Depicting the composition of gut microbiota in a population with varied ethnic origins but shared geography
Open accessAbstract
Trillions of microorganisms inhabit the human gut and are regarded as potential key factors for health 1,2. Characteristics such as diet, lifestyle, or genetics can shape the composition of the gut microbiota 2-6 and are usually shared by individuals from comparable ethnic origin. So far, most studies assessing how ethnicity relates to the intestinal microbiota compared small groups living at separate geographical locations 7-10. Using fecal 16S ribosomal RNA gene sequencing in 2,084 participants of the Healthy Life in an Urban Setting (HELIUS) study 11,12, we show that individuals living in the same city tend to share similar gut microbiota characteristics with others of their ethnic background. Ethnicity contributed to explain the interindividual dissimilarities in gut microbiota composition, with three main poles primarily characterized by operational taxonomic units (OTUs) classified as Prevotella (Moroccans, Turks, Ghanaians), Bacteroides (African Surinamese, South-Asian Surinamese), and Clostridiales (Dutch). The Dutch exhibited the greatest gut microbiota α-diversity and the South-Asian Surinamese the smallest, with corresponding enrichment or depletion in numerous OTUs. Ethnic differences in α-diversity and interindividual dissimilarities were independent of metabolic health and only partly explained by ethnic-related characteristics including sociodemographic, lifestyle, or diet factors. Hence, the ethnic origin of individuals may be an important factor to consider in microbiome research and its potential future applications in ethnic-diverse societies.
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Ethnicity alone accounts for about 6% of interindividual variance.
“Even within a single continent, country-specific differences persist; ethnicity alone accounts for about 6% of interindividual variance, and migration studies show that acculturation rapidly shifts the microbiome toward the host country’s profile.69–72”
From Gut dysbiosis in oncology: a risk factor for immunoresistance (2026) · cites this paper as [69]
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- Authors
- Deschasaux, M., Bouter, K. E., Prodan, A., Levin, E., Groen, A. K., Herrema, H., Tremaroli, V., Bakker, G. J., Attaye, I., Pinto-Sietsma, S.-J., van Raalte, D. H., Snijder, M. B., Nicolaou, M., Peters, R., Zwinderman, A. H., Bäckhed, F., & Nieuwdorp, M.
- Affiliations
- Amsterdam UMC Location University of Amsterdam (NL)
- University of Gothenburg (SE)
- University of Copenhagen (DK)
- Corresponding author
- Deschasaux, Mélanie
- Nieuwdorp, Max
- ORCID
- Venue
- Nature Medicine
- Published
- 2018-08-27
- Volume
- 24
- Issue
- 10
- Pages
- 1526-1531
- ISSN
- 1078-8956 (ISSN-L)
- 1546-170X
- OpenAlex
- W2886557383
- Cited by
- 695
- References
- 52
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- FWCI
- 28.72
- Type
- journal article
- Language
- en
- Open access
- green
- pure.amsterdamumc.nl
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- other-oa
- www.springer.com/tdm (tdm)
- Locations
- Nature Medicine (publishedVersion)
- PubMed (publishedVersion)
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- HAL (submittedVersion)
- HAL (submittedVersion, other-oa)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (submittedVersion)
- Funders
- European Commission (708193)
- Agence Nationale de la Recherche (ANR-17-HDIM-0006)
- ZonMw (016.146.327)
- Novo Nordisk
- Novo Nordisk Fonden (NNF15OC0016798)
- H2020 Marie Skłodowska-Curie Actions (708193)
- FP7 Ideas: European Research Council (615362)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
- Health Sciences › Nursing › Nutrition and Dietetics › Infant Nutrition and Health
- Keywords
- gut microbiota, ethnicity, microbiota composition, alpha diversity, Prevotella, Bacteroides, Clostridiales, urban population, sociodemographic factors, diet, metabolic health, HELIUS cohort, ethnic diversity
- MeSH terms
- Eubacteriales, Gastrointestinal Microbiome, Africa, Bacteroides, Ethnicity, Feces, Female, Genetics, Population, Humans, Male, Netherlands, Risk Factors, RNA, Ribosomal, 16S, Microbiota
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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