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International Journal of Oral Science ; (4): 212-216, 2013.
Article in English | WPRIM | ID: wpr-358171

ABSTRACT

Cellular fibronectin (cFn) is a type of bioactive non-collagen glycoprotein regarded as the main substance used to maintain periodontal attachment. The content of cFn in some specific sites can reflect the progress of periodontitis or peri-implantitis. This study aims to evaluate the expression of cFn messenger RNA (mRNA) in tissues of adult periodontitis and peri-implantitis by real-time fluorescent quantitative polymerase chain reaction (PCR) and to determine its clinical significance. A total of 30 patients were divided into three groups of 10: healthy, adult periodontitis and peri-implantitis. Periodontal tissue biopsies (1 mm×1 mm×1 mm) from each patient were frozen in liquid nitrogen. Total RNA was extracted from these tissues, and the content, purity and integrity were detected. Specific primers were designed according to the sequence, and the mRNA expression levels of cellular fibronectin were detected by real-time PCR. The purity and integrity of the extracted total RNA were both high, and the specificity of amplified genes was very high with no other pollution. The mRNA expression of cFn in the adult periodontitis group (1.526±0.441) was lower than that in the healthy group (3.253±0.736). However, the mRNA expression of cFn in the peri-implantitis group (3.965±0.537) was significantly higher than that in the healthy group. The difference revealed that although both processes were destructive inflammatory reactions in the periodontium, the pathomechanisms were different and the variation started from the transcription level of the cFn gene.


Subject(s)
Adult , Female , Humans , Male , Middle Aged , Young Adult , Alveolar Bone Loss , Metabolism , Fibronectins , Genetics , Gingiva , Metabolism , Peri-Implantitis , Metabolism , Periodontal Attachment Loss , Metabolism , Periodontal Index , Periodontal Pocket , Metabolism , Periodontitis , Metabolism , Periodontium , Metabolism , RNA, Messenger , Real-Time Polymerase Chain Reaction , Transcription, Genetic , Genetics
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