Gut microbiota shift in Ghanaian individuals along the migration axis: the RODAM-Pros cohort
Migration is associated with a substantial change in environmental exposures and health outcomes. We aimed to investigate the shift in gut microbiota composition and the associations with cardiometabolic outcomes in the RODAM-Pros cohort spanning multiple research sites across continents. We determi...
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Published in | Gut microbes Vol. 17; no. 1; p. 2471960 |
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Main Authors | , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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United States
Taylor & Francis
01.12.2025
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ISSN | 1949-0976 1949-0984 1949-0984 |
DOI | 10.1080/19490976.2025.2471960 |
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Abstract | Migration is associated with a substantial change in environmental exposures and health outcomes. We aimed to investigate the shift in gut microbiota composition and the associations with cardiometabolic outcomes in the RODAM-Pros cohort spanning multiple research sites across continents. We determined gut microbiota composition of 1,177 Ghanaian participants in rural Ghana, urban Ghana, and Amsterdam, the Netherlands, using 16S rRNA sequencing. We observed a clear gradient in gut microbiota composition and alpha and beta diversity from rural Ghana to urban Ghana, to Amsterdam. We used pairwise XGBoost machine learning classification models to identify which microbes were most distinct between locations in prevalence and abundance. The associations between these microbes and the locations could partly be explained by differences in confounders such as dietary intake. Groups of microbes that emerged or disappeared along the migration axis were associated with cardiometabolic outcomes, including higher body mass index, higher HbA1c and higher diastolic blood pressure. Concluding, we identified associations between a shift in gut microbiota composition and cardiometabolic risk along the migration axis, underscoring the relevance of gut health in the context of migration-associated adverse health outcomes. |
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AbstractList | Migration is associated with a substantial change in environmental exposures and health outcomes. We aimed to investigate the shift in gut microbiota composition and the associations with cardiometabolic outcomes in the RODAM-Pros cohort spanning multiple research sites across continents. We determined gut microbiota composition of 1,177 Ghanaian participants in rural Ghana, urban Ghana, and Amsterdam, the Netherlands, using 16S rRNA sequencing. We observed a clear gradient in gut microbiota composition and alpha and beta diversity from rural Ghana to urban Ghana, to Amsterdam. We used pairwise XGBoost machine learning classification models to identify which microbes were most distinct between locations in prevalence and abundance. The associations between these microbes and the locations could partly be explained by differences in confounders such as dietary intake. Groups of microbes that emerged or disappeared along the migration axis were associated with cardiometabolic outcomes, including higher body mass index, higher HbA1c and higher diastolic blood pressure. Concluding, we identified associations between a shift in gut microbiota composition and cardiometabolic risk along the migration axis, underscoring the relevance of gut health in the context of migration-associated adverse health outcomes. Migration is associated with a substantial change in environmental exposures and health outcomes. We aimed to investigate the shift in gut microbiota composition and the associations with cardiometabolic outcomes in the RODAM-Pros cohort spanning multiple research sites across continents. We determined gut microbiota composition of 1,177 Ghanaian participants in rural Ghana, urban Ghana, and Amsterdam, the Netherlands, using 16S rRNA sequencing. We observed a clear gradient in gut microbiota composition and alpha and beta diversity from rural Ghana to urban Ghana, to Amsterdam. We used pairwise XGBoost machine learning classification models to identify which microbes were most distinct between locations in prevalence and abundance. The associations between these microbes and the locations could partly be explained by differences in confounders such as dietary intake. Groups of microbes that emerged or disappeared along the migration axis were associated with cardiometabolic outcomes, including higher body mass index, higher HbA1c and higher diastolic blood pressure. Concluding, we identified associations between a shift in gut microbiota composition and cardiometabolic risk along the migration axis, underscoring the relevance of gut health in the context of migration-associated adverse health outcomes.Migration is associated with a substantial change in environmental exposures and health outcomes. We aimed to investigate the shift in gut microbiota composition and the associations with cardiometabolic outcomes in the RODAM-Pros cohort spanning multiple research sites across continents. We determined gut microbiota composition of 1,177 Ghanaian participants in rural Ghana, urban Ghana, and Amsterdam, the Netherlands, using 16S rRNA sequencing. We observed a clear gradient in gut microbiota composition and alpha and beta diversity from rural Ghana to urban Ghana, to Amsterdam. We used pairwise XGBoost machine learning classification models to identify which microbes were most distinct between locations in prevalence and abundance. The associations between these microbes and the locations could partly be explained by differences in confounders such as dietary intake. Groups of microbes that emerged or disappeared along the migration axis were associated with cardiometabolic outcomes, including higher body mass index, higher HbA1c and higher diastolic blood pressure. Concluding, we identified associations between a shift in gut microbiota composition and cardiometabolic risk along the migration axis, underscoring the relevance of gut health in the context of migration-associated adverse health outcomes. |
Author | Owusu-Dabo, Ellis Meeks, Karlijn A.C. van den Born, Bert-Jan H. Darko, Samuel N. Beune, Erik Henneman, Peter Twumasi-Ankrah, Sampson Agyemang, Charles Verhaar, Barbara J. H. Nieuwdorp, Max Herrema, Hilde van der Linden, Eva L. Hayfron-Benjamin, Charles F. |
Author_xml | – sequence: 1 givenname: Barbara J. H. orcidid: 0000-0001-7941-6110 surname: Verhaar fullname: Verhaar, Barbara J. H. – sequence: 2 givenname: Eva L. orcidid: 0000-0002-4037-1717 surname: van der Linden fullname: van der Linden, Eva L. – sequence: 3 givenname: Charles F. orcidid: 0000-0002-2280-7169 surname: Hayfron-Benjamin fullname: Hayfron-Benjamin, Charles F. – sequence: 4 givenname: Ellis orcidid: 0000-0003-4232-4292 surname: Owusu-Dabo fullname: Owusu-Dabo, Ellis – sequence: 5 givenname: Samuel N. orcidid: 0000-0002-0750-4311 surname: Darko fullname: Darko, Samuel N. – sequence: 6 givenname: Sampson orcidid: 0000-0003-2196-0310 surname: Twumasi-Ankrah fullname: Twumasi-Ankrah, Sampson – sequence: 7 givenname: Peter orcidid: 0000-0003-2179-7808 surname: Henneman fullname: Henneman, Peter – sequence: 8 givenname: Erik orcidid: 0000-0002-6229-0256 surname: Beune fullname: Beune, Erik – sequence: 9 givenname: Karlijn A.C. orcidid: 0000-0003-3032-405X surname: Meeks fullname: Meeks, Karlijn A.C. – sequence: 10 givenname: Max orcidid: 0000-0002-1926-7659 surname: Nieuwdorp fullname: Nieuwdorp, Max – sequence: 11 givenname: Hilde surname: Herrema fullname: Herrema, Hilde – sequence: 12 givenname: Bert-Jan H. orcidid: 0000-0003-0943-4393 surname: van den Born fullname: van den Born, Bert-Jan H. – sequence: 13 givenname: Charles orcidid: 0000-0001-7515-8214 surname: Agyemang fullname: Agyemang, Charles |
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SubjectTerms | Adult Bacteria - classification Bacteria - genetics Bacteria - isolation & purification Cohort Studies Feces - microbiology Female Gastrointestinal Microbiome - genetics Ghana - epidemiology Gut microbiota Human Migration Humans machine learning Male Middle Aged migration Netherlands Research Paper RNA, Ribosomal, 16S - genetics Rural Population Urban Population urbanization |
Title | Gut microbiota shift in Ghanaian individuals along the migration axis: the RODAM-Pros cohort |
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