Evidence map›Paper›PMID 38515006›Full record

ArticleOral diseases2024

Investigating the role of salivary Interleukin-40 levels in diagnosing periodontal diseases.

Fatma Köksel Babun, Nezahat Arzu Kayar, Mükerrem Hatipoğlu

Open access · hybridAbstract read
In one paragraph

Article in Oral diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.0field-weighted citation impact, top 15% of its field
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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
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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 at 1 institution in 1 country.

Fatma Köksel BabunDepartment of Periodontology, Akdeniz University Faculty of Dentistry, Antalya, Turkey.
Nezahat Arzu KayarDepartment of Periodontology, Akdeniz University Faculty of Dentistry, Antalya, Turkey.ORCID 0000-0002-2325-2900
Mükerrem HatipoğluDepartment of Periodontology, Akdeniz University Faculty of Dentistry, Antalya, Turkey.
Akdeniz University · TR

Funding

Akdeniz University Office of Scientific Research Projects TDK-2021-5681
6 · The paper itself

Abstract

backgroundThe present study aimed to analyze IL-40, IL-1β, and MMP-8 levels in periodontitis as well as gingivitis and periodontal health, and to explore potential correlations between these biomarkers and standard clinical parameters. MATERIALS AND

methodsWe collected saliva samples from 120 systemically healthy, non-smoking individuals aged between 18 and 63 years. These individuals were divided into three groups: healthy controls [S], gingivitis [G], and stage III grade B periodontitis [P]. IL-40, IL-1β, and MMP-8 levels in saliva samples were analyzed by ELISA.

resultsWe observed significantly elevated salivary IL-40 levels in the G group compared to the S group (p = 0.003). We found significantly higher salivary IL-1β levels in the P group compared to both the S and G groups (p = 0.000). Salivary MMP-8 levels were significantly higher in the P group than in the S group (p = 0.016).

conclusionOur study suggests that IL-40 and IL-1β may serve as effective salivary biomarkers for diagnosing gingivitis, while MMP-8 and IL-1β may be effective for distinguishing periodontitis. Based on our study's findings, it can be stated that IL-40 may serve as a new and effective biomarker for distinguishing individuals with gingivitis from healthy ones.

Indexed as

BiomarkersGingivitisInterleukin-1betaMatrix Metalloproteinase 8SalivaAdolescentAdultCase-Control StudiesFemaleHumansMaleMiddle AgedPeriodontitisYoung AdultBiomarkersInterleukin-1betaMatrix Metalloproteinase 8MMP8 protein, humangingivitisInterleukin‐1βInterleukin‐40MMP‐8periodontitissaliva

Identifiers

PMID38515006
PMCPMC11610694
OpenAlexW4393076916

What OpenQuestion holds

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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.