Opportunity

NIH Reporter #5U19AG074879-04

NIH Grant Award for Alzheimer's Disease Biomarker Research in Diverse Populations

Posted

October 04, 2023

Respond By

June 11, 2026

Identifier

5U19AG074879-04

NAICS

541714

This opportunity involves a research grant awarded by the National Institute on Aging (NIA), part of the National Institutes of Health (NIH), for Alzheimer's Disease biomarker research: - Government Buyer: - National Institutes of Health (NIH), National Institute on Aging (NIA) - Awardee: - Mayo Clinic, Jacksonville, FL - Project Focus: - Research on 'Peripheral and Central Biomarkers of Alzheimer's Disease in Diverse Cohorts' - Emphasis on African American and Latino American populations - Utilizes existing longitudinal blood collections, clinical, neuroimaging, and cognitive data - Analyzes samples from the Alzheimer's Disease Neuroimaging Initiative (ADNI) and five Alzheimer’s Disease Research Centers (ADRCs): Mayo Clinic, Indiana, Florida, Michigan, and Knight ADRCs - Multi-omic approach to identify centrally-linked peripheral molecular signatures (CLPMS) - Aims to improve Alzheimer's Disease diagnosis, prediction, and understanding of population-specific pathways and genetic variants - Award Amount: - $420,187 for the current funding period - Notable Requirements: - No specific commercial products, OEMs, or vendors are named - Focus is on biomedical research and data analysis, not procurement of equipment or software

Description

This NIH-funded research project aims to identify novel blood biomarkers for Alzheimer's Disease (AD) by studying African American and Latino American cohorts, who are understudied populations in AD research. The project leverages existing trial-ready cohorts with longitudinal blood collections, clinical, neuroimaging, and cognitive data to find centrally-linked peripheral molecular signatures. It hypothesizes that genetic, transcriptomic, and epigenetic variations in these populations will reveal new mechanisms and similarities with non-Hispanic whites. The study uses a multi-omic approach to improve AD diagnosis, prediction, and understanding of population-specific pathways, ultimately supporting precision medicine and informing therapy and preventive interventions.

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