Interferon gamma inducible protein-10 in the diagnosis of paediatric tuberculosis infection in a low TB incidence country

Amanatidou, Virginia; Critselis, Elena; Trochoutsou, Aikaterini; Soldatou, A; Benetatou, Kyriaki; Spyridis, Nikolaos; Papadopoulos, Nikolaos; Τσολιά, Μαρία

doi:10.5588/ijtld.14.0945

Cited by 11 publications

(18 citation statements)

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“…Seven (58%) studies were performed in low-burden countries, where the TB incidence was 4.4e77 per 100 000 individuals [14,18,21e25]. Two (17%) studies only included children [22,27], three (25%) studies included both children and adults [18,20,21], six (50%) studies only included adults [14,19,23e25,28], and one (8%) study did not report ages [26]. Nine studies reported BCG vaccination statuses.…”

Section: Characteristics Of the Eligible Studiesmentioning

confidence: 99%

Accuracy of interferon-γ-induced protein 10 for diagnosing latent tuberculosis infection: a systematic review and meta-analysis

Qiu

Tang

Yan

et al. 2019

Clinical Microbiology and Infection

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Background: Effective diagnostic methods for detecting latent tuberculosis infection (LTBI) are important for its eradication. A number of studies have evaluated the use of interferon-g-induced protein 10 (IP-10), which is elevated after tuberculosis infection, as a biomarker for LTBI, but conclusive results regarding its effectiveness have not been reported. Objectives: Our objective was to assess the diagnostic value of IP-10 for LTBI. Data sources: We searched the PubMed, Embase, the Cochrane Library and Web of Science databases to find eligible studies. Study eligibility criteria: We included cohort, caseecontrol and cross-sectional studies that evaluated IP-10 in LTBI participants in comparison with tuberculin skin tests (TST) and interferon-g release assays (IGRA). Participants: Individuals with LTBI and uninfected participants. Interventions: IP-10 (index test) compared with TST and IGRA (reference standard) for diagnosing LTBI. Methods: PubMed, Embase, the Cochrane Library, and Web of Science databases were searched up to June 2018. A hierarchical summary receiver operating characteristic (HSROC) model was used to evaluate the pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and HSROC curve for the diagnostic efficiency of IP-10. Results: Twelve studies including 1023 participants and 1122 samples were included. The overall pooled sensitivity was 0.85 (95% CI 0.80e0.88), specificity was 0.89 (95% CI 0.84e0.92), PLR was 7.55 (95% CI 5.20 e10.97), NLR was 0.17 (95% CI 0.13e0.22) and DOR was 44.23 (95% CI 28.86e67.79), indicating a high accuracy for diagnosing LTBI. Based on a meta-regression analysis, high-burden countries, study design, IP-10 method, reference standard and the IP-10 cut-off could not explain the heterogeneity (p >0.05). Conclusions: Our results suggested that IP-10 is a promising biomarker for the diagnosis of LTBI.

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Section: Characteristics Of the Eligible Studiesmentioning

confidence: 99%

Accuracy of interferon-γ-induced protein 10 for diagnosing latent tuberculosis infection: a systematic review and meta-analysis

Qiu

Tang

Yan

et al. 2019

Clinical Microbiology and Infection

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“…After database searching and selection criterial, our systematic review and meta-analysis enrolled 14 studies examining the ability of cytokine production to distinguish between active TB and LTBI [16,[28][29][30][31][32][33][34][35][36][37][38][39][40]. Specifically, 8 studies with 11 independent data detected IL-2 levels [29,[31][32][33][34][38][39][40], 8 studies for IP-10 representing 10 independent data [28,30,[35][36][37][38][39][40], 6 studies for IFN-γ representing 8 independent data [28,29,33,[38][39][40], 3 studies for IL-13 representing 4 independent data [28,29,38]. The detection of IL-5, IL-10 and TNF-α were available from 3 independent studies.…”

Section: Resultsmentioning

confidence: 99%

The meta-analysis for ideal cytokines to distinguish the latent and active TB infection

Wei

et al. 2020

BMC Pulm Med

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Background One forth whole-world population is infected with Mycobacterium tuberculosis (Mtb), but 90% of them are asymptotic latent infection without any symptoms but positive result in IFN-γ release assay. There is lack of ideal strategy to distinguish active tuberculosis (TB) and latent tuberculosis infection (LTBI). Some scientist had focused on a set of cytokines as biomarkers besides interferon- gamma (IFN-γ) to distinguish active TB and LTBI, but with considerable variance of results. This meta-analysis aimed to evaluate the overall discriminative ability of potential immune molecules to distinguish active TB and LTBI. Methods PubMed, the Cochrane Library, and Web of Science databases were searched to identify studies assessing diagnostic roles of cytokines for distinguishing active TB and LTBI published up to August 2018. The quality of enrolled studies was assessed using Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2). The pooled diagnostic sensitivity and specificity of each cytokine was calculated by using Meta-DiSc software. Area under the summary receiver operating characteristic curve (AUC) was used to summarize the overall diagnostic performance of each biomarker. Results Fourteen studies with 982 subjects met the inclusion criteria, including 526 active TB and 456 LTBI patients. Pooled sensitivity, specificity and AUC for discriminating between active TB and LTBI were analyzed for IL-2 (0.87, 0.61 and 0.9093), IP-10 (0.77, 0.73 and 0.8609), IL-5 (0.64, 0.75 and 0.8533), IL-13 (0.75, 0.71 and 0.8491), IFN-γ (0.67, 0.75 and 0.8031), IL-10 (0.68, 0.74 and 0.7957) and TNF-α (0.67, 0.64 and 0.7783). The heterogeneous subgroup analysis showed that cytokine detection assays, TB incidence, and stimulator with Mtb antigens are main influence factors for their diagnostic performance. Conclusions The meta-analysis showed cytokine production could assist the distinction between active TB and LTBI, IL-2 with the highest overall accuracy. No single biomarker is likely to show sufficiently diagnostic performance due to limited sensitivity and specificity. Further prospective studies are needed to identify the optimal combination of biomarkers to enhanced diagnostic capacity in clinical practice.

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“…In this study, no significant difference was found between active TB, LTBI, infected group and control group in terms of unstimulated plasma IP-10 levels. 22 In another study in the pediatric age group, in which both stimulated and nonstimulated plasma IP-10 levels were evaluated, nonstimulated plasma IP-10 levels were found to be successful in the differentiation of active and LTBI groups, but this differentiation could not be made with stimulated plasma IP-10 levels. 10 In our study, plasma IP-10 levels of our "infected group" consisting of the combination of active TB and LTBI groups were found to be significantly higher than the control group.…”

Section: Discussionmentioning

confidence: 98%

“…Also, while there are studies showing that IP-10 can differentiate between LTBI and active TB, other studies, like ours, have found that it is not effective. 6,19,22 In the study by Wang et al conducted on adults, it was possible to differentiate between unstimulated plasma IP-10 levels from active TB and LTBI; however, this was not possible with stimulated samples. 23 La Manna et al found in their study that the stimulated plasma IP-10 was significantly higher than the nonstimulated plasma IP-10 in differentiating active TB and LTBI.…”

Section: Discussionmentioning

confidence: 99%

The Diagnostic Value of Blood and Urine IP-10 Test in Children Having Active Tuberculosis or Latent Tuberculosis Infection

Can

Şahin

Dalgıç

et al. 2021

Journal of Pediatric Infectious Diseases

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Objective This study aimed to investigate interferon-gamma-inducible protein-10 (IP-10) values in serum and urine in pediatric patients in the diagnosis of active tuberculosis (TB) or latent TB infection (LTBI). It also aimed to investigate whether it can be used as a biomarker to distinguish between active TB and LTBI. Methods Our study comprised active TB (25 patients), LTBI (25 patients), and the “infected” group (50 patients) formed by combining the two groups. As the control group, 37 healthy children were included in the study. TB skin test, plasma IP-10, and urine IP-10 measurements were performed in all patients included in the study. An additional QuantiFERON-TB Gold In-Tube (QFT-GIT) test was performed on patients evaluated as active TB or LTBI. Results Plasma IP-10 levels of the patients in the active TB, LTBI, and the “infected” groups were significantly higher than the control group (p = 0.022, p = 0.028, and p = 0.007, respectively). Urine IP-10 was successful in distinguishing the active TB and “infected” groups from the control group (p = 0.007 and p = 0.047, respectively). Also, in the combined use of the tests, when QFT-GIT and urine IP-10 were positive together, active TB and LTBI could be distinguished (p = 0.044). Urine IP-10 levels were found to be significantly higher in those with pulmonary TB than those with extrapulmonary TB (p = 0.012). Conclusion Our findings suggest that IP-10 can be used as a useful biomarker in the diagnosis of active TB in children.

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Interferon gamma inducible protein-10 in the diagnosis of paediatric tuberculosis infection in a low TB incidence country

Abstract: The IP-10 assay could be useful in improving the diagnosis of LTBI in patients aged <5 years in combination with existing interferon-gamma release assays.

Cited by 11 publications

References 0 publications

Accuracy of interferon-γ-induced protein 10 for diagnosing latent tuberculosis infection: a systematic review and meta-analysis

Accuracy of interferon-γ-induced protein 10 for diagnosing latent tuberculosis infection: a systematic review and meta-analysis

The meta-analysis for ideal cytokines to distinguish the latent and active TB infection

The Diagnostic Value of Blood and Urine IP-10 Test in Children Having Active Tuberculosis or Latent Tuberculosis Infection

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