In the US, the obesity crisis is severe?approximately 40% of American adults and 18.5% of American children are clinically obese. Robust evidence suggests that antibiotic overuse may be one contributing factor. The human gut microbiome is a key determinant of health and one crucial function of this community is to regulate host metabolism by fermenting host-indigestible dietary components. A significant body of work also indicates that in both humans and animals, antibiotic use ? and especially the use of penicillins and other ?-lactams ? is strongly associated with obesity. The mechanism of this antibiotic-associated weight gain is not fully understood, although many theories exist, ranging from the induction of systemic inflammation to the reduction of pathogen burden. Understanding how antibiotic-induced perturbations of the microbiome lead to complications such as obesity is an essential step towards alleviating this problem. The proposed work will contribute to this goal by defining the impacts of antibiotics on the metabolic environment of the murine gut, host metabolite availability, and weight gain. Antibiotics can disrupt the microbiome, but what is less appreciated is that this perturbation is associated with a disruption of the metabolic capacity of gut bacteria and a concomitant perturbation of the gut metabolome. The Belenky Lab has defined the impacts of several clinically-relevant antibiotics on the composition and transcriptional response of the murine microbiome. This previous work identified that antibiotics, specifically amoxicillin, change the composition, transcriptional activity, and the metabolome of the murine cecal microbiome. The resulting microbial community is metabolically deficient, enriched for Bacteroidetes, and devoid of Firmicutes. These changes are associated with reduced cecal glucose, reduced butyrate, elevated blood glucose, systemic inflammation, and weight gain. The core hypothesis of this work is that ?-lactam antibiotics contribute to inflammation and obesity by eliminating critical bacteria in the Firmicutes phylum, subsequently inducing metabolic dysfunction. The resulting metabolically-deficient gut microbiome is unable to provide critical nutrients and signaling molecules to reduce inflammation and regulate host metabolism. This hypothesis will be tested in the following three aims:
Aim 1 ? Determine the impact of clinically-relevant antibiotics on the metabolome and taxonomic composition of the murine gut, host physiology, and weight gain.
Aim 2 ? Utilize microbial consortia to determine if microbial composition associated with antibiotic therapy is linked to the detected metabolite shifts and host impacts.
Aim 3 ? Microbiome restoration and diet modulation to reduce antibiotic-induced perturbations of the gut metabolome and weight gain. The insight gained from this work will help to identify methodologies that reduce antibiotic-mediated microbiome disruption and may help to combat the obesity crisis. Antibiotics have been miracle drugs, but now that we understand the significant cost to microbiome function, we must find better ways to use them.

Public Health Relevance

The proposed research is highly relevant to public health because defining how antibiotic-mediated microbiome disruption contributes to complications such as obesity and diabetes may, in the long run, identify ways to alleviate these conditions for millions of Americans. This work will define the impacts of antibiotics on the metabolic environment of the murine gut, host metabolite availability and weight gain. In addition to generating fundamental scientific discoveries, this research will also fulfill NIH goals by generating a mechanistic perspective on how antibiotics contribute to diabetes, digestive diseases, nutritional disorders, and obesity.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Research Project (R01)
Project #
1R01DK125382-01
Application #
10031288
Study Section
Integrative Nutrition and Metabolic Processes Study Section (INMP)
Program Officer
Perrin, Peter J
Project Start
2020-08-01
Project End
2025-05-31
Budget Start
2020-08-01
Budget End
2021-05-31
Support Year
1
Fiscal Year
2020
Total Cost
Indirect Cost
Name
Brown University
Department
Type
DUNS #
001785542
City
Providence
State
RI
Country
United States
Zip Code
02912