# Characterizing the Contribution of Gut Microbiota to Metabolic Phenotypes: Alteration by Antibiotics and Transmission using Fecal Microbial Transplantation

> **NIH NIH U2C** · VANDERBILT UNIVERSITY · 2020 · $200,000

## Abstract

Abstract: To better understand the responses after antibiotic treatment in the 2017-2019 MWG, to contrast the
metabolic outcomes achieved by HFD- and Westernized-diet feeding, and to address practical considerations,
institutional limitations, and expected results for MMPC clients looking to implement FMT, we propose in Aim 1 to
comprehensively characterize the molecular impact of antibiotic treatment on intestinal inflammation and bile acid
metabolism; in Aim 2 to determine the effect of antibiotic treatment on expression of metabolic phenotypes in mice
maintained on a Westernized high fat, high sugar diet; and in Aim 3 to determine the efficacy of FMT into germ-free
mice as a tool for assessing the contribution of microbiota in (A) conferring protection or (B) conferring susceptibility
to obesity and related comorbidities. Completion of these Aims, of interest to the NIDDK, will further the MMPC
mission by providing data that will increase the rigor and reproducibility of investigator-initiated research studies.

## Key facts

- **NIH application ID:** 10239743
- **Project number:** 3U2CDK059637-20S1
- **Recipient organization:** VANDERBILT UNIVERSITY
- **Principal Investigator:** DAVID H WASSERMAN
- **Activity code:** U2C (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $200,000
- **Award type:** 3
- **Project period:** 2020-07-15 → 2021-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10239743

## Citation

> US National Institutes of Health, RePORTER application 10239743, Characterizing the Contribution of Gut Microbiota to Metabolic Phenotypes: Alteration by Antibiotics and Transmission using Fecal Microbial Transplantation (3U2CDK059637-20S1). Retrieved via AI Analytics 2026-05-27 from https://api.ai-analytics.org/grant/nih/10239743. Licensed CC0.

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