Literature DB >> 23349445

Dried plasma spots in the diagnosis of tuberculosis: IP-10 release assay on filter paper.

Martine G Aabye1, Irene Latorre, Jessica Diaz, Jose Maldonado, Irene Mialdea, Jesper Eugen-Olsen, Pernille Ravn, Jose Dominguez, Morten Ruhwald.   

Abstract

Interferon (IFN)-γ release assays (IGRAs) are probably the most accurate tests for the detection of latent Mycobacterium tuberculosis infection, but IGRAs are labour intensive and the transport of samples over longer distances is difficult. IFN-γ-induced protein (IP)-10 is expressed at 100-fold higher levels than IFN-γ, and IP-10 release assays have comparable performance to IGRAs. The aim of this study was to explore the diagnostic potential of a novel IP-10 release assay based on dried plasma spots (DPS). The presence of IP-10 and IFN-γ was determined in plasma and in DPS by ELISA. Diagnostic algorithms for plasma and DPS tests for IP-10 were developed on a training cohort comprising 60 tuberculosis (TB) patients and 59 healthy controls. Diagnostic accuracy was assessed in a validation cohort comprising 78 TB patients and 98 healthy controls. Plasma was measured in Spain and DPS samples were sent to Denmark using the conventional postal service for analysis. IP-10 was readily detectable in both plasma and DPS, and correlation was excellent (r(2) = 0.95). QuantiFERON-TB Gold In-Tube (QFT-TB) and IP-10 in DPS and plasma rendered comparable sensitivity (78%, 82% and 84%, respectively), specificity (100%, 97% and 97%, respectively) and indeterminate rates (p>0.55). The DPS-based IP-10 test has comparable diagnostic accuracy to the QFT-TB and samples can be sent via conventional mail over long distances for analysis without affecting the results.

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Year:  2013        PMID: 23349445      PMCID: PMC3729975          DOI: 10.1183/09031936.00129412

Source DB:  PubMed          Journal:  Eur Respir J        ISSN: 0903-1936            Impact factor:   16.671


Introduction

Interferon (IFN)-γ release assays (IGRAs) are probably the most accurate diagnostic tests for latent tuberculosis infection (LTBI) [1]. There are two IGRAs on the market, the T-SPOT.TB (Oxford Immunotec, Abingdon, UK) and the QuantiFERON-TB Gold In-Tube (QFT-TB; Cellestis, Chadstone, Australia). Both tests utilise the ability of sensitised T-cells to release IFN-γ when stimulated with peptides from Mycobacterium tuberculosis-specific antigens in vitro. While the first method measures the frequency of reactive lymphocytes in the peripheral blood mononuclear cell fraction, the latter measures the concentration of released IFN-γ in plasma of whole blood [2, 3]. The IGRAs address two of the major limitations of the tuberculin skin test: low specificity in bacille Calmette–Guerin (BCG)-vaccinated subjects and logistical challenges, with tests having to be read 2–3 days after application [4]. There are major obstacles with implementation of the IGRA, especially in low-resource settings [2]: the T-SPOT.TB requires access to skilled technicians to separate cells and to set up the assay for incubation. The window of time between blood sampling and laboratory analysis is short and requires that the blood be transported to the laboratory at ambient temperature. For the QFT-TB, incubation is done directly in the blood collection tubes, and following a centrifugation step, samples can be transported refrigerated or frozen. Transport of these samples requires a cold chain and safety precautions must be considered, as the plasma is potentially infectious. Simpler, safer and more flexible solutions are needed in both high- and low-resource regions. We have challenged these obstacles using the biomarker IFN-γ-inducible protein (IP)-10. IP-10 is a chemokine expressed in concert with IFN-γ in the IGRA [5]. The diagnostic accuracy of the IP-10 release assay has been assessed in 26 clinical studies and it is established that the IP-10 release assay performs at a par with an IGRA based on IFN-γ [5-7]. In contrast to the T-cell derived IFN-γ, IP-10 is mainly secreted from the antigen presenting cells. IP-10 expression is stimulated by multiple signals downstream of the T-cell signals, mainly IFN-γ and tumour necrosis factor-α, but also interleukin (IL)-2, type II IFNs, IL-27, IL-17/IL-23 and IL-1β [6, 8–10], supporting pathogen specific adaptive immune responses by a positive feedback loop [11]. In vitro, IP-10 is released in 100-fold higher levels than IFN-γ [12], which allows for alternative methods of storing and transportation of samples. Blood or plasma blotted onto filter paper has been shown to be a safe, robust and convenient method for the collection, transport and storage of small volumes of samples for analysis of biomarkers, for example [13]. In preparation for this study we developed and validated an ELISA assay for IP-10 detection both for plasma samples and for dried blood and plasma spots (DBS and DPS, respectively) from unstimulated, QFT-TB- and cytomegalovirus-stimulated whole blood [12]. The aim of this study was to investigate whether an IP-10 release assay using whole blood stimulated with antigens specific for M. tuberculosis stored as DPS could be used to diagnose M. tuberculosis infection. We applied the method to two sets of patients with confirmed tuberculosis (TB) and healthy controls. We defined cut-off points and established a diagnostic algorithm based on the first set of patients and controls; subsequently we evaluated the test performance in the other set of cases and controls.

Methods

Study participants

For establishing the cut-off and diagnostic algorithm we included a training set comprising 60 microbiologically confirmed patients with active TB at the Copenhagen University Hospital (Hvidovre, Denmark) and 59 healthy unexposed Danish controls (table 1). The controls were included as part of a larger contact investigation at a high-school in Copenhagen [14]. This investigation demonstrated very limited exposure to nonclassmates, and we included the controls among nonclassmates without travel, family or contact exposure. Evaluation of test performance was conducted in the validation set comprising 78 microbiologically confirmed TB patients from Barcelona, Spain and 107 healthy secondary school students from Valencia, Spain. The controls were included as part of the routine screening of Valencia secondary school students and the majority of the students (61%) were recent immigrants or children of recent immigrants. Students were consecutively included and those who reported known TB exposure, previous TB treatment or lymphadenitis of unknown aetiology were excluded (n = 9 out of 107 screened). The patients used for validation thus comprised 78 patients and 98 healthy controls.
Table 1–

Characteristics of subjects providing training and validation datasets

Training setValidation set
TBControlTBControl
Subjects n60597898
Age years40 (31–52)17 (15–18)35 (26–45)14 (13–15)
Males40 (67)55 (50)56 (72)49 (50)
Place of birth
 Western Europe23 (38)59 (100)29 (37)38 (39)
Africa19 (32)0 (0)15 (19)1 (1)
South America2 (3)0 (0)15 (19)50 (51)
Eastern Europe9 (15)0 (0)3 (4)5 (5)
Asia6 (10)0 (0)11 (14)4 (4)
Unknown1 (2)0 (0)5 (6)0 (0)
BCG status
 Yes0 (0)0 (0)10 (13)59 (60)
No0 (0)59 (100)28 (36)38 (39)
Unknown60 (100)0 (0)40 (51)1 (1)
Diagnosis
 Pulmonary TB34 (71)0 (0)72 (92)0 (0)
 Extrapulmonary TB26 (29)0 (0)6 (8)0 (0)
Comorbidity
 None53 (87)59 (100)60 (77)98 (100)
Diabetes mellitus0 (0)0 (0)5 (6)0 (0)
HCV0 (0)0 (0)5 (6)0 (0)
HIV7 (13)0 (0)3 (4)0 (0)
HIV+HCV0 (0)0 (0)2 (3)0 (0)
HIV+HBV0 (0)0 (0)1 (1)0 (0)
Renal transplant + steroids0 (0)0 (0)1 (1)0 (0)
Tests
 TST positive/tested0/0 (0)0/53 (0)16/28 (57)18/96 (19)
TST mm0.0 (0–0)0.0 (0–0)15 (10–18)9 (6–12)
 TST not performed /unavailable60 (100)6 (10)50 (64)2 (2)
 Culture or NAAT +ve/tested60/60 (100)NA78/78 (100)NA
Microscopy +ve/-ve/NA29 (48)/25 (42)/6 (10)NA59 (76)/18 (23)/1 (1)NA

Data are presented as median (interquartile range) or n (%), unless otherwise stated. BCG: bacille Calmette–Guérin; TB: tuberculosis; HCV: hepatitis C virus; HBV: hepatitis B virus; TST: tuberculin skin test; NAAT: nucleic acid amplification test; NA: not available.

Data are presented as median (interquartile range) or n (%), unless otherwise stated. BCG: bacille Calmette–Guérin; TB: tuberculosis; HCV: hepatitis C virus; HBV: hepatitis B virus; TST: tuberculin skin test; NAAT: nucleic acid amplification test; NA: not available.

Blood stimulation and QFT-TB testing

All participants had a QFT-TB test performed. IFN-γ levels were determined according to the QFT-TB package insert and excess plasma was stored at -80°C for IP-10 measurements and spotting on filter paper.

Filter paper preparation and storage

QFT-TB stimulated plasma supernatant (25 μL) was spotted in duplicates on filter paper (903 Protein Saver™ cards; Whatman plc, Maidstone, UK), dried at ambient temperature for 4 h and stored in plastic bags with desiccant. Training set samples were stored on filter paper at 5°C for 10 days before analysis; validation set samples were stored for 2–4 days at 5°C before transport via normal 2-day postal service at ambient temperature from Spain to Denmark for analysis. Analysis was performed 2 days after arrival.

IP-10 ELISA (plasma and DPS)

We used an in-house ELISA for IP-10 detection [12]. In brief, we developed rat and murine hybridoma cell lines producing monoclonal antibodies (mAbs) specific for IP-10. mAbs were combined in a sandwich ELISA which was optimised for the range of IP-10 responses in QFT-TB samples in both plasma and DPS. For the assay, plasma samples were diluted ×33 in assay buffer with horseradish peroxidise (HRP)-conjugated detection mAb (corresponding to 3 μL plasma per 100 μL ELISA well). For DPSs, two circular discs 5.5 mm in diameter were punched from the centre of the DPS using a standard office paper-puncher (Impega, Telford, UK), DPS discs were placed in the ELISA plate well and 100 μL assay buffer was added. Diluted plasma samples and DPS discs were analysed using the same protocol, i.e. incubation for 2 h at room temperature and washed three times. HRP-substrate (TMB One; Trichem, Roskilde, Denmark) was added, plates were revealed for 30 min, the enzyme reaction was stopped and absorbance was read at 450 nm, subtracted readings at 630 nm. Concentrations were calculated using a standard curve generated for each ELISA plate in duplicates and fitted with linear regression of the expected concentrations against the mean optical density. IP-10 in plasma was measured in duplicate and the mean was used for further analysis. IP-10 in DPS samples was determined by single measurements. The linear range of the ELISA is 2.5–600 pg·mL−1; a full description of the performance characteristics of the ELISA is available in [12]. Plasma levels of IP-10 are presented after multiplication by 33 to compensate for dilution, DPS levels are presented as pg detected per two 5.5-mm discs (pg per 2 discs). All samples were analysed blinded from the clinical information.

Logistics

All ELISA reagents were prepared in Copenhagen, Denmark. Plasma samples were measured in Barcelona, Spain (validation set) and Copenhagen (training set). DPS were exclusively measured in Copenhagen.

Ethics

The study was approved by the Ethical Committee of Copenhagen (KF-01-278477), and by the ethical committee of the Hospital Universitari Germans Trias i Pujol, Barcelona.

Statistics

Biomarker levels were compared using nonparametric paired and nonpaired methods (Wilcoxon signed rank test, Mann–Whitney U-test and Spearman). Cut-offs were set using receiver operating characteristic (ROC) curve analysis (at high sensitivity with minimal loss of specificity) and test concordance was compared using McNemar’s test and κ-statistics. Sensitivity and specificity were calculated after omission of indeterminate responders. A p-value <0.05 was considered significant. Analyses were performed using SAS 9.2 (SAS Institute Inc., Cary, NC, USA) and GraphPad Prism 5.0 (GraphPad Software Inc., La Jolla, CA, USA).

Results

Comparison of IP-10 in plasma and DPS and defining diagnostic test cut-offs using training set samples

We compared IP-10 DPS and plasma samples in the training cohort comprising 60 patients with active TB and 59 healthy controls. Compared to controls, the TB patients were older, and 62% were born in countries outside Western Europe (clinical data available in table 1). The nil levels and antigen-induced IP-10 and IFN-γ responses were significantly higher in TB patients compared to controls, and mitogen responses were lower (table 2). There was an excellent correlation between plasma and DPS IP-10 (r2 = 0.95) (fig. 1), while the correlation between IFN-γ and IP-10 was only moderate (r2<0.48; data not shown).
Table 2–

Interferon (IFN)-γ-inducible protein (IP)-10 in plasma and dried plasma spots (DPS) and IFN-γ in plasma in the training and validation sets

Training setValidation set
ControlsTB patientsp-valueControlsTB patientsp-value
IFN-γ plasma IU·mL−1
 Nil0.05 (0.04–0.08)0.15 (0.07–0.36)<0.00010.00 (0.00–0.06)0.17 (0.05–0.29)<0.0001
Antigen-nil0.01 (0.00–0.02)2.68 (0.42–6.42)<0.00010.00 (0.00–0.05)1.74 (0.30–4.86)<0.0001
Mitogen-nil8.61 (7.98–9.94)6.39 (0.76–9.9)<0.000110.00 (9.89–10.00)3.71 (1.13–9.71)<0.0001
IP-10 plasma ng·mL−1
 Nil0.0 (0.0–0.2)0.6 (0.3–1.4)<0.00010.2 (0.0–0.3)0.8 (0.4–1.5)<0.0001
Antigen-nil0.1 (0.0–0.3)8.1 (3.6–15.8)<0.00010.2 (0.0–0.4)8.3 (2.8–17.3)<0.0001
Mitogen-nil9.3 (6.7–14.5)6.3 (2.7–11.6)0.002413.8 (9.5–17.3)7.5 (3.6–12.3)<0.0001
IP-10 DPS pg per 2 discs
 Nil6 (2–17)38 (20–69)<0.00018 (5–19)35 (16–77)<0.0001
Antigen-nil5 (0.0–11)313 (171–567)<0.00015 (0.0–17)355 (137–512)<0.0001
 Mitogen-nil401 (287–729)287 (113–478)0.0112467 (388–589)331 (231–587)0.0004

Data are presented as median (interquartile range), unless otherwise stated. TB: tuberculosis.

Figure 1–

Comparison of interferon-γ-inducible protein (IP)-10 detected in dried plasma spots (DPS) and plasma. DPS and plasma samples from nil, antigen and mitogen samples from the training cohort comprising 60 patients with active TB and 59 healthy controls were compared. There was an excellent correlation between plasma and DPS IP-10 (Spearman r2 = 0.95).

Comparison of interferon-γ-inducible protein (IP)-10 detected in dried plasma spots (DPS) and plasma. DPS and plasma samples from nil, antigen and mitogen samples from the training cohort comprising 60 patients with active TB and 59 healthy controls were compared. There was an excellent correlation between plasma and DPS IP-10 (Spearman r2 = 0.95). Data are presented as median (interquartile range), unless otherwise stated. TB: tuberculosis. We compared the diagnostic potential of the three assays using ROC curve analysis and found comparable areas under the curve (AUCs): 0.95, 0.94 and 0.89 for IP-10 plasma, IP-10 DPS and QFT-TB, respectively (fig. 2) with no significant difference between the assays. ROC analysis suggested the following cut-off values for an assay with high specificity: IP-10 plasma 2.3 ng·mL−1 (sensitivity 87%, specificity 100%) and IP-10 DPS 105 pg per 2 discs (sensitivity 87%, specificity 100%). For comparison, the optimal cut-off for QFT-TB on these data was 0.21 IU·mL−1 (sensitivity 83%, specificity 100%). Vis à vis the option in the QFT-TB test algorithm, we defined a cut-off for an indeterminate test. We chose the cut-off values for an indeterminate test at the highest mitogen response value that did not result in indeterminate responders among the controls: 1.5 ng·mL−1 for IP-10 in plasma and 71 pg per 2 discs for IP-10 in DPS. For analysis of IFN-γ results, the QFT-TB algorithm was used as recommended by the manufacturer.
Figure 2–

Receiver operating characteristic curve analysis. Antigen-specific release of interferon (IFN)-γ and IFN-γ-induced protein (IP)-10 was compared in training set samples. IP-10 was detected in dried plasma spot (DPS) and plasma samples, IFN-γ in plasma using the QuantiFERON-TB Gold In-Tube (QFT-TB) ELISA. Areas under the curve were comparable, at 0.95, 0.94 and 0.89 for IP-10 plasma, IP-10 DPS and QFT-TB, respectively.

Receiver operating characteristic curve analysis. Antigen-specific release of interferon (IFN)-γ and IFN-γ-induced protein (IP)-10 was compared in training set samples. IP-10 was detected in dried plasma spot (DPS) and plasma samples, IFN-γ in plasma using the QuantiFERON-TB Gold In-Tube (QFT-TB) ELISA. Areas under the curve were comparable, at 0.95, 0.94 and 0.89 for IP-10 plasma, IP-10 DPS and QFT-TB, respectively.

Validation of the diagnostic performance of the DPS-based test using clinical samples

We validated the diagnostic potential of the DPS and plasma IP-10 test algorithms in a new cohort of 78 patients with culture-confirmed active TB and 98 healthy controls. Patients were older than the controls (p<0.0001), and more of them were male (p<0.0001). 17 patients had a comorbid condition (table 1). All but two controls were TST tested, of which 19% were TST-positive (cut-off 10 mm for nonvaccinated and 15 mm for BCG-vaccinated subjects), and 61% were BCG vaccinated (table 1). The correlation between plasma levels of IP-10 and filter paper levels of IP-10 was excellent (r2 = 0.93; p<0.0001) (data not shown). Both methods gave ROC curves with similar AUCs of 0.89–0.91 (data not shown) for IP-10 as well as plasma IFN-γ.

Test accuracy and concordance

We applied the IP-10 cut-off values for positive and indeterminate test results to the validation set and found that the three tests rendered comparable sensitivity (78–84%), specificity (97–100%) and indeterminate rate (<1% in controls and 5%, 10% and 8% for QFT-TB, IP-10 DPS and IP-10 plasma, respectively, in TB patients; p>0.55) (table 3). For comparison, we also applied the cohort-specific optimal cut-off for QFT-TB at 0.21 IU·mL−1; the sensitivity was 82% (61 out of 74 subjects) and the specificity was 97% (95 out of 98 subjects); none of the controls and four (5%) of the TB patients had indeterminate results. Agreement between DPS and plasma IP-10 tests was very high (κ = 0.91; 95% CI 0.88–0.99), and higher than the agreement between the QFT-TB test and IP-10 in plasma (κ = 0.83; 95% CI 0.75–91). Combining plasma IP-10 results with QFT-TB test results (i.e. a positive result in either or both tests is considered positive; indeterminate if one test is indeterminate and the other is not positive) increased the sensitivity significantly to 89% (p = 0.032) without a compromise in specificity.
Table 3–

Test results

IP-10 plasmaIP-10 DPSQFT-TBIP-10 plasma + QFT-TB
TB patients
 Positive61 (78)58 (74)58 (74)64 (82)
Negative11 (14)12 (15)16 (21)8 (11)
Indeterminate6 (8)8 (10)4 (5)6 (8)
Controls
 Positive2 (2)2 (2)0 (0)2 (2)
Negative95 (97)95 (97)98 (100)95 (97)
Indeterminate1 (1)1 (1)0 (0)1 (1)

Data are presented as n (%). IP: interferon-γ-induced protein; DPS: dried plasma spot; QFT-TB: QuantiFERON-TB Gold In-Tube test; TB: tuberculosis.

Data are presented as n (%). IP: interferon-γ-induced protein; DPS: dried plasma spot; QFT-TB: QuantiFERON-TB Gold In-Tube test; TB: tuberculosis.

Discussion

We investigated the potential of combining the user-friendly filter paper method with an IP-10 release assay with the purpose of diagnosing infection with M. tuberculosis. We demonstrated that it is possible to dry plasma from QFT-TB tubes on filter paper, transport samples across Europe at ambient temperature in a letter, and extract the diagnostic information without either loss in signal strength or diagnostic accuracy. IP-10 is an emerging alternative biomarker to IFN-γ for cell-mediated immune response assays such as the IGRA [5, 6, 15]. The findings of this study support a series of recent papers which have demonstrated that IP-10 release assays have comparable diagnostic accuracy with the QFT-TB in TB patients versus controls [6, 16, 17]. Other studies have suggested that IP-10 has superior diagnostic performance in HIV-infected patients, independent of low CD4 count [18-22]; in patients with autoimmune diseases [23]; in young children [24-27]; and in patients suspected of having active TB who had been diagnosed with other bacterial or viral infections [16]. A consistent finding in all studies is a slight discordance between IP-10 and IFN-γ responders, which opens the possibility of combining the markers for increased sensitivity, seemingly without affecting specificity [16, 17]. The concept of spotting blood onto filter paper for diagnostic purposes was introduced by Guthrie and Susi in 1963 as a tool to screen for metabolic diseases in large populations of neonates [13]. The dried blood or plasma matrix stabilises many analytes, and allows for determination of both phenotype (e.g. biomarkers) and genotype (e.g. polymorphisms) from a single specimen [13, 28]. Transporting samples dried on filter paper is considered safe [13] and the Whatman 903 filter paper is approved by the US Food and Drug Administration (class II medical device). Neonatal screening using DBS is a standard of care worldwide [29] and the filter paper technology is also used for hepatitis C and HIV viral load monitoring and HIV screening in many countries, including South Africa [28]. We have developed the filter paper based method for IP-10 detection in stimulated and unstimulated whole blood using a simple ELISA based assay. For optimal detection of IP-10 in antigen-stimulated samples we diluted plasma extensively ×33 times (3 μL plasma per ELISA plate well). The signal intensity generated from this low volume corresponds well to IP-10 signals generated from two DPS or DBS discs, and from the 50-μL plasma sample used for IFN-γ detection in the QFT-TB ELISA. We recently reviewed 22 clinical studies on IP-10 release assays for the diagnosis of infection with M. tuberculosis. We found that IP-10 had been detected by five very different IP-10 assays and at sample dilutions from ×2 to ×20 [6]. This heterogeneity limits comparison between assays and calls for consensus in the field. The easy sample transport enabled by the filter paper method is ideal for international collaborations and larger multicentre studies, and should lead to better quality and comparable studies on IP-10 release assays. Skogstrand and colleagues [30, 31] pioneered the measurement of cytokines and chemokines in dried blood spots using a Luminex based multiplex approach, and have validated clinical use in a series of studies of inflammatory conditions from neonates using heel blood samples. Recently, a small proof-of-concept study assessed the multiplex assay using DBS samples from QFT-TB stimulated blood [32]. This study demonstrated a significant difference in IFN-γ responses between QFT-TB positive patients and QFT-TB negative patients, but the majority of samples, also from TB patients, fell below the lower limit of quantification of the assay [33]. We have attempted to extract IFN-γ signals from DPS samples using the QFT-TB ELISA, but also failed to detect reliable responses [12]. The likely explanation for these results is that the low volume of plasma available in the filter paper samples contains too little IFN-γ for reliable determination. IP-10 is expressed in 100-fold higher levels and is therefore better suited for this method [12, 34].

Limitations

Our long-term aim is to develop a simple test for LTBI, but as there is no true gold standard for LTBI we used patients with active TB as a proxy for M. tuberculosis infection. This approach provides a solid gold standard for infection, but patients with active TB disease may have compromised IFN-γ and IP-10 responses to mitogens, and probably also to antigens which could lead to inaccurate cut-off values for positive test results if used for LTBI or in patients with immunosuppression, e.g. HIV infected patients [16, 35, 36]. Nevertheless, as described in detail by Zhou et al. [37], evaluation of new diagnostic tests (or diagnostic algorithms) should be performed in several steps; first on selected populations in order to ensure assessment of sensitivity and specificity under (for the test) optimal conditions before the test can be applied in a clinical setting, e.g. a prospective study evaluating the predictive values of the test. The “gold standard problem” in assessing new tests for LTBI is inherent to the field [38], and all tests for LTBI, including the QFT-TB test, have been assessed using a similar case–control design [39]. Our sample size in the training set only comprised 119 patients and controls. This relatively small cohort will result in an imprecise assessment of cut-off values. But, as we found comparable diagnostic accuracy between the training and the validation set, despite controls from very different settings, we suspect this risk to be limited. Furthermore, the age difference between patients and controls both within and across the training and validation cohorts was significant. These differences might have influenced the findings, but we believe the impact to be minor because our youngest controls were teenagers (and not <5-year-olds, which is the only age group with documented impaired performance of IGRA), and because IP-10 appears to be less influenced by young age compared to IFN-γ [24, 27]. Nevertheless, further studies are needed and these should be designed to allow for adjustments of the cut-off value for a positive test result. In contrast to other studies in similar groups of patients and controls, we observed a higher number of patients with indeterminate IP-10 responses compared to QFT-TB [16, 17]; this most probably reflects a relatively lower threshold for an indeterminate test result in our study. Previous studies on IP-10 have used arbitrary values to mimic the rates seen for QFT-TB [6] and the method used to set the QFT indeterminate cut-off is, to our knowledge, not published [39, 40]. In this study we set the cut-off for indeterminate values just below the lowest IP-10 mitogen response observed in the cohort of healthy controls; this to optimise sensitivity (by deeming patients with false negative responses to be indeterminate) without compromising cost-effectiveness (deeming true negative controls as indeterminate). Higher cut-off values rendered indeterminate rates at par with the QFT-TB (data not shown). Interestingly, the lower threshold for an indeterminate IP-10 test result did not affect the improvements in accuracy seen when combining IP-10 and QFT-TB [16–18, 41, 42]. Further studies are needed to evaluate and potentially adjust the cut-off, and to assess the risk of developing active TB given a false negative/indeterminate test result. The findings of this study call for confirmation in other populations, e.g. latent versus active TB; and assessments of the performance of the method in HIV infected subjects and children, as well as prospective evaluations of the positive and negative predictive value of IGRAs based on IFN-γ and IP-10, are urgently needed.

Perspectives

The filter paper method for plasma sample storage and transport enables simplification and centralisation of the IGRA diagnostic concept. IP-10 is detectable in DBS samples in comparable levels to DPS samples, whereby stimulated samples can be prepared without the centrifugation step [12]. With a simpler test format the workload and requirements of local laboratories will make IP-10 release assays easier and cheaper to set up, e.g. for low-volume users, and peripheral or resource restricted settings. Importantly, the easy sample transport allows for better quality control of the analysis, e.g. the possibility for employing a reference laboratory function. Fully automated high-throughput systems for filter paper punching and sample analyses are standard for neonatal screening, and can be adapted for IP-10 measurement [29]. An automated analysis significantly reduces the risks of human error and assay variability linked to performing manual ELISA and ELISPOT assays, and increases analytical precision and diagnostic accuracy.

Conclusion

This study describes and validates a method for simplifying sample handling in an IP-10 release assay for the diagnosis of M. tuberculosis infection. We show that IP-10 is stable in plasma dried on filter paper, and can be sent with normal mail over long distances for analysis, apparently without affecting the results. Also, the study adds further to the evidence that IP-10 release assays are a valid alternative to IGRAs, and that such IP-10 release assays have operational advantages using the filter paper approach.
  41 in total

1.  Interferon-gamma inducible protein 10 as a biomarker for active tuberculosis and latent tuberculosis infection in children: a case-control study.

Authors:  Neele Alsleben; Morten Ruhwald; Holger Rüssmann; Florian M Marx; Ulrich Wahn; Klaus Magdorf
Journal:  Scand J Infect Dis       Date:  2011-11-21

2.  Antigen-induced cytokine and chemokine release test for tuberculosis infection using adsorption of stimulated whole blood on filter paper and multiplex analysis.

Authors:  Kristin Skogstrand; Anna H Thysen; Charlotte S Jørgensen; E Michael Rasmussen; Ase B Andersen; Troels Lillebaek; David M Hougaard; Gunnar Houen
Journal:  Scand J Clin Lab Invest       Date:  2012-01-27       Impact factor: 1.713

3.  Multiplex assays of inflammatory markers, a description of methods and discussion of precautions - Our experience through the last ten years.

Authors:  Kristin Skogstrand
Journal:  Methods       Date:  2011-10-07       Impact factor: 3.608

4.  Potential of interferon-γ-inducible protein 10 in improving tuberculosis diagnosis in HIV-infected patients.

Authors:  M G Aabye; M Ruhwald; G Praygod; K Jeremiah; M Faurholt-Jepsen; D Faurholt-Jepsen; N Range; H Friis; J Changalucha; A B Andersen; P Ravn
Journal:  Eur Respir J       Date:  2010-12       Impact factor: 16.671

Review 5.  Interferon-γ release assays for the diagnosis of latent Mycobacterium tuberculosis infection: a systematic review and meta-analysis.

Authors:  R Diel; D Goletti; G Ferrara; G Bothamley; D Cirillo; B Kampmann; C Lange; M Losi; R Markova; G B Migliori; A Nienhaus; M Ruhwald; D Wagner; J P Zellweger; E Huitric; A Sandgren; D Manissero
Journal:  Eur Respir J       Date:  2010-10-28       Impact factor: 16.671

6.  Prednisolone treatment affects the performance of the QuantiFERON gold in-tube test and the tuberculin skin test in patients with autoimmune disorders screened for latent tuberculosis infection.

Authors:  Erika Bélard; Synne Semb; Morten Ruhwald; Anne Marie Werlinrud; Bolette Soborg; Frank Krieger Jensen; Henrik Thomsen; Annette Brylov; Merete Lund Hetland; Inge Nordgaard-Lassen; Pernille Ravn
Journal:  Inflamm Bowel Dis       Date:  2011-02-11       Impact factor: 5.325

7.  IP-10 is an additional marker for tuberculosis (TB) detection in HIV-infected persons in a low-TB endemic country.

Authors:  Valentina Vanini; Elisa Petruccioli; Cristiana Gioia; Gilda Cuzzi; Nicoletta Orchi; Alessia Rianda; Lucia Alba; Maria Letizia Giancola; Aristide Conte; Vincenzo Schininà; Elisa Busi Rizzi; Enrico Girardi; Delia Goletti
Journal:  J Infect       Date:  2012-03-29       Impact factor: 6.072

8.  Evaluating the potential of IP-10 and MCP-2 as biomarkers for the diagnosis of tuberculosis.

Authors:  M Ruhwald; T Bodmer; C Maier; M Jepsen; M B Haaland; J Eugen-Olsen; P Ravn
Journal:  Eur Respir J       Date:  2008-08-06       Impact factor: 16.671

9.  Can interferon-gamma or interferon-gamma-induced-protein-10 differentiate tuberculosis infection and disease in children of high endemic areas?

Authors:  Mohammed Ahmed Yassin; Roberta Petrucci; Kefyalew Taye Garie; Gregory Harper; Isabel Arbide; Melkamsew Aschalew; Yared Merid; Zelalem Kebede; Amin Ahmed Bawazir; Nabil Mohamed Abuamer; Luis Eduardo Cuevas
Journal:  PLoS One       Date:  2011-09-23       Impact factor: 3.240

10.  Improving T-cell assays for the diagnosis of latent TB infection: potential of a diagnostic test based on IP-10.

Authors:  Morten Ruhwald; Janne Petersen; Kristian Kofoed; Hiroshi Nakaoka; Luis Eduardo Cuevas; Lovett Lawson; Stephen Bertil Squire; Jesper Eugen-Olsen; Pernille Ravn
Journal:  PLoS One       Date:  2008-08-06       Impact factor: 3.240

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  18 in total

1.  Diagnostic Accuracy of Interferon Gamma-Induced Protein 10 mRNA Release Assay for Tuberculosis.

Authors:  Thomas Blauenfeldt; Raquel Villar-Hernández; Esther García-García; Irene Latorre; Line Lindebo Holm; Beatriz Muriel-Moreno; Maria Luiza De Souza-Galvão; Joan Pau Millet; Fina Sabriá; Adrián Sánchez-Montalva; Juan Ruiz-Manzano; Jose Pilarte; María A Jiménez; Carmen Centeno; Carmen Torres; Israel Molina-Pinargote; Yoel D González-Díaz; Javier Santiago; Adela Cantos; Cristina Prat; Peter Andersen; Jose Domínguez; Morten Ruhwald
Journal:  J Clin Microbiol       Date:  2020-09-22       Impact factor: 5.948

2.  Diagnostic accuracy of interferon gamma-induced protein 10 for tuberculosis: a meta-analysis.

Authors:  Shu-Jin Guo; Liu-Qun Jia; Qian-Jing Hu; Hong-Yu Long; Cai-Shuang Pang; Fu-Qiang Wen
Journal:  Int J Clin Exp Med       Date:  2014-01-15

Review 3.  Advances in diagnostic tools for respiratory tract infections: from tuberculosis to COVID-19 - changing paradigms?

Authors:  Zoran Stojanovic; Filipe Gonçalves-Carvalho; Alicia Marín; Jorge Abad Capa; Jose Domínguez; Irene Latorre; Alicia Lacoma; Cristina Prat-Aymerich
Journal:  ERJ Open Res       Date:  2022-09-12

4.  Diagnostic accuracy of interferon-gamma release assays for diagnosis of smear-negative pulmonary tuberculosis: a systematic review and meta-analysis.

Authors:  Tananchai Petnak; Dararat Eksombatchai; Supavit Chesdachai; Ploypin Lertjitbanjong; Pahnwat Taweesedt; Angsupat Pornchai; Charat Thongprayoon; Larry J Prokop; Zhen Wang
Journal:  BMC Pulm Med       Date:  2022-06-06       Impact factor: 3.320

5.  The role of TLR9 polymorphism in susceptibility to pulmonary tuberculosis.

Authors:  Deepak Bharti; Ashish Kumar; Ranjeet Singh Mahla; Sushil Kumar; Harshad Ingle; Hari Shankar; Beenu Joshi; Ashwin Ashok Raut; Himanshu Kumar
Journal:  Immunogenetics       Date:  2014-09-25       Impact factor: 2.846

Review 6.  Function and Potentials of M. tuberculosis Epitopes.

Authors:  Juraj Ivanyi
Journal:  Front Immunol       Date:  2014-03-24       Impact factor: 7.561

7.  Development of a one-step probe based molecular assay for rapid immunodiagnosis of infection with M. tuberculosis using dried blood spots.

Authors:  Thomas Blauenfeldt; Jan Heyckendorf; Sidse Graff Jensen; Christoph Lange; Camilla Drabe; Thomas S Hermansen; Lena de Thurah; Troels Lillebaek; Jesper Eugen-Olsen; Niels Seersholm; Søren Hoff; Jesper Bonde; Morten Ruhwald
Journal:  PLoS One       Date:  2014-09-03       Impact factor: 3.240

8.  IP-10 measured by Dry Plasma Spots as biomarker for therapy responses in Mycobacterium Tuberculosis infection.

Authors:  Kristian Tonby; Morten Ruhwald; Dag Kvale; Anne Ma Dyrhol-Riise
Journal:  Sci Rep       Date:  2015-03-18       Impact factor: 4.379

9.  Added Value of IP-10 as a Read-Out of Mycobacterium tuberculosis: Specific Immunity in Young Children.

Authors:  Synne Jenum; Sivakumaran Dhanasekaran; Christian Ritz; Ragini Macaden; T Mark Doherty; Harleen M S Grewal
Journal:  Pediatr Infect Dis J       Date:  2016-12       Impact factor: 2.129

10.  Evaluation of the filter paper IP-10 tests in school children after exposure to tuberculosis: a prospective cohort study with a 4-year follow-up.

Authors:  Tamara Tuuminen; Eeva Salo; Hannele Kotilainen; Morten Ruhwald
Journal:  BMJ Open       Date:  2012-12-04       Impact factor: 2.692

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