Evidence map›Paper›PMID 37768925›Full record

ArticlePloS one2023

Quantitative detection and reduction of potentially pathogenic bacterial groups of Aeromonas, Arcobacter, Klebsiella pneumoniae species complex, and Mycobacterium in wastewater treatment facilities.

Masataka Aoki, Yasuyuki Takemura, Shuji Kawakami, Wilasinee Yoochatchaval, Thao Tran P, Noriko Tomioka, Yoshitaka Ebie, Kazuaki Syutsubo

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

9 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. CharacterizingAntibiotics (Basel, Switzerland) · 2026
    Article
  4. Article
  5. Article
  6. Wastewater Surveillance for Group APathogens (Basel, Switzerland) · 2025
    Article
  7. Journal of water and health · 2025
    Article
  8. Article
  9. Depuration ofPathogens (Basel, Switzerland) · 2024
    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

8 authors at 3 institutions in 2 countries.

Masataka AokiRegional Environment Conservation Division, National Institute for Environmental Studies, Tsukuba, Ibaraki, Japan.ORCID 0000-0002-9352-2072
Yasuyuki TakemuraRegional Environment Conservation Division, National Institute for Environmental Studies, Tsukuba, Ibaraki, Japan.
Shuji KawakamiDepartment of Civil Engineering, National Institute of Technology (KOSEN), Nagaoka College, Nagaoka, Niigata, Japan.
Wilasinee YoochatchavalDepartment of Environmental Engineering, Faculty of Engineering, Kasetsart University, Bangkok, Thailand.
Thao Tran PRegional Environment Conservation Division, National Institute for Environmental Studies, Tsukuba, Ibaraki, Japan.ORCID 0000-0003-1028-1654
Noriko TomiokaRegional Environment Conservation Division, National Institute for Environmental Studies, Tsukuba, Ibaraki, Japan.
Yoshitaka EbieMaterial Cycles Division, National Institute for Environmental Studies, Tsukuba, Ibaraki, Japan.ORCID 0000-0001-5726-5681
Kazuaki SyutsuboRegional Environment Conservation Division, National Institute for Environmental Studies, Tsukuba, Ibaraki, Japan.ORCID 0000-0003-4181-2171
National Institute for Environmental Studies · JPKasetsart University · THNagaoka National College of Technology · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Water quality parameters influence the abundance of pathogenic bacteria. The genera Aeromonas, Arcobacter, Klebsiella, and Mycobacterium are among the representative pathogenic bacteria identified in wastewater. However, information on the correlations between water quality and the abundance of these bacteria, as well as their reduction rate in existing wastewater treatment facilities (WTFs), is lacking. Hence, this study aimed to determine the abundance and reduction rates of these bacterial groups in WTFs. Sixty-eight samples (34 influent and 34 non-disinfected, treated, effluent samples) were collected from nine WTFs in Japan and Thailand. 16S rRNA gene amplicon sequencing analysis revealed the presence of Aeromonas, Arcobacter, and Mycobacterium in all influent wastewater and treated effluent samples. Quantitative real-time polymerase chain reaction (qPCR) was used to quantify the abundance of Aeromonas, Arcobacter, Klebsiella pneumoniae species complex (KpSC), and Mycobacterium. The geometric mean abundances of Aeromonas, Arcobacter, KpSC, and Mycobacterium in the influent wastewater were 1.2 × 104-2.4 × 105, 1.0 × 105-4.5 × 106, 3.6 × 102-4.3 × 104, and 6.9 × 103-5.5 × 104 cells mL-1, respectively, and their average log reduction values were 0.77-2.57, 1.00-3.06, 1.35-3.11, and -0.67-1.57, respectively. Spearman's rank correlation coefficients indicated significant positive or negative correlations between the abundances of the potentially pathogenic bacterial groups and Escherichia coli as well as water quality parameters, namely, chemical/biochemical oxygen demand, total nitrogen, nitrate-nitrogen, nitrite-nitrogen, ammonium-nitrogen, suspended solids, volatile suspended solids, and oxidation-reduction potential. This study provides valuable information on the development and appropriate management of WTFs to produce safe, hygienic water.

Indexed as

AeromonasArcobacterMycobacteriumWater PurificationEscherichia coliKlebsiellaKlebsiella pneumoniaeRNA, Ribosomal, 16SWastewaterRNA, Ribosomal, 16SWastewater

Identifiers

PMID37768925
PMCPMC10538766
OpenAlexW4387141630

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.