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Published on: December 15, 2011
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Human metabolome variation along the upper intestinal tract
Jacob Folz1, Rebecca Neal Culver2, Juan Montes Morales1
1West Coast Metabolomics Center, University of California, Davis, CA, USA.
Nature Metabolism
|May 10, 2023
Summary
This study used an ingestible device to analyze upper intestinal contents, revealing how diet and gut microbes interact to shape metabolites. Findings highlight significant differences between intestinal and stool samples, impacting our understanding of human digestion.
Area of Science:
- Gastroenterology
- Metabolomics
- Microbiome Research
Background:
- The small intestine is crucial for processing diet, with metabolites arising from host secretions, ingested substances, and microbial activity.
- Understanding the dynamic changes in the upper intestinal environment is key to deciphering host-microbe-diet interactions.
Purpose of the Study:
- To investigate the spatiotemporal variations of metabolites in the upper intestinal lumen during normal digestion.
- To correlate these findings with dietary intake and microbial composition.
Main Methods:
- Utilized a non-invasive, ingestible sampling device to collect 274 intestinal and 60 stool samples.
- Employed five mass spectrometry assays and 16S rRNA sequencing for comprehensive metabolite and microbial analysis.
Main Results:
- Identified 1,909 metabolites, including novel sulfonolipids and fatty acid esters of hydroxy fatty acids (FAHFA).
- Observed significant differences between intestinal and stool metabolomes, with diet-derived and microbially influenced metabolites driving inter-individual variability.
- Linked luminal keto acids to fruit intake and identified potential roles for Blautia species in FAHFA metabolism.
Conclusions:
- Non-invasive in vivo sampling provides unprecedented insights into human small intestinal and ascending colon physiology.
- Demonstrated clear links between diet, host, and microbial metabolism within the upper gastrointestinal tract.
- Highlighted the impact of factors like antibiotic use on bioactive metabolite profiles.

