Different gastric microbiota compositions in two human populations with high and low gastric cancer risk in Colombia
Name
Yang-2016-Different Gastric.pdf
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Author(s)
Yang, Ines
Woltemate, Sabrina
Piazuelo, M. Blanca
Bravo, Luis E.
Yepez, Maria Clara
Romero-Gallo, Judith
Delgado, Alberto G.
Wilson, Keith T.
Peek, Richard M.
Correa, Pelayo
Date Issued
January 2016
Journal
Scientific Reports
Publisher
Nature Publishing Group
Citation
Yang, Ines, Sabrina Woltemate, M. Blanca Piazuelo, Luis E. Bravo, Maria Clara Yepez, Judith Romero-Gallo, Alberto G. Delgado, et al. “Different Gastric Microbiota Compositions in Two Human Populations with High and Low Gastric Cancer Risk in Colombia.” Scientific Reports 6 (January 5, 2016): 18594.
Version
Final published version
Abstract
Inhabitants of Túquerres in the Colombian Andes have a 25-fold higher risk of gastric cancer than inhabitants of the coastal town Tumaco, despite similar H. pylori prevalences. The gastric microbiota was recently shown in animal models to accelerate the development of H. pylori-induced precancerous lesions. 20 individuals from each town, matched for age and sex, were selected, and gastric microbiota analyses were performed by deep sequencing of amplified 16S rDNA. In parallel, analyses of H. pylori status, carriage of the cag pathogenicity island and assignment of H. pylori to phylogeographic groups were performed to test for correlations between H. pylori strain properties and microbiota composition. The gastric microbiota composition was highly variable between individuals, but showed a significant correlation with the town of origin. Multiple OTUs were detected exclusively in either Tumaco or Túquerres. Two operational taxonomic units (OTUs), Leptotrichia wadei and a Veillonella sp., were significantly more abundant in Túquerres, and 16 OTUs, including a Staphylococcus sp. were significantly more abundant in Tumaco. There was no significant correlation of H. pylori phylogeographic population or carriage of the cagPAI with microbiota composition. From these data, testable hypotheses can be generated and examined in suitable animal models and prospective clinical trials.
MIT Department
Massachusetts Institute of Technology. Department of Biological Engineering
Massachusetts Institute of Technology. Division of Comparative Medicine
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DOI of Published Version
https://doi.org/10.1038/srep18594
