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Population-based metagenomics analysis reveals markers for gut microbiome composition and diversity

2016· article· en· 1,951 citations· W2344543878 on OpenAlex· 10.1126/science.aad3369

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A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

Canadian affiliationAn author listed a Canadian institution. This is the only route the usual frame has.

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Opus teacher head0.011
GPT teacher head0.264
Teacher spread
0.253 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

Deep sequencing of the gut microbiomes of 1135 participants from a Dutch population-based cohort shows relations between the microbiome and 126 exogenous and intrinsic host factors, including 31 intrinsic factors, 12 diseases, 19 drug groups, 4 smoking categories, and 60 dietary factors. These factors collectively explain 18.7% of the variation seen in the interindividual distance of microbial composition. We could associate 110 factors to 125 species and observed that fecal chromogranin A (CgA), a protein secreted by enteroendocrine cells, was exclusively associated with 61 microbial species whose abundance collectively accounted for 53% of microbial composition. Low CgA concentrations were seen in individuals with a more diverse microbiome. These results are an important step toward a better understanding of environment-diet-microbe-host interactions.

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The record

Venue
Science
Topic
Gut microbiota and health
Field
Biochemistry, Genetics and Molecular Biology
Canadian institutions
Centre for Global Health Research
Funders
National Institute of Diabetes and Digestive and Kidney DiseasesSeventh Framework ProgrammeNederlandse Organisatie voor Wetenschappelijk OnderzoekH2020 European Research CouncilSeres Therapeutics
Keywords
MetagenomicsGut microbiomeMicrobiomeBiologyFecesGut floraPopulationComposition (language)ZoologyComputational biologyEcologyBioinformaticsImmunologyGeneticsMedicineGeneEnvironmental health
Has abstract in OpenAlex
yes