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

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 mic...

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Autores principales: Senan, Suja, Prajapati, Jashbhai B., Joshi, Chaitanya G., Sreeja, V., Gohel, Manisha K., Trivedi, Sunil, Patel, Rupal M., Pandya, Himanshu, Singh, Uday Shankar, Phatak, Ajay, Patel, Hasmukh A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4561823/
https://www.ncbi.nlm.nih.gov/pubmed/26441879
http://dx.doi.org/10.3389/fmicb.2015.00944
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author Senan, Suja
Prajapati, Jashbhai B.
Joshi, Chaitanya G.
Sreeja, V.
Gohel, Manisha K.
Trivedi, Sunil
Patel, Rupal M.
Pandya, Himanshu
Singh, Uday Shankar
Phatak, Ajay
Patel, Hasmukh A.
author_facet Senan, Suja
Prajapati, Jashbhai B.
Joshi, Chaitanya G.
Sreeja, V.
Gohel, Manisha K.
Trivedi, Sunil
Patel, Rupal M.
Pandya, Himanshu
Singh, Uday Shankar
Phatak, Ajay
Patel, Hasmukh A.
author_sort Senan, Suja
collection PubMed
description 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.
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spelling pubmed-45618232015-10-05 Geriatric Respondents and Non-Respondents to Probiotic Intervention Can be Differentiated by Inherent Gut Microbiome Composition Senan, Suja Prajapati, Jashbhai B. Joshi, Chaitanya G. Sreeja, V. Gohel, Manisha K. Trivedi, Sunil Patel, Rupal M. Pandya, Himanshu Singh, Uday Shankar Phatak, Ajay Patel, Hasmukh A. Front Microbiol Microbiology 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. Frontiers Media S.A. 2015-09-08 /pmc/articles/PMC4561823/ /pubmed/26441879 http://dx.doi.org/10.3389/fmicb.2015.00944 Text en Copyright © 2015 Senan, Prajapati, Joshi, Sreeja, Gohel, Trivedi, Patel, Pandya, Singh, Phatak and Patel. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Senan, Suja
Prajapati, Jashbhai B.
Joshi, Chaitanya G.
Sreeja, V.
Gohel, Manisha K.
Trivedi, Sunil
Patel, Rupal M.
Pandya, Himanshu
Singh, Uday Shankar
Phatak, Ajay
Patel, Hasmukh A.
Geriatric Respondents and Non-Respondents to Probiotic Intervention Can be Differentiated by Inherent Gut Microbiome Composition
title Geriatric Respondents and Non-Respondents to Probiotic Intervention Can be Differentiated by Inherent Gut Microbiome Composition
title_full Geriatric Respondents and Non-Respondents to Probiotic Intervention Can be Differentiated by Inherent Gut Microbiome Composition
title_fullStr Geriatric Respondents and Non-Respondents to Probiotic Intervention Can be Differentiated by Inherent Gut Microbiome Composition
title_full_unstemmed Geriatric Respondents and Non-Respondents to Probiotic Intervention Can be Differentiated by Inherent Gut Microbiome Composition
title_short Geriatric Respondents and Non-Respondents to Probiotic Intervention Can be Differentiated by Inherent Gut Microbiome Composition
title_sort geriatric respondents and non-respondents to probiotic intervention can be differentiated by inherent gut microbiome composition
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4561823/
https://www.ncbi.nlm.nih.gov/pubmed/26441879
http://dx.doi.org/10.3389/fmicb.2015.00944
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