591
Summary:

Social big data analysis of publicly available user data on social media platforms is a promising approach for attaining organic observations of behavior that can monitor and predict real-world public health problems, such as HIV incidence. In preliminary research, our team identified and collected tweets suggesting HIV risk behaviors (e.g., drug use, high-risk sexual behaviors), modeled them alongside CDC statistics on HIV diagnoses, and found a significant positive relationship between HIV-related tweets and county-level HIV cases. We propose to create a single automated platform that collects social media data, identifies and labels tweets that suggest HIV-related behaviors, and predicts regional HIV incidence. We will interview staff and participants at local and regional HIV organizations to understand ethical issues associated with mining people’s data. The software developed from this application will be shared with HIV researchers and health care workers to combat the spread of HIV.