Evidence map›Paper›PMID 30728635›Full record

ArticleIndian journal of microbiology2019

Mining the Core Gut Microbiome from a Sample Indian Population.

Abhijit S Kulkarni, Shreyas V Kumbhare, Dhiraj P Dhotre, Yogesh S Shouche

Open access · bronzeAbstract read
In one paragraph

Article in Indian journal of microbiology, 2019. 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
1.1field-weighted citation impact, top 23% of its field
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, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Diet, Gut Microbiota and COVID-19.Indian journal of microbiology · 2020
    Review
  8. Observational
  9. Article
  10. Interplay of Human Gut Microbiome in Health and Wellness.Indian journal of microbiology · 2020
    Review
  11. Genetics, Transcriptomics and Meta-Taxonomics in Visceral Leishmaniasis.Frontiers in cellular and infection microbiology · 2020
    Review
  12. Article
  13. Article
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

4 authors at 1 institution in 1 country.

Abhijit S Kulkarni1National Centre for Cell Science (NCCS), University of Pune Campus, Ganeshkhind, Pune, 411007 India.
Shreyas V Kumbhare1National Centre for Cell Science (NCCS), University of Pune Campus, Ganeshkhind, Pune, 411007 India.
Dhiraj P Dhotre2National Centre for Microbial Resource (NCMR), National Centre for Cell Science (NCCS), Central Tower, SAI Trinity Complex, Pashan, Pune, 411021 India.
Yogesh S Shouche1National Centre for Cell Science (NCCS), University of Pune Campus, Ganeshkhind, Pune, 411007 India.
National Centre for Cell Science · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human gut microbiome studies are increasing at a rapid pace to understand contributions of the prokaryotic life to the innate workings of their eukaryotic host. Majority of studies focus on the pattern of gut microbial diversity in various diseases, however, understanding the core microbiota of healthy individuals presents a unique opportunity to study the microbial fingerprint in population specific studies. Present study was undertaken to determine the core microbiome of a healthy population and its imputed metabolic role. A total of 8990, clone library sequences (> 900 bp) of 16S rRNA gene from fecal samples of 43 individuals were used. The core gut microbiota was computed using QIIME pipeline. Our results show the distinctive predominance of genus

Indexed as

Core microbiomeGut microbiotaIndian gut microbiome

Identifiers

PMID30728635
PMCPMC6328410
OpenAlexW2804738828

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.