Literature DB >> 31021403

Identification of a novel salivary biomarker miR-143-3p for periodontal diagnosis: A proof of concept study.

K J Nisha1, Presanthila Janam2, K Harshakumar3.   

Abstract

BACKGROUND: Though the use of salivary miRNAs as potential biomarkers has been reported in few diseases/conditions such as rheumatoid arthritis and oral cancer, there are no reported studies on their utility in periodontal diagnostics. Thus, the aim of the present study was to profile salivary miRNAs and identify the most suitable salivary miRNA biomarker in chronic periodontitis.
METHODS: In this study, we have explored the potential application of next generation sequencing (NGS) technology for profiling miRNAs in two unstimulated saliva samples collected by passive drool method from a patient diagnosed with generalized chronic periodontitis and a healthy control. Subsequently, the validation of most highly expressed known miRNA in periodontitis was performed in saliva samples collected from an independent set of 16 chronic periodontitis patients and 16 periodontally healthy controls using quantitative real-time PCR (qRT-PCR). Target gene prediction and pathway mapping were performed using bioinformatic tools.
RESULTS: NGS analysis identified 40 upregulated and 40 downregulated known miRNAs in chronic periodontitis compared to healthy controls, of which miR-143-3p was the most highly expressed miRNA in periodontitis (Read count - 227630; fold change - 5.82). Validation using qRT-PCR showed significant upregulation of miR-143-3p expression in the test group compared with controls (P < 0.05). K-RAS (V-Ki-ras2 Kirsten rat sarcoma viral oncogene) gene was predicted as the target gene for miR-143-3p in humans. KEGG (Kyoto Encyclopedia of genes and genomes) pathway mapping revealed the involvement of K-RAS in mitogen-activated protein kinases (MAPK) pathway.
CONCLUSIONS: The application of NGS for miRNA expression profiling can be considered a valuable tool in detection of novel biomarkers in periodontal diagnostics. Also, the results of the study points to the potential utility of miR143-3p as a novel salivary biomarker for chronic periodontitis.
© 2019 American Academy of Periodontology.

Entities:  

Keywords:  biomarkers; chronic periodontitis; high-throughput nucleotide sequencing; microRNAs; saliva

Year:  2019        PMID: 31021403     DOI: 10.1002/JPER.18-0729

Source DB:  PubMed          Journal:  J Periodontol        ISSN: 0022-3492            Impact factor:   6.993


  8 in total

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Journal:  Med Sci Monit       Date:  2020-06-10

Review 2.  Biosensor and Lab-on-a-chip Biomarker-identifying Technologies for Oral and Periodontal Diseases.

Authors:  Larissa Steigmann; Shogo Maekawa; Corneliu Sima; Suncica Travan; Chin-Wei Wang; William V Giannobile
Journal:  Front Pharmacol       Date:  2020-11-09       Impact factor: 5.810

3.  Expression of MicroRNAs in Periodontal Disease: A Systematic Review.

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Journal:  Biomed Res Int       Date:  2021-01-19       Impact factor: 3.411

4.  MicroRNAs and periodontal disease: a qualitative systematic review of human studies.

Authors:  Pablo Micó-Martínez; Pedro J Almiñana-Pastor; Francisco Alpiste-Illueca; Andrés López-Roldán
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5.  MicroRNA expression profiles in peri-miniscrew implant crevicular fluid in orthodontics: a pilot study.

Authors:  Wendan He; Yanru Yang; Longgan Cai; Qiaoling Lei; Zhongdong Wang; Xiaoxia Che
Journal:  BMC Oral Health       Date:  2021-12-18       Impact factor: 2.757

Review 6.  Next generation sequencing-based salivary biomarkers in oral squamous cell carcinoma.

Authors:  Buyanbileg Sodnom-Ish; Mi Young Eo; Hoon Myoung; Jong Ho Lee; Soung Min Kim
Journal:  J Korean Assoc Oral Maxillofac Surg       Date:  2022-02-28

Review 7.  Expression of MicroRNAs in Periodontal and Peri-Implant Diseases: A Systematic Review and Meta-Analysis.

Authors:  Farah Asa'ad; Carlos Garaicoa-Pazmiño; Christer Dahlin; Lena Larsson
Journal:  Int J Mol Sci       Date:  2020-06-10       Impact factor: 5.923

8.  Immune landscape of periodontitis unveils alterations of infiltrating immunocytes and molecular networks-aggregating into an interactive web-tool for periodontitis related immune analysis and visualization.

Authors:  Xiaoqi Zhang; Qingxuan Wang; Xinyu Yan; Yue Shan; Lu Xing; Minqi Li; Hu Long; Wenli Lai
Journal:  J Transl Med       Date:  2020-11-18       Impact factor: 5.531

  8 in total

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