ArticleHua xi kou qiang yi xue za zhi = Huaxi kouqiang yixue zazhi = West China journal of stomatology2015
[Programmed death ligand 1 negatively regulates inflammatory response of chronic periodontitis].
Article in Hua xi kou qiang yi xue za zhi = Huaxi kouqiang yixue zazhi = West China journal of stomatology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed, 8 citations in OpenAlex.
- Infectious and Immunological Links Between Periodontitis and COVID-19: A Review.Medical science monitor : international medical journal of experimental and clinical research · 2025Review
- Article
- The role of programmed death receptor (PD-)1/PD-ligand (L)1 in periodontitis and cancer.Periodontology 2000 · 2024Review
- Correlation between PD-1/PD-L1 and RANKL/OPG in chronic apical periodontitis model of Sprague-Dawley rats.Odontology · 2024Article
- The implication of the PD-1/PD-L1 checkpoint in chronic periodontitis suggests novel therapeutic opportunities with natural products.The Japanese dental science review · 2020Review
- Article
- Detection of Exosomal PD-L1 RNA in Saliva of Patients With Periodontitis.Frontiers in genetics · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo investigate whether programmed death ligand 1 (PD-L1) expressed in the periodontal tissue of chronic periodontitis and the correlativity of PD-L1 and different degrees of chronic periodontitis, provide experience for immunoregulation mechanism, clinical treatment and prognosis of chronic periodontitis.
methodsGingiva and periodontal tissue of healthy people and chronic periodontitis patients were collected. Based on clinical probing, periodontal tissue were classified into three groups: periodontal tissues of healthy people, periodontal tissue of mild chronic periodontitis, periodontal tissue of severe chronic periodontitis. Fluorescent quantitation polymerase chain reaction was applied to explore the expression of PD-L1 mRNA in the periodontal tissue of the different groups. Western blot and immunohistochemistry method were utilized to test the expression of PD-L1 protein in the periodontal tissue of the different groups. Combining with clinical image data, the relationship between differentially expressions of PD-L1 and different degrees of chronic periodontitis was analyzed.
resultsThe relative expression quantity of PD-L1 in the periodontal tissue of the mild chronic periodontitis was significantly higher that of the severe chronic periodontitis (P<0.01). The relative expression quantity of PD-L1 in the periodontal tissue of healthy subjects and severe chronic periodontitis had no statistical significance (P>0.05).
conclusionThe expression of PD-L1 in the periodontal tissue negativelv regulates inflammatory periodontal tissue damage.
Indexed as
Identifiers
26552238PMC7030469W2191839366What OpenQuestion holds
Registered trials
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.