Effect of inulin on the human gut microbiota: stimulation of Bifidobacterium adolescentis and Faecalibacterium prausnitzii
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Prebiotics are food ingredients that improve health by modulating the colonic microbiota. The bifidogenic effect of the prebiotic inulin is well established; however, it remains unclear which species of Bifidobacterium are stimulated in vivo and whether bacterial groups other than lactic acid bacteria are affected by inulin consumption. Changes in the faecal microbiota composition were examined by real-time PCR in twelve human volunteers after ingestion of inulin (10 g/d) for a 16-d period in comparison with a control period without any supplement intake. The prevalence of most bacterial groups examined did not change after inulin intake, although the low G+C % Gram-positive species Faecalibacterium prausnitzii exhibited a significant increase (10.3% for control period v. 14.5% during inulin intake, P=0.019). The composition of the genus Bifidobacterium was studied in four of the volunteers by clone library analysis. Between three and five Bifidobacterium spp. were found in each volunteer. Bifidobacterium adolescentis and Bifidobacterium longum were present in all volunteers, and Bifidobacterium pseudocatenulatum, Bifidobacterium animalis, Bifidobacterium bifidum and Bifidobacterium dentium were also detected. Real-time PCR was employed to quantify the four most prevalent Bifidobacterium spp., B. adolescentis, B. longum, B. pseudocatenulatum and B. bifidum, in ten volunteers carrying detectable levels of bifidobacteria. B. adolescentis showed the strongest response to inulin consumption, increasing from 0.89 to 3.9% of the total microbiota (P=0.001). B. bifidum was increased from 0.22 to 0.63% (P<0.001) for the five volunteers for whom this species was present.
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Supplementing the diet with the plant polysaccharide inulin as a prebiotic significantly increases Faecalibacterium and Bifidobacterium species.
“Other studies have focused on supplementation of the diet with plant polysaccharide inulin prebiotics, demonstrating significant increases of both Faecalibacterium and Bifidobacterium species with this dietary intervention (Ramirez-Farias et al., 2009).”
From The Influence of the Gut Microbiome on Cancer, Immunity, and Cancer Immunotherapy (2018) · cites this paper as Ramirez-Farias et al., 2009
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- Authors
- Ramirez-Farias, C., Slezak, K., Fuller, Z., Duncan, A., Holtrop, G., & Louis, P.
- Affiliations
- Biomathematics and Statistics Scotland (GB)
- Corresponding author
- Louis, Petra
- Venue
- British Journal of Nutrition
- Publisher
- Cambridge University Press (CUP)
- Published
- 2008-07-01
- Volume
- 101
- Issue
- 4
- Pages
- 541-550
- ISSN
- 0007-1145 (ISSN-L)
- 1475-2662
- OpenAlex
- W2036057672
- Cited by
- 822
- References
- 64
- Citations by year
- 2026: 21 · 2025: 37 · 2024: 40 · 2023: 57 · 2022: 55 · 2021: 75 · 2020: 60 · 2019: 59 · 2018: 60 · 2017: 65 · 2016: 43 · 2015: 36 · 2014: 51 · 2013: 59 · 2012: 28
- FWCI
- 24.02
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- British Journal Of Nutrition (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Scottish Government
- Topics
- Health Sciences › Nursing › Nutrition and Dietetics › Microbial Metabolites in Food Biotechnology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Life Sciences › Agricultural and Biological Sciences › Food Science › Probiotics and Fermented Foods
- Keywords
- inulin, prebiotics, gut microbiota, Bifidobacterium adolescentis, Faecalibacterium prausnitzii, Bifidobacterium longum, Bifidobacterium bifidum, Bifidobacterium pseudocatenulatum, Bifidobacterium animalis, Bifidobacterium dentium, bifidogenic effect, fecal microbiota composition, dietary supplementation
- MeSH terms
- Adult, Analysis of Variance, Base Sequence, Bifidobacterium, DNA, Bacterial, Fatty Acids, Volatile, Feces, Food Microbiology, Humans, Hydrogen-Ion Concentration, Intestinal Mucosa, Inulin, Molecular Sequence Data, Species Specificity, Stimulation, Chemical, Colony Count, Microbial, Gene Library, Linear Models, DNA Fingerprinting, DNA Primers, Probiotics, Reverse Transcriptase Polymerase Chain Reaction
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