Exploration of the diagnostic value and expression levels of IFN-γ and IL-2 in patients with lymph node tuberculosis
DOI:
https://doi.org/10.3855/jidc.22313Keywords:
lymph node tuberculosis, IFN-γ, IL-2, diagnosis, biomarkerAbstract
Introduction: Lymph node tuberculosis (LNTB) is the most common form of extrapulmonary tuberculosis (TB). The symptoms of LNTB lack specificity, making diagnosis difficult and increasing the likelihood of missed or incorrect diagnoses. Along with IFN-γ Release Assay (IGRA), the detection method using enzyme-linked immunosorbent assay (ELISA) can simultaneously detect IFN-γ and interleukin-2 (IL-2). However, the diagnostic value and expression levels of IFN-γ and IL-2 in patients with LNTB remain unclear.
Methodology: A total of 95 patients with enlarged lymph nodes were enrolled. Baseline data were collected, including age, gender, history of TB, histopathology, microbiology test results, and blood levels of IFN-γ and IL-2. Receiver operating characteristic (ROC) curve was used to investigate the diagnostic effect of the IFN-γ and IL-2. A double antibody sandwich ELISA was used to detect the concentrations of IFN-γ and IL-2 in culture supernatants.
Results: Based on ROC curves, the cut-off values for IFN-γ/IL-2 for differentiating LNTB from non-TB-lymphadenopathy (LAP) were determined to be 58.267 and 12.207 pg/mL, respectively. In patients with LNTB and non-TB-LAP, the sensitivity of IFN-γ/IL-2 in parallel was 83.33% (95% CI: 71.71–90.99), significantly higher (p < 0.05) than that for IFN-γ alone. The highest specificity (93.10%) (95% CI: 75.78–98.8) was observed when IFN-γ and IL-2 were applied in tandem.
Conclusions: The combined detection of IFN-γ and IL-2 showed good diagnostic efficacy in LNTB. In addition, in patients diagnosed with LNTB, the expression level of IL-2 may be related to the burden of MTB and the severity of TB infection.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Chun Zhang, Yu Chen, Jun Huang, Ying Liu, Hao Zhang, Tianxing Hang, Lili Huang, Jianqi Gao, Chunmei Hu

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).

