# Identification and characterization of molecular subtypes of Alzheimer's disease associated with cognitive function through cross-omics data integration

> **NIH NIH K25** · WASHINGTON UNIVERSITY · 2024 · $148,581

## Abstract

Project Summary/Abstract
The goal of this mentored career development award is to provide a robust course of training in the biology of
neurodegeneration and aging for Dr. Eteleeb, Ph.D., a candidate with extensive experience in genomics, omics,
and machine learning, to enable his transition to research independence. Washington University School of
Medicine is a nationally recognized leader in medical research and provides an outstanding environment for the
candidate’s training with world-renowned figures in the fields of Alzheimer’s disease (AD) and aging. This
proposal will be conducted under the mentorship of an excellent interdisciplinary team of leaders with extensive
and complementary sets of expertise in AD, aging, neuroscience, genetics, and cross-omics who are dedicated
to support Dr. Eteleeb in completing his research and training goals proposed in this award. With the guidance
of this team, Dr. Eteleeb will pursue a rigorous training program to address gaps in his knowledge and allow him
to accomplish the aims of this K25 award. The training objectives will focus on Dr. Eteleeb’s transition into the
field of AD and aging and include 1) acquire a strong foundation in neurology, clinical, and neuropathology
aspects of AD and related dementias, 2) learn and employ novel ways to identify molecular subtypes of AD and
specific biomarkers associated with cognitive function, followed by validation techniques in humans and model
organisms, 3) gain in-depth understanding of the genetic and epigenetic factors affecting AD molecular
subtypes, and 4) develop leadership and professional skills for leading an independent lab focused on
transitional research in AD and aging. These objectives will be accomplished through courses, workshops,
seminars, journal clubs, conferences, and feedback from the advisory committee. The primary objective of the
proposed research is to identify and characterize molecular subtypes of AD associated with cognitive function
by employing an innovative approach that combines cross-omics and machine learning. AD is a heterogeneous
neurodegenerative disorder affecting over 50 million individuals worldwide. One critical and often overlooked
factor impeding development of effective treatment for AD is the clinical and molecular heterogeneity among AD
patients. Cross-omics approaches integrate heterogeneous molecular profiles to study not only how these
profiles change in AD, but also uncover relationships and correlations between biological molecules. The specific
proposed research aims are 1) identify and characterize cross-omics AD molecular subtypes associated with
cognitive function conserved across cohorts and brain regions, 2) Determine whether molecular subtypes are
specific to AD or present in other neurodegenerative disorders, and 3) identify CSF/blood-based biomarkers
from AD molecular subtypes. The results will reveal insights into AD subpopulations and identify AD molecular
subtypes, pathways, and biomarkers, which...

## Key facts

- **NIH application ID:** 10900625
- **Project number:** 5K25AG083057-02
- **Recipient organization:** WASHINGTON UNIVERSITY
- **Principal Investigator:** Abdallah M Eteleeb
- **Activity code:** K25 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $148,581
- **Award type:** 5
- **Project period:** 2023-08-15 → 2028-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10900625

## Citation

> US National Institutes of Health, RePORTER application 10900625, Identification and characterization of molecular subtypes of Alzheimer's disease associated with cognitive function through cross-omics data integration (5K25AG083057-02). Retrieved via AI Analytics 2026-05-28 from https://api.ai-analytics.org/grant/nih/10900625. Licensed CC0.

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