Evidence map›Paper›PMID 36039320›Full record

ArticleInfection and drug resistance2022

Metagenomic Analysis of Urban Wastewater Treatment Plant Effluents in Tokyo.

Tsuyoshi Sekizuka, Kentaro Itokawa, Rina Tanaka, Masanori Hashino, Koji Yatsu, Makoto Kuroda

Open access · goldAbstract read
In one paragraph

Article in Infection and drug resistance, 2022. 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
1.5field-weighted citation impact, top 20% 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, 29 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

6 authors at 1 institution in 1 country.

Tsuyoshi SekizukaPathogen Genomics Center, National Institute of Infectious Diseases, Tokyo, 162-8640, Japan.ORCID 0000-0002-1302-5472
Kentaro ItokawaPathogen Genomics Center, National Institute of Infectious Diseases, Tokyo, 162-8640, Japan.
Rina TanakaPathogen Genomics Center, National Institute of Infectious Diseases, Tokyo, 162-8640, Japan.
Masanori HashinoPathogen Genomics Center, National Institute of Infectious Diseases, Tokyo, 162-8640, Japan.
Koji YatsuPathogen Genomics Center, National Institute of Infectious Diseases, Tokyo, 162-8640, Japan.
Makoto KurodaPathogen Genomics Center, National Institute of Infectious Diseases, Tokyo, 162-8640, Japan.ORCID 0000-0002-0487-4405
National Institute of Infectious Diseases · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Urban wastewater treatment plant (WWTP) effluents, even with proper treatment, may cause antimicrobial resistance (AMR) burden, with a high frequency of acquired antimicrobial resistance genes (ARGs). The dissemination of ARGs into the environment increases the risk of infectious diseases; however, there is little direct evidence regarding their epidemiological effects. This study aimed to assess effluents from urban WWTPs around the Tama River and Tokyo Bay using metagenomic analysis of (AMR) genes (ARGs) and heavy-metal resistance genes. Methods: Metagenomic DNA-seq analysis of water samples and resistome analysis were performed. Results: The most prevalent ARG was the sulfonamide resistance gene, Conclusion: We characterized a baseline level of the environmental ARG/HMRG profile in the overall community, suggesting that environmental AMR surveillance, particularly in urban WWTPs, is a valuable first step in monitoring the AMR dissemination of bacteria from predominantly healthy individuals carrying notable ARG/Bs.

Indexed as

carbapenemaseeffluentEnterobacteriaceaeESBLheavy-metal resistancemetagenomicsurban sewage

Identifiers

PMID36039320
PMCPMC9419991
OpenAlexW4292634407

What OpenQuestion holds

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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.