〔Abstract〕 Objective To screen potential biomarkers for diagnosis and treatment monitoring of active pulmonary tuberculosis (PTB) by bioinformatics. Methods GSE19444 and GSE19435 gene chip data sets were downloaded from GEO database. GEO2R tool was used to screen differentially expressed genes between active PTB patients and healthy controls. CentiScape plug–in was used to determine the hub gene (Hub gene), and GSE56153 dataset was used to verify the changes of Hub gene during active PTB therapy. Results A total of 505 DEG, were selected from the two data sets, 251 were up–regulated and 254 were down–regulated. The score of module 1 is the highest among the 9 sub–modules of DEG network, and 25 genes are mainly involved in virus defense, interferon signal pathway and other responses. Among the 25 genes, 13 Hub genes were screened. The results showed that the expression levels of up–regulated IFIT3, IFI35, STAT1 and GBP1 decreased signifi cantly in the fi rst diagnosis of active PTB, 8 weeks of treatment, 28 weeks of treatment and the control group. Conclusion The screened IFIT3, IFI35, STAT1 and GBP1 are closely related to the occurrence and treatment of active PTB and are expected to be potential biomarkers for the diagnosis and treatment monitoring of PTB.