Abstract
Background:
There is scant information on the accuracy of different assays used to measure anti-infliximab antibodies (ADAs), especially in the presence of detectable infliximab (IFX). We thus aimed to evaluate and compare three different assays for the detection of IFX and ADAs and to clarify the impact of the presence of circulating IFX on the accuracy of the ADA assays.
Methods:
Blood samples from 79 ulcerative colitis (UC) patients treated with infliximab were assessed for IFX levels and ADAs using three different assays: an in-house assay and two commercial kits, Immundiagnostik and Theradiag. Sera samples with ADAs and undetectable levels of IFX were spiked with exogenous IFX and analyzed for ADAs.
Results:
The three assays showed 81–96% agreement for the measured IFX level. However, the in-house assay and Immundiagnostik assays detected ADAs in 34 out of 79 samples, whereas Theradiag only detected ADAs in 24 samples. Samples negative for ADAs with Theradiag, but ADA-positive in both the in-house and Immundiagnostik assays, were positive for IFX or IgG4 ADAs. In spiking experiments, a low concentration of exogenous IFX (5 µg/ml) hampered ADA detection with Theradiag in sera samples with ADA levels of between 3 and 10 µg/ml. In the Immundiagnostik assay detection interference was only observed at concentrations of exogenous IFX higher than 30 µg/ml. However, in samples with high levels of ADAs (>25 µg/ml) interference was only observed at IFX concentrations higher than 100 µg/ml in all three assays. Binary (IFX/ADA) stratification of the results showed that IFX+/ADA- and IFX-/ADAs+ were less influenced by the assay results than the double-positive (IFX+/ADAs+) and double-negative (IFX-/ADAs-) combination.
Conclusions:
All three methodologies are equally suitable for measuring IFX levels. However, erroneous therapeutic decisions may occur when patients show double-negative (IFX-/ADAs-) or double-positive (IFX+/ADAs+) status, since agreement between assays is significantly lower in these circumstances.
Keywords: anti-infliximab antibodies, anti-Infliximab antibody methodologies, infliximab trough levels, therapeutic drug monitoring
Introduction
Infliximab (IFX) is a chimeric (human–murine) monoclonal IgG1 anti-tumor necrosis factor alpha (TNF-α) antibody used in the treatment of inflammatory bowel disease (IBD) [Bendtzen, 2013]. Although IFX has profoundly improved the treatment of inflammatory diseases, not all patients respond to induction therapy, and up to 50% of patients experience the loss of clinical response over time (secondary loss of response) [Yanai and Hanauer, 2011; Steenholdt et al. 2013]. When managing loss of response, clinicians may empirically intensify treatment with the existing drug (increase dosage and/or increase frequency), switch to another TNF-α antagonist or switch to a totally different class of drug. This empirical approach has disadvantages: risk of irreversible tissue damage while the physician searches for an effective new drug, and significant economic consequences of unsuccessful trial and errors [Bendtzen and Svenson, 2011; Steenholdt et al. 2014a]. A more astute strategy is probably to use therapeutic drug monitoring (TDM), which enables clinicians to identify patients in whom a medication or change in medication is likely to be effective [Roblin et al. 2014; Steenholdt et al. 2014b; Yanai et al. 2015]. Indeed, a rational evidence-based and tailored therapy according to individual needs may reduce delays in effective treatment [Bendtzen, 2013; Steenholdt et al. 2014b].
Awareness of the value of TDM has led to the development of different techniques for assessing levels of infliximab and anti-infliximab antibodies (ADA) in patients, but these different methodologies have distinctive limitations and may yield different results. This potential bias may have a significant impact on TDM results and interpretation. There is still little information allowing us to compare different assays, in particular in relation to ADAs detection, which is likely to be subject to interference by detectable levels of IFX [Casteele et al. 2012; Kopylov et al. 2012; Steenholdt et al. 2013].
In order to incorporate therapeutic drug monitoring into clinical practice it is pertinent to recognize the potential for assay heterogeneity and accuracy. Therefore, the objective of this study was to evaluate and compare three different methodologies used to detect IFX and ADA and to clarify the importance of detectable IFX levels when measuring ADA levels namely on the accuracy of ADA assays.
Methods
Patients and sera
Trough blood samples were collected from 79 IFX treated ulcerative colitis (UC) patients. Blood samples were centrifuged, and the serum collected and stored at –80°C. This was a multicenter, open-label, single-arm trial. Study participants were recruited from ten IBD centers in Portugal. The trial was conducted in accordance with the Declaration of Helsinki and Ethical Principles of Good Clinical Practice and was approved by the local Ethics Committees. All participants gave their written informed consent.
Evaluation of IFX levels
IFX levels were evaluated using a sandwich enzyme-linked immunosorbent assay (ELISA) from three different sources (Figure 1A): one in-house ELISA and two commercial ELISA kits. The upper limit of the measurement for the three assays was calculated as the highest concentration of the standard curve × sample dilution factor used.
IFX levels were evaluated using the in-house ELISA as previously described by Baert and colleagues with some modifications [Baert et al. 2003; Ben-Horin et al. 2011]. Briefly, 100 ml of 1:100 diluted serum was added to a plate precoated with 750 ng/ml TNFα (Peprotech, Rocky Hill, NJ, USA) and incubated for 60 min. Following washing, horseradish peroxidase (HRP) labelled goat anti-human Fc fragment antibody (MP Biomedicals, Solon, OH, USA) at a concentration of 0.62 µg/ml was added for 60 min. After washing, a 3-min reaction was performed with tetramethylbenzidine (TMB) substrate and stopped with H2SO4, 2 M. The results were read at 450/540 nm using a Power Wave 340 (Biotec Instruments). The infliximab concentration was quantified using a standard curve constructed using exogenous infliximab (Schering Plough, NJ, USA). The lower limit of quantification was 0.1 µg/ml.
IFX levels were also evaluated in parallel using the commercial TNFα-Blocker ELISA (Immundiagnostik AG, Germany) and Lisa-Tracker Premium Infliximab ELISA (Theradiag, France) kits according to the instructions provided by the manufacturer. The lower limit of quantification was 0.5 and 0.1 µg/ml, for Immundiagnostik and Theradiag, respectively.
Evaluation of ADA levels
Antibodies to infliximab were evaluated using three distinct methodologies (Figure 1B), one in-house assay [anti-human lambda chain assay (AHLC)], and two commercially available kits [a semi-quantitative assay, TNFα- Blocker ADA (Immundiagnostik AG, Germany); and a quantitative assay, Lisa-Tracker Premium Infliximab ELISA (Theradiag, France)]. The upper limit of the measurement for the three assays was calculated as the highest concentration of the standard curve × sample dilution factor used.
In-house AHLC
ADA levels were determined in all samples using an in-house ELISA as previously described by Ben-Horin and colleagues [Ben-Horin et al. 2011]. The AHLC is a sandwich ELISA that uses anti-human lambda chain conjugate antibody in the detection step, taking advantage of the exclusively kappa chain composition of IFX [Kopylov et al. 2012]. Briefly, IFX was added to a plate precoated with TNFα (Peprotech, Rocky Hill, NJ, USA). After Diluted serum was added and incubated for 60 min at room temperature. Goat anti-human lambda chain HRP-labeled antibody (Serotec, Oxford, UK) was added and incubated for 60 min, at room temperature. After a 6-min reaction with TMB the reaction was stopped with H2SO4. Absorbances were read at 450/540 nm and the results are expressed as µg/ml-equivalent (µg/ml-e) after normalization against results obtained using a standard curve of goat anti-human F(ab’)2 fragment antibody (MP Biomedicals). For the purpose of brevity, the results are thereafter expressed as µg/ml, rather than µg/ml-e. The lower limit of quantification was 1.2 µg/ml.
Immundiagnostik semi-fluid phase enzyme immunoassay
ADA levels were determined in a semi-fluid phase enzyme immunoassay (SFPE) using a commercial kit (TNFα-Blocker ADA) purchased from Immundiagnostik (Germany) according to the instructions provided by the manufacturer. The SFPE uses an initial acid buffer treatment to dissociate the IFX–ADA immune complexes and two IFX conjugates with different conjugates. Acidified samples are incubated with IFX–biotin conjugate which immobilizes ADAs on the plate, and IFX–peroxidase conjugate is used for detection [Imaeda et al. 2012].
Theradiag bridging ELISA
ADA levels were determined in a bridging ELISA (BE) performed using a commercial kit (Lisa-Tracker Premium Infliximab ELISA) purchased from Theradiag (France) according to the instructions provided by the manufacturer. The BE uses a double-antigen bridge: ADAs create a bridge between IFX immobilized on the plate and IFX enzyme-linked conjugate. A total of 4 out of 79 samples determined with Theradiag were higher than the upper limit of the kit: in these cases the upper limit was considered as the result. The lower limit of quantification was 10 ng/ml.
Exogenous IFX in ADA-positive sera samples
Exogenous IFX (Schering Plough, NJ, USA) was used to spike ADA-positive sera samples that contained undetectable levels of IFX.
Evaluation of exogenous IFX incubation time
The incubation time of exogenous IFX in sera was evaluated. Sera samples with ADAs and undetectable levels of IFX were incubated with several concentrations of IFX (5, 10, 15, 30, 100 and 300 µg/ml) for different lengths of time (0, 0.5, 3, 6, 12 and 24 h). Levels of ADAs were then determined using the AHLC assay as described above.
Evaluation of stratified ADA levels (four groups) with exogenous IFX spiking using AHLC methodology
Four groups with undetectable IFX (<0.1 µg/ml) were stratified according to ADA-positive concentration as previously measured by AHLC assay: group A (ADAs within 1.7–3 µg/ml); group B (ADAs within 3–10 µg/ml); group C (ADAs within 10–25 µg/ml); group D (ADAs >25 µg/ml). Sera were preincubated with several concentrations of exogenous IFX (5, 10, 30, 100 and 300 µg/ml) for 30 min, at room temperature. Levels of ADAs were then determined using the in-house AHLC ELISA as described above.
Evaluation of ADA levels with exogenous IFX spiking in two groups of sera samples using three different methodologies
Two groups of ADA-positive sera with undetectable IFX (<0.1 µg/ml) were selected from sera previously measured by AHLC assay: high levels of ADAs (>25 µg/ml) and intermediate levels of ADAs (>3 µg/ml and <10 µg/ml). Sera were preincubated with several concentrations of exogenous IFX (5, 10, 15, 30, 100 and 300 µg/ml) for 30 min, at room temperature. Levels of ADAs were then determined using the three different methodologies: in-house AHLC, Immundiagnostik SFPE and Theradiag BE as described above.
Measurement of ADA IgG4 in the sera
Sera samples containing ADAs were evaluated for ADA IgG4. ADA IgG4 levels were determined using an ELISA developed and described by Bendtzen and colleagues and adapted for IgG4 detection [Bendtzen and Svenson, 2011; Steenholdt, 2013]. Briefly, diluted serum was added and incubated for 60 min at room temperature to a plate precoated with anti-IgG4 antibody (Serotec, Oxford, UK). Plates were then washed and HRP-labeled infliximab was added for 60 min, at room temperature. A 5-min reaction with TMB substrate was performed and stopped with 2 M H2SO4. Absorbances were read at 450/540 nm and the results were expressed as µg/ml-e after normalization against results obtained using a standard curve of goat anti-human F(ab’)2 fragment antibody (MP Biomedicals).
Statistical analysis
The intraclass correlation coefficient (ICC) was used to determine the quantitative agreement between IFX levels evaluated by the three assays. ICC within 0.4 and 0.75 was considered moderate, lower than 0.4 poor and higher than 0.75 excellent. Agreement between assays was also assessed using Bland–Altman analysis, in which the mean differences and limits of agreement are descriptive. The KAPPA coefficients of 0–0.20 were considered to indicate slight, 0.21–0.40 fair, 0.41–0.60 moderate, 0.61–0.80 substantial and 0.81–1 almost perfect agreement [Landis and Koch, 1977]. The mean difference (bias) and its 95% confidence interval (CI) were computed. Limits of agreement (LOAs) were defined as mean difference ± 2 standard deviations of difference (LOA = bias ± SDD). Ninety-five per cent of differences are expected to lie between LOAs.
The quantitative agreement between assays for ADA could not be assessed because data were reported using different and arbitrary units (AU/ml).
Kappa coefficient and percentage agreement were therefore used to determine the qualitative agreement between IFX levels, ADAs and status (IFX+/ADAs-; IFX+/ADAs+; IFX-/ADAs-; IFX-/ADAs-). Correlations between assays were determined only for IFX levels using linear correlation analysis expressed as Pearson’s correlation coefficient (Pearson’s r).
Results
IFX levels
A total of 79 sera samples were evaluated for IFX levels using three types of ELISA. Samples were collected from multicentric cohort of UC patients, composed of 44% men and with a median [interquartile range (IQR)] age of 35 (23–48) years. All patients were in the maintenance phase (after 14 weeks). A total of 35% of the patients were in IFX monotherapy and the remain cohort in concomitant therapy [38% azathioprine (AZA); 12% 5-aminosalicylic acid (5-ASA); 7% AZA + 5ASA; 1% methotrexate; 1% corticosteroids; 2% AZA + 5-ASA + corticosteroids; 1% AZA + corticosteroids + antibiotics].
Quantitative agreement was calculated using the ICC and mean differences (Table 1). Compari-sons showed that ICC varied from a moderate agreement of 0.694 (0.618–0.805) between Immundiagnostik and Theradiag up to an excellent agreement of 0.957 (0.933–0.972) between the in-house ELISA and Immundiagnostik kit. Mean differences (bias) confirmed the ICC evaluation. Moreover, a Bland and Altman plot analysis (graphics not shown) indicate that the significant bias between in-house and Theradiag is a result of dispersion of values along all of infliximab concentration, even for minor concentrations. Regarding in-house and Immundiagnostik, bias is more significant for concentrations higher than 15 µg/ml.
Table 1.
ICC | 95% CI | Differences |
||
---|---|---|---|---|
Mean | 95% CI | |||
IFX | ||||
In-house ELISA/ Theradiag ELISA | 0.762 | 0.627–0.848 | 3.99 | 2.63–5.36 |
In-house ELISA/ Immundiagnostik ELISA | 0.957 | 0.933–0.972 | −0.43 | −1.31 to 0.44 |
Immundiagnostik ELISA / Theradiag ELISA | 0.694 | 0.618–0.805 | 4.43 | 2.76–6.10 |
CI, confidence interval; ELISA, enzyme-linked immunosorbent assay; IFX, infliximab.
The Pearson correlation between different assays was also calculated: 0.84 (p<0.001) for in-house versus Theradiag; 0.79 (p < 0.001) for Theradiag versus Immundiagnostik and 0.92 (p<0.001) for in-house versus Immundiagnostik.
In order to quantify the qualitative agreement of the different methods, two different cutoffs were applied to the measured concentrations: one used the limit of detection determined by the manufacturers for each assay as the cutoff, conveying an analytical perspective; and the other used clinically relevant cutoffs, as defined in the literature [Kopylov et al. 2012; Ungar et al. 2015].
Regarding the analytical approach, IFX was considered positive when above 0.1 µg/ml using the in-house and Theradiag methods. For the Immundiagnostik kit, positivity was considered for IFX concentrations above 0.5 µg/ml. The in-house ELISA technique detected trough levels in 61 of 79 samples, a detection rate similar to that verified using the Immundiagnostik method (78%). Using Theradiag the IFX trough levels were detected in fewer sera (71%). The accuracy and KAPPA coefficients for these methods using the analytical cut-off are depicted in Table 2(A). In-house and Theradiag ELISA showed a moderate agreement (0.509), whereas the in-house/Immundiagnostik and Immundiagnostik/Theradiag had a substantial agreement (0.69 and 0.726, respectively). Moreover, a good accuracy was found among the three assays (81–88%).
Table 2.
Agreement |
||
---|---|---|
Accuracy | KAPPA [95% CI] |
|
(A) IFX (>0.1 µg/ml in-house and Theradiag; 0.5 µg/ml Immundiagnostik) | ||
In-house ELISA/ Theradiag ELISA | 81% | 0.509 [0.295–0.722] |
In-house ELISA/ Immundiagnostik ELISA | 87% | 0.697 [0.526–0.868] |
Immundiagnostik ELISA / Theradiag ELISA | 88% | 0.726 [0.559–0.893] |
(B) IFX (>1 µg/ml) |
||
In-house ELISA/ Theradiag ELISA | 92% | 0.840 [0.716–0.963] |
In-house ELISA/ Immundiagnostik ELISA | 96% | 0.922 [0.836–1.000] |
Immundiagnostik ELISA / Theradiag ELISA | 92% | 0.835 [0.709–0.960] |
CI, confidence interval; ELISA, enzyme-linked immunosorbent assay; IFX, infliximab.
Considering the clinical approach, IFX was defined as positive for concentrations above 1 µg/ml. The cutoff was settled taking in consideration cutoffs reported previously in the literature [Kopylov et al. 2012; Ungar et al. 2015].
The in-house ELISA detected positive IFX trough levels in 48 of the 79 samples (61%), while the Immundiagnostik kit did so in 45 of the 79 samples (57%) and the Theradiag kit did so in 49 of the 79 samples (62%). The data regarding IFX trough levels obtained using the different assays is shown in Table 2(B).
The accuracy and KAPPA coefficient between the three different assays were calculated (Table 2B). All assays showed excellent agreement regarding IFX levels, with the KAPPA coefficient ranging from 0.835 (0.709–0.960) between Immundiagnostik and Theradiag results, to 0.922 (0.836–1.000) between the in-house assay and Immundiagnostik results. A high level of accuracy was found between the three assays, with the in-house and Immundiagnostik assays showing the highest accuracy (96%).
ADA levels
The ICC and mean difference for ADAs could not be evaluated because the different assays used different units of measurement (µg/ml for in-house assay and Theradiag and AU/ml for Immundiagnostik).
From an analytical point of view, ADAs positivity was defined as levels above 1.2 µg/ml for in-house method, 0.01 µg/ml for the Theradiag kit and 10 AU/ml for Immundiagnostik kit. All techniques have identified the same number of ADAs-positive samples (46%). Accuracy and KAPPA coefficient were calculated and are depicted in Table 3(A): a good accuracy was found for the three assays (82–85%), whereas KAPPA coefficient shown a moderate agreement.
Table 3.
Agreement |
||
---|---|---|
Accuracy | KAPPA [95% CI] |
|
(A) ADAs (>1.2 µg/ml for in-house and >0.01 µg/ml Theradiag; >10 AU for Immundiagnostik) | ||
In-house/ Theradiag | 85% | 0.695 [0.539–0.851] |
In-house/Immundiagnostik | 82% | 0.643 [0.472–0.814] |
Theradiag /Immundiagnostik | 82% | 0.635 [0.463–0.807] |
(B) ADAs (>1.7 µg/ml for in-house and Theradiag; >10 AU/ml for Immundiagnostik) | ||
In-house/ Theradiag | 81% | 0.602 [0.435–0.769] |
In-house/Immundiagnostik | 85% | 0.692 [0.531–0.852] |
Theradiag /Immundiagnostik | 83% | 0.653 [0.492–0.814] |
AU, arbitrary units; CI, confidence interval; ELISA, enzyme-linked immunosorbent assay; IFX, infliximab.
A clinical approach to the ADAs positivity is shown in Table 3(B). Samples were considered ADA-positive when levels exceeded 1.7 µg/ml for the in-house (AHLC) as applied by Kopylov and colleagues [Kopylov et al. 2012]. For Theradiag the same cutoff was applied. For the Immundiagnostik (SFPE) assay ADA-positive were considered when >10 AU (cutoff defined by the manufacturer for positivity). The in-house and Immundiagnostik assays detected ADAs in 34 out of 79 samples (43%), while Theradiag detected ADAs in 24 out of 79 samples (30%). Although the in-house and Immundiagnostik assays detected the same number of samples with ADAs not all samples matched. In fact, ADAs were confirmed by both the in-house and Immundiagnostik assay in 28 out of the 34 samples (82%). Regarding the comparative performance of Theradiag with the in-house and Immundiagnostik assays, of the 24 samples with ADAs identified by Theradiag, 21 (87.5%) were also positive in both the in-house and Immundiagnostik assays. Nevertheless, the in-house and Immundiagnostik assays considered positive 13 and 12 samples, respectively, that were negative with Theradiag.
Moderate agreement was found between the in-house and Theradiag assays, with a KAPPA coefficient of 0.602 (0.435–0.769) while the in-house and Immundiagnostik assays showed good agreement with a KAPPA coefficient of 0.692 (0.531–0.852). Accuracy ranged from 81% to 85% among the different pairs of assays (Table 3B).
IFX and ADA status
Figure 2 depicts the levels of IFX and ADAs evaluated by all assays. The vertical dotted line separates samples positive for IFX from samples negative for IFX. The horizontal dotted line separates samples positive for ADAs from samples negative for ADAs. Both analytical and clinical perspectives are represented in Figure 2. From the analytical point of view, 71–77% of total samples are included in IFX+ group, and 45% in anti-IFX+. On the other hand, from a clinical perspective all the three assays identified 25% of samples positive for ADAs and IFX-negative. However, the group of samples that had a double-positive status for both IFX and ADAs were identified almost exclusively by the in-house and Immundiagnostik assays. Theradiag detected only three samples that were positive for ADAs in the presence of the drug. However, these three samples were considered IFX-negative by the other two assays.
Thereafter, we focused on the double status of IFX and ADAs. As the IFX/ADAs group definition depends directly on the cutoffs applied, the two different approaches (analytical and clinical) were taken into consideration. Tables 4 and 5 show the agreement between assays for different combinations of IFX/ADA status from an analytical and clinical perspective, respectively.
Table 4.
Agreement |
|||||
---|---|---|---|---|---|
Accuracy | KAPPA [95% CI] |
||||
In-house assay versus Theradiag assay(a) | Theradiag assay versus In-house assay(b) | ||||
IFX + ADA– 85% (n = 40) |
IFX + ADA + 38.1% (n = 21) |
IFX + ADA – 85% (n = 40) |
IFX + ANTI + 50% (n = 16) |
68% | 0.502 [0.355–0.649] |
IFX - ADA – 0% (n = 2) |
IFX – ADA + 75.0% (n = 16) |
IFX - ADA – 0% (n = 2) |
IFX – ADA+ 57.1% (n = 21) |
||
In-house assay versus Immundiagnostik(c) | Immundiagnostik assay versus In-house assay(d) | ||||
IFX + ADA – 85.0% (n = 40) |
IFX + ADA + 35.0% (n = 20) |
IFX + ADA – 85.0% (n = 40) |
IFX + ADA + 58.3% (n = 12) |
72% | 0.566 [0.425–0.707] |
IFX - ADA – 33.3% (n = 3) |
IFX – ADA + 93.8% (n = 16) |
IFX - ADA – 33.3% (n = 3) |
IFX – ADA + 62.5% (n = 24) |
||
Immundiagnostik assay versus Theradiag assay(e) | Theradiag assay versus Immundiagnostik(f) | ||||
IFX + ADA – 84.6% (n = 39) |
IFX + ADA + 41.7% (n = 12) |
IFX + ADA – 82.5% (n = 40) |
IFX + ADA + 31.3% (n = 16) |
77% | 0.562 [0.415–0.707] |
IFX - ADA – 0.0% (n = 2) |
IFX – ADA + 75.0% (n = 24) |
IFX - ADA – 0.0% (n = 1) |
IFX – ADA + 90.0% (n = 20) |
In-house assay was considered the reference assay and it was evaluated whether Theradiag confirmed the double status result.
Theradiag assay was considered the reference assay and it was evaluated whether in-house confirmed the double status result.
In-house assay was considered the reference assay and it was evaluated whether Immundiagnostik confirmed the double status result.
Immundiagnostik assay was considered the reference assay and it was evaluated whether in-house confirmed the double status result.
Immundiagnostik assay was considered the reference assay and it was evaluated whether Theradiag confirmed the double status result.
Theradiag assay was considered the reference assay and it was evaluated whether Immundiagnostik confirmed the double status result.
CI, confidence interval.
Table 5.
Agreement |
|||||
---|---|---|---|---|---|
Accuracy | KAPPA [95% CI] |
||||
In-house assay versus Theradiag assay(a) | Theradiag assay versus In-house assay(b) | ||||
IFX + ADA– 100% (n = 35) |
IFX + ADA + 0% (n = 11) |
IFX + ADA – 77.8% (n = 45) |
IFX + ANTI + 0% (n = 3) |
76% | 0.620 [0.489–0.751] |
IFX - ADA – 62.5% (n = 8) |
IFX – ADA + 79.2% (n = 24) |
IFX - ADA – 55.6% (n = 9) |
IFX – ADA+ 90.5% (n = 21) |
||
In-house assay versus Immundiagnostik(c) | Immundiagnostik assay versus In-house assay(d) | ||||
IFX + ADA – 83.8% (n = 37) |
IFX + ADA + 54.5% (n = 11) |
IFX + ADA – 88.6% (n = 35) |
IFX + ADA + 60% (n = 10) |
81% | 0.716 [0.591–0.841] |
IFX - ADA – 62.5% (n = 8) |
IFX – ADA + 95.7% (n = 23) |
IFX - ADA – 62.5% (n = 8) |
IFX – ADA + 84.6% (n = 26) |
||
Immundiagnostik assay versus Theradiag assay(e) | Theradiag assay versus Immundiagnostik(f) | ||||
IFX + ADA – 100% (n = 34) |
IFX + ADA + 0% (n = 10) |
IFX + ADA – 75.6% (n = 45) |
IFX + ADA + 0% (n = 3) |
76% | 0.625 [0.491–0.758] |
IFX - ADA – 66.7% (n = 6) |
IFX – ADA + 76.9% (n = 26) |
IFX - ADA – 50% (n = 8) |
IFX – ADA + 100% (n = 20) |
In-house assay was considered the reference assay and it was evaluated whether Theradiag confirmed the double status result.
Theradiag assay was considered the reference assay and it was evaluated whether in-house confirmed the double status result.
In-house assay was considered the reference assay and it was evaluated whether Immundiagnostik confirmed the double status result.
Immundiagnostik assay was considered the reference assay and it was evaluated whether in-house confirmed the double status result.
Immundiagnostik assay was considered the reference assay and it was evaluated whether Theradiag confirmed the double status result.
Theradiag assay was considered the reference assay and it was evaluated whether Immundiagnostik confirmed the double status result.
CI, confidence interval.
IFX+/ADAs-
The analytical approach has shown that 50% of samples had an IFX+/ADAs-status (Table 4). Agreement between assays was considered good (85%).
The clinical perspective exhibited a strong agreement ranging between 75.6 and 100% (Table 5). The poorest agreement between assays was observed when using Theradiag as the reference assay and Immundiagnostik as the confirmatory assay (75.6%).
IFX+/ADAs+
The double-positive samples obtained using the cutoffs given by the analytical perspective is shown in Table 4. The agreement was low (31.3–50%). The lowest agreement rate occurred for Theradiag and Immundiagnostik (considering Theradiag as the standard assay).
In contrast, for the double-positive status (IFX+/ADAs+) defined using the clinical approach, there was a significant discrepancy between Theradiag and the in-house and Immundiagnostik assays. The in-house assay detected a total of 11 double-positive sera and Immundiagnostik a total of 10 IFX+/ADAs+. Theradiag was able to detect three double-positive samples but neither were in agreement with the other assays. In fact, in those three samples, both the in-house and Immundiagnostik assay detected ADAs whereas IFX was considered undetectable.
IFX-/ADAs-
Using the analytical perspective (Table 4) only two or three double-negative samples were detected. Furthermore, Theradiag and the other two assays never agreed. The in-house and Immundiagnostik kit agreed in one out of three samples.
The detection of samples with double-negative status (IFX-/ADAs-) by clinical approach showed similar levels of agreement between pairs of assays (Table 5). When considering the in-house and Immundiagnostik assay there was 62.5% agreement, but when considering Theradiag as the reference assay, there was a lower level of agreement between methodologies (50–55.6%).
IFX-/ADAs+
From an analytical perspective, Immundiagnostik and Theradiag had a good agreement (75–90%) concerning IFX-/ADAs+. A very good agreement was also obtained for this status between the in-house and Immundiagnostik assays when considering in-house the standard test.
From the clinical point of view, IFX-/ADAs+ status showed good agreement (more than 84%) between the in-house and Immundiagnostik assays. The in-house and Theradiag assays showed a lower level of agreement, although it was still considered good at 90.5% and 79.2%, respectively.
Exogenous IFX in ADA-positive samples
To evaluate the effect of IFX on in-house, Immundiagnostik and Theradiag assessment of ADAs in sera, an experiment was designed that involved spiking with exogenous IFX. The influence of exogenous IFX incubation time was assessed previously and no differences were found (data not shown). An incubation time of 30 min was selected for further experiments.
Evaluation of ADA levels with exogenous IFX spiking in four groups of sera samples
To evaluate whether different intrinsic concentrations of ADAs are important when assessing the influence of exogenous IFX, we used stratified concentrations of ADA levels in sera (four different groups as evaluated previously: 1.7–3, 3–10, 10–25 and >25 µg/ml) and spiked them with exogenous IFX. The evaluation was performed using the in-house assay only. The results are presented in Figure 3. In-house assay lost the capability to detect levels of antibodies in sera samples with ADA levels between 1.7 and 3 µg/ml at concentrations of IFX over 5 µg/ml. The influence of exogenous IFX was also evident in the 3–10 µg/ml group, but loss of antibody detection capacity was only observed beyond 100 µg/ml IFX, which generally exceeds the therapeutic concentrations of infliximab in vivo even during induction phase [Adedokun et al. 2014]. A decreased ADA detection capacity was observed in the two upper groups (10–25 and >25 µg/ml) in a concentration-dependent manner, but in both groups the in-house assay was able to detect antibodies even with 300 µg/ml of exogenous IFX. Nevertheless, a significant reduction of detection capacity of 75% and 61% was observed in the 10–25 µg/ml and >25 µg/ml groups, respectively.
Evaluation of ADA levels with exogenous IFX spiking in two groups: high and intermediate levels of ADAs
Taking into account the above-mentioned results, we decided to explore the performance of the three assays under the interference of exogenous IFX. The two most representative groups were used: samples with ADAs within 3–10 µg/ml (intermediate) and those with >25 µg/ml (high level). Figures 4 and 5 present the results of the groups spiked with exogenous IFX at different concentrations (0, 5, 10, 15, 30, 100 and 300 µg/ml). Table 6 shows the half maximal inhibitory concentrations (IC50).
Table 6.
IC50 (µg/ml) |
||
---|---|---|
Intermediate levels 3 µg/ml > ADA <10 µg/ml |
High levels ADA >25 µg/ml |
|
In-house (AHLC) | 0.88 | 143.60 |
Immundiagnostik (SPFE) | 140.10 | NA |
Theradiag (BE) | NA | 74.89 |
IC50, half maximal inhibitory concentration; NA, IC50 value not determined because either 50% inhibition fell outside the highest concentration or because inhibition was 100% above the lowest concentration of IFX; ADA, anti-infliximab antibodies; AHLC, anti-human lambda chain; SPFE, semi-fluid phase enzyme; BE, bridging enzyme-linked immunosorbent assay.
Figure 4 (high levels of ADAs) illustrates that exogenous IFX only interfered with ADA detection at concentrations higher than 100 µg/ml. Spiking 100 µg/ml of exogenous IFX in sera samples with high levels of ADA resulted in a decline in ADA detection of 87%, 46% and 16% in the Theradiag, in-house and Immundiagnostik assays, respectively. Nevertheless, in-house showed a higher IC50 than Theradiag, at 143.6 µg/ml versus 74.9 µg/ml, respectively, indicating that it was less affected than Theradiag by the presence of IFX. In the Immundiagnostik assay the influence of exogenous IFX showed a lower decline in ADA detection. In fact, 300 µg/ml decreased ADA detection by 17% (the IC50 was therefore impossible to determine), while in in-house and Theradiag assays, ADA detection decreased by 75% and 93%, respectively. However, all methodologies were able to detect ADAs, in sera originally positive for high levels of ADAs, even with 300 µg/ml of exogenous IFX.
Figure 5 shows exogenous IFX interference in sera samples with intermediate levels of ADAs. The presence of exogenous IFX decreased ADA detection in Theradiag and in-house with the lower concentration (5 µg/ml) of exogenous IFX. For Theradiag this decrease led to the inability to detect ADAs and consequently it was impossible to determine the IC50. In-house showed an IC50 of 0.88 µg/ml while Immundiagnostik showed a higher value of 140.1 µg/ml. At 300 µg/ml the interference was stronger in Theradiag (97%) while in in-house detection decreased by 74%. In-house failed to detect ADAs at IFX concentrations of 300 µg/ml, which are above the therapeutic levels achieved in vivo. Above 30 µg/ml IFX the Immundiagnostik assay was influenced by an additive concentration effect but was able to detect ADAs even at the higher concentration (300 µg/ml) of exogenous IFX (total decrease of 60%).
IgG4 ADAs
In order to evaluate the influence of IgG4 ADAs, samples positive for ADAs were tested for the presence of IgG4. IgG4 ADAs were found in 54.8% of the ADA-positive samples. Figure 6 shows the levels of IFX and IgG4 in samples that were ADA-negative with Theradiag but ADA-positive for both the in-house and Immundiagnostik assays. Of the eight samples negative for antibodies with Theradiag, five presented positive levels of IFX and three presented IgG4 ADAs.
Discussion
Several methodologies are available for use in drug monitoring. However, different methodologies return different results. There is still little information comparing different assays, in particular for ADA detection, which is susceptible to interference in the presence of detectable levels of IFX.
The aim of this study was to evaluate and compare three different assays for detecting IFX and ADAs and to clarify the importance of the presence of detectable levels of IFX on the accuracy of the ADA assays.
Cutoffs for a qualitative evaluation of the assays are difficult to establish, particularly for ADAs assays. In fact, ADAs results are expressed in different units by the different assays. In addition, Immundiagnostik defines a cutoff for positivity that is different from the limit of detection and not suggested by all commercial assays. The manufacturers’ instruction for Theradiag do not contain any suggestion for a cutoff for ADAs positivity besides the limit of detection of 0.01 µg/ml. Van Schouwenburg and colleagues have shown that BE assays (Theradiag methodology) performance is depend not only of the amount of antibody in the serum but also of the affinity of ADAs to the assay [Van Schouwenburg et al. 2016]. This indicates a possible source of intervariability of the assay, namely for values near the limit of detection. In fact, our results show that with Theradiag 70% of the values considered to be positive, with analytical approach, are between 0.01 and 0.04 µg/ml. This might be a reflection of the intervariability of the assay, rather than a faithful quantification of the presence of antibodies. Taking this into consideration, we have decided to perform two different approaches in the qualitative analyses of the results: an analytical one, in which cutoffs were defined by the manufacturers’ instructions; and a clinical one, in which the cutoffs were defined according to the literature.
From an analytical perspective, IFX assays showed a substantial agreement and a good accuracy, although the in-house and Theradiag methods had only a moderate agreement. On the other hand, upon applying a cutoff of 1 µg/ml, the behavior of the three assays is very similar. This suggests that using the limit of detection as a cutoff may decrease the quality agreement between assays.
The behavior of the three assays in terms of IFX determination was very similar. In fact, an accuracy of over 92% for IFX was observed when analyzing the agreement between the three assays. An agreement of 100% (data not shown) was observed between the in-house and Immundiagnostik assays for IFX-negative samples, while the Theradiag assay identified four IFX-positive samples that the other two assays returned as negative. Casteele and colleagues also evaluated three IFX assays based on the sandwich ELISA principle and found good correlation between them [Casteele et al. 2012]. The authors used the same commercial kit as used here (Theradiag). In fact, Theradiag returned 11 positive samples that were negative according to the other two assays, showing that this assay can detect nonspecific binding. Overall, high titers in one assay were also high in the other two assays. Nevertheless, the Immundiagnostik and in-house assays were able to detect higher levels of IFX in sera samples, which may indicate the use of a more specific anti-human IgG antibody in the detection step in these assays than in Theradiag. The agreement between the three assays seemed to be more qualitative than quantitative. The three methodologies use the same ELISA sandwich principle, but there are some idiosyncratic differences that can explain the small discrepancies in quantitative evaluation: different detection limits and test sensitivity; reagent stability; different calibration standards and curve adjustment; and different sample dilution, manipulation and processing (e.g. different incubation times). Nevertheless, from a clinical point of view, the information given by the three assays (presence of positive/negative levels; low/therapeutic/high levels of the drug) showed acceptable interassay agreement. However, clinicians should be aware that changing drug level assays during patient follow up could induce errors in the interpretation of results and subsequent therapeutic strategies.
ADAs were evaluated using three methodologies: in-house AHLC, Immundiagnostik SFPE and Theradiag BE. These three assays have different methodological principles. The in-house AHLC is a sandwich ELISA that uses anti-human lambda chain conjugate antibody in the detection step, benefitting from IFX kappa chain exclusive composition [Kopylov et al. 2012]. The Theradiag BE uses a double-antigen bridge: ADAs create a bridge between IFX immobilized on the plate and IFX enzyme-linked conjugate. The Immundiagnostik SFPE uses an initial acid buffer treatment to dissociate the IFX–ADA immune complexes and two IFX conjugates with different types of conjugates. Acidified samples are incubated with an IFX–biotin conjugate, which immobilizes ADAs to the plate, whilst an IFX–peroxidase conjugate is used for detection.
A total of 79 samples of sera were compared using the three assays. The analytical approach showed the same moderate agreement for the three assays than the clinical approach. However, and from the analytical perspective, Theradiag was able to detect 37 positive ADAs, whereas from a clinical perspective only 24 patients were considered to be positive for ADAs. Conversely, the in-house assay detected almost the same number of ADA-positive patients with the two approaches (34 for analytical versus 37 for clinical). The results obtained using a clinical perspective with the Theradiag kit suggest a high rate of false-negative outcomes. This high prevalence of false-negative outcomes with Theradiag was reported previously by other authors [Imaeda et al. 2012; Steenholdt et al. 2013]. Kopylov and colleagues reported that BE was unable to detect ADAs in the presence of IFX [Kopylov et al. 2012]. Our results showed that 22 out of 24 ADA-positive samples were IFX-negative. Only three patients showed a double-positive status with Theradiag, however neither was confirmed as IFX-positive in the in-house or Immundiagnostik assay. These samples were probably false positive for IFX. In fact, the disagreement of the in-house and Immundiagnostik assay with Theradiag for double-positive status (IFX+/ADAs+) was 100%. Since Theradiag uses labeled IFX as the detection antibody, the presence of IFX may compete with the detection of the ADAs. On the other hand, the BE is unable to detect monovalent IgG4 ADAs, contributing to the false-negative results. Our results were consistent with these two statements and showed that samples positive for ADAs with the in-house and Immundiagnostik assays, but negative with Theradiag, one of two situations occurred: (i) sera samples were IFX-positive; or (ii) ADAs were IgG4 antibodies. The inability to detect antibodies in the presence of the drug is important as two recent studies have shown that patients with IFX levels >3 µg/ml but with positive ADA have significantly higher levels of C-reactive protein (CRP) and less mucosal healing [Casteele et al. 2015; Yanai et al. 2015], indicating a reduced control of inflammation mediated by these antibodies even when drug levels are adequate.
In order to understand the influence of drug presence on ADA detection, we designed an experiment using IFX-negative sera that were incubated with different concentrations of exogenous IFX. The in-house assay was slightly affected by 5 µg/ml exogenous infliximab but was able to detect antibodies up to 100 µg/ml of IFX. Kopylov and colleagues described the same drug concentration dependency for the AHLC assay [Kopylov et al. 2012]. However, our results permit us to define which concentration of IFX decrease the assay capacity to determine ADAs. The Immundiagnostik assay showed the best behavior in the presence of exogenous IFX. Interference was observed above 100 µg/ml of exogenous IFX but the assay was able to detect ADAs even at the higher concentration of 300 µg/ml of IFX. However, the results obtained in sera with high levels of ADAs were surprising and to the best of the authors’ knowledge have not been reported previously. Even the Theradiag BE, which is widely described as being unable to detect antibodies in the presence of the drug, was able to identify ADA-positive samples in the presence of high levels of exogenous IFX. The results indicated that assays are not only limited by the levels of drug in the sera but also by the concentration of ADAs. These phenomena could be explained as follows: (i) in Theradiag, ADAs bind to all free drug in serum but there is still enough ADAs to bind to the plated IFX and bridge it to the conjugated one; (ii) in Immundiagnostik high levels of ADAs are most likely to diminish free IFX interference.
In summary, for IFX drug level determination, the three methodologies are equivalent, however the agreement between them seems to be more qualitative than quantitative. Regarding ADAs, despite being equally effective, the three assays show significant differences. Disagreement increased when samples had a double-positive or double-negative status, probably related to the specific limitations of each assay. The choice of cutoff to discriminate positive versus negative also enhances disagreement. This led us to define two different approaches with different cutoffs and present both evaluations. Clinical approach seems to highlight inabilities of the assays. In fact, Theradiag showed inability to detect positive ADA levels in samples with IFX (<5 µg/ml) or a high percentage of IgG4 ADAs. IgG4 ADAs are monovalent and unable to create a bridge with the labeled IFX used in detection step. In contrast, both the in-house assay and the Immundiagnostik assay are able to detect ADAs in the presence of IFX up to levels of >100 µg/ml which conform with the therapeutic concentrations observed in patients receiving IFX. Unexpectedly, in samples with high levels of ADAs (>25 µg/ml), the presence of IFX was not as important and even Theradiag was able to detect antibodies. Nevertheless, Immundiagnostik was least affected by IFX, followed by the in-house assay. In conclusion, our results indicated that assays are not only limited by the levels of drug in the sera but also by the concentration of ADAs.
Clinicians must be aware when optimizing treatment that binary (IFX/ADAs) stratification of results as positive and negative can differ according to the assay used. There is a strong agreement between assays for IFX+/ADAs- and IFX-/ADAs+ status. The choice of assay will probably have little influence on therapeutic decisions to change the class of drug (IFX+/ADA-) or change anti-TNFα antibody (IFX-/ADAs+). However, erroneous therapeutic decisions may occur when patients show double-negative or double-positive status, since agreement between assays is significantly lower in these circumstances. Treatment intensification (IFX-/ADAs-) and change of drug class or concomitant use of immunomodulators (IFX+/ADAs+) should take into account the fact that the results are assay dependent.
Acknowledgments
We thank Sandra Dias for her contribution as the GEDII coordinator.
Joana Afonso performed all laboratory experiments and participated in the data analysis, interpretation and drafting of the manuscript. Susana Lopes, Raquel Gonçalves, Paulo Caldeira, Paula Lago, Helena Tavares de Sousa, Jaime Ramos, Ana Rita Gonçalves, Paula Ministro, Isadora Rosa, Ana Isabel Vieira, Rosa Coelho, Patrícia Tavares, João-Bruno Soares, Diana Carvalho, Paula Sousa and Tânia Meira participated in patient recruitment and data collection. Filipa Silva Ferreira participated in data analysis and interpretation. Claudia Camila Dias performed the statistical analysis and participated in data analysis and interpretation. Yehuda Chowers and Shomron Ben-Horin revised the manuscript critically for important intellectual content. Fernando Magro conceived and designed the study, participated in data analysis, interpretation and drafting of the manuscript, and revised it critically for important intellectual content. All authors read and approved the final version of the manuscript.
Footnotes
Funding: This work was supported by the Portuguese Group of Studies in Inflammatory Bowel Disease (GEDII), Portugal, and partially by the European Regional Development Fund (ERDF); COMPETE (Operational Programme ‘Thematic Factors of Competitiveness) and Fundação para a Ciência e a Tecnologia, Portugal (FCT) [grant number EXPL/IVC-PEC/1302/2013].
Conflict of interest statement: The authors declare that there is no conflict of interest.
Contributor Information
Joana Afonso, Department of Pharmacology and Therapeutics, Faculty of Medicine, University of Porto, Porto, Portugal MedInUP, Centre for Drug Discovery and Innovative Medicines, University of Porto, 4200 Porto, Portugal.
Susana Lopes, Gastroenterology Department, Centro Hospitalar São João, Porto, Portugal.
Raquel Gonçalves, Gastroenterology Department, Hospital de Braga, Braga, Portugal.
Paulo Caldeira, Gastroenterology Department, Centro Hospitalar do Algarve, Faro, Portugal.
Paula Lago, Gastroenterology Department, Centro Hospitalar do Porto, Porto, Portugal.
Helena Tavares de Sousa, Gastroenterology Department, Centro Hospitalar do Algarve, Portimão, Portugal Departament of Medicine e Medical Biosciences, University of Algarve, Faro, Portugal.
Jaime Ramos, Gastroenterology Department, Centro Hospitalar de Lisboa, Lisboa, Portugal.
Ana Rita Gonçalves, Gastroenterology Department, Centro Hospitalar Lisboa Norte, Lisboa, Portugal.
Paula Ministro, Gastroenterology Department, Hospital de S. Teotónio, Viseu, Portugal.
Isadora Rosa, Gastroenterology Department, Instituto Português de Oncologia de Lisboa, Lisboa, Portugal.
Ana Isabel Vieira, Gastroenterology Department, Hospital Garcia de Orta, Almada, Portugal.
Rosa Coelho, Gastroenterology Department, Centro Hospitalar São João, Porto, Portugal.
Patrícia Tavares, Gastroenterology Department, Centro Hospitalar São João, Porto, Portugal.
João Soares, Gastroenterology Department, Hospital de Braga, Braga, Portugal.
Ana Lúcia Sousa, Gastroenterology Department, Centro Hospitalar do Algarve, Faro, Portugal.
Diana Carvalho, Gastroenterology Department, Centro Hospitalar de Lisboa, Lisboa, Portugal.
Paula Sousa, Gastroenterology Department, Hospital de S. Teotónio, Viseu, Portugal.
João Pereira da Silva, Gastroenterology Department, Instituto Português de Oncologia de Lisboa, Lisboa, Portugal.
Tânia Meira, Gastroenterology Department, Hospital Garcia de Orta, Almada, Portugal.
Filipa Silva Ferreira, Department of Pharmacology and Therapeutics, Faculty of Medicine, University of Porto, Porto, Portugal MedInUP, Centre for Drug Discovery and Innovative Medicines, University of Porto, 4200 Porto, Portugal.
Cláudia Camila Dias, Department of Pharmacology and Therapeutics, Faculty of Medicine, University of Porto, Porto, Portugal.
Yehuda Chowers, Gastroenterology Department, Rambam Health Care Campus and Bruce Rappaport School of Medicine, Technion Israel Institute of Technology, Israel.
Shomron Ben-Horin, IBD Service, Department of Gastroenterology, Sheba Medical Center and Sackler School of Medicine, Tel-Aviv University, Israel.
Fernando Magro, Gastroenterology Department, Medical School, Centro Hospitalar São João, Alameda Prof. Hernâni Monteiro, 4200-319 Porto, Portugal.
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