Friday, November 22, 2024
11/22/2024
DESCRIPTION (provided by applicant): Mood and anxiety disorders exert substantial societal cost and personal burden for patients and families. Current treatment approaches for these disorders are primarily focused on increasing brain neurotransmitters like serotonin, i.e. via selective serotonin-reuptake inhibitors (SSRIs). However, large-scale effectiveness studies have demonstrated this class of drugs is only partially effective. Recent studies have suggested that elevating levels of endogenous brain cannabinoids could exert therapeutic benefit in mood and anxiety disorders including PTSD. We have recently developed novel inhibitors of cyclooxygenase-2 (COX-2) that selectively prevent inactivation of brain endocannabinoids without preventing synthesis of prostaglandins; which are inflammatory mediators required for normal immune and vascular function. Given that long-term inhibition of prostaglandin synthesis is associated with gastrointestinal and cardiovascular toxicity, development, validation, and preclinical evaluation of novel pharmacological strategies to modulate COX-2 activity to enhance endocannabinoid signaling without affecting prostaglandin synthesis is a high research priority. We will test the hypothesis that "substrate-selective" inhibitors of COX-2 selectively increase brain endocannabinoid levels without affecting prostaglandin levels and that they exert preclinical efficacy in models of mood and anxiety disorders. Completion of these studies will provide preclinical evidence for the efficacy of a novel class of antidepressant and anxiolytic drugs, and could validate COX-2 as a viable molecular target for future drug discovery directed at the treatment of affective disorders.
HHS’ Tracking Accountability in Government Grants System (TAGGS) website provides access to detailed descriptions of grants, loans, aggregated direct payments and other types of financial assistance awarded by the HHS Operating Divisions (OPDIVs) and the Office of the Secretary Staff Divisions (STAFFDIVs).
