Evidence map›Paper›PMID 26441879›Full record

ArticleFrontiers in microbiology2015

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

Suja Senan, Jashbhai B Prajapati, Chaitanya G Joshi, V Sreeja, Manisha K Gohel, Sunil Trivedi, Rupal M Patel, Himanshu Pandya, Uday Shankar Singh, Ajay Phatak and 1 more

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Suja SenanDepartment of Dairy Science, South Dakota State University , Brookings, SD , USA.
Jashbhai B PrajapatiDepartment of Dairy Microbiology, Anand Agricultural University , Anand , India.
Chaitanya G JoshiDepartment of Animal Biotechnology, Anand Agricultural University , Anand , India.
V SreejaDepartment of Dairy Microbiology, Anand Agricultural University , Anand , India.
Manisha K GohelDepartment of Community Medicine, H. M Patel Center for Medical Care and Education , Karamsad , India.
Sunil TrivediDepartment of Microbiology, H. M Patel Center for Medical Care and Education , Karamsad , India.
Rupal M PatelDepartment of Microbiology, H. M Patel Center for Medical Care and Education , Karamsad , India.
Himanshu PandyaDepartment of Medicine, H. M Patel Center for Medical Care and Education , Karamsad , India.
Uday Shankar SinghDepartment of Community Medicine, H. M Patel Center for Medical Care and Education , Karamsad , India.
Ajay PhatakCentral Research Services, Charutar Arogya Mandal , Karamsad , India.
Hasmukh A PatelDepartment of Dairy Science, South Dakota State University , Brookings, SD , USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

scopeProbiotic 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

resultsTo 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).

conclusionWe 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.

Indexed as

geriatricgutmetagenomeMTCC 5463probiotics

Identifiers

PMID26441879
PMCPMC4561823

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.