Monokine induced by gamma interferon for detecting pulmonary tuberculosis

Li, Yang; Dan, He; Che, Yinfu; Zhao, Xinchen

doi:10.1097/md.0000000000023302

Cited by 4 publications

(3 citation statements)

References 35 publications

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“…MIG levels are also high in patients with tuberculosis. A systematic review and meta-analysis on the predictive accuracy of MIG in antigen-stimulated and unstimulated supernatants among patients with culture positive tuberculosis found that pooled sensitivity and specificity were both 84% [34]. A prior study investigated the diagnostic accuracy of IP-10/MIG-values for TB-infection in antigen-stimulated QFT tubes derived from healthcare workers classified as those without TB-infection (defined by a QFT result <0.1 IU/mL and TST result <10mm), undetermined TB-infection (defined by a QFT result between 0.1 and 0.35 IU/mL and/or a TST >10mm), and with TB-infection (QFT result ≥0.35 IU/mL) [35].…”

Section: Discussionmentioning

confidence: 99%

Biomarkers to identifyMycobacterium tuberculosisinfection among borderline QuantiFERON results

et al. 2022

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BackgroundScreening for tuberculosis (TB)-infection often includes QuantiFERON (QFT) testing. Previous studies showed that two-third of patients with negative QFT results just below the cut-off, so-called borderline test results, nevertheless had other evidence of TB-infection. This study aimed to identify a biomarker profile by which borderline QFT results due to TB-infection can be distinguished from random test variation.MethodsQFT supernatants of patients with a borderline (≥0.15 and <0.35 IU·mL−1), low-negative (<0.15 IU·mL−1) or positive (≥0.35 IU·mL−1) QFT results were collected in three hospitals. Bead-based multiplex assays were used to analyse 48 different cytokines, chemokines and growth factors. A prediction model was derived using LASSO-regression and applied further to discriminate QFT+ Mycobacterium tuberculosis (Mtb)-infected from borderline QFT patients, and QFT negative patientsResultsQFT samples of 195 patients were collected and analysed. Global testing revealed that the levels of CXCL10/IP-10, CXCL9/MIG and IL-1ra in the antigen-stimulated tubes were each significantly higher in patients with a positive QFT result compared to QFT low-negative individuals (p<0.001). A prediction model based on IP-10 and MIG proved highly accurate in discriminating patients with a positive QFT (TB-infection) from uninfected individuals with a low-negative QFT (sensitivity/specificity: 1.00 [95% CI: 0.79–1.00]/0.95 [95% CI: 0.74–1.00]). This same model predicted TB-infection in 68% of 87 patients with a borderline QFT result.ConclusionThis study was able to classify borderline QFT results as likely infection-related or random. These findings support additional laboratory testing for either IP-10 or MIG following a borderline QFT result for individuals at increased risk of reactivation TB.

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Section: Discussionmentioning

confidence: 99%

Biomarkers to identifyMycobacterium tuberculosisinfection among borderline QuantiFERON results

et al. 2022

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“…Previous studies have identified MIG as a potential diagnostic tool for TB infection ( 9 , 27 , 28 ). A systematic review and meta-analysis evaluating the predictive accuracy of MIG found pooled sensitivity and specificity both to be 84% among patients with culture-positive TB ( 29 ). Moreover, a study demonstrated that MIG outperformed IFN-γ in diagnosing active TB based on ROC analysis ( 27 ).…”

Section: Discussionmentioning

confidence: 99%

Systemic and cerebrospinal fluid biomarkers for tuberculous meningitis identification and treatment monitoring

Yao,

Hong,

Jiang

et al. 2024

Microbiol Spectr

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Tuberculous meningitis (TBM) is a severe infectious disease affecting the central nervous system, causing high mortality and disability. However, current diagnostic methods for TBM using cerebrospinal fluid (CSF) lack sensitivity and predictive biomarkers for prognosis. We conducted a study on cytokine profiles in CSF and serum samples from TBM patients to identify disease-specific biomarkers. Patients were categorized into three groups: TBM ( n = 17), cryptococcal meningitis ( n = 10), and non-infection ( n = 6), and cytokine levels were quantified using a 48-plex panel. After treatment, we observed a significant reduction in the levels of 12 cytokines, indicating their potential use as biomarkers for treatment monitoring. Among them, monokine induced by interferon-γ (MIG) and interleukin-18 showed significant differences in serum or CSF cytokine levels compared to the control groups. CSF levels of MIG in TBM patients were negatively correlated with the CSF/blood glucose ratio ( r = −0.4728, P = 0.0475). Positive correlations were found between CSF leukocyte counts and several cytokines, including fibroblast growth factor-basic, granulocyte colony-stimulating factor (G-CSF), monocyte chemotactic protein-3, macrophage inflammatory protein 1 alpha (MIP-1α), and tumor necrosis factor alpha. G-CSF and MIP-1α were also positively correlated with CSF protein levels. Receiver operating characteristic curve analysis revealed that MIG exhibited the highest area under the curve of 0.92 [95% confidence interval (CI) 0.82–1.00] with a sensitivity of 0.85 (95% CI 0.58–0.97) and a specificity of 0.87 (95% CI 0.62–0.98), making it a promising diagnostic biomarker for TBM. Our study provides valuable insights into TBM’s pathogenesis and identifies potential biomarkers for diagnosis and evaluating treatment monitoring. IMPORTANCE Tuberculous meningitis is a life-threatening infection with high mortality and disability rates. Current diagnostic methods using cerebrospinal fluid (CSF) samples have limited sensitivity and lack predictive biomarkers for evaluating prognosis. This study’s findings reveal excessive activation of the immune response during tuberculous meningitis (TBM) infection. Notably, a strong negative correlation was observed between CSF levels of monokine induced by interferon-γ (MIG) and the CSF/blood glucose ratio in TBM patients. MIG also exhibited the highest area under the curve with high sensitivity and specificity. This study suggests that MIG may serve as a novel biomarker for differentiating TBM infection in CSF or serum, potentially leading to improved diagnostic accuracy and better patient outcomes.

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“…MIG and IP-10 level decrease has also been associated with response to TB therapy [21] and lateral flow assays employing IP-10 as readout marker are currently under development, even if little information is available on their performance [2]. Furthermore, both MIG and IP-10 have been evaluated as possible biomarkers to discriminate between active TB and TB infection [22][23][24], and agonist and antagonist forms of IP-10 have been identified both in blood and urine of people with active TB [25,26].…”

mentioning

confidence: 99%

Improving interferon-γ release assay interpretation: are IP-10 and MIG the solution?

2022

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Monokine induced by gamma interferon for detecting pulmonary tuberculosis

Cited by 4 publications

References 35 publications

Biomarkers to identifyMycobacterium tuberculosisinfection among borderline QuantiFERON results

Biomarkers to identifyMycobacterium tuberculosisinfection among borderline QuantiFERON results

Systemic and cerebrospinal fluid biomarkers for tuberculous meningitis identification and treatment monitoring

Improving interferon-γ release assay interpretation: are IP-10 and MIG the solution?

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