Evidence map›Paper›PMID 27324770›Full record

ArticleAntimicrobial agents and chemotherapy2016

Isolation and Characterization of NDM-Positive Escherichia coli from Municipal Wastewater in Jeddah, Saudi Arabia.

David Mantilla-Calderon, Muhammad Raihan Jumat, Tiannyu Wang, Pugalenthi Ganesan, Nada Al-Jassim, Pei-Ying Hong

Open access · hybridAbstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

21 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
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  5. Article
  6. Clinically Relevant β-Lactam Resistance Genes in Wastewater Treatment Plants.International journal of environmental research and public health · 2022
    Review
  7. Article
  8. Molecular Epidemiology of New Delhi Metallo-Frontiers in microbiology · 2022
    Article
  9. Review
  10. "Occurrence ofSaudi journal of biological sciences · 2021
    Article
  11. Article
  12. Elucidating the Role of Virulence Traits in the Survival of PathogenicFrontiers in bioengineering and biotechnology · 2020
    Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
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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

6 authors at 1 institution in 1 country.

David Mantilla-CalderonKing Abdullah University of Science and Technology (KAUST), Water Desalination and Reuse Center (WDRC), Biological and Environmental Sciences & Engineering Division (BESE), Thuwal, Saudi Arabia.
Muhammad Raihan JumatKing Abdullah University of Science and Technology (KAUST), Water Desalination and Reuse Center (WDRC), Biological and Environmental Sciences & Engineering Division (BESE), Thuwal, Saudi Arabia.
Tiannyu WangKing Abdullah University of Science and Technology (KAUST), Water Desalination and Reuse Center (WDRC), Biological and Environmental Sciences & Engineering Division (BESE), Thuwal, Saudi Arabia.
Pugalenthi GanesanKing Abdullah University of Science and Technology (KAUST), Bioscience Core Labs, Thuwal, Saudi Arabia.
Nada Al-JassimKing Abdullah University of Science and Technology (KAUST), Water Desalination and Reuse Center (WDRC), Biological and Environmental Sciences & Engineering Division (BESE), Thuwal, Saudi Arabia.
Pei-Ying HongKing Abdullah University of Science and Technology (KAUST), Water Desalination and Reuse Center (WDRC), Biological and Environmental Sciences & Engineering Division (BESE), Thuwal, Saudi Arabia peiying.hong@kaust.edu.sa.
King Abdullah University of Science and Technology · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of resistance to last-resort antibiotics is a public health concern of global scale. Besides direct person-to-person propagation, environmental pathways might contribute to the dissemination of antibiotic-resistant bacteria and antibiotic resistance genes (ARGs). Here, we describe the incidence of blaNDM-1, a gene conferring resistance to carbapenems, in the wastewater of the city of Jeddah, Saudi Arabia, over a 1-year period. blaNDM-1 was detected at concentrations ranging from 10(4) to 10(5) copies/m(3) of untreated wastewater during the entire monitoring period. These results indicate the ubiquity and high incidence of blaNDM-1 in the local wastewater. To track the bacteria carrying blaNDM-1, we isolated Escherichia coli PI7, a strain of sequence type 101 (ST101), from wastewater around the Hajj event in October 2013. Genome sequencing of this strain revealed an extensive repertoire of ARGs as well as virulence and invasive traits. These traits were further confirmed by antibiotic resistance profiling and in vitro cell internalization in HeLa cell cultures. Given that this strain remains viable even after a certain duration in the sewerage, and that Jeddah lacks a robust sanitary infrastructure to fully capture all generated sewage, the presence of this bacterium in the untreated wastewater represents a potential hazard to the local public health. To the best of our knowledge, this is the first report of a blaNDM-1-positive E. coli strain isolated from a nonnosocomial environment in Saudi Arabia and may set a priority concern for the need to establish improved surveillance for carbapenem-resistant E. coli in the country and nearby regions.

Indexed as

Genome, BacterialAnti-Bacterial Agentsbeta-Lactamasesbeta-Lactam ResistanceEscherichia coliHigh-Throughput Nucleotide SequencingHumansMicrobial Sensitivity TestsMultilocus Sequence TypingPlasmidsSaudi ArabiaWastewaterAnti-Bacterial Agentsbeta-lactamase NDM-1beta-LactamasesWastewater

Identifiers

PMID27324770
PMCPMC4997845
OpenAlexW2468997426

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.