ArticlePloS one2016
Combined Analysis of IFN-γ, IL-2, IL-5, IL-10, IL-1RA and MCP-1 in QFT Supernatant Is Useful for Distinguishing Active Tuberculosis from Latent Infection.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 5 of them syntheses that pooled it.
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Who cites it
37 citing papers in PubMed, 5 syntheses or guidelines pooled it, 72 citations in OpenAlex.
- Diagnostic performance of biomarkers for differentiating active tuberculosis from latent tuberculosis: a systematic review and Bayesian network meta-analysis.Frontiers in microbiology · 2024Pooled it
- Is interleukin-2 an optimal marker for diagnosing tuberculosis infection? A systematic review and meta-analysis.Annals of medicine · 2020Pooled it
- Pooled it
- The meta-analysis for ideal cytokines to distinguish the latent and active TB infection.BMC pulmonary medicine · 2020Pooled it
- Gaps in Study Design for Immune Parameter Research for Latent Tuberculosis Infection: A Systematic Review.Journal of immunology research · 2020Pooled it
- Serum level of IL-1ra was associated with the treatment of latent tuberculosis infection in a Chinese population.BMC infectious diseases · 2020Trial
- Usefulness of the combined IFN-γ and IL-2 release test in distinguishing between pulmonary tuberculosis and non-pulmonary tuberculosis.BMC infectious diseases · 2026Article
- Evaluating the expression level of serum Interleukin-2, lipoarabinomannan and circulating MicroRNA-29a as diagnostic biomarkers for pulmonary and extra-pulmonary tuberculosis: a pilot study.Annals of medicine · 2025Article
- IL-5 and IP-10 Detected in Quantiferon Supernatants Distinguish Latent Tuberculosis from Healthy Individuals in Areas with High Burden in Lima, Peru.Pathogens (Basel, Switzerland) · 2025Article
- Analysis of the clinical value and influencing factors of combined detection of tuberculosis-specific cytokines IFN-γ and IL-2 in the diagnosis of active tuberculosis in children and adolescents.European journal of medical research · 2025Article
- The blood biomarker combination IL-8/IL-33 and IL-18/IL-33 distinguish between active tuberculosis and latent infection.Infection · 2025Article
- Tuberculosis vaccines and therapeutic drug: challenges and future directions.Molecular biomedicine · 2025Review
- Differentiating Latent Tuberculosis from Active Tuberculosis Through Activation Phenotypes and Chemokine Markers HLA-DR, CD38, MCP-1, and RANTES: A Systematic Review and Meta-Analysis.Biomarker insights · 2025Article
- Multiple cytokine analysis based on QuantiFERON-TB gold plus in different tuberculosis infection status: an exploratory study.BMC infectious diseases · 2024Article
- Combined analysis of host IFN-γ, IL-2 and IP-10 as potential LTBI biomarkers in ESAT-6/CFP-10 stimulated blood.Frontiers in molecular medicine · 2024Article
- Challenges and the Way forward in Diagnosis and Treatment of Tuberculosis Infection.Tropical medicine and infectious disease · 2023Review
- Cytokine/chemokine profiles in people with recent infection byFrontiers in immunology · 2023Article
- Diagnosis and biomarkers for ocular tuberculosis: From the present into the future.Theranostics · 2023Review
- Dynamics of Mycobacterium tuberculosis-Specific and Nonspecific Immune Responses in Women with Tuberculosis Infection during Pregnancy.Microbiology spectrum · 2022Article
- Evidence, Challenges, and Knowledge Gaps Regarding Latent Tuberculosis in Animals.Microorganisms · 2022Review
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The QuantiFERON®-TB Gold In-Tube test (QFT), an interferon-γ release assay, is used to diagnose Mycobacterium tuberculosis, but its inaccuracy in distinguishing active tuberculosis from latent infection is a major concern. There is thus a need for an easy and accurate tool for achieving that goal in daily clinical settings. This study aimed to identify candidate cytokines for specifically differentiating active tuberculosis from latent infection. Our study population consisted of 31 active TB (tuberculosis) patients, 29 LTBI (latent tuberculosis infection) patients and 10 healthy control subjects. We assayed for 27 cytokines in QFT supernatants of both specific antigen-stimulated blood samples (TBAg) and negative-control samples (Nil). We analyzed their specificities and sensitivities by creating receiver operating characteristic (ROC) curves and measuring the area under those curves (AUCs). In TBAg-Nil supernatants, IL-10, IFN-γ, MCP-1 and IL-1RA showed high AUCs of 0.8120, 0.7842, 0.7419 and 0.7375, respectively. Compared with each cytokine alone, combined assay for these top four cytokines showed positive rates in diagnosing active TB, and GDA analysis revealed that MCP-1 and IL-5 are potent in distinguishing active TB from LTBI, with Wilk's lambda = 0.718 (p < 0.001). Furthermore, utilizing the unique characteristic of IL-2 that its TBAg-Nil supernatant levels are higher in LTBI compared to active TB, the difference between IFN-γ and IL-2 showed a large AUC of 0.8910. In summary, besides IFN-γ, IL-2, IL-5, IL-10, IL-1RA and MCP-1 in QFT supernatants may be useful for distinguishing active TB from LTBI. Those cytokines may also help us understand the difference in pathogenesis between active TB and LTBI.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.