# Alcohol-induced skeletal muscle dysregulation in SIV/HIV: Mitochondrial-mediated mechanisms

> **NIH NIH F32** · LSU HEALTH SCIENCES CENTER · 2021 · $22,725

## Abstract

Project summary
The purpose of this supplement is to provide additional time for the completion of the NRSA individual fellowship
titled “Alcohol-induced skeletal muscle dysregulation in SIV/HIV: Mitochondrial-mediated mechanisms”,
F32AA027982 after significant disruption due to the COVID-19 pandemic. At-risk alcohol use among people
living with HIV (PLWH) is nearly twice that in the general population. Chronic at-risk alcohol use and HIV/SIV
are independently associated with metabolic comorbidities including skeletal muscle (SKM) dysfunction. Based
on our published and preliminary data, the global hypothesis of this work is that decreased peroxisome
proliferator activated receptor gamma coactivator (PGC)-1β underlies chronic binge alcohol (CBA)-mediated
decreases in mitochondrial biogenesis and function in SKM of SIV+ female rhesus macaques and that PGC-1β
is a potential therapeutic target to improve mitochondrial homeostasis. Data generated will provide a more
comprehensive molecular understanding of mitochondrial dysfunction in the context of HIV and alcohol and will
provide a foundation for future mechanistic and translational studies.

## Key facts

- **NIH application ID:** 10396702
- **Project number:** 3F32AA027982-02S1
- **Recipient organization:** LSU HEALTH SCIENCES CENTER
- **Principal Investigator:** Danielle E Levitt
- **Activity code:** F32 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $22,725
- **Award type:** 3
- **Project period:** 2021-07-01 → 2021-11-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10396702

## Citation

> US National Institutes of Health, RePORTER application 10396702, Alcohol-induced skeletal muscle dysregulation in SIV/HIV: Mitochondrial-mediated mechanisms (3F32AA027982-02S1). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10396702. Licensed CC0.

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