Analysis of real-time PCR () gene expression to identify new biomarkers inflammation in tuberculosis.

Background: Diagnosis of tuberculosis (TB) in the era of technological sophistication requires accuracy and speed to provide as much information as possible so that TB treatment can be carried out quickly and precisely. New studies have also begun to be carried out to diagnose TB, one of which is by examining genes, either by looking at polymorphisms, mutations, or expressions. Several previous studies have confirmed the association of and TB genes with polymorphisms; is a gene that participates in the regulation of the inflammatory process and is also found in macrophages; therefore, we tried to analyze gene expression in the active TB group, household contacts, and healthy controls for looked at the differences between the three groups and confirmed the correlation of with TB by seeing which group's gene expression increased the most expression of the three groups so that the results can be considered as a TB diagnostic biomarker in the future.

Methods: This study included 122 people, 49 patients with confirmed TB, 46 close relatives of patients, and 27 healthy controls. This study used a real-time PCR technique to analyze gene expression in the three groups, and all data were analyzed using Bio-Rad CFXTM software version 3.1 and one-way ANOVA using SPSS 21.0.

Results: The value of gene expression in the active TB group increased 3.6-fold in the healthy group ( = 0.143), and that of gene expression in the healthy control group increased 1.09-fold in the healthy group ( = 0.007).

Conclusion: There is a relationship between and TB based on the results of gene expression analysis that increased in the active TB group compared to the household contact group and healthy controls.