Unknown

Dataset Information

Identification of biomarkers for periodontal disease using the immunoproteomics approach.


ABSTRACT:

Background

Periodontitis is one of the most common oral diseases associated with the host's immune response against periodontopathogenic infection. Failure to accurately diagnose the stage of periodontitis has limited the ability to predict disease status. Therefore, we aimed to look for reliable diagnostic markers for detection or differentiation of early stage periodontitis using the immunoprotemic approach.

Method

In the present study, patient serum samples from four distinct stages of periodontitis (i.e., mild chronic, moderate chronic, severe chronic, and aggressive) and healthy controls were subjected to two-dimensional gel electrophoresis (2-DE), followed by silver staining. Notably, we consistently identified 14 protein clusters in the sera of patients and normal con

SUBMITTER: Kerishnan JP 

PROVIDER: S-EPMC5012327 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature