ArticleJournal of microbiological methods2017
Improved method for rapid and accurate isolation and identification of Streptococcus mutans and Streptococcus sobrinus from human plaque samples.
Article in Journal of microbiological methods, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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.
Who cites it
9 citing papers in PubMed, 23 citations in OpenAlex.
- Evaluation of residual carious dentin detection methods after cavity preparation: a randomized clinical trial.BMC oral health · 2024Trial
- Diversity of Streptococcus mutans serotypes isolated from dental plaque of Brazilian patients with a history of acute myocardial infarction.Journal of applied oral science : revista FOB · 2026Article
- HLA-DRB1 alleles and salivary Streptococcus mutans colonization in a group of Swedish children.BMC oral health · 2025Article
- Evaluation ofInternational journal of clinical pediatric dentistry · 2023Article
- In vivo Microbial Diversity Analysis on Different Surfaces of Dental Restorative Materials via 16S rDNA Sequencing.Medical science monitor : international medical journal of experimental and clinical research · 2020Article
- Clinical Trials with Herbal Products for the Prevention of Dental Caries and Their Quality: A Scoping Study.Biomolecules · 2019Article
- The effect of magnesium oxide nanoparticles on the antibacterial and antibiofilm properties of glass-ionomer cement.Heliyon · 2019Article
- A Multispecies Biofilm In Vitro Screening Model of Dental Caries for High-Throughput Susceptibility Testing.High-throughput · 2019Article
- Genotypic characterization and comparison of Streptococcus mutans in American Indian and Southeast Iowa children.Clinical and experimental dental research · 2017Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Mutans streptococci (MS), specifically Streptococcus mutans (SM) and Streptococcus sobrinus (SS), are bacterial species frequently targeted for investigation due to their role in the etiology of dental caries. Differentiation of S. mutans and S. sobrinus is an essential part of exploring the role of these organisms in disease progression and the impact of the presence of either/both on a subject's caries experience. Of vital importance to the study of these organisms is an identification protocol that allows us to distinguish between the two species in an easy, accurate, and timely manner. While conducting a 5-year birth cohort study in a Northern Plains American Indian tribe, the need for a more rapid procedure for isolating and identifying high volumes of MS was recognized. We report here on the development of an accurate and rapid method for MS identification. Accuracy, ease of use, and material and time requirements for morphological differentiation on selective agar, biochemical tests, and various combinations of PCR primers were compared. The final protocol included preliminary identification based on colony morphology followed by PCR confirmation of species identification using primers targeting regions of the glucosyltransferase (gtf) genes of SM and SS. This method of isolation and identification was found to be highly accurate, more rapid than the previous methodology used, and easily learned. It resulted in more efficient use of both time and material resources.
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Registered trials
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.