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In utero human intestine harbors unique metabolome, including bacterial metabolites
Yujia Li, Jessica M. Toothaker, Shira Ben-Simon, Lital Ozeri, Ron Schweitzer, Blake T. McCourt, Collin C. McCourt, Lael Werner, Scott B. Snapper, Dror S. Shouval, Soliman Khatib, Omry Koren, Sameer Agnihorti, George Tseng, Liza Konnikova
Yujia Li, Jessica M. Toothaker, Shira Ben-Simon, Lital Ozeri, Ron Schweitzer, Blake T. McCourt, Collin C. McCourt, Lael Werner, Scott B. Snapper, Dror S. Shouval, Soliman Khatib, Omry Koren, Sameer Agnihorti, George Tseng, Liza Konnikova
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Research Article Gastroenterology Metabolism

In utero human intestine harbors unique metabolome, including bacterial metabolites

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Abstract

Symbiotic microbial colonization through the establishment of the intestinal microbiome is critical to many intestinal functions, including nutrient metabolism, intestinal barrier integrity, and immune regulation. Recent studies suggest that education of intestinal immunity may be ongoing in utero. However, the drivers of this process are unknown. The microbiome and its byproducts are one potential source. Whether a fetal intestinal microbiome exists is controversial, and whether microbially derived metabolites are present in utero is unknown. Here, we aimed to determine whether bacterial DNA and microbially derived metabolites can be detected in second trimester human intestinal samples. Although we were unable to amplify bacterial DNA from fetal intestines, we report a fetal metabolomic intestinal profile with an abundance of bacterially derived and host-derived metabolites commonly produced in response to microbiota. Though we did not directly assess their source and function, we hypothesize that these microbial-associated metabolites either come from the maternal microbiome and are vertically transmitted to the fetus to prime the fetal immune system and prepare the gastrointestinal tract for postnatal microbial encounters or are produced locally by bacteria that were below our detection threshold.

Authors

Yujia Li, Jessica M. Toothaker, Shira Ben-Simon, Lital Ozeri, Ron Schweitzer, Blake T. McCourt, Collin C. McCourt, Lael Werner, Scott B. Snapper, Dror S. Shouval, Soliman Khatib, Omry Koren, Sameer Agnihorti, George Tseng, Liza Konnikova

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Figure 3

Metabolite clustering.

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Metabolite clustering.
(A) Gap statistics from 200, 400, and all most va...
(A) Gap statistics from 200, 400, and all most variable metabolites (determined by median absolute deviation). (B) Prediction strength for 200, 400, and all most variable metabolites. (C) K-means clustering was performed to generate 3 subgroups that were comprised entirely of age-matched intestinal tissue. (D) Hierarchical clustering with Ward linkage of samples using all metabolites. (E) t-SNE plot using all metabolites.

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