Journal
CELL METABOLISM
Volume 25, Issue 5, Pages 1054-+Publisher
CELL PRESS
DOI: 10.1016/j.cmet.2017.04.001
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Funding
- American Gastroenterological Association (AGA) Foundation - Sucampo - ASP Designated Research Award in Geriatric Gastroenterology
- T. Franklin Williams Scholarship Award
- National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) [5T32DK007202]
- Atlantic Philanthropies
- John A. Hartford Foundation, OM
- Association of Specialty Professors
- American Gastroenterological Association [K23DK090303]
- Human Longevity
- National Institute of Environmental Health Sciences of the NIH [P42ES010337]
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The presence of advanced fibrosis in nonalcoholic fatty liver disease (NAFLD) is the most important predictor of liver mortality. There are limited data on the diagnostic accuracy of gut microbiota-derived signature for predicting the presence of advanced fibrosis. In this prospective study, we characterized the gut microbiome compositions using wholegenome shotgun sequencing of DNA extracted from stool samples. This study included 86 uniquely well-characterized patients with biopsy-proven NAFLD, of which 72 had mild/moderate (stage 0-2 fibrosis) NAFLD, and 14 had advanced fibrosis (stage 3 or 4 fibrosis). We identified a set of 40 features (p < 0.006), which included 37 bacterial species that were used to construct a Random Forest classifier model to distinguish mild/moderate NAFLD from advanced fibrosis. The model had a robust diagnostic accuracy (AUC 0.936) for detecting advanced fibrosis. This study provides preliminary evidence for a fecal-microbiome-derived metagenomic signature to detect advanced fibrosis in NAFLD.
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