Abstract
BackgroundPeriodontitis is a chronic bacterial infection of tooth that increases the risk of systemic diseases like diabetes, cancer, and cardiovascular diseases. Although it has been have found altered lipids in periodontitis patients, its gene regulation is largely unknown. This study aimed to examine the lipid meditated regulatory network in periodontitis that may helpful in early detection of periodontal mediated systemic diseases. MethodsWe employed a high-throughput gene expression data of 1) patients with periodontitis (n = 6); 2) the periodontitis patients with dyslipidemia (n = 6); and 3) healthy control group (n = 6). The over represented (DEGs) genes in SET-A (control vs. periodontitis) and SET-B (control vs. periodontitis with dyslipidemia) was identified. The protein interaction network was generated for the over represented genes in both the conditions. The constructed network was dissected into multiple regulatory clusters, containing over expressed transcription factors with its interacting proteins. Further the behavior of the clusters was determined through gene ontology and molecular pathways. ResultsOn expression analysis, 751 in SET-A and 561 in SET-B were over expressed compared to healthy control. Using over expressed genes, protein interaction networks were constructed for SET-A and SET-B, respectively. Topological analysis revel the difference in the complexity of both the network. Four regulatory clusters (ESR1, FOS, RUNX2, and SP1) from SET-A and six (ESR1, ESR2, FOS, JDP2, PBX1, and TAL1) from the SET-B network was extracted. Each cluster displayed a variety of molecular mechanism associated with immune system, cell cycle, and signal processing. Clusters from SET-B showed diverse regulatory pattern in associated with cancer, neurological, psychiatric and metabolic diseases. ConclusionOur findings demonstrate difference in regulatory patterns between periodontitis and periodontitis with dyslipidemia. These finding may provide evidence for dyslipidemia mediated periodontitis contribute to progressive systemic diseases. Further experiments are required to validate these regulators as biomarkers and drug targets.
Published Version
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