# Cannabis, HIV and Mental Processing Systems (CHAMPS)

> **NIH NIH R01** · WASHINGTON UNIVERSITY · 2022 · $602,794

## Abstract

ABSTRACT/PROJECT SUMMARY
This proposal employs novel methods to identify key determinants and consequences of concurrent HIV
infection and regular cannabis use. We will acquire extensive phenotype data from peripheral and brain
markers of immune activation, brain structure, and neuropsychological performance (NP) in persons living
with HIV (PLWH) receiving combination anti-retroviral therapy (cART) (80 regular cannabis users and 80
non-users) and HIV uninfected (HIV-) controls (80 regular cannabis users and 80 non-users). Our overall
hypothesis is that cannabis use leads to increases in inflammation in the peripheral and brain compartments.
We also hypothesize that phenotypic signatures due to regular cannabis use and HIV will be delineated through
NP and brain volumetrics. In Aim 1 we hypothesize that regular cannabis use will increase both peripheral and
brain immune indices in PLWH on cART. In Aim 2 we hypothesize that regular cannabis use will lead to a
worsening of NP and reductions in brain volumetrics in both PLWH on cART and HIV- controls. This proposal
will provide key insights into the effects of regular cannabis and HIV on peripheral and brain markers of
immune function and NP in PLWH and HIV- controls. These insights are critical for cure strategies and
ongoing HIV treatment initiatives.

## Key facts

- **NIH application ID:** 10458095
- **Project number:** 5R01DA054009-02
- **Recipient organization:** WASHINGTON UNIVERSITY
- **Principal Investigator:** Beau M Ances
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $602,794
- **Award type:** 5
- **Project period:** 2021-08-01 → 2026-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10458095

## Citation

> US National Institutes of Health, RePORTER application 10458095, Cannabis, HIV and Mental Processing Systems (CHAMPS) (5R01DA054009-02). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10458095. Licensed CC0.

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