# Ribosome Heterogeneity as a Mechanism for Metabolic Regulation - Research Supplement to Promote Diversity in Health-Related Research

> **NIH NIH DP1** · JOSLIN DIABETES CENTER · 2022 · $56,644

## Abstract

PROJECT SUMMARY/ABSTRACT
The current epidemic of obesity and metabolic syndrome has been linked to alterations in diet and lifestyle.
Although human tissues demonstrate remarkable metabolic plasticity in response to physical activity and
dietary exposures, our understanding of the mechanisms that underlie the beneficial or deleterious effects of
exercise or nutrient exposures on skeletal muscle and hepatic metabolism are incomplete. The goal of this
study is to uncover new mechanisms that underlie enhanced skeletal muscle insulin sensitivity following an
acute bout of exercise and changes in hepatic glucose homeostasis and insulin sensitivity in high fat diet and
time-restricted feeding paradigms. I will test the radically novel hypothesis that remodeling of ribosomes in
these tissues rapidly generates changes in the proteome and serves as a mechanism for metabolic plasticity.
This work will advance our understanding of how environmental cues shape metabolic physiology and has the
potential to identify new targets for preventive therapies aimed at improving human metabolic fitness.

## Key facts

- **NIH application ID:** 10497545
- **Project number:** 3DP1DK119141-04S1
- **Recipient organization:** JOSLIN DIABETES CENTER
- **Principal Investigator:** JEAN E. SCHAFFER
- **Activity code:** DP1 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $56,644
- **Award type:** 3
- **Project period:** 2018-09-01 → 2023-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10497545

## Citation

> US National Institutes of Health, RePORTER application 10497545, Ribosome Heterogeneity as a Mechanism for Metabolic Regulation - Research Supplement to Promote Diversity in Health-Related Research (3DP1DK119141-04S1). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10497545. Licensed CC0.

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