Evidence map›Paper›PMID 40822509›Full record

ArticleJournal of oral biology and craniofacial research

Modulation of the salivary microbiome using deep-sea marine bacterial strains: A pilot study.

Krishnasamy Nitya, Aishwarya Arya, Kochli Channapa Niranjan, Vikram S Amberkar

Abstract read
In one paragraph

Article in Journal of oral biology and craniofacial research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Krishnasamy NityaDepartment of Oral Biology, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, 600077, India.
Aishwarya AryaDepartment of Conservative Dentistry and Endodontics, Awadh Dental College and Hospital, Jamshedpur, Jharkhand, India.
Kochli Channapa NiranjanDepartment of Oral and Maxillofacial Pathology, SDM College of Dental Sciences, Dharwad, Karnataka, India.
Vikram S AmberkarDepartment of Oral and Maxillofacial Pathology College of Dental Sciences, Davangere, Karnataka, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The oral microbiome is a critical determinant of both local and systemic health. Dysbiosis, particularly the overgrowth of pathogenic taxa, is implicated in various oral diseases and may contribute to extraoral inflammatory conditions. Although probiotics derived from gut commensals have shown some efficacy, their application to the oral cavity is limited by environmental incompatibility. Marine bacteria, especially those adapted to extreme environments, offer a novel therapeutic avenue due to their inherent antimicrobial and biofilm-disruptive properties. Aim: This pilot study investigated the potential of deep-sea marine bacterial strains- Methods: A randomized, controlled, two-arm parallel design was employed involving 20 healthy adult participants. Subjects were assigned either to a Treatment Group (n = 10), receiving a marine-derived bacterial mouthwash for seven days, or a Control Group (n = 10) with no intervention. Unstimulated saliva samples were collected at baseline and post-intervention. Microbial profiling was conducted using 16S rRNA gene sequencing and species-specific quantitative PCR. Analyses included paired t-tests, Principal Component Analysis (PCA), and microbial network inference to assess changes in microbial abundance and community structure. Results: The Treatment Group demonstrated statistically significant reductions in Conclusion: The application of marine-derived bacterial strains was associated with favorable modulation of the oral microbiome, including suppression of key pathogens and enhancement of beneficial taxa. While preliminary, these findings highlight the therapeutic promise of marine probiotics as a biologically selective and ecologically supportive approach to oral health. Larger, placebo-controlled studies are warranted to confirm efficacy, assess long-term effects, and evaluate clinical outcomes.

Indexed as

Biofilm disruptionMarine bacteriaMicrobial dysbiosisOral microbiomeProbioticsSalivary ecology

Identifiers

PMID40822509
PMCPMC12355043

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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.