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Journal of Clinical Microbiology, July 2007, p. 2151-2155, Vol. 45, No. 7
0095-1137/07/$08.00+0 doi:10.1128/JCM.02308-06
Copyright © 2007, American Society for Microbiology. All Rights Reserved.

Departments of Infectious Diseases,1 Pathology,2 Biostatistics, St. Jude Children's Research Hospital, Memphis, Tennessee,3 Department of Microbiology, Diagnostic Laboratory Services, Inc., and the Queens and Kuakini Health Systems, Honolulu, Hawaii4
Received 14 November 2006/ Returned for modification 14 February 2007/ Accepted 1 May 2007
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A variety of molecular diagnostic methods, primarily based on PCR, have been developed to detect and quantify circulating EBV in an effort to predict or detect the onset of EBV-associated disorders and to assess the efficacy of therapeutic intervention (2, 7, 19, 21-23). Over the past few years, such methods have undergone significant improvement (11). In particular, the introduction of real-time amplification and detection methods has reduced the risk of carry-over contamination, shortened the time needed for the postamplification analysis, improved ease of use, and improved quantitative test performance (9, 18, 25). In addition, numerous studies have begun to define the role for such assays in relation to clinical care and predictive value (1, 2, 14, 16, 19, 22, 28). Critical to the accuracy of these methods is the detection of inefficiencies in the specimen preparation or amplification processes. Several authors have addressed this point, using both endogenously and exogenously added internal controls, in an effort to monitor for suboptimal test performance. Some have advocated the normalization of viral load results to a coamplified housekeeping gene as the best means of meeting these goals (9, 25).
Sample type selection often impacts test performance characteristics, including clinical predictive value. Several peripheral blood compartments have been used to measure EBV viral load, including whole blood (WB) (1, 23), serum (3, 4, 13, 14), plasma (15, 18, 32), peripheral blood leukocytes, and mononuclear cells (10, 16, 19, 21, 22). Likewise, reporting units for EBV DNA viral loads have variously included copies/ml, copies/µg DNA, and copies/105 cells. Ongoing uncertainty related to the optimal sample type and reporting format for quantitative EBV detection has contributed to the absence of standardized test guidelines and has complicated the effort to define EBV treatment threshold values. The goal of the present study is to directly compare EBV DNA viral loads for matched specimens from WB, peripheral blood mononuclear cells (PBMC), and plasma obtained from a population of pediatric hematopoietic stem cell transplant recipients tested by quantitative real-time PCR (QRT-PCR).
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DNA extracts from 249 paired WB and PBMC samples, 167 paired plasma and WB samples, and 167 paired plasma and PBMC samples were deidentified and tested blindly in duplicate. Either EDTA-treated blood (WB and plasma samples) or sodium citrated blood (PBMC samples) was used for study. All paired samples were collected concurrently (single blood draw), and 200 µl each of WB and plasma samples was used for DNA extraction. PBMC pellets were prepared by centrifuging 4 ml of WB in cell preparation tubes (Becton Dickinson, Franklin Lakes, NJ) for 20 min at 1,800 relative centrifugal force; PBMC pellets were resuspended in 700 µl of phosphate-buffered saline. Two hundred microliters each of the WB, plasma, and PBMC pellet samples was used for DNA extraction using a QIAamp blood mini kit (QIAGEN Inc., Valencia, CA), with final elution in 200 µl 10% AE buffer. Extracts were frozen at 70°C until use. Eight microliters of eluate was used for each PCR, a portion which corresponded to 0.008 ml of the original sample for WB and plasma and 0.032 ml of the original sample for PBMC. Viral control samples were similarly extracted with the QIAamp blood mini kit and serially diluted prior to QRT-PCR.
Determination of EBV DNA load. (i) QRT-PCR. The PCR standard curve used a 90-bp PCR product from the EBV BALF5 gene, which was cloned into a pCR 2.1-TOPO vector (Invitrogen, Carlsbad, CA) and transformed into One Shot Top10 competent Escherichia coli cells. Colonies were screened by sequencing to confirm the correct insert. Plasmid DNA from the confirmed colony was isolated using a QIAprep spin miniprep kit (QIAGEN Inc., Valencia, CA), and the PCR products for the standard curve were quantified spectrophotometrically. Raji (American Type Culture Collection [ATCC] CCL-86) and Namalwa (ATCC CRL-1432) cell lines were used as EBV-positive controls. HL60 cells were used as EBV-negative controls. The acceptable range for the EBV-positive control Namalwa cell line was within a range width of 0.39 viral copies/cell, while that for the Raji cell line was within 2.43 copies/cell. The results from these positive controls fell within these ranges in all the assay runs.
QRT-PCR was performed in a manner similar to that described by Kimura et al. (11). Briefly, a multiplexed PCR targeted a 90-bp region of the BALF5 gene coamplified with the human housekeeping gene RNase P. The assay consisted of a primer set and a dual-labeled (5' 6-carboxyfluorescein/3' Black Hole Quencher -1) TaqMan probe specific to EBV. An 8-µl aliquot of patient DNA extract was used in a final reaction volume of 50 µl. RT-PCR consisted of 50 cycles and was performed using an ABI PRISM 7900HT sequence detection system (Applied Biosystems, Foster City, CA). The reaction was run under the following cycling conditions: a temperature of 50°C for 2 min, followed by 95°C for 10 min, 95°C for 15 s, and then 60°C for 1 min. These conditions were repeated for 50 cycles. Results were expressed in copies/ml and copies/µg of total DNA.
(ii) PCR calibration curves and calculation of viral loads.
A regressive standard curve was generated using plasmid DNA, as described above, serially diluted in 10-fold increments from 2 x 106 copies to 2 copies/5 µl. Cycle threshold values from clinical WB, PBMC, and plasma extracts were plotted on this curve to determine copies of EBV genome/reaction (copies/rxn). Copies/ml of sample were then calculated according to the following equations:
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Based on dilution factors introduced during DNA extraction and amplification, the lower limit of detection for the assay was 125 viral copies/ml in WB and plasma and 31.25 copies/ml in PBMC. Results of PCR from cellular samples (WB and PBMC) were normalized to the quantity of input genomic DNA. The human RNase P gene (a single-copy housekeeping gene) was coamplified with EBV by use of a TaqMan RNase P control reagent kit (Applied Biosystems, Foster City, CA). Human genomic DNA RNase P (Promega, Madison, WI) was serially diluted from 6 x 105 pg to 6 pg DNA per PCR. Following amplification and generation of a regression curve, RNase P was quantified in a manner similar to that described above for the primary amplification target. Quantification of the RNase P gene was then used to calculate EBV copies per microgram of input DNA as follows:
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Statistical analysis.
Only one sample per patient was included in the comparative analysis in order to minimize potential bias. In those patients with multiple positive samples, a single sample was randomly chosen for the analysis using a computer program by which each sample has the same chance to be chosen. This resulted in 122 sample pairs for WB and PBMC, 79 pairs for WB and plasma, and 79 pairs for PBMC and plasma samples. McNemar's test was used to examine the sensitivity and concordance of EBV viral load levels among any two of the three blood sources, i.e., WB, PBMC, and plasma. A threshold of "zero" was chosen for positive virus detection for the qualitative comparison. In an effort to better understand the relationship between the levels of virus detected among the two sample types that were positive for EBV, regression analysis was performed after transforming to log10 (load plus 1) using ordinary least squares. Only results of
125 copies/ml in WB and plasma samples and 31.25 copies/ml in PBMC were included for analysis. For patients with three or more positive samples, trendings of quantitative values over time were also compared among the different sample types.
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125 to 237.5 copies/ml, while EBV loads in the 11 positive PBMC samples were all
31.25 copies/ml (lower limit of detection). McNemar's test showed no significant difference in test sensitivities between WB and PBMC samples (P = 0.33). |
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TABLE 1. Comparison of EBV detection using PCR in clinical samples
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125 to 2,280 copies/ml. The one viral load that was positive in plasma but negative in WB samples showed <125 copies/ml. The use of plasma resulted in significantly reduced sensitivity compared to WB in detecting EBV viral load (P < 0.0001).
Analysis of the 79 available pairs of PBMC and plasma showed concordant EBV-positive results in 54 out of 79 (12.7%) pairs. Twenty-five of 79 (31.6%) PBMC samples were positive for EBV viral copies, while their matched plasma samples were negative. None of the negative PBMC samples had EBV viral copies detected in matched plasma samples (Table 1). The 25 positive PBMC samples with paired negative plasma samples had viral loads ranging from
31.25 to 3,228.13 copies/ml that were missed in plasma. Using plasma for EBV detection resulted in reduced sensitivity compared to that obtained with PBMC (P < 0.0001).
Correlation of viral loads in different sample types. In the quantitative analysis, only four plasma samples had EBV loads greater than the threshold of 125 copies/ml. Therefore, regression analysis was applied only to viral load results of paired WB and PBMC samples which were above the threshold. The correlation was significant (P < 0.05) with an R2 of 0.87, a y intercept approximating zero (0.27; 95% confidence interval [95% CI], 0.98, 0.44), and slope close to 1 (1.06; 95% CI, 0.87, 1.26) (Fig. 1).
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FIG. 1. Comparison between EBV viral loads in WB and PBMC expressed in log10.
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TABLE 2. EBV loads in the four positive plasma samples with corresponding WB and PBMC results
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FIG. 2. Comparison of the two reporting formats in WB and PBMC, with all viral loads expressed in log10. (a) Comparison between EBV viral loads of copies/µg and copies/ml for WB. (b) Comparison between EBV viral loads of copies/µg and copies/ml for PBMC.
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FIG. 3. Comparative trends of EBV viral loads in different sample types from two individual patients (a and b). Solid line, WB; dotted line, PBMC.
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FIG. 4. Comparative trends of EBV viral loads in WB from a patient by use of two different reporting units. Solid line, copies/ml; dotted line, copies/µg DNA.
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FIG. 5. Comparative trends of EBV viral loads in PBMC from a patient by use of two different reporting units. Solid line, copies/ml; dotted line, copies/µg DNA.
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Previous studies have demonstrated increased sensitivity for EBV detection with the use of cellular compartments compared to serum or plasma. PBMC has been shown to have advantages in this respect, and many investigators have used circulating lymphocytes as the specimen of choice (9, 10, 11, 19, 20, 22). Fewer investigators have examined the use of WB. Among those studies, results appear largely consistent with the data presented here (24, 25, 27). Stevens et al. (24, 25) demonstrated improved sensitivity of WB compared to serum and plasma using quantitative competitive EBV PCR, with acellular samples yielding negative results despite high viral loads in corresponding WB samples (25). Similarly, in a semiquantitative comparative study, Wadowsky and colleagues (27) showed a strong correlation of EBV DNA load values in WB (TaqMan PCR) and peripheral blood lymphocytes (competitive PCR), while correlation was poor between plasma and peripheral blood lymphocyte viral loads. In contrast, Wagner et al. (29) showed a DNA amplification efficiency and sensitivity lower for WB than for PBMC or B-cell samples. Although results were different from those described above, the latter study included blood from only a limited number of healthy subjects (11 subjects). The relative disadvantage exhibited using WB in that study was felt to be due largely to the presence of inhibitors, an issue not encountered in our series, possibly as a result of different specimen preparation methodologies. None of the above-described series compared WB, PBMC, and plasma using a single real-time quantitative method, and most included very limited numbers of patients and did not address additional issues related to sample reporting format. Some of the previous studies (23-25, 30, 31) included both pediatric and adult age groups, while the present study was limited to samples from pediatric patients.
The relative benefits of various reporting formats for EBV viral load assays are not clear from the literature. Some investigators have used copies per unit volume (25, 27, 31), and others (9, 11, 29-31) have reported in copies/µg of genomic DNA (when testing cellular compartments, such as WB or PBMC). The present study showed a close correlation between results reported as copies/µg DNA and copies/ml, similar to the findings of Wadowsky et al. (27) in a semiquantitative comparison. Normalizing viral load results to micrograms of input DNA (9) or to the number of cells present requires additional processing steps, increased expense, and increased volume of blood. The findings here suggest that little value is gained in this process. Dynamic trends of viral load within individual patients tracked very closely irrespective of the reporting units used. This study was limited in scope and design to a comparison of analytical findings using various specimen types and reporting formats. Further work will be needed to correlate these findings with clinical patient status and the presence or progression of lymphoproliferative diseases. Additional studies should also address the application of findings to the adult patient population.
The use of WB appears to offer potential advantages as the specimen of choice for QRT-PCR detection of EBV. Compared with PBMC, WB requires less blood volume and fewer processing steps. In addition, WB shows a significantly improved sensitivity and linear dynamic range compared to plasma. The findings in this study may help address the lack of standardization commonly encountered among quantitative molecular diagnostic assays. Further work will be needed to confirm these findings for other patient populations and using other methods. Other studies will also be needed to clarify the implications of these results for the prediction of clinical disease and therapeutic response in both the transplant and nontransplant populations in the context of their respective EBV-related disorders.
The generous support of this work by Phill and Liz Gross is also deeply appreciated. Statistical support and advice provided by S. Pounds is greatly appreciated.
Published ahead of print on 9 May 2007. ![]()
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