Differences in gut microbiota between Dutch and South-Asian Surinamese: potential implications for type 2 diabetes mellitus.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
26 Feb 2024
Historique:
received: 08 10 2023
accepted: 16 02 2024
medline: 26 2 2024
pubmed: 26 2 2024
entrez: 25 2 2024
Statut: epublish

Résumé

Gut microbiota, or the collection of diverse microorganisms in a specific ecological niche, are known to significantly impact human health. Decreased gut microbiota production of short-chain fatty acids (SCFAs) has been implicated in type 2 diabetes mellitus (T2DM) disease progression. Most microbiome studies focus on ethnic majorities. This study aims to understand how the microbiome differs between an ethnic majority (the Dutch) and minority (the South-Asian Surinamese (SAS)) group with a lower and higher prevalence of T2DM, respectively. Microbiome data from the Healthy Life in an Urban Setting (HELIUS) cohort were used. Two age- and gender-matched groups were compared: the Dutch (n = 41) and SAS (n = 43). Microbial community compositions were generated via DADA2. Metrics of microbial diversity and similarity between groups were computed. Biomarker analyses were performed to determine discriminating taxa. Bacterial co-occurrence networks were constructed to examine ecological patterns. A tight microbiota cluster was observed in the Dutch women, which overlapped with some of the SAS microbiota. The Dutch gut contained a more interconnected microbial ecology, whereas the SAS network was dispersed, i.e., contained fewer inter-taxonomic correlational relationships. Bacteroides caccae, Butyricicoccus, Alistipes putredinis, Coprococcus comes, Odoribacter splanchnicus, and Lachnospira were enriched in the Dutch gut. Haemophilus, Bifidobacterium, and Anaerostipes hadrus discriminated the SAS gut. All but Lachnospira and certain strains of Haemophilus are known to produce SCFAs. The Dutch gut microbiome was distinguished from the SAS by diverse, differentially abundant SCFA-producing taxa with significant cooperation. The dynamic ecology observed in the Dutch was not detected in the SAS. Among several potential gut microbial biomarkers, Haemophilus parainfluenzae likely best characterizes the ethnic minority group, which is more predisposed to T2DM. The higher prevalence of T2DM in the SAS may be associated with the gut dysbiosis observed.

Identifiants

pubmed: 38403716
doi: 10.1038/s41598-024-54769-4
pii: 10.1038/s41598-024-54769-4
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

4585

Subventions

Organisme : ZONMW-VICI
ID : 09150182010020

Informations de copyright

© 2024. The Author(s).

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Auteurs

Eric I Nayman (EI)

Department of Human and Molecular Genetics, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA. enaym001@fiu.edu.
Bioinformatics Research Group, Knight Foundation School of Computing and Information Sciences, College of Engineering and Computing, Florida International University, Miami, FL, USA. enaym001@fiu.edu.

Brooke A Schwartz (BA)

Department of Human and Molecular Genetics, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA.
Bioinformatics Research Group, Knight Foundation School of Computing and Information Sciences, College of Engineering and Computing, Florida International University, Miami, FL, USA.

Michaela Polmann (M)

Department of Human and Molecular Genetics, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA.

Alayna C Gumabong (AC)

Department of Human and Molecular Genetics, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA.
Bioinformatics Research Group, Knight Foundation School of Computing and Information Sciences, College of Engineering and Computing, Florida International University, Miami, FL, USA.

Max Nieuwdorp (M)

Amsterdam Diabetes Center, Department of Internal Medicine, Academic Medical Center, VU University Medical Center, Amsterdam, The Netherlands.

Trevor Cickovski (T)

Bioinformatics Research Group, Knight Foundation School of Computing and Information Sciences, College of Engineering and Computing, Florida International University, Miami, FL, USA. tcickovs@cs.fiu.edu.

Kalai Mathee (K)

Department of Human and Molecular Genetics, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA. matheelabfor65roses@gmail.com.
Biomolecular Sciences Institute, Florida International University, Miami, FL, USA. matheelabfor65roses@gmail.com.

Classifications MeSH