Evidence map›Paper›PMID 37152760›Full record

ArticleFrontiers in microbiology2023

New insight into the microbiome, resistome, and mobilome on the dental waste water in the context of heavy metal environment.

Xiaoyang Jiao, Wenyan Guo, Xin Li, Fen Yao, Mi Zeng, Yumeng Yuan, Xiaoling Guo, Meimei Wang, Qing Dong Xie, Leshan Cai and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 15 citations in OpenAlex.

  1. Negative Impact of Dental Wastewater on the Environment and Human Health: A Scoping Review.Water environment research : a research publication of the Water Environment Federation · 2025
    Article
  2. Article
  3. 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

13 authors at 2 institutions in 1 country.

Xiaoyang JiaoCollege of Medicine, Shantou University, Shantou, China.
Wenyan GuoDepartment of Clinical Laboratory, First Affiliated Hospital of Shantou University Medical College, Shantou, China.
Xin LiCollege of Medicine, Shantou University, Shantou, China.
Fen YaoDepartment of Pharmacology, College of Medicine, Shantou University, Shantou, China.
Mi ZengCollege of Medicine, Shantou University, Shantou, China.
Yumeng YuanCollege of Medicine, Shantou University, Shantou, China.
Xiaoling GuoCollege of Medicine, Shantou University, Shantou, China.
Meimei WangCollege of Medicine, Shantou University, Shantou, China.
Qing Dong XieCollege of Medicine, Shantou University, Shantou, China.
Leshan CaiDepartment of Clinical Laboratory, First Affiliated Hospital of Shantou University Medical College, Shantou, China.
Feiyuan YuCollege of Medicine, Shantou University, Shantou, China.
Pen YuDepartment of Clinical Laboratory, First Affiliated Hospital of Shantou University Medical College, Shantou, China.
Yong XiaDepartment of Clinical Laboratory, First Affiliated Hospital of Shantou University Medical College, Shantou, China.
Shantou University · CNFirst Affiliated Hospital of Shantou University Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Object: Hospital sewage have been associated with incorporation of antibiotic resistance genes (ARGs) and mobile genetic elements (MGEs) into microbes, which is considered as a key indicator for the spread of antimicrobial resistance (AMR). The compositions of dental waste water (DWW) contain heavy metals, the evolution of AMR and its effects on the water environment in the context of heavy metal environment have not been seriously investigated. Thus, our major aims were to elucidate the evolution of AMR in DWW. Methods: DWW samples were collected from a major dental department. The presence of microbial communities, ARGs, and MGEs in untreated and treated (by filter membrane and ozone) samples were analyzed using metagenomics and bioinformatic methods. Results: DWW-associated resistomes included 1,208 types of ARGs, belonging to 29 antibiotic types/subtypes. The most abundant types/subtypes were ARGs of multidrug resistance and of antibiotics that were frequently used in the clinical practice. Conclusion: DWW contained abundant ARGs, and MGEs, which contributed to the occurrence and spread of AMR bacteria. Consequently, DWW would seriously increase environmental health concerns which may be different but have been well-documented from hospital waste waters.

Indexed as

antibiotic resistance genesantimicrobial resistancedental wastewatermobilomeresistome

Identifiers

PMID37152760
PMCPMC10157219
OpenAlexW4366550034

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.