Yoghurt consumption is associated with changes in the composition of the human gut microbiome and metabolome

Study information

Needs review

study design

prospective cohort

Citation

PMID PubMed identifier for scientific articles.

35114943

DOI Digital object identifier for electronic documents.

https://doi.org/10.1186/s12866-021-02364-2

URI

Authors

Le Roy CI, Kurilshikov A, Leeming ER, Visconti A, Bowyer RCE, Menni C, Falchi M, Koutnikova H, Veiga P, Zhernakova A, Derrien M, Spector TD

Journal

BMC microbiology

Year

2022

Keywords:

16S rRNA and whole shotgun metagenomic sequencing, Bifidobacterium animalis, Streptococcus thermophilus, Yoghurt, diet, gut microbiome, healthy eating, metabolomics

BACKGROUND: Yoghurt contains live bacteria that could contribute via modulation of the gut microbiota to its reported beneficial effects such as reduced body weight gain and lower incidence of type 2 diabetes. To date, the association between yoghurt consumption and the composition of the gut microbiota is underexplored. Here we used clinical variables, metabolomics, 16S rRNA and shotgun metagenomic sequencing data collected on over 1000 predominantly female UK twins to define the link between the gut microbiota and yoghurt-associated health benefits. RESULTS: According to food frequency questionnaires (FFQ), 73% of subjects consumed yoghurt. Consumers presented a healthier diet pattern (healthy eating index: beta = 2.17 ± 0.34; P = 2.72x10-10) and improved metabolic health characterised by reduced visceral fat (beta = -28.18 ± 11.71 g; P = 0.01). According to 16S rRNA gene analyses and whole shotgun metagenomic sequencing approach consistent taxonomic variations were observed with yoghurt consumption. More specifically, we identified higher abundance of species used as yoghurt starters Streptococcus thermophilus (beta = 0.41 ± 0.051; P = 6.14x10-12) and sometimes added Bifidobacterium animalis subsp. lactis (beta = 0.30 ± 0.052; P = 1.49x10-8) in the gut of yoghurt consumers. Replication in 1103 volunteers from the LifeLines-DEEP cohort confirmed the increase of S. thermophilus among yoghurt consumers. Using food records collected the day prior to faecal sampling we showed than an increase in these two yoghurt bacteria could be transient. Metabolomics analysis revealed that B. animalis subsp. lactis was associated with 13 faecal metabolites including a 3-hydroxyoctanoic acid, known to be involved in the regulation of gut inflammation. CONCLUSIONS: Yoghurt consumption is associated with reduced visceral fat mass and changes in gut microbiome including transient increase of yoghurt-contained species (i.e. S. thermophilus and B. lactis).

Experiment 1

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Needs review

Curated date: 2024/10/25

Curator: Patience Onah

Revision editor(s): Patience Onah

Subjects

Location of subjects: United Kingdom

Host species Species from which microbiome was sampled. Contact us to have more species added.: Homo sapiens

Body site Anatomical site where microbial samples were extracted from according to the Uber Anatomy Ontology: Feces Cow dung,Cow pat,Droppings,Dung,Excrement,Excreta,Faeces,Fecal material,Fecal matter,Fewmet,Frass,Guano,Matières fécales@fr,Merde@fr,Ordure,Partie de la merde@fr,Piece of shit,Porción de mierda@es,Portion of dung,Portion of excrement,Portion of faeces,Portion of fecal material,Portion of fecal matter,Portion of feces,Portion of guano,Portion of scat,Portionem cacas,Scat,Spoor,Spraint,Stool,Teil der fäkalien@de,Feces,feces

Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology: Gut microbiome measurement Gut microbiome measurement,gut microbiome measurement

Group 0 name Corresponds to the control (unexposed) group for case-control studies: Non yoghurt eaters

Group 1 name Corresponds to the case (exposed) group for case-control studies: Yoghurt eaters

Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group: Individual who have consumed yoghurt for at least once in a week

Group 0 sample size Number of subjects in the control (unexposed) group: 400

Group 1 sample size Number of subjects in the case (exposed) group: 1057

Lab analysis

Sequencing type: 16S

16S variable region One or more hypervariable region(s) of the bacterial 16S gene: Not specified

Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance: Illumina

Statistical Analysis

Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).: relative abundances