Evidence map›Paper›PMID 39068455›Full record

ArticleBMC oral health2024

Expression of miRNAs (146a and 155) in human peri-implant tissue affected by peri-implantitis: a case control study.

Munir Nasr Hamed, Hayder Raad Abdulbaqi

Abstract read
In one paragraph

Article in BMC oral health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Photodynamic Therapy Modulates pri-miRNA Expression inCurrent issues in molecular biology · 2025
    Article
  7. Review
  8. Review
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

2 authors.

Munir Nasr HamedDepartment of Periodontics, College of Dentistry, University of Baghdad, Baghdad, Iraq.
Hayder Raad AbdulbaqiDepartment of Periodontics, College of Dentistry, University of Baghdad, Baghdad, Iraq. hayderraad@codental.uobaghdad.edu.iq.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn literature, the levels of miRNA-146a and miRNA-155 are increased in periodontitis. Limited data are available regarding the expression of miRNA-146a and miR-NA-155 in diseased human peri-implant tissue. Therefore, the objective of this study was to explore the expression of miRNA-146a and miRNA-155 in human gingival peri-implant tissue affected by peri-implantitis.

methodsAfter recording the clinical parameters, human peri-implant pocket tissues were harvested from sites diagnosed with peri-implantitis (n = 15 cases) in addition to healthy peri-implant sulcus tissues (n = 15 controls). The levels of miRNA-146a and miRNA-155 were assessed using real-time qPCR.

resultsCases exhibited a significantly higher mean expression of miRNA-155 (5.2-fold increase) and miRNA-146a (2.8-fold increase) than controls. MiRNA-155 and miRNA-146a demonstrated an appropriate sensitivity (87.5% and 87.5%, respectively) and specificity (73.3% and 66.7%, respectively) in discriminating cases from controls. A moderate correlation (r = 0.544, p = 0.029) was found between miRNA-155 and miRNA-146a levels in the case group.

conclusionsThe expressions of miRNA-146a and miR-NA-155 are different between healthy and peri-implantitis affected tissues. Both miRNAs might potentially able to discriminate healthy from peri-implantitis affected tissues.

Indexed as

MicroRNAsPeri-ImplantitisAdultAgedCase-Control StudiesDental ImplantsFemaleGingivaHumansMaleMiddle AgedPeriodontal PocketReal-Time Polymerase Chain ReactionDental ImplantsMicroRNAsMIRN146 microRNA, humanMIRN155 microRNA, humanDental implantHumansmicroRNAsPeri-implantitisqPCRRNA

Identifiers

PMID39068455
PMCPMC11283691

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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.