Evidence map›Paper›PMID 41196888›Full record

ArticlePloS one2025

Detection and quantification of key dental pathogens through wastewater monitoring.

Olivia N Birch, Sang C Par, Justin C Greaves

Abstract read
In one paragraph

Article in PloS one, 2025. 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. Review
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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

3 authors.

Olivia N BirchDepartment of Environmental and Occupational Health, School of Public Health Indiana University-Bloomington.ORCID https://orcid.org/0009-0008-6840-5342
Sang C ParDepartment of Environmental and Occupational Health, School of Public Health Indiana University-Bloomington.
Justin C GreavesDepartment of Environmental and Occupational Health, School of Public Health Indiana University-Bloomington.ORCID https://orcid.org/0000-0001-9633-650X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wastewater-based epidemiology (WBE) has been widely used to track viral pathogens like SARS-CoV-2 and polio, but its potential for monitoring common dental bacterial pathogens that infect the oral cavity has yet to be explored. Streptococcus mutans and Porphyromonas gingivalis are key oral bacterial pathogens that cause highly prevalent dental diseases worldwide, such as dental caries and gingivitis. Our main objective for this study was to investigate the presence and prevalence of these oral bacteria in wastewater to determine the feasibility of using WBE for oral pathogens. We measured S. mutans and P. gingivalis nucleic acids in weekly samples for 24 months at a local wastewater treatment plant. Between June 2023 and May 2025, a weekly sample of untreated wastewater was collected, resulting in a total of 100 samples collected over the timespan. Samples were concentrated, extracted for DNA, and then tested for each bacterium. Our results showed that 89% and 58% were positive for S. mutans and P. gingivalis, respectively, which shows that wastewater surveillance is appropriate for oral bacteria. Average concentrations were 4.57 log10 genome copies/L and 3.03 log10 genome copies/L for S. mutans and P. gingivalis, respectively. Detections of oral bacteria were observed in the primary and final effluent, but concentrations were significantly lower in the final effluent than in the untreated wastewater. The high levels of oral bacteria in wastewater indicated a potential transmission mechanism for these bacteria through water, specifically for S. mutans. Additionally, this study underscores the unique potential for WBE to be used in the surveillance of oral bacterial pathogens.

Indexed as

Porphyromonas gingivalisStreptococcus mutansWastewaterWastewater-Based Epidemiological MonitoringCOVID-19Dental CariesHumansSARS-CoV-2Wastewater

Identifiers

PMID41196888
PMCPMC12591483

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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.