# Neuroimmunology Core

> **NIH NIH P30** · COLUMBIA UNIVERSITY HEALTH SCIENCES · 2022 · $180,826

## Abstract

NEUROIMMUNOLOGY CORE PROJECT SUMMARY/ABSTRACT
 The Columbia University ADRC’s Neuroimmunology (Neuroimm) Core supports the development of
biosample and data resources along one of the three thematic axes of the ADRC. Characterizing immune
responses is an important component of AD investigations, but these responses are not solely responsible for
the disease. Thus, it is important to integrate thoughtful, informed study design, specialized resources as well as
emerging experimental and analytic pipelines for systematic immune function characterization with existing
biomarker, genetic, neuroimaging and other resources to assemble a comprehensive approach to AD
investigations. Our understanding of the role of the immune system in AD is rapidly evolving, and innate immune
cells appear to play a key role. Thus, we propose to: (1) create a new sample resource by cryopreserving CSF
cells from each recruited subject, (2) create new assays that measure surrogate markers of microglia in CSF,
(3) assess the systemic state of inflammation in each of the sampled subjects, and (4) estimate the functional
capacity of each individual’s microglia to respond to key stimuli. Thus, we will generate novel sample, assay,
and data resources with which to accelerate the characterization of the immune system in AD.

## Key facts

- **NIH application ID:** 10413101
- **Project number:** 5P30AG066462-03
- **Recipient organization:** COLUMBIA UNIVERSITY HEALTH SCIENCES
- **Principal Investigator:** PHILIP L DE JAGER
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $180,826
- **Award type:** 5
- **Project period:** 2020-06-15 → 2025-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10413101

## Citation

> US National Institutes of Health, RePORTER application 10413101, Neuroimmunology Core (5P30AG066462-03). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10413101. Licensed CC0.

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