# Proteomics profiling and risk of dementia

> **NIH NIH K01** · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · 2020 · $110,541

## Abstract

PROJECT SUMMARY/ABSTRACT
There is a pressing and unmet need for non-invasive biomarkers that permit identification of individuals at
elevated risk of Alzheimer’s disease and related dementias before clinical disease manifestation and
irreversible injury has occurred. Ideally, such markers might even identify unexpected therapeutic targets.
Plasma proteomic profiles may provide a critical innovation to identify these individuals in a minimally invasive
fashion. The overall objective of this proposal is to identify plasma proteomic profiles associated with future risk
of dementia.
This K01 Mentored Research Scientist Career Development Award entitled ‘Proteomics profiling and risk of
dementia’ will leverage existing data from the Cardiovascular Health Study (CHS) and the Ginkgo Evaluation of
Memory (GEM) Study, which conducted detailed prospective ascertainment of dementia in its population-
based cohorts of elders. Proteomic profiles are currently measured using liquid chromatography–mass
spectrometry in plasma samples of 3,602 CHS participants included in the prospective CHS Cognition Study
and in plasma samples of 200 participants of the GEM study. Aim 1 assesses the associations of plasma
proteins with risk of subsequent dementia among 3,602 dementia-free CHS participants (480 of whom
subsequently developed dementia during an average of 5.4 years of follow-up). Aim 2 assesses the
association of plasma protein networks with risk of subsequent dementia among the same CHS participants.
Aim 3 externally validates the association of plasma proteins or protein clusters related to dementia in aim 1 or
2 with dementia risk in 100 dementia cases and 100 matched controls samples from the GEM study. These
aims correspond to National Institute on Aging’s mission to ‘support and conduct biological research on aging
and to foster the development of research scientists on aging.’ Findings from this project have a high likelihood
of significant clinical impact, allowing targeted approaches to dementia prevention and intervention.
This project will provide the applicant with exceptional mentorship and training in systems epidemiology,
Alzheimer’s disease and related dementia, proteomics analysis and statistical inference using high-
dimensional data from a dedicated group of faculty mentors including Dr. Kenneth J. Mukamal, MD, MPH,
Majken K. Jensen, PhD, Steve DeKosky, MD, and Hanno Steen, PhD. In addition, several collaborators with
complimentary areas of expertise will provide guidance and support. Dr. Koch will be fully equipped for a highly
productive career as an independent investigator utilizing epidemiological expertise and high-dimensional data
analysis to identify risk factors for dementia and its progression. Finally, with the advanced skills and
knowledge that this award would provide, Dr. Koch will be ideally situated to apply for future NIH funding to
identify and test novel risk modification strategies for dementia.

## Key facts

- **NIH application ID:** 10054497
- **Project number:** 1K01AG066817-01A1
- **Recipient organization:** HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH
- **Principal Investigator:** Manja Koch
- **Activity code:** K01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $110,541
- **Award type:** 1
- **Project period:** 2020-08-01 → 2025-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10054497

## Citation

> US National Institutes of Health, RePORTER application 10054497, Proteomics profiling and risk of dementia (1K01AG066817-01A1). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10054497. Licensed CC0.

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