Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2015 Sep 8:6:944.
doi: 10.3389/fmicb.2015.00944. eCollection 2015.

Geriatric Respondents and Non-Respondents to Probiotic Intervention Can be Differentiated by Inherent Gut Microbiome Composition

Affiliations

Geriatric Respondents and Non-Respondents to Probiotic Intervention Can be Differentiated by Inherent Gut Microbiome Composition

Suja Senan et al. Front Microbiol. .

Abstract

Scope: Probiotic interventions are known to have been shown to influence the composition of the intestinal microbiota in geriatrics. The growing concern is the apparent variation in response to identical strain dosage among human volunteers. One factor that governs this variation is the host gut microbiome. In this study, we attempted to define a core gut metagenome, which could act as a predisposition signature marker of inherent bacterial community that can help predict the success of a probiotic intervention.

Methods and results: To characterize the geriatric gut microbiome, we designed primers targeting the 16S rRNA hypervariable region V2-V3 followed by semiconductor sequencing using Ion Torrent PGM. Among respondents and non-respondents, the chief genera of phylum Firmicutes that showed significant differences are Lactobacillus, Clostridium, Eubacterium, and Blautia (q < 0.002), while in the genera of phylum Proteobacteria included Shigella, Escherichia, Burkholderia and Camphylobacter (q < 0.002).

Conclusion: We have identified potential microbial biomarkers and taxonomic patterns that correlate with a positive response to probiotic intervention in geriatric volunteers. Future work with larger cohorts of geriatrics with diverse dietary influences could reveal the potential of the signature patterns of microbiota for personalized nutrition.

Keywords: MTCC 5463; geriatric; gut; metagenome; probiotics.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Inter-individual variation in the geriatric gut microbiome pre- and post-probiotic feeding.
Figure 2
Figure 2
Comparison of response groups with respect to (A) lactobacilli counts and (B) cholesterol levels. The middle line represents the median, the box represents the interquartile range, and the whiskers represent the total range.
Figure 3
Figure 3
Estimation of the phylogenetic diversity of the gut microbiota in the respondent and non-respondent groups using the (A) Shannon index, (B) phylogenetic distance, (C) Chao1, and (D) observed species. The values are means, and error bars indicate the 95% confidence intervals.
Figure 4
Figure 4
Relative abundances of the dominant genera (Firmicutes) in (A) respondents and (B) non-respondents.
Figure 5
Figure 5
Relative abundances of the dominant genera (Proteobacteria) in (A) respondents and (B) non-respondents.
Figure 6
Figure 6
Analysis of significance in abundance of (A) Firmicutes and (B) Proteobacteria among respondents and non-respondents using two-sample Fischer’s exact test.

References

    1. Ahmed S., Macfarlane G. T., Fite A., McBain A. J., Gilbert P., Macfarlane S., et al. (2007). Mucosa-associated bacterial diversity in relation to human terminal ileum and colonic biopsy samples. Appl. Environ. Microbiol. 73, 7435–7442.10.1128/AEM.01143-07 - DOI - PMC - PubMed
    1. An H. M., Baek E. H., Jang S., Lee D. K., Kim M. J., Kim J. R., et al. (2010). Efficacy of lactic acid bacteria (LAB) supplement in management of constipation among nursing home residents. Nutr. J. 9, 5.10.1186/1475-2891-9-5 - DOI - PMC - PubMed
    1. Arboleya S., Salazar N., Solís G., Fernández N., Gueimonde M., de los Reyes-Gavilán C. G. (2013). In vitro evaluation of the impact of human background microbiota on the response to Bifidobacterium strains and fructo-oligosaccharides. Br. J. Nutr. 110, 2030–2036.10.1017/S0007114513001487 - DOI - PubMed
    1. Armougom F., Raoult D. (2009). Exploring microbial diversity using 16S rRNA high-throughput methods. J. Comput. Sci. Syst. Biol. 2, 74–92.10.4172/jcsb.1000019 - DOI
    1. Ashar M. N., Prajapati J. B. (2001). Serum cholesterol level in humans fed acidophilus milk. Indian J. Microbiol. 41, 257–263.

LinkOut - more resources