Evidence map›Paper›PMID 25948157›Full record

ArticleInflammation research : official journal of the European Histamine Research Society ... [et al.]2015

The negative feedback regulation of microRNA-146a in human periodontal ligament cells after Porphyromonas gingivalis lipopolysaccharide stimulation.

Shao-Yun Jiang, Dong Xue, Yu-Feng Xie, Dong-Wang Zhu, Yun-Yun Dong, Cong-Cong Wei, Jia-Yin Deng

Abstract read
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In one paragraph

Article in Inflammation research : official journal of the European Histamine Research Society ... [et al.], 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

29 citing papers in PubMed, 43 citations in OpenAlex.

  1. Review
  2. Review
  3. Epigenetic factors associated with peri-implantitis: a review.Journal of Zhejiang University. Science. B · 2025
    Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. MicroRNAs: Harbingers and shapers of periodontal inflammation.Seminars in cell & developmental biology · 2022
    Review
  10. Review
  11. Review
  12. Review
  13. MicroRNA-146a regulates the production of cytokines in lymphocytes stimulated byHua xi kou qiang yi xue za zhi = Huaxi kouqiang yixue zazhi = West China journal of stomatology · 2021
    Article
  14. Ascorbic Acid: A New Player of Epigenetic Regulation in LPS-Oxidative medicine and cellular longevity · 2021
    Article
  15. Article
  16. Article
  17. Maternally-Expressed Gene 3 (MEG3)/miR-143-3p Regulates Injury to Periodontal Ligament Cells by Mediating the AKT/Inhibitory κB Kinase (IKK) Pathway.Medical science monitor : international medical journal of experimental and clinical research · 2020
    Article
  18. Article
  19. Article
  20. MicroRNAs and immunity in periodontal health and disease.International journal of oral science · 2018
    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

7 authors at 2 institutions in 1 country.

Shao-Yun JiangDepartment of Periodontics, Institute of Stomatology, School of Dentistry, Hospital of Stomatology, Tianjin Medical University, Tianjin, 300070, China, jiangshaoyun11@126.com.
Dong Xue
Yu-Feng Xie
Dong-Wang Zhu
Yun-Yun Dong
Cong-Cong Wei
Jia-Yin Deng
Tianjin Medical University · CNShanghai Ninth People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveToll-like receptors (TLRs) pathway has been demonstrated to play an important role in periodontitis. However, the regulatory mechanism of microRNAs (miRNAs) on TLRs pathway is still unclear. Hence, this study is to explore the function of miRNA-146a in inflammatory reaction induced by Porphyromonas gingivalis lipopolysaccharide (LPS) in human periodontal ligament cells (hPDLCs).

methodsCells were treated with 1 or 10 μg/ml P. gingivalis LPS. The expression of TLR2, TLR4 and miRNA-146a were measured by real-time polymerase chain reaction (PCR). Enzyme-linked immunosorbent assay (ELISA) was applied to detect nuclear factor (NF)-κ B p65 nuclear activity, interleukin-1β (IL-1β), IL-6, IL-8 and tumor necrosis factor-α (TNF-α). To examine the underlying mechanisms, cells were exposed to anti-TLR2/4 mAb or miRNA-146a inhibitor/mimic and evaluated by real-time PCR and ELISA.

results10 μg/ml P. gingivalis LPS increased the expressions of TLR2 (3.79 ± 0.31), TLR4 (2.21 ± 0.31), and miRNA-146a (4.91 ± 0.87), NF-κ B p65 nuclear activity (6.51 ± 0.77 fold) (p < 0.05). 1 μg/ml P. gingivalis LPS induced TLR2 (3.05 ± 0.23), miRNA-146a (3.66 ± 0.83) and NF-κ B p65 nuclear activity (4.06 ± 0.78 fold) (p < 0.05), except TLR4 (1.11 ± 0.30, p > 0.05). Also, cytokines production increased (p < 0.05). The up-regulation of miRNA-146a could be blocked by anti-TLR2/4 mAb (p < 0.05). After the blockage of miRNA-146a, TLR2, TLR4, NF-κ B p65 nuclear activity and proinflammatory cytokines increased. However, after application of miRNA-146a mimic, the levels of these indexes decreased obviously (p < 0.05).

conclusionMiRNA-146a functions as a negative feedback regulator via down-regulating proinflammatory cytokine secretion and blocking TLRs signaling pathway in hPDLCs after P. gingivalis LPS stimulation.

Indexed as

Antibodies, MonoclonalCells, CulturedFeedback, PhysiologicalHumansLipopolysaccharidesMicroRNAsNF-kappa BPeriodontal LigamentPorphyromonas gingivalisStimulation, ChemicalToll-Like Receptor 2Toll-Like Receptor 4Tumor Necrosis Factor-alphaAntibodies, MonoclonalLipopolysaccharidesMicroRNAsMIRN146 microRNA, humanNF-kappa BTLR2 protein, humanTLR4 protein, humanToll-Like Receptor 2Toll-Like Receptor 4Tumor Necrosis Factor-alpha

Identifiers

PMID25948157
OpenAlexW216693543

What OpenQuestion holds

Textmetadata
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.