Evidence map›Paper›PMID 24391833›Full record

ArticlePloS one2013

In silico analysis of antibiotic resistance genes in the gut microflora of individuals from diverse geographies and age-groups.

Tarini Shankar Ghosh, Sourav Sen Gupta, Gopinath Balakrish Nair, Sharmila S Mande

Open access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

51 citing papers in PubMed, 99 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Tarini Shankar GhoshBioSciences R&D Division, TCS Innovation Labs, Tata Consultancy Services Ltd., Pune, Maharashtra, India.
Sourav Sen GuptaTranslational Health Sciences and Technology Institute, Gurgaon, Haryana, India.
Gopinath Balakrish NairTranslational Health Sciences and Technology Institute, Gurgaon, Haryana, India.
Sharmila S MandeBioSciences R&D Division, TCS Innovation Labs, Tata Consultancy Services Ltd., Pune, Maharashtra, India.
Tata Consultancy Services (India) · INTranslational Health Science and Technology Institute · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The spread of antibiotic resistance, originating from the rampant and unrestrictive use of antibiotics in humans and livestock over the past few decades has emerged as a global health problem. This problem has been further compounded by recent reports implicating the gut microbial communities to act as reservoirs of antibiotic resistance. We have profiled the presence of probable antibiotic resistance genes in the gut flora of 275 individuals from eight different nationalities. For this purpose, available metagenomic data sets corresponding to 275 gut microbiomes were analyzed. Sequence similarity searches of the genomic fragments constituting each of these metagenomes were performed against genes conferring resistance to around 240 antibiotics. Potential antibiotic resistance genes conferring resistance against 53 different antibiotics were detected in the human gut microflora analysed in this study. In addition to several geography/country-specific patterns, four distinct clusters of gut microbiomes, referred to as 'Resistotypes', exhibiting similarities in their antibiotic resistance profiles, were identified. Groups of antibiotics having similarities in their resistance patterns within each of these clusters were also detected. Apart from this, mobile multi-drug resistance gene operons were detected in certain gut microbiomes. The study highlighted an alarmingly high abundance of antibiotic resistance genes in two infant gut microbiomes. The results obtained in the present study presents a holistic 'big picture' on the spectra of antibiotic resistance within our gut microbiota across different geographies. Such insights may help in implementation of new regulations and stringency on the existing ones.

Indexed as

Gene Expression ProfilingAdultAge FactorsAnti-Bacterial AgentsBiomarkersChildComputational BiologyDNA, BacterialDrug Resistance, BacterialDrug Resistance, MultipleGastrointestinal TractGenes, BacterialGeographyHumansMetagenomeMicrobiotaAnti-Bacterial AgentsBiomarkersDNA, Bacterial

Identifiers

PMID24391833
PMCPMC3877126
OpenAlexW2034806366

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.