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Journal of Clinical Microbiology, November 2007, p. 3581-3588, Vol. 45, No. 11
0095-1137/07/$08.00+0 doi:10.1128/JCM.00128-07
Copyright © 2007, American Society for Microbiology. All Rights Reserved.

Turku University of Applied Sciences, Life Sciences, Turku, Finland,1 Laboratory of Biophysics, Institute of Biomedicine, and Medicity Research Laboratories, University of Turku, Turku, Finland,2 Department of Virology, University of Turku, Turku, Finland,3 Arctic Diagnostics Oy, Turku, Finland4
Received 18 January 2007/ Returned for modification 18 March 2007/ Accepted 31 August 2007
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Rapid virus diagnoses help to manage virus outbreaks and to reduce the empirical use of antibiotics, as positive virus test result can often be used to exclude bacterial etiology. Many of the patients with pharyngitis, bronchitis, or common flu are still prescribed antibiotics, just in case, although it is now well known that most cases are caused by viral pathogens. The superfluous use of antibiotics has lead to increasing antibiotic resistance of bacteria, which is commonly recognized as a major threat to public health (24, 42). The unnecessary use of antibiotics could often be avoided if a reliable positive virus test result or negative bacterial test result was available at the point of care. It has been shown that rapid virus diagnosis is advantageous for both society and the patient, as it shortens hospitalization times, decreases unnecessary prescription of antibiotics, and speeds patient recovery (3, 28, 44). To cope with future challenges, new and improved analytical methods for point-of-care testing of infectious diseases are needed.
An important property of viral antigen detection methods is good specificity (19). A false-positive virus test result may lead to inappropriate medication and severe infection complications by other, undetected, disease-causing microorganisms (19). Precision requirements of virus assays are not strict since the tests are qualitative in nature; the patient is either infected or not infected. Moreover, methods for virus detection from respiratory specimens are prone to result variation due to inconsistent specimen composition and collection procedures (13). An ideal assay method for pathogen detection from respiratory specimens would be rapid, simple, and cost-effective. The method should also allow automated and quantitative result readout. So far, these objectives have not been reached by a single assay technique.
In this paper, we present a new immunoassay technique for rapid antigen detection of influenza A and B viruses. The new technique is based on a separation-free bioaffinity assay technique, ArcDia TPX, and the use of dry-chemistry reagents. The assay technique employs microspheres as a solid-phase reaction carrier, fluorescent antibody conjugates, and the detection of two-photon excited fluorescence from individual microspheres (10, 30, 41). The technique allows quantitative separation-free bioaffinity assays from a volume of a few microliters in subpicomolar sensitivity (15, 29). The applicability of the technique for the detection of serum antigens (10, 15) and antibodies (17), for the detection of antigens bound on the cell surface (32), for competitive binding assays (33), and for recognition of nucleic acid sequences (22, 35) has been demonstrated. The aim of the present study was to develop methods with short turnaround times for rapid point-of-care testing for influenza A and B viruses.
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Clinical specimens. Pretreated nasopharyngeal specimens (collected by aspiration or by swabs) (n = 65) were obtained from the specimen library of the Diagnostic Unit, Department of Virology, University of Turku, Turku, Finland. Influenza A virus-positive samples represented influenza virus subtypes of H1N1 and H3N2. The sample pretreatment technique was reported previously in the literature (39). In brief, the samples were diluted (1:5) in phosphate-buffered saline containing 2% Tween 20 and 20% newborn calf serum and sonicated to disrupt the mucus. During the study, each patient sample was measured at least four times with new two-photon excitation (TPX) methods.
Preparation of immunoassay reagents. Microspheres were coated with monoclonal anti-influenza virus antibodies (clone A3 for influenza A virus and clone B2, B4, 5H, 6H, 2/3, IB633, or 1/22 for influenza B virus) by using passive coating and EDAC [1-ethyl-3-(3-dimethylaminopropyl)carbodiimide] fixation as described previously (41). Monoclonal anti-influenza virus antibodies (clone A1 for influenza A virus and clone B2, B4, 5H, 6H, 2/3, IB633, or 1/22 for influenza B virus) were labeled with succinimidyl ester of the fluorescent labeling reagent by using a method described previously (41). The average number of label molecules per antibody after conjugation (labeling degree) was determined by photometry similarly to a procedure described previously by Waris et al. (41). Nanoparticle tracer (NPT) for influenza B virus was prepared from nanoparticles, ArcDia BF 530 dye, and antibodies (clones B2, 2/3, IB633, 1/22, and B4) as described previously in the literature (31).
Assay principle of the TPX assay technique. The new assay methods on the TPX detection platform followed the immunometric assay principle. The immunometric binding reaction takes place on the surface of monodisperse polystyrene microspheres, which have been coated with monoclonal antibodies specific for influenza A or B virus antigens. These microspheres work as a solid-phase reaction carrier for the immunocomplex formation. Fluorescence from the surface of the individual microspheres is measured separation free, directly from the reaction mixture, using the ArcDia TPX detection technique (29). The optical configuration of the fluorometer (15) and the physical phenomena related to the measurement technique were described previously (30).
Immunoassay procedure. An assay reagent cocktail was prepared by mixing equal volumes of microparticle suspension (2 x 107 pieces/ml in dry-chemistry buffer) and fluorescent tracer in dry-chemistry buffer (molecular tracer for influenza A virus, 8 nM; NPT for influenza B virus, 2.4 x 1013 nanoparticles/liter). The cocktail was dispensed (5 µl) in the assay wells of a 384-well format microtiter plate with Tecan dispensor automate MiniPrep 60 (Tecan Systems Inc., CA). Pretreated clinical nasopharyngeal specimens were thawed and bath sonicated for 20 s. The samples were diluted with assay buffer by factors of 3 and 15, if not otherwise stated. For wet-chemistry assays, the addition of the reagent into the assay wells was immediately followed by the manual addition of prediluted samples (15 µl), and the wells were sealed with a plate-sealing film. For dry-chemistry assays, the wells were evaporated to dryness in a desiccator over silica gel (22°C overnight). The prediluted samples were dispensed manually (20 µl) in the assay wells containing the reagents in a dry state, and the wells were sealed with the film. The wells were incubated at room temperature under continuous stirring (Eppendorf ThermoShaker at 1,400 rpm). The reaction mixtures in wells of 384-well plates were measured with an ArcDia TPX plate reader (PR6-001; ArcDia Ltd., Turku, Finland) using a measurement time of 25 s per well. During this measurement time, typically 20 to 40 individual microspheres were measured. Microsphere-specific data obtained from single assay wells were subjected to a data reduction algorithm similar to that described recently by Glotsos et al. (8). In order to compensate for the effect of fluorescent sample matrix components, the microsphere-specific signal was normalized to the solution fluorescence count. Analytical sensitivity of the method was defined as the signal level exceeding the negative control by three times the intra-assay standard deviation (3SD), whereas the limit for a positive test result (cutoff) was calculated from the interassay signal variation of negative samples.
Reference methods. Time-resolved fluoroimmunoassay (TR-FIA) (also known as dissociation-enhanced lanthanide fluoroimmunoassay) methods for influenza A and B viruses were used as reference methods (25, 40). The TR-FIA technique has been extensively described and is known to provide subpicomolar sensitivity, which exceeds that of conventional colorimetric enzyme-linked immunosorbent assay (ELISA). The TR-FIA methods utilize clone A3 as the capture antibody and clone A1 as the tracer antibody for influenza A virus (38, 39) and clone B2 as both the capture antibody and the tracer antibody for influenza B virus (38, 39). Performance of the methods in comparison to ELISA and culture has been demonstrated in the literature (25, 40). Borderline samples were confirmed with PCR methods (similarly to methods described previously in references 6 and 18) for influenza A or B virus. The TR-FIA and PCR methods are in daily clinical diagnostic use in the Diagnostic Unit, Department of Virology, University of Turku, Turku, Finland.
Statistical analyses. The microsphere-specific data were analyzed using an R package (version 2.2.1; R Foundation for Statistical Computing) based on a method described by Glotsos et al. (8). Pearson correlations were calculated using SAS Enterprise Guide (version 3; SAS Institute Inc.). Coefficients of variation (CVs) (percent) were calculated from sets of at least 18 repeated measurements (four to six different analyte concentrations).
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(ii) Method for influenza B virus. Assay methods for influenza B virus were constructed using antibody clones of B2, 2/3, IB633, and 1/22, all recognizing the nucleoprotein antigen, and 5H, 6H, and B4, all recognizing the hemagglutinin antigen. These clones were tested in all reasonable combinations as capture and as tracer antibodies using the molecular label approach. The reaction components were further optimized with respect to labeling degree and tracer concentration. The study revealed, however, that the performances of the new influenza B virus methods were markedly compromised compared to the reference method (data not shown).
In order to improve the performance of the influenza B virus method, a nanoparticle fluorescent tracer approach was used. NPTs were prepared by impregnating polymer nanospheres with fluorescent dye to obtain a label reagent with fluorescence intensity 100 times higher than that of the corresponding molecular label. The nanoparticles were then coated with antibodies and analyzed with photon correlation spectrometry. The average sizes (CVs) of the B2, 2/3, IB633, 1/22, and B4 NPTs were 210 nm (10%), 200 nm (8%), 180 nm (8%), 250 nm (5%), and 150 nm (7%), respectively.
The assay methods employing NPTs were optimized with respect to antibody clones and tracer concentrations (data not shown). The results showed that the highest signal-to-background ratios and reaction rates were obtained using clone B2 as the capture antibody and clone 2/3 as the tracer antibody in a final reaction concentration of 0.3 x 1013 pieces/liter (5 pM). The improvement in the signal-to-background ratios provided by the NPT reagent, compared to the corresponding optimized method using the molecular tracer, was in the order of 3- to 10-fold, depending on the analyte concentration and incubation time (see results in Fig. 1). The corresponding improvement in sensitivity was slightly compromised due to elevated signal imprecision (15% CV, on average) compared to that of the molecular tracer method (8% CV, on average) (see results in Fig. 1).
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FIG. 1. Dose-response curves for influenza B virus methods using molecular tracer (dashed line, 3SD of signals of negative control reactions) and NPT (dotted line, 3SD of signals of negative control reactions) at the 120-min time point.
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(iii) Dry-chemistry reagent approach. In order to allow simple assay protocols and to prolong the shelf life of the assay reagents, dry-chemistry reagents are widely used in commercial test kits. Recently, we introduced such dry-chemistry methodology to separation-free immunoassays on the TPX platform (16). In the present study, for the first time, we applied the same methodology to a method that employs NPT reagent. This was expected to be very challenging, as nanoparticle reagents are characterized by a tendency for aggregation. Any significant change in conditions of the NPT colloid can trigger the aggregation process. The performance of the dry-chemistry method was studied in comparison to that of a corresponding wet-chemistry method. Surprisingly, no difference in signal level, imprecision, or sensitivity between wet- and dry-chemistry methods was observed, as shown in Fig. 2. In order to evaluate the stability of the dry-chemistry reagents (for influenza A and B viruses), the dry-chemistry assay wells were stored refrigerated (+6°C) for variable times (0 to 12 weeks), after which they were used for the assays with clinical samples. The results of this study showed that at each time point and for each patient sample, the test indicated the same clinical result (negative or positive) as the original wet-chemistry assay (Table 1). This was the case, although the samples were freeze-thawed between the measurements at different time points, which tends to lower signal levels in the immunoassay. Thus, the results suggest that the storage time did not affect the performance of the dry-chemistry reagents.
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FIG. 2. Dose-response curves for influenza B virus NPT method using wet-chemistry (sample volume, 15 µl) and dry-chemistry (sample volume, 20 µl) reagents. Dashed and dotted lines are 3SD (of negative control reactions) levels of the wet-chemistry and the dry-chemistry methods, respectively.
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TABLE 1. Assay results for clinical samples using dry-chemistry assay methods for influenza A virus and influenza B virus at different time points of reagent storage
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The linearity of the assay methods for influenza A and B viruses was studied using a dilution series from highly positive clinical samples (three for both influenza A and influenza B viruses) or purified influenza B virus. Both methods showed excellent linearity (R2
0.99) and a dynamic assay range of 3 orders of magnitude (Fig. 1). During the study, 15 hemolytic and 5 turbid samples were analyzed, and the new methods provided same clinical result for these samples as the reference TR-FIA methods. In addition, these samples located close to the mean line in TPX/TR-FIA correlation plots (Fig. 3 and see Fig. 5). Signal levels of the negative samples were measured at different incubation time points, while, typical for the TPX assay technique, neither signal levels nor imprecision was affected by the incubation time (data not shown).
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FIG. 3. Scatter plot presenting the correlation between the TPX method (x axis, arbitrary signal units) and the TR-FIA method (y axis, TR-FIA units) for influenza A virus. The figure shows signals of influenza A virus-positive and -negative samples and signals given by influenza B virus-positive samples (for the cross-reactivity study, all signals were below the cutoff level). The total number of samples is 59. Dashed lines present the cutoff values set for a positive test result. The sample on the bottom right ( ) was negative by TR-FIA but positive by TPX and PCR. The sample at the middle left (x) was positive by TR-FIA but negative by TPX and PCR.
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FIG. 5. Scatter plot presenting the correlation between the TPX method (x axis, arbitrary signal units) and the TR-FIA method (y axis, TR-FIA units) for influenza B virus detection. The figure shows signals of influenza B virus-positive and -negative samples and signals given by influenza A virus-positive samples (for the cross-reactivity study, all signals were below the cutoff level). The total number of samples is 65. The dashed lines present the cutoff values set for a positive test result.
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The kinetic measurement option of the TPX technique (separation-free detection) provides an easy means for determinations of performance as a function of time. Here, we determined the clinical sensitivity of the TPX method relative to that of the reference method (constant assay time of 2 h) at different time points of incubation. At 20 min, 23 out of 24 positive samples (3SD criteria) were determined to be positive by the new method, while two borderline samples remained negative at this time point. At 60 min, all of the positive and borderline samples were deemed positive (Fig. 4). The clinical sensitivity (including borderline samples) of the new method at 20 and 60 min in comparison to the TR-FIA method (PCR confirmed) were 88 and 100%, respectively. In addition, one extra positive sample was found by the TPX method. The correlation between assays carried out with wet and dry chemistries was excellent (Pearson correlation coefficient of 0.97; P < 0.0001), and both approaches indicated the same clinical result for each patient sample. None of the influenza B virus-positive (cross-reactivity study) or -negative samples gave positive results by the influenza A virus method (for data, see Fig. 3), indicating specificity close to 100% (n = 33). Intra-assay imprecision was studied by repeated measurement (n = 20) of the clinical samples. Samples in the low end of the response curve (n = 4) showed CVs between 6 and 13%, samples in the mid range (n = 4) showed CVs between 7 and 11%, and samples in the high end (n = 4) showed CVs between 7 and 16%.
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FIG. 4. Performance of the TPX method for influenza A virus detection at the 60-min time point. +, negative samples (n = 33); , borderline samples by TR-FIA (n = 2); x, positive samples (n = 24). The dashed line presents the cutoff value set for a positive test result.
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FIG. 6. Performance of the TPX method for influenza B virus detection at the 120-min time point. +, negative samples (n = 36); , borderline samples by TR-FIA (n = 4); x, positive samples (n = 25). The dashed line presents the cutoff value set for a positive test result.
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In this paper, we have described new rapid immunoassay methods for influenza A and B virus antigen detection that are based on the ArcDia TPX technique and the use of dry-chemistry reagents. The new technique is characterized by an extremely simple (one-step) and separation-free assay procedure, and it was shown to provide sensitivity and specificity comparable to those of TR-FIA reference methods and excellent method-to-method correlation. When considering the nature of collection of the respiratory specimen, and the precision requirements for virus antigen detection in general, the precision obtained with the new methods can be considered to be excellent. The results of this study show that the new assay technique fulfills the requirements for an efficient rapid assay method to detect virus antigens in respiratory specimens. According to the result of the present paper and those reported in our previous study (16), the new technique seems to be adaptable to point-of-care settings, still providing performance comparable to that of centralized laboratory methods.
The assay method for influenza A virus was constructed on the TPX platform by using the same nucleoprotein antibody clones as those used in the TR-FIA reference method. This antibody pair provided good assay performance on both method platforms. Development of the assay method for influenza B virus, however, was less straightforward. In order to improve the performance of the assay method for influenza B virus, several antibody clones were tested using the molecular label approach (clones B2, 2/3, IB633, 1/22, 5H, 6H, and B4) (data not shown). In our study, the best results were obtained by using B2 as the capture antibody and B2 or 2/3 as the tracer antibody. Overall, nucleoprotein antibodies showed better assay performance than hemagglutinin antibodies. Despite the extensive optimization work, the molecular label approach failed to reach sufficient clinical sensitivity required for influenza B virus testing.
It has been reported repeatedly in the literature that methods for influenza B virus antigen detection are characterized with lower sensitivity than corresponding methods for influenza A virus detection (19, 26). This was also the case in our study. This suggests that antigen and/or virus expression or secretion levels associated with influenza B virus infections are lower than those of influenza A virus infections. Prevalence of human anti-influenza antibodies in nasal secretions (5, 7) could also explain the low signal levels for influenza B virus due to competition with reagents. In the case of influenza A virus, however, nasopharyngeal specimens gave normal immunoassay signal levels. This finding refutes the notion of the prevalence of competing antibodies, as nasal secretions in influenza A and B virus infections probably contain comparable amounts of anti-influenza virus immunoglobulins.
To overcome the sensitivity limitations of the molecular label, fluorescent nanoparticle labels have been developed for several applications (12, 27). The use of NPT in relation to the separation-free TPX assay technique has also been reported (15). The use of NPTs can enhance the fluorescent signal yield per three-component bioaffinity complex to several orders of magnitude. Furthermore, each fluorescent nanoparticle is coated with tens to thousands of antibodies, leading to a reagent of multivalent binding properties. This multivalency can result in an increased binding degree, as demonstrated in the literature (15, 31, 36).
In pursuit of improved sensitivity, we applied the nanoparticle approach to influenza B virus antigen detection using the TPX platform. Clones B2, 2/3, IB633, 1/22, and B4 were tested as NPTs in combination with variable antibody-coated surfaces. The pair B2 (capture antibody) and 2/3 (tracer antibody) provided the best assay results. On average, the nanoparticle approach resulted in several-times-higher signal levels and signal-to-background ratios (up to 10 times) than the molecular label approach. The multivalent binding properties (avidity) of NPT seem to enhance the tracer binding degree since the optimal NPT concentration is remarkably lower (5 pM) than the optimal molecular tracer concentration (1 nM). In conclusion, the results show that the NPT can also successfully be used with the dry-chemistry approach to enhance the sensitivity of antigen detection. The use of NPT was not considered to be necessary for the influenza A virus method, since the dynamic range of the method with the molecular tracer matched well with the concentration range of the influenza A virus antigens in clinical samples.
We studied the specificity of the methods by cross-analyzing influenza A and B virus-positive samples. As shown by the data in Fig. 3 and 5, no cross-reaction was found. This result is in line with results described previously by Walls et al. (38), who studied the cross-reactivity of antibody clones A3, A1, and B2 by testing for cross-reactivity with influenza A and B viruses, parainfluenza virus types 1, 2, and 3, adenovirus, and respiratory syncytial virus. Walls et al. did not observe cross-reactivities. On the other hand, we have found that this particular antibody pair for influenza A virus also detected inactivated H5N1 virus nucleoprotein antigen (our unpublished data).
Most laboratory methods with an automated result readout (e.g., TR-FIA or ELISA) must apply separation steps (washes), which inevitably lead to multistep assay protocols and fixed incubation times. The performance of such methods is a compromise between the sensitivity and the turnaround time. In contrast to conventional laboratory methods, the TPX assay technique enables on-line monitoring of reaction kinetics (11, 15, 17). This makes the determination of a positive detection rate as a function of incubation time straightforward. With the new technique, highly positive samples can be detected reliably after a few minutes of incubation, and the positive test results are thus rapidly available for clinical diagnosis by the physician. In case the sample shows a negative result at this time point, the incubation is continued, and the reaction is measured again at a later time point. The kinetic measurement option thus allows the rapid (in 10 to 20 min) identification of moderately positive and highly positive samples, still not compromising the overall sensitivity of detection. Moreover, the new technique is characterized by an automated result readout, which allows connections to laboratory databases and networks (19, 43). In case virus subtype information is required, the test can be modified by implementing subtype-specific antibodies, or alternatively, aliquots of positive samples can be referred to a specialized laboratory for subtyping. Follow-up of negative samples by nucleic acid amplification methods can be applied if considered necessary.
In primary health care, the identification (or exclusion) of the pathogen causing respiratory symptoms (diagnosis) should preferably be done during the same patient visit. In order to make the laboratory diagnosis cost-efficient, an integrated multianalyte testing panel is needed. Such a testing panel would comprise reagents for six to nine different bacterial and viral pathogens, which would be sufficient to cover a significant proportion of respiratory infection cases. The use of such a diagnostic product in primary health care would enable the differentiation between bacterial and viral infections, enable correct treatment, and decrease the unnecessary use of antibiotics.
Neither conventional laboratory methods nor modern high-throughput random-access analyzers allow rapid and cost-effective multianalyte point-of-care testing (2, 16, 34). The detection platform presented here, in contrast, seems to fulfill the given requirements for point-of-care testing. The challenge associated with the development of the respiratory disease panel relates to specimen collection and pretreatment methods. The same specimen type may not be optimal for detecting viral and bacterial antigens. In continuation of this work, we aim to study the applicability of the TPX assay technique to the testing of respiratory infections in the above-described panel format.
Published ahead of print on 12 September 2007. ![]()
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