In this study, the investigators evaluated molecular biomarkers which play a role in the development of generalized aggressive periodontitis (GAgP) using gingival tissue samples through omics-based whole-genome transcriptomic while using healthy individuals as background controls.
Aggressive periodontitis (AgP) is an inflammatory periodontal disease which is complex, multifactorial, and destructive. Progression and severity of the disease depend on interacting risk factors such as: immunological, microbiological, environmental, and genetic factors, as well as age, sex, and race.Some patients are genetically predisposed to AgP; they have immunological abnormalities, which are thought to be under genetic control. However, high susceptibility for periodontal destruction and the relationship between inflammatory changes, and genetic factors remain unclear. Gene expression profiling is a powerful means of generating comprehensive genome-level data sets on diseases such as cancer, asthma, rheumatoid disorders and periodontitis, and provides significant insight information for these diseases. Gene expression profiling may provide an evidence for involving genes in the pathogenesis of AgP and generate further information other than clinical signs and symptoms of AgP. The aim of this study was to identify gene-expression patterns of patients with generalized aggressive periodontitis by whole-transcriptome gene-expression analyses.
Study Type
OBSERVATIONAL
Enrollment
60
mRNA quantification
Time frame: 2 months
Definition of gen networking and new molecular pathways
Time frame: 2 months
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