Evidence map›Paper›PMID 30532649›Full record

ReviewCurrent genomics2018

Diverse Distribution of Resistomes in the Human and Environmental Microbiomes.

Mi Young Lim, Youna Cho, Mina Rho

Abstract readReview
In one paragraph

Review in Current genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. 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

3 authors.

Mi Young Lim1Research Group of Healthcare, Korea Food Research Institute, Jeollabuk-do 55365, South Korea; 2Department of Computer Science and Engineering, Hanyang University, Seoul133-791, South Korea; 3Department of Biomedical Informatics, Hanyang University, Seoul133-791, South Korea.
Youna Cho1Research Group of Healthcare, Korea Food Research Institute, Jeollabuk-do 55365, South Korea; 2Department of Computer Science and Engineering, Hanyang University, Seoul133-791, South Korea; 3Department of Biomedical Informatics, Hanyang University, Seoul133-791, South Korea.
Mina Rho1Research Group of Healthcare, Korea Food Research Institute, Jeollabuk-do 55365, South Korea; 2Department of Computer Science and Engineering, Hanyang University, Seoul133-791, South Korea; 3Department of Biomedical Informatics, Hanyang University, Seoul133-791, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The routine therapeutic use of antibiotics has caused resistance genes to be disseminated across microbial populations. In particular, bacterial strains having antibiotic resistance genes are frequently observed in the human microbiome. Moreover, multidrug-resistant pathogens are now widely spread, threatening public health. Such genes are transferred and spread among bacteria even in different environments. Advances in high throughput sequencing technology and computational algorithms have accelerated investigation into antibiotic resistance genes of bacteria. Such studies have revealed that the antibiotic resistance genes are located close to the mobility-associated genes, which promotes their dissemination. An increasing level of information on genomic sequences of resistome should expedite research on drug-resistance in our body and environment, thereby contributing to the development of public health policy. In this review, the high prevalence of antibiotic resistance genes and their exchange in the human and environmental microbiome is discussed with respect to the genomic contents. The relationships among diverse resistomes, related bacterial species, and the antibiotics are reviewed. In addition, recent advances in bioinformatics approaches to investigate such relationships are discussed.

Indexed as

Antibiotic resistance genesEnvironmental microbiomesHuman microbiomeMetagenomicsMicrobiomeResistome

Identifiers

PMID30532649
PMCPMC6225452

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.