Evidence map›Paper›PMID 42482995›Full record

ArticleFrontiers in cellular and infection microbiology2026

Integration of periodontal pathogens and inflammatory mediators in saliva as biomarkers for periodontitis.

Carl Titusson, Anna Lundmark, Ruben R G Soares, Anastasios Damdimopoulos, Gunnar Johannsen, Umear Naseem, Tülay Yucel-Lindberg

Abstract read
In one paragraph

Article in Frontiers in cellular and infection 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.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Carl TitussonDepartment of Dental Medicine, Division of Pediatric Dentistry, Karolinska Institutet, Huddinge, Sweden.
Anna LundmarkDepartment of Dental Medicine, Division of Pediatric Dentistry, Karolinska Institutet, Huddinge, Sweden.
Ruben R G SoaresAplex Bio AB, Solna, Sweden.
Anastasios DamdimopoulosBioinformatics and Expression Analysis Core Facility, Karolinska Institutet, Stockholm, Sweden.
Gunnar JohannsenDepartment of Dental Medicine, Division of Periodontology, Karolinska Institutet, Huddinge, Sweden.
Umear NaseemAplex Bio AB, Solna, Sweden.
Tülay Yucel-LindbergDepartment of Dental Medicine, Division of Pediatric Dentistry, Karolinska Institutet, Huddinge, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/Objective: Periodontitis pathogenesis is driven by oral microbiome dysbiosis and dysregulated host immune responses. This cross-sectional study characterized salivary microbiome and inflammatory mediator profiles to identify candidate biomarkers distinguishing periodontal health from periodontitis (PD) using hyperplex PCR, multiplex assay and exploratory machine learning. Materials and methods: Stimulated saliva samples from 57 participants (28 periodontally healthy, 29 with PD stage III/IV) were collected and analyzed using Hyperplex PCR (simultaneously amplifying multiple targets in a single assay) for oral bacteria and a multiplex immunoassay including 37 inflammatory mediators. Random forest modeling explored the discriminatory performance of individual and combined biomarkers. Results: Individuals with PD stage III/IV showed elevated relative abundance of Conclusion: In exploratory unadjusted analyses, salivary

Indexed as

BacteriaBiomarkersInflammation MediatorsPeriodontitisSalivaAdultCross-Sectional StudiesFemaleHumansMaleMicrobiotaMiddle AgedBiomarkersInflammation Mediatorsbiomarkerhost responseInflammatory mediatormicrobiomeperiodontitissaliva

Identifiers

PMID42482995
PMCPMC13384854

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.