# Environment Exposure & Neurotoxicology Core

> **NIH NIH P01** · UNIVERSITY OF SOUTHERN CALIFORNIA · 2022 · $232,314

## Abstract

Environmental Exposures and Neurotoxicology Core (Core C)
Director, C Sioutas, Co-Directors: JC Chen and H Forman
Abstract
The Environmental Exposures and Neurotoxicology Core C, directed by C. Sioutas, includes three supporting
subcores to serve the proposed scientific projects, through the provision of the residence-specific exposure
estimates in populations, standardization of the inhalation exposure experiments in animal models, and
analyses of the neurotoxic responses to traffic-related air pollution (TRAP). SubCore C1, Environmental Data
Support (coDir: JC Chen) provides Projects 1 and 2 with individual-level, location-specific estimates of long-
term TRAP exposure, using state-of-the-art spatio-temporal modeling approaches harmonized across two
human population-based cohorts. Subcore C2, Collection of TRAP-nPM (Dir: C.Sioutas) supplies
experimental Projects 3 and 4 with well-characterized TRAP inhalation exposure atmospheres. TRAP are
sampled near urban sites impacted by traffic emissions. SubCore C3, Brain Cell Responses to TRAP-PM
(coDir: H. Forman) (i) tests individual batches of collected nPM using THP-1 cells for cytokine expression; and
(ii) Western blot assay of brain protein changes to in vivo nPM exposure for Projects 3 & 4.

## Key facts

- **NIH application ID:** 10456751
- **Project number:** 5P01AG055367-05
- **Recipient organization:** UNIVERSITY OF SOUTHERN CALIFORNIA
- **Principal Investigator:** Constantinos Sioutas
- **Activity code:** P01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $232,314
- **Award type:** 5
- **Project period:** 2018-07-01 → 2025-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10456751

## Citation

> US National Institutes of Health, RePORTER application 10456751, Environment Exposure & Neurotoxicology Core (5P01AG055367-05). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10456751. Licensed CC0.

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