ReviewJournal of oral microbiology2026
Oral dysbiosis: methodological evolution, the mobile resistome and the future of machine learning in dentistry.
Review in Journal of oral microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The oral microbiome acts as a significant, yet often overlooked, reservoir for antimicrobial resistance genes (ARGs). This review examines the role of the human resistome in oral health, evaluating current knowledge on the composition, function and dissemination of ARGs within the oral cavity. By comparing conventional culture-based methodologies against recent whole-genome sequencing (WGS) studies, we assess the critical role of the oral‒gut axis in resistance dissemination. The current literature indicates that horizontal gene transfer (HGT) facilitates the spread of mobile genetic elements within oral biofilms. Crucially, oral commensals, such as
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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.