Linking Long-Term Dietary Patterns with Gut Microbial Enterotypes

By Gary D. Wu, Jun Chen, Christian Hoffmann, Kyle Bittinger, Ying-Yu Chen, S. Keilbaugh, M. Bewtra, Dan Knights, William Walters, Rob Knight and 8 more. Science, 2011

6,166 citations recorded by the source corpus.

The basic composition of the human gut microbiome is influenced by long-term diet: high fat and protein versus high fiber. Diet strongly affects human health, partly by modulating gut microbiome composition. We used diet inventories and 16S rDNA sequencing to characterize fecal samples from 98 individuals. Fecal communities clustered into enterotypes distinguished primarily by levels of Bacteroides and Prevotella. Enterotypes were strongly associated with long-term diets, particularly protein and animal fat (Bacteroides) versus carbohydrates (Prevotella). A controlled-feeding study of 10 subjects showed that microbiome composition changed detectably within 24 hours of initiating a high-fat/low-fiber or low-fat/high-fiber diet, but that enterotype identity remained stable during the 10-day study. Thus, alternative enterotype states are associated with long-term diet.

Subfields: Molecular Biology, Physiology, Public Health, Environmental and Occupational Health

View Paper: https://www.semanticscholar.org/paper/9c50c0bd263f181d4c2ff74b99f433cc2c6b1066

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Citations in the corpus

Starving our Microbial Self: The Deleterious Consequences of a Diet Deficient in Microbiota-Accessible Carbohydrates (2014, positive): “Multiple studies have shown that diet can serve as a selective potent force in reshaping themicrobiota (David et al., 2014; Walker et al., 2011; Wu et al., 2011).”
The Effects of Vegetarian and Vegan Diets on Gut Microbiota (2019, background): “Dietary composition appears to have long-term and acute effects on the gut microbiota ecosystem (19, 20).”
U.S. immigration westernizes the human gut microbiome (2018, positive): “The gut microbiome plays a critical role in host metabolism and is heavily influenced by an individual’s long-term diet (Hildebrandt et al., 2009; Wu et al., 2011) and can also respond quickly to dramatic dietary changes (David et al., 2014; Turnbaugh et al., 2009a).”
Correlation between intraluminal oxygen gradient and radial partitioning of intestinal microbiota. (2014, background): “state within 24 hours of the dietary intervention, there were no consistent taxonomic alterations associated with this dietary intervention (ie, intersubject variability remained the largest source of variance).(3) However, the mucosally associated microbiota in the rectal biopsy specimens was found”
Mechanisms and consequences of intestinal dysbiosis (2017, background): “In the long term, high uptake of animal proteins, amino acids and fats increases the relative amounts of Bacteroides, whereas low protein and elevated carbohydrate ingestion raises Prevotella levels [37, 38].”
Human genetics shape the gut microbiome. (2014, neutral): “However, we did not find a relationship between Christensenellaceae and diet information in human studies (Wu et al., 2011; Martı́nez et al., 2010; Koren et al., 2012).”
Host remodeling of the gut microbiome and metabolic changes during pregnancy. (2012, background): “Additionally, although we used the same techniques that have previously shown relationships between OTU abundances and components of the diet (Wu et al., 2011), we did not detect any significant relationships between aspects of the microbiota and our diet records either within or between trimesters ”
Effect of Diet on the Gut Microbiota: Rethinking Intervention Duration (2019, methodology): “Likewise, mouse models have indicated that manipulation of macronutrient intake can consistently shift the composition of the gut microbiota within the span of a day [5,6,18,19].”
LinDA: linear models for differential abundance analysis of microbiome compositional data (2021, methodology): “i , σ 2 i , and N s were generated based on the estimation for a real dataset (COMBO) from the study of the gut microbiota in a general population [45], which consists of 98 samples and 6674 taxa.”
Non-lethal inhibition of gut microbial trimethylamine production for the treatment of atherosclerosis (2015, background): “Nonetheless, the gut microbiome is known to be remarkably dynamic and adaptive, including changes in response to different dietary inputs, as well as the presence versus absence of distinct diseases (Cox et al., 2014; Koren et al., 2011; Wu et al., 2011).”