Efficacy of inducible protein 10 as a biomarker for the diagnosis of tuberculosis

Ji Young Hong, Gyeong Seo Jung, Hyunjung Kim, Young Mi Kim, Hye Jon Lee, Sang Nae Cho, Se Kyu Kim, Joon Chang, Young Ae Kang

Research output: Contribution to journalArticlepeer-review

28 Citations (Scopus)

Abstract

Objective: This study evaluated inducible protein 10 (IP-10) as a diagnostic biomarker for specific tuberculosis (TB) infection and evaluated the ability of IP-10 to distinguish between active TB and latent TB infection (LTBI). Methods: Forty-six patients with active pulmonary TB, 22 participants with LTBI, and 32 non-TB controls were enrolled separately. We measured IP-10 in serum and in supernatants from whole blood stimulated with TB-specific antigens. Results: TB antigen-dependent IP-10 secretion was significantly increased in the active TB patients and LTBI subjects compared with controls, but did not differ significantly between the active TB patients and LTBI subjects. Serum IP-10 levels were higher in active TB than in LTBI (174.9 vs. 102.7. pg/ml, p=0.002). The respective rates of positive responders of TB antigen-dependent IP-10 were 97.8%, 90.9%, and 12.5% in active TB, LTBI, and non-TB controls, respectively. For serum IP-10, 87.5%, 45.5%, and 9.5% of responders were positive in the respective groups. Conclusions: The IP-10 response to TB antigen may constitute a specific biomarker for TB infection, but does not by itself distinguish between active TB and LTBI. Serum IP-10 may enhance the diagnostic performance when used in combination with another marker.

Original languageEnglish
Pages (from-to)e855-e859
JournalInternational Journal of Infectious Diseases
Volume16
Issue number12
DOIs
Publication statusPublished - 2012 Dec

Bibliographical note

Funding Information:
This study was supported by a grant from the Korean Health Technology R&D Project, Ministry for Healthy, Welfare & Family Affairs, Republic of Korea (A101750). The funding source had no role in the process of the study, including the design, sample collection, analysis, and interpretation of results.

All Science Journal Classification (ASJC) codes

  • Microbiology (medical)
  • Infectious Diseases

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