# The Gut Microbiome and The Metabolome in Chronic Kidney Disease

> **NIH NIH R01** · TULANE UNIVERSITY OF LOUISIANA · 2020 · $364,305

## Abstract

Chronic kidney disease (CKD) may alter the homeostatic relationship between human hosts and their
intestinal tract microbial inhabitants (i.e., the gut microbiota) due to the enhanced delivery of urea to
the gut microbiota, alterations in diet, and the decrease in urinary excretion of small molecules
produced by the gut microbiota. As a result, both the composition of the gut microbiota and its
metabolite byproducts may be altered in patients with CKD. We propose a set of inter-related specific
aims to examine the association between CKD, gut microbiota and the fecal metabolome, the plasma
metabolome, and the development of clinical outcomes using a longitudinal prospective cohort within
the Chronic Renal Insufficiency Cohort (CRIC) Study. In addition, we propose a small interventional
study to eradicate and then re-populate the gut microbiota among an additional population of CKD
patients to identify gut-derived byproducts that accumulate in the systemic circulation. The results of
our study will provide new insights into interventions, such as modulation of diet, that may alter the
metabolome of the gut microbiota to help prevent and/or treat diseases associated with the
development of CKD.

## Key facts

- **NIH application ID:** 9980882
- **Project number:** 5R01DK107566-06
- **Recipient organization:** TULANE UNIVERSITY OF LOUISIANA
- **Principal Investigator:** Amanda Hyre Anderson
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $364,305
- **Award type:** 5
- **Project period:** 2016-09-20 → 2023-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9980882

## Citation

> US National Institutes of Health, RePORTER application 9980882, The Gut Microbiome and The Metabolome in Chronic Kidney Disease (5R01DK107566-06). Retrieved via AI Analytics 2026-05-26 from https://api.ai-analytics.org/grant/nih/9980882. Licensed CC0.

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