Opportunity
Simpler Grants.gov #PAR-25-282
NIH Solicits Research on Mood and Psychosis During Menopause Transition
Buyer
National Institutes of Health
Posted
November 22, 2024
Respond By
January 07, 2028
Identifier
PAR-25-282
NAICS
541715, 541720
The National Institutes of Health (NIH) is seeking research proposals to advance understanding of mood and psychosis symptoms during the menopause transition. - Government Buyer: - National Institutes of Health (NIH) - Office of Research on Women's Health - National Institute of Mental Health - Products/Services Requested: - Translational research services focused on neurobiological and behavioral mechanisms underlying mood and psychosis disorders during menopause - Targeted disorders include perimenopausal depression, generalized anxiety disorder, bipolar disorder, and schizophrenia - No specific products, equipment, or part numbers required - Unique/Notable Requirements: - Emphasis on interdisciplinary, hypothesis-driven research - Open to a wide range of organizations: educational, nonprofit, business, governmental, tribal, and minority-serving institutions - No cost sharing or matching required - Funding provided as grants - OEMs and Vendors: - No OEMs or specific vendors mentioned; focus is on research services - Place of Performance: - National Institutes of Health (federal office)
Description
This Notice of Funding Opportunity (NOFO) aims to advance translational research to better understand the emergence and worsening of mood and psychotic disorders during the menopause transition. The research focuses on identifying neurobiological and behavioral mechanisms underlying these disorders to develop novel treatment interventions. It encourages interdisciplinary collaboration and covers aspects such as depressive symptoms combined with menopause symptoms, reproductive steroid roles, diagnosis at menopausal stage, co-occurring psychiatric and menopause symptoms, psychosocial factors, and differential diagnoses. Review criteria emphasize comprehensive neurobiology and hypothesis-driven work.