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Journal of Clinical Microbiology, May 2005, p. 2356-2362, Vol. 43, No. 5
0095-1137/05/$08.00+0 doi:10.1128/JCM.43.5.2356-2362.2005
Copyright © 2005, American Society for Microbiology. All Rights Reserved.
David L. Webb,1,
Shauna A. Torrance,6
Chadi El Saleeby,1,3,5
Lisa M. Harrison,1,3,4
Jody A. Aitken,1,3,4
Anami Patel,1,3,4 and
John P. DeVincenzo1,2,3,4*
University of Tennessee School of Medicine,1 Graduate School of Health Sciences,2 LeBonheur Children's Medical Center,3 The Children's Foundation Research Center,4 St. Jude Children's Research Hospital,5 Rhodes College, Memphis, Tennessee6
Received 27 September 2004/ Returned for modification 22 November 2004/ Accepted 7 January 2005
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Currently, our understanding of the pathogenesis of RSV in humans is incomplete. Relating viral load and viral dynamics to disease severity will expand our understanding of RSV pathogenesis. Studying RSV pathogenesis and evaluating potential vaccine and antiviral treatment strategies for humans requires quantitative tests for RSV. At present, the quantity of RSV obtained from clinical samples in such studies has been measured by quantitative culture using plaque assays. However, this method is time consuming and difficult to perform and has numerous inherent limitations regarding the assay's ability to accurately and reliably quantify viral concentrations in patient samples. When compared to the specific limitations of quantification by culture, real-time quantitative reverse transcriptase PCR (RTrtPCR) offers several theoretic advantages, including the following: (i) a lower threshold of detection, (ii) the potential stability of the assay after specimen freezing and thawing, thus permitting sample batching, (iii) a less subjective assay readout, and (iv) an assay that is unaffected by therapeutic passive neutralizing antibodies or experimental antiviral agents. These potential advantages would facilitate multicenter studies of pathogenesis and therapeutic trials. We therefore sought to develop several quantitative RTrtPCR assays for RSV, to validate these assays in vitro and in vivo, and to compare these assay results with those of fresh plaque assays in studies of infants naturally infected with RSV.
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Quantitative RSV culture. A HEp-2 cell plaque assay in 12-well plates with 10-fold dilutions in triplicate was used in which plates were overlaid with methylcellulose/media and fixed and stained at 5 days with hematoxylin and eosin. Plaque assays were performed on fresh specimen within 3 h of specimen collection. HEp-2 cells used in all plaque assays were maintained at low passage number (<18). RSV quantitative standards (RSV-A, Long strain ATCC VR-26) were run in parallel with each plaque assay to assure quantitative precision (5).
RSV standards. Separate RSV quantitative standards were prepared for RSV-A (Long strain ATCC VR-26) and RSV-B (ATCC VR-955) in the following manner. HEp-2 cell monolayers at 80% confluency were inoculated with the above laboratory RSV strains (multiplicity of infection, approximately 10) and incubated in 5% CO2 at 37°C for approximately 60 h until optimal cytopathic effect was observed. The flasks were then scraped, and the cells and supernatant were gently vortexed and centrifuged. The supernatant was then added to equal volumes of 50% sucrose for stabilization. Individual aliquots were frozen on dry ice and stored at 80°C until use. Individual RSV-A aliquots made in this way were used both as parallel standards for the plaque assay and as the quantitative standards from which the viral RNA was extracted for use in the RTrtPCR assays of RSV-A. RSV-B standards were made in this same manner and were used, after RNA extraction, as the standards for the RSV-B RTrtPCR assays.
PCR analysis.
RNA extraction and reverse transcription. Viral RNA was extracted from the RSV culture standards described above using silicon-based spin columns (QIAmp viral RNA Minikit) (QIAGEN, Valencia, CA) according to the manufacturer's instructions and was incubated with an RNase-free DNase. Immediately following extraction, cDNA was constructed through a single reverse-transcription reaction (1 h at 37°C followed by reverse transcriptase inactivation at 95°C for 5 min) using the Omniscript reverse transcription kit (QIAGEN, Valencia, CA) and custom primers (Table 1). The resultant cDNA was placed on ice and then directly utilized as standards in the real-time PCR assay. Viral RNA was isolated from patient samples using this same procedure.
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TABLE 1. Design of nucleic acid reagents used for real-time reverse transcriptase PCR
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PCR. Real-time PCR was performed in a 96-well format using the ABI Prism 7900HT sequence detection system (Applied Biosystems International, Foster City, CA). The PCR mixture contained the following: 2.25 µl of forward and reverse primers (10 µM), 2.5 µl probe (2.5 µM), 12.5 µl 2x TaqMan universal PCR master mix, 5.0 µl template cDNA, and 0.5 µl of RNase-free water. Reaction mixtures of 25 µl were analyzed in duplicate. Each PCR had a negative control in which water was substituted for cDNA. The PCR employed the following thermal cycler settings: 2 min at 50°C and 10 min at 95°C, followed by 40 cycles of 15 s at 95°C and 1 min at 60°C. Six 10-fold dilutions of cDNA, in duplicate, from RNA extracted from single-use, single freeze/thaw aliquots of the RSV standards were used for quantitative standards for all clinical specimens. Since the concentration of RSV in these aliquots was known (7.2 log PFU/ml), the standards contained concentrations of cDNA in the units of PFU equivalents/ml (log PFUe/ml). Selected clinical specimens were also run in the PCR with quantitative standards of cloned target DNA.
Quantitative RSV cloning. Target cDNA amplified via RT-PCR from RSV-A (ATCC VR-26) and RSV-B (ATCC VR-955) was cloned into the pCR4-TOPO vector and transformed into the TOPO-10 bacterial strain using the TOPO TA cloning kit (Invitrogen, Karlsruhe, Germany). The obtained clones were evaluated by PCR and sequenced. Quantification of the plasmid preparations was determined spectrophotometrically in quadruplicate. Aliquots of this quantitative plasmid preparation were used as standards for the RTrtPCR assay.
Determination of RSV subgroup. The RSV subgroup was determined by RTrtPCR. After amplification, if at least one of the duplicate cycle threshold (CT) values for the specimen was greater than 30 cycles, a duplicate sample aliquot was then run using both the repeated assay and the alternative subgroup assay. Confirmation of the subgroup was determined by the assay producing the greatest amplification. No specimen producing a CT value less than 30 cycles produced significant amplification when run in the alternative subgroup-specific PCR assay (data not shown). For 134 specimens, alternative subgroup-specific standard PCR (Hexaplex Prodesse Inc., Waukesha, WI) was also used to confirm RSV subgroup. This assay resulted in 93.3% concordance with the final subgroup as determined by RTrtPCR. The subgroup was also confirmed for 61 specimens by direct fluorescent-antibody staining of isolates cultured in HEp-2 cells. The staining used the following monoclonal antibodies: MAB8581 and MAB8582 (F protein 1b and F protein 1c) (Chemicon, Temecula, CA). This direct fluorescent-antibody assay resulted in 93.4% concordance with the final RTrtPCR-determined subgroup.
Electron microscopic quantification. Individual aliquots of RSV-A and -B culture standards, as described above, were used for viral particle quantification by electron microscopy (Advanced Biotechnologies Inc., Columbia, MD). RSV standards were mixed with 112-nm latex spheres of known concentration, fixed with buffered glutaraldehyde, washed with ultra-pure water, and stained with phosphotungstic acid. Virus particle concentrations were determined by counting the ratio of viral particles to latex spheres in random microscopic fields.
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To determine whether RTrtPCR could reliably measure RSV quantity in human respiratory secretions, known concentrations of RSV-A Long was spiked into aliquots of nasal wash fluid obtained from an uninfected volunteer which had been collected in the same manner as the collection of the clinical specimens in the study. Spiked nasal washings correlated well with predicted concentrations (r2 = 0.96) (Fig. 1A). To determine whether different wild-type isolates of RSV could be quantified reliably by RTrtPCR, viral isolates were obtained from infants infected with RSV. These individual isolates (passage 1) were used to infect individual flasks of HEp-2 cells. Supernatants of infected flasks were tested by fresh plaque assay, and aliquots were frozen. Thawed aliquots were tested in duplicate by RTrtPCR. Quantitative culture correlated well with RTrtPCR results (r2 = 0.866; n = 22) (Fig. 1B).
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FIG. 1. Preclinical evaluation of RSV RTrtPCR. All P values test whether the slope is significantly nonzero. All testing was performed in duplicate. Dotted lines represent the 95% confidence for the slopes. Error bars represent SEM of duplicated PCR results. Panel A: ability of RTrtPCR to predict RSV concentrations in spiked respiratory secretions. Nasal wash secretions from an uninfected person were spiked with known concentrations of cultured RSV. Concentrations of RSV as determined by PCR were compared with the calculated concentrations. Panel B: correlation of viral concentrations in culture supernatants of 22 separate RSV clinical isolates using plaque assay versus RTrtPCR. Individual points represent duplicate wells. Error bars for each point represent SEM and, on many points, are too small to be seen on the figure.
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TABLE 2. Comparison of quantitative RSV detection methods
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FIG. 2. Evaluations of RSV RTrtPCR in respiratory secretions of naturally infected infants. All P values test whether the slope is significantly nonzero. All testing was performed in duplicate. Error bars represent SEM of duplicated PCR results. Dotted lines represent the 95% confidence for the slopes. Panel A: correlation of duplicate PCR testing showing precision of the assay. Panel B: correlation of RTrtPCR versus plaque assay. The nasal wash secretions collected upon study enrollment were evaluated by fresh plaque assay and from frozen aliquots by PCR. The slope of the line of correlation is 0.24. When log PFU values of 0 and 6.78 are removed from the analysis (n = 204), the r2 value is 0.1584, the Y intercept is 3.564, and the slope is 0.4628 (P < 0.0001). Panel C: correlation between upper and lower respiratory tract RSV concentrations. Upper respiratory secretions were nasal washes, and lower respiratory secretions were deep tracheal aspirates collected upon study enrollment. Points represent upper and lower respiratory RSV loads obtained on the same patient at the same time.
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In clinical specimens, the quantity of RSV-A was compared to that of RSV-B. The mean viral loads in first-collected nasal washes were compared. RSV-A loads were significantly higher than RSV-B loads (6.12 versus 4.95 log PFUe/ml; P < 0.0001) (Fig. 3A). The RSV-A RTrtPCR assay uses different primers and probes than the RSV-B assay. To assess whether the observed difference in RSV load between subgroups was due to quantitative efficiency differences in the assays themselves, viral loads were compared by subgroup using the plaque assay results. Plaque assays confirmed that mean RSV-A loads were higher than RSV-B loads (4.90 versus. 4.21 log PFU/ml; P = 0.002) (Fig. 3B).
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FIG. 3. RSV subgroup differences in nasal wash viral loads. Nasal washes collected from subjects upon enrollment were analyzed according to RSV subgroup. Panel A: quantification by RTrtPCR showing RSV loads significantly higher in subjects infected with RSV-A than in those infected with RSV-B. The mean viral loads were 6.12 ± SEM 0.112 log PFUe/ml for RSV-A and 4.95 ± 0.101 log PFUe/ml for RSV-B. The difference between the means was 1.17 log PFUe/ml (95% CI: 0.817 to 1.516; P < 0.0001). Panel B: quantification by plaque assay showing RSV loads also significantly higher in subjects infected with RSV-A than in those infected with RSV-B. Some of the data in panel B have been reported previously (6). The mean viral loads were 4.90 ± SEM 0.118 log PFU/ml for RSV-A and 4.21 ± 0.201 log PFU/ml for RSV-B. The difference between the means was 0.69 log PFU/ml (95% CI: 0.258 to 1.123; P = 0.0020).
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FIG. 4. Individual and mean RSV loads over time as measured by RTrtPCR. Nasal washes collected from subjects over multiple time points were analyzed. Panel A: individual subjects' RSV loads are plotted as separate single lines. Smooth viral loads are measurable in individual infected children. Panel B: mean viral loads are plotted over time. Error bars represent SEM. As time increases, subjects are dropped from the study as they are discharged and therefore not available for further sample acquisition. The mean viral load declines by 0.39 log PFUe/ml/day over the first 2 days. Small numbers cause large scatter after this third-day time point.
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In this paper, we have again found that the quantity of virus in the upper respiratory tract (nasal secretions) is nearly equivalent to that found in the lower respiratory tract. We have previously reported this finding using quantitative culture (4, 12). This tight correlation between upper and lower respiratory tract viral loads has been observed and tested rigorously only with groups of infants whose age predicts primary RSV infection, whose measurements have occurred while the RSV disease is severe enough to require mechanical ventilation, and while the viral load is already dropping. It is possible that viral loads in the nose rise first, followed later by increasing concentrations within the lower respiratory tract. There may also be a disconnect between upper and lower respiratory tract viral loads in children or adults experiencing mild disease or their second or third RSV infection. Indeed, much higher viral loads are seen in the lungs of immunocompromised adults than in the nose (8). Likewise, different antiviral or immunologic interventions may have a different effect on either one of these replication compartments.
Our results reported here show significant differences between viral loads of RSV-A and RSV-B, differences which we observed using both RTrtPCR and quantitative culture methodologies. A single other report of RSV subgroup quantification in natural human infection has been published (6). Using quantitative culture, this smaller, previous study failed to show a significant difference between RSV subgroups. However, a trend towards higher RSV-A viral loads was observed (4.77 versus 4.68 log PFU/ml; n = 102), which can be compared to the quantitative culture results we report here (4.899 versus 4.209 log PFU/ml; P = 0.002; n = 259). The RTrtPCR results are likely a better measurement of quantitative differences between subgroups, since numerous RSV loads were higher than the maximum measurable by our plaque assay and these values were clustered in the RSV-A subgroup. Although this finding is not universally confirmed (2), RSV-A subgroup infections have been shown in several studies to produce more-severe disease than RSV-B (10, 13, 14, 16). RSV load differences may help explain these severity differences, since we have previously shown that increased RSV load correlates with greater disease severity (3, 7).
There are numerous potential advantages of RTrtPCR quantification over quantitative RSV culture. These advantages might be particularly pronounced in clinical trials. We have shown that there is little freeze-thaw effect on the results of RTrtPCR. This is in contrast to a significant and somewhat unpredictable freeze-thaw-induced reduction of quantitative culture results. Thus, specimens can be frozen, batched, and transported from different sites to a central research laboratory for quantification using RTrtPCR. The RTrtPCR assay appears more sensitive than quantification by culture. Significant cost savings can also be achieved over fresh quantitative culture. Another advantage is avoidance of the potential phenomenon of viral neutralization or inactivation by antiviral products being delivered to the respiratory tract. Antiviral products within the respiratory secretions themselves can inhibit viral growth in culture, thus potentially reducing the RSV quantity measured more than the actual reduction in the subject. Quantitative PCR would avoid this problem. When using RTrtPCR for RSV clinical trials, one must note that the natural rate of decline in viral load is less steep than when using quantitative culture. This rate of decline in viral load measured by RTrtPCR may also depend upon the timing of administration of an antiviral agent, the elimination kinetics of viral nucleic acid in respiratory secretions, and the specific molecular target of the antiviral within the viral replication cycle.
In conclusion, RSV-A and -B quantification by real-time reverse transcriptase PCR of the N gene is highly reproducible, has a broad range of detection, and correlates well with fresh plaque assay with cultured patient isolates. This correlation is less robust for the secretions of naturally infected children. Likewise, measured viral elimination kinetics are different when measured by this technique. There are clear advantages of using this technique of RSV quantification in clinical trials, but the utility of quantitative PCR as a tool in RSV clinical research would be strengthened by an established correlation of PCR viral load with disease severity.
DeVincenzo acknowledges the mentorship of Malak Kotb and Elaine Tuomanen. We greatly appreciate the indispensable efforts and cooperation of the research subjects' parents and care givers.
First authors and contributed equally to the work. ![]()
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