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This funding opportunity announcement (FOA) is part of a suite of FOAs to support the development of safe, effective, and non-addictive therapeutics to treat pain. The goal of this FOA is to support team-based research projects to develop assays, screening and early optimization work to develop a non-addictive therapeutic to treat pain. Discovery and validation of pharmacodynamic markers efficacy and pharmacokinetic/pharmacodynamic (PK/PD) studies are also responsive. The result of the project should be to advance a hit or lead to the point where they can meet the entry criteria for RFA-NS-21-010 HEAL Initiative: Non-addictive Analgesic Therapeutics Development [Small Molecules and Biologics] to Treat Pain (UG3/UH3 Clinical Trial Optional) within the 5 years of the award. Applications should propose a plan that will lead to the development of analgesics with a rigorous biological rationale and scientifically sound assays. If the data does not currently exist, the proposal must include a strong plan for developing data linking the putative therapeutic target(s) to the proposed pain indication and supporting the hypothesis that altering the target activity will produce desirable outcomes for the disease. This FOA is not specific for any one or group of pain conditions. Projects to develop therapeutics for acute pain, chronic pain, painful neuropathy, musculoskeletal pain, headache disorders, osteoarthritis, diabetic neuropathy, chemotherapy-induced neuropathy, eye pain, sickle-cell pain, post-surgical pain, cancer pain, visceral pain, obstetric pain, gynecologic pain, post stroke pain, myofascial pain, painful disorders of the orofacial region and other conditions will be considered.
The NIH INvestigation of Co-occurring conditions across the Lifespan to Understand Down syndromE (INCLUDE) Project seeks to improve health and quality-of-life for individuals with Down syndrome. This FOA is intended to support meritorious small research projects focused on analyses of genomics other -omics, clinical and phenotypic datasets related to Down syndrome research, with an emphasis on elucidating the underlying etiologies of risk and resiliencies to co-occurring health conditions. Development of approaches, tools, or algorithms appropriate for analyzing data relevant to Down syndrome and facilitating data sharing within the research community through the INCLUDE Data Hub may also be proposed.