# Molecular Profiling of Schizophrenia

> **NIH NIH R01** · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · 2020 · $423,479

## Abstract

PROJECT ABSTRACT
Neuropsychiatric symptoms (NPS) are core features of Alzheimer’s disease (AD) that contribute to early
institutionalization and cause substantial caregiving and caregiver burden. Very few studies have examined AD-
NPS and, so far, reliable treatments for NPS have not been found. Therefore, a better understanding of the
molecular mechanisms and pathways underlying AD-NPS is a logical next step to identify reliable biomarkers
that could lead to the development of effective therapeutics. Given that AD-NPS share some clinical features
with serious mental illnesses (SMIs), such as schizophrenia and bipolar disorder, with this administrative
supplement we seek funding to expand the efforts of the parent grant to study AD-NPS. More specifically, the
parent grant is part of the psychENCODE and its goal is to perform multiscale integration of genomics and
phenomics data by analyzing a large cohort of autopsy cases that covers the spectrum of SMI. Here, we would
like to expand these efforts by adding AD and NPS-related phenotypes to our current analysis and by performing
single cell profiling in additional cases to further enhance statistical power to detect molecular underpinning of
AD-NPS.

## Key facts

- **NIH application ID:** 10123706
- **Project number:** 3R01MH110921-04S1
- **Recipient organization:** ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI
- **Principal Investigator:** Andrew J Chess
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $423,479
- **Award type:** 3
- **Project period:** 2016-09-07 → 2020-12-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10123706

## Citation

> US National Institutes of Health, RePORTER application 10123706, Molecular Profiling of Schizophrenia (3R01MH110921-04S1). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10123706. Licensed CC0.

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