ArticlePloS one2018
Secretory microRNA-29 expression in gingival crevicular fluid during orthodontic tooth movement.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.
What it found
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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
22 citing papers in PubMed, 3 syntheses or guidelines pooled it, 37 citations in OpenAlex.
- MicroRNAs in Oral Bio-Fluids as Predictive Biomarkers of Orthodontic Tooth Movement: A Systematic Review.Orthodontics & craniofacial research · 2026Pooled it
- The Potential of Gingival Crevicular Fluid as a Tool for Molecular Diagnosis: A Systematic Review.BioMed research international · 2024Pooled it
- MicroRNAs in oral fluids (saliva and gingival crevicular fluid) as biomarkers in orthodontics: systematic review and integrated bioinformatic analysis.Progress in orthodontics · 2021Pooled it
- Impact of periodontal microRNAs associated with alveolar bone remodeling during orthodontic tooth movement: a randomized clinical trial.Journal of translational medicine · 2024Trial
- Application of the miRNAs as biomarkers and therapeutic strategies in periodontal inflammation.Frontiers in pharmacology · 2026Review
- Characterization of a periodontal-inflammatory microRNA profile during multibracket orthodontic treatment in adolescents.Scientific reports · 2025Article
- Identification of Salivary Exosome-Derived miRNAs as Potential Biomarkers of Bone Remodeling During Orthodontic Tooth Movement.International journal of molecular sciences · 2025Article
- Emerging roles of exosomes in oral diseases progression.International journal of oral science · 2024Review
- MicroRNAs in maxillofacial bone modeling and remodeling: implications for malocclusion development and orthodontic treatment.Frontiers in cell and developmental biology · 2024Review
- Tissue Engineering Supporting Regenerative Strategies to Enhance Clinical Orthodontics and Dentofacial Orthopaedics: A Scoping, Perspective Review.Biomedicines · 2023Review
- Role of noncoding RNAs in orthodontic tooth movement: new insights into periodontium remodeling.Journal of translational medicine · 2023Review
- Exosomal miR-205-5p derived from periodontal ligament stem cells attenuates the inflammation of chronic periodontitis via targeting XBP1.Immunity, inflammation and disease · 2023Article
- Role of mechano-sensitive non-coding RNAs in bone remodeling of orthodontic tooth movement: recent advances.Progress in orthodontics · 2022Review
- Comprehensive analysis of M2 macrophage-derived exosomes facilitating osteogenic differentiation of human periodontal ligament stem cells.BMC oral health · 2022Article
- MicroRNA Modulation during Orthodontic Tooth Movement: A Promising Strategy for Novel Diagnostic and Personalized Therapeutic Interventions.International journal of molecular sciences · 2022Review
- Applications of Biotechnology to the Craniofacial Complex: A Critical Review.Bioengineering (Basel, Switzerland) · 2022Review
- New frontiers of oral sciences: Focus on the source and biomedical application of extracellular vesicles.Frontiers in bioengineering and biotechnology · 2022Review
- Biomechanical and biological responses of periodontium in orthodontic tooth movement: up-date in a new decade.International journal of oral science · 2021Review
- A Bioinformatics Systems Biology Analysis of the Current Oral Proteomic Biomarkers and Implications for Diagnosis and Treatment of External Root Resorption.International journal of molecular sciences · 2021Review
- Biosensor and Lab-on-a-chip Biomarker-identifying Technologies for Oral and Periodontal Diseases.Frontiers in pharmacology · 2020Review
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
Secretory microRNAs (miRNAs) have been used increasingly as biomarkers for cancers, autoimmune diseases and inflammatory diseases. They are reported as being freely circulated or encapsulated in microvesicles such as exosomes. This study was performed to elucidate the presence of miRNAs with exosomes in human gingival crevicular fluid (GCF), and the expression profile of miRNA-29 during orthodontic tooth movement. Four healthy volunteer and fifteen orthodontic patients were enrolled in the study. Secretory miRNA in GCF was collected and analyzed using a bioanalyzer, realtime PCR and Western blot analysis. The expression profile of secretory miR-29 family in GCF was analyzed during the course of canine retraction for 6 weeks. The results demonstrated the presence of miRNAs in the GCF. After series of ultracentrifugation and RT-PCR array, exosome-depleted fractions and pellets were isolated and we found that secretory miRNAs were detected in both the exosome-associated fraction and the exosome-depleted supernatant fraction; however, the concentration of miRNAs was higher in the exosome-associated fraction than in the exosome-depleted fraction suggesting a close association between the secretory miRNAs and exosomes in GCF. We also demonstrated the increased expression profiles of miR-29 family during six weeks of orthodontic tooth movement in humans. Secretory miRNAs are present in GCF and secretory miRNA-29 family expression profiles increase during the tooth movement in humans. Secretory miRNA-29 in GCF could serve as potential biomarkers for periodontal remodeling.
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What 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.