Evidence map›Paper›PMID 39741231›Full record

ArticleBMC oral health2024

Metataxonomics study of dental bioaerosols affected by waterline disinfection.

Wachirakorn Poolkerd, Boonlased Swatasuk, Methanee Saengpitak, Sureeporn Muangsawat, Piriya Klankeo, Kittisak Thotsaporn, Ruchanee Salingcarnboriboon Ampornaramveth

Abstract read
In one paragraph

Article in BMC oral health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Wachirakorn Poolkerd *Center of Excellence on Oral Microbiology and Immunology, Department of Microbiology, Faculty of Dentistry, Chulalongkorn University, Henri Dunant Rd, Bangkok, 10330, Thailand.
Boonlased Swatasuk *Center of Excellence on Oral Microbiology and Immunology, Department of Microbiology, Faculty of Dentistry, Chulalongkorn University, Henri Dunant Rd, Bangkok, 10330, Thailand.
Methanee SaengpitakCenter of Excellence on Oral Microbiology and Immunology, Department of Microbiology, Faculty of Dentistry, Chulalongkorn University, Henri Dunant Rd, Bangkok, 10330, Thailand.
Sureeporn MuangsawatCenter of Excellence on Oral Microbiology and Immunology, Department of Microbiology, Faculty of Dentistry, Chulalongkorn University, Henri Dunant Rd, Bangkok, 10330, Thailand.
Piriya KlankeoOmics Sciences & Bioinformatics Center, Faculty of Science, Chulalongkorn University, Bangkok, Thailand.
Kittisak Thotsaporn *Department of Biochemistry, Faculty of Dentistry, Chulalongkorn University, Bangkok, Thailand.
Ruchanee Salingcarnboriboon Ampornaramveth *Center of Excellence on Oral Microbiology and Immunology, Department of Microbiology, Faculty of Dentistry, Chulalongkorn University, Henri Dunant Rd, Bangkok, 10330, Thailand. ruchanee.a@chula.ac.th.

Funding

Thailand Science Research and Innovation Fund Chulalongkorn University 196878The Dental Research Fund , Faculty of Dentistry, Chulalongkorn University DRF3200503-2023-002
6 · The paper itself

Abstract

backgroundMicroorganisms in dental unit water (DUW) play a significant role in dental bioaerosols. If the methods used to decontaminate DUW also help improve air quality in dental clinics is worth exploring. In this study, we aim to identify the source of bacteria in dental bioaerosols and investigate the impact of waterline disinfectants on the quantity and composition of bacteria in DUW and bioaerosols.

methodsTwo dental chair units in a separate treatment room are installed with two different waterline decontamination systems, a plasma or iodine cartridge. The experiment was performed in two phases, before and after installing the decontamination systems. Aerosol is generated via running airotor in the subject's mouth. Before and after the procedure, the air samples were collected with an active air sampling machine onto agar plate and filter paper for genomic DNA extraction. The subject's saliva and DUW samples were also collected. The samples were analyzed further with bacterial counting and metataxonomics analysis.

resultsThe bacteria present in the air sample after the aerosol-generating procedure were confirmed to be derived from the air-before, saliva, and DUW in 51.43%, 6.38%, and 18.60%, respectively. The saliva samples demonstrated the highest alpha diversity (within the sample), whereas the air samples had the least. Both waterline disinfectants effectively controlled bacteria in DUW but did not affect the bacterial number and composition in the air.

conclusionsDental bioaerosols are composed of bacteria from saliva and DUW. Plasma and iodine showed a trend in controlling bacterial contamination in DUW but did not alter the bacterial count and composition in dental bioaerosols.

Indexed as

AerosolsAir MicrobiologyDisinfectionWater MicrobiologyBacteriaBacterial LoadColony Count, MicrobialDecontaminationDental DisinfectantsDental EquipmentEquipment ContaminationHumansSalivaAerosolsDental DisinfectantsDental bioaerosolsDental unit waterline decontaminationInfection controlIodinePlasma

Identifiers

PMID39741231
PMCPMC11689511

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.