Evidence map›Paper›PMID 32756589›Full record

ArticlePloS one2020

Salivary microRNA 155, 146a/b and 203: A pilot study for potentially non-invasive diagnostic biomarkers of periodontitis and diabetes mellitus.

Natheer H Al-Rawi, Farah Al-Marzooq, Ahmed S Al-Nuaimi, Mahmood Y Hachim, Rifat Hamoudi

Open access · goldAbstract readValidation Study
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 2 pooled it
5.6field-weighted citation impact, top 3% 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

38 citing papers in PubMed, 2 syntheses or guidelines pooled it, 62 citations in OpenAlex.

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  16. International journal of molecular sciences · 2024
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  19. Unique miRomics Expression Profiles inInternational journal of molecular sciences · 2023
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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

5 authors at 4 institutions in 3 countries.

Natheer H Al-RawiDepartment of Oral & Craniofacial Health Sciences, College of Dental Medicine, University of Sharjah, Sharjah, UAE.
Farah Al-MarzooqDepartment of Medical Microbiology & Immunology, College of Medicine and Health Sciences, UAE University, Al Ain, UAE.ORCID 0000-0001-5711-6264
Ahmed S Al-NuaimiPrimary Health Care Corporation (PHCC), Doha, Qatar.
Mahmood Y HachimCollege of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, UAE.
Rifat HamoudiSharjah Institute for Medical Research, College of Medicine, University of Sharjah, Sharjah, UAE.ORCID 0000-0002-1402-0868
University of Sharjah · AEMohammed Bin Rashid University of Medicine and Health Sciences · AEPrimary Health Care · QAUnited Arab Emirates University · AE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dysregulated expression of MicroRNAs (miRNAs) plays substantial role in the initiation and progression of both diabetes and periodontitis. The aim of the present study was to validate four miRNAs in saliva as potential predictive biomarkers of periodontal disease among patients with and without diabetes mellitus (DM). MiRNAs were extracted from the saliva of 24 adult subjects with DM and 29 healthy controls. Each group was subdivided into periodontally healthy or having periodontitis. In silico analysis identified 4 miRNAs (miRNA 155, 146 a/b and 203) as immune modulators. The expression of miRNAs-146a/b, 155, and 203 was tested using quantitative PCR. The expression levels in the study groups were compared to explore the effect of diabetes on periodontal status and vice versa. In our cohort, the four miRNAs expression were higher in patients with periodontitis and/or diabetes. miRNA-155 was the most reliable predictors of periodontitis among non-diabetics with an optimum cut-off value of < 8.97 with accuracy = 82.6%. MiRNA 146a, on the other hand, was the only reliable predictor of periodontitis among subjects with diabetes with optimum cut-off value of ≥11.04 with accuracy = 86.1%. The results of the present study concluded that MiRNA-146a and miRNA155 in saliva provide reliable, non-invasive, diagnostic and prognostic biomarkers that can be used to monitor periodontal health status among diabetic and non-diabetic patients.

Indexed as

AdolescentAdultBiomarkersCase-Control StudiesDiabetes ComplicationsDiabetes MellitusDiscriminant AnalysisFemaleHumansMaleMicroRNAsMiddle AgedPeriodontitisPilot ProjectsSalivaUp-RegulationBiomarkersMicroRNAsMIRN146 microRNA, humanMIRN155 microRNA, humanMIRN203 microRNA, human

Identifiers

PMID32756589
PMCPMC7406085
OpenAlexW3047591997

What OpenQuestion holds

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LicenceCC BY
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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.