Skip to main content

Automated quantification of Epstein-Barr virus in whole blood for post-transplant lymphoproliferative disorders monitoring

Abstract

Background

Standardized and sensitive assays for Epstein Barr Virus (EBV) are needed to define universal cutoff for treatment initiation in allogeneic hematopoietic stem cells transplant recipients. In a context of accreditation and the availability of EBV international standard, we evaluated the Abbott RealTime EBV (RT) assay for EBV quantification in whole blood.

Methods

The RT assay was compared on 282 prospective clinical samples with the Artus EBV PCR Kit V1 assay (V1) and we analyzed the kinetics of EBV load in 11 patients receiving rituximab treatment.

Results

The estimated limit of detection was 88 IU/mL. The assay was linear (r2 = 0.9974) in the range of all samples tested (100 to 1,000,000 IU/mL). Intra-assay coefficients of variation (CV) ranged between 0.35 and 1.35%, and inter-assay CV between 3.40 and 4.5%. On samples above the limit of quantification, the two assays were strongly correlated. EBV RT values were on average 0.30 log10 IU/mL lower than those measured with the V1 assay. In patients treated with rituximab, the RT assay remained positive in 5 patients at the time it dropped below undetectable levels with the V1 assay.

Conclusions

In conclusion, the RT assay is a reliable assay for EBV load in whole blood. Its sensitivity will enable to estimate the kinetics of EBV load and the impact of treatments to control EBV reactivations.

Background

Epstein Barr Virus (EBV) is a member of the Herpesviridae family. It is estimated that this ubiquitous virus infects more than 90% of the world’s population [1]. After infection, EBV establishes a life-long persistent and latent infection in B lymphocytes. EBV is the causative agent of infectious mononucleosis and is associated with different hematological and epithelial malignancies [2, 3]. In immunocompromised patients, especially allogeneic hematopoietic stem cell (HSCT) or solid-organ transplant recipients, EBV is associated with post-transplant lymphoproliferative disorders (PTLD) [4, 5].

Quantification of EBV DNA load in blood is used to identify patients at risk of PTLD [6,7,8] and EBV DNA levels are considered to start preemptive therapies, including lowering immunosuppressants and administering anti-CD20 monoclonal antibodies, such as rituximab. As EBV DNA load in blood is taken into account for preemptive strategies, accurate and reliable quantification is necessary for the management of patients after transplant [9,10,11,12,13]. However, no universal quantitative cutoff of EBV DNA load to start preemptive treatment has been defined yet. Furthermore, only few studies describe the dynamics of EBV DNA load after rituximab injection [14] .

Results of measurements of EBV DNA loads performed with commercially available assays might differ significantly, particularly according to the extraction method used, which is a source of variability with whole blood (WB) [15]. Several studies have reported significant inter-laboratory variation in EBV DNA quantification both in whole blood and plasma samples [16,17,18].

The determination of a consensual quantitative threshold requires standardization between techniques. In this context, there is a trend for the use of tests approved by regulation authorities, in particular IVD/CE labeled in Europe or FDA approved commercial assays in the USA, and automated techniques [15,16,17,18,19,20,21].

Furthermore, since 2010, French national regulations of clinical laboratories require that all the biological assays must be accredited according to the International Standard ISO 15189 [22]. In order to harmonize results and overcome the variability between laboratories, the World Health Organization (WHO) Expert Committee on Biological Standardization established recently the first international standard (IS) for EBV for nucleic acid amplification techniques [23]. Reporting EBV DNA quantification in international unit (IU) is now recommended and industrials develop their assays according to this international standard.

In this study, we performed an evaluation of the IVD/CE labeled Real-time EBV assay Abbott which includes a fully automated extraction and amplification of EBV DNA from whole blood on the m2000 Real-time systems according to the ISO 15189 recommendations. Clinical samples were tested and the results compared to those obtained with the Artus EBV kit V1 on the m2000 RealTime system [20] that Abbott commercialized before the development of their own assay. We also report the kinetics of EBV load in HSCT patients receiving rituximab therapy.

Materials and methods

Standard and clinical samples

Ethical considerations

The study was carried out in accordance with the Declaration of Helsinki. This study was a non-interventional study with no addition sampling to usual procedures. Biological material and clinical data were obtained only for standard viral diagnostic following physicians’ prescriptions (no specific sampling, no modification of the sampling protocol). Data analyses were carried out using an anonymized database. According to the French Health Public Law (CSP Art L 1121–1.1), such protocol was exempted from informed consent application.

Clinical samples

Leftover EDTA K2 tube (BD Vacutainer®) samples sent to the Virology unit of Saint Louis Hospital for EBV monitoring were used in this study. A total of 282 whole blood (WB) specimens received in the laboratory for EBV load quantification were collected from 196 patients including 95 hematopoietic stem cell transplant recipients, 22 kidney transplant recipients, 29 patients with immunological or heamatological diseases, 27 patients from general medicine, 10 HIV infected patients, 9 patients from intensive care unit and 4 patients hospitalized in infectious disease department. The clinical samples were selected prospectively and retrospectively from aliquots frozen at − 80 °C. All clinical consecutive whole blood samples received for EBV quantification within 7 days (124) were tested with the two assays. In order to obtain sufficient positive samples to enable a correlation analysis of EBV loads between the two assays, additional positive whole blood samples were selected retrospectively within 8 months. The samples were tested in separate runs both with the Abbott RealTime EBV assay (RT assay) and EBV PCR Kit V1 assay (V1 assay). Furthermore, 75 additional frozen samples at − 80 °C of 11 HSCT recipients were tested in order to analyze EBV DNA kinetics after rituximab injection in the two quantitative real time PCR assays.

AcroMetrix™ EBV controls high and low

Thermo Scientific™ AcroMetrix™ EBV low positive-control (catalog number 961230, lot 513,101) and high-positive-control (catalog number 961231, lot 417,503) were used for analytical evaluation of RT assay. The manufacturer’s instructions mentioned that expected results when using the AcroMetrix™ EBV Low and High controls must be established by the end user for their particular EBV DNA assay.

QCMD

The Quality Control for Molecular Diagnosis (QCMD) 2016 EBV WB challenge 1 and 2 and 2017 EBV WB challenge 1 and 2 proficiency panels were composed of 5 frozen WB samples. Expected values correspond to mean consensus (log10 IU/mL) calculated from data returned by participants from different laboratories after removing outliers.

WHO international standard

The first WHO international standard for EBV for nucleic acid amplification techniques (National Institute for Biological Standards and Control NIBSC code 09/260; Potters Bar, Hertfordshire, Great Britain) is a lyophilized whole virus preparation of the EBV B95–8 strain (type 1). The material has been assigned a concentration of 5 × 106 IU/mL when reconstituted in 1 mL of nuclease-free water.

Quantitative real time PCR assays

The quantification of EBV in WB was carried out on the Abbott m2000 platform for the two assays. This platform includes the m2000 sp. instrument for automated extraction of DNA and the m2000 rt. instrument for real-time PCR of series of 48 samples.

Abbott RealTime EBV assay (RT assay)

The amplification target is a highly conserved region of the BLLF1 gene which encodes the gp350/220 envelope glycoprotein. The Abbott RealTime EBV assay (Abbott Molecular Inc., Des Plaines, IL, USA) uses three reagent kits, the amplification reagent kit, the calibrator kit for the standard curve and the control kit for external control. An internal control is also supplied to check the overall internal process, including DNA extraction and possible PCR inhibition. Extraction of DNA was done on the m2000sp system. DNA extraction was performed from 300 μL of WB and eluted in 250 μL. Extraction was followed by automated addition of 25 μL of master mix and 35 μL of purified DNA into the PCR plate. In each run, one negative control and two positive controls (Low and High) were included. Two calibrators (A and B) were used to determine the standard curve. The results are expressed in IU/mL. Manufacturer lower limit of quantification (LLQ) is reported as 150 IU/mL and limit of detection (LOD) as 115 IU/mL.

Artus EBV PCR kit V1 assay (V1 assay)

EBV DNA quantification with the Artus EBV PCR Kit V1 assay (Qiagen, MD, USA, previously commercialized by Abbott Molecular) was also performed on the m2000 platform in batches of 48 tests. The PCR amplification reagent targets a conserved region within the gene coding for Epstein Barr virus Nuclear Antigen (EBNA1). The EBV PCR Kit V1 includes an internal control to check the overall process including DNA extraction and possible PCR inhibition. Automated DNA extraction and PCR reaction set up were performed on the Abbott m2000sp instrument. Briefly, DNA was purified from 300 μL of WB and eluted in 250 μL. The EBV quantification was performed with 20 μL of purified DNA. Sealed PCR plates were loaded on the Abbott m2000rt instrument for real-time PCR. Four calibrators (QS1, QS2, QS3 and QS4) were used to establish a calibration curve. Every run included one low calibrator (QS3). The results were expressed in copies/mL. For comparison with the RT assay, conversion factor previously calculated [20] was used to obtain IU/mL. The LLQ of the assay was 1000 copies/mL corresponding to 310 IU/mL.

Quantitative real time PCR assays interpretation

For both assays, the results were classified as follows: target not detected, target detected but not quantifiable (< LLQ) and target detected and quantifiable (>LLQ and in the range of linearity).

Analytical performances of the Abbott RealTime EBV assay

All dilutions were performed in EBV negative whole blood.

Limit of detection

The LOD was estimated by using serial dilutions of the WHO international standard at expected value of 500, 100 and 20 IU/mL. Each dilution was tested 10 times. The LOD is defined as the EBV DNA concentration detected with a probability of 95% or more.

Assay linearity

The assay linearity was verified with dilutions of a highly EBV DNA positive sample in EBV negative WB at expected value of 1,000,000, 100,000, 10,000, 1000 and 100 IU/mL. Each dilution was quantified with the RT assay 3 times and the mean EBV concentration of each sample was calculated.

Repeatability

The repeatability was determined with the AcroMetrix™ EBV Plasma Control High (4.76 log10 IU/mL) and two EBV DNA positive WB clinical samples (7.20 log10 IU/mL - “Blood High”- and 4.09 log10 IU/mL - “Blood Low” quantified with Abbott RealTime EBV assay). Ten replicates of each sample were tested in the same run. For each sample, intra assay coefficient of variation (CV) was estimated.

Reproducibility

The reproducibility was determined with the AcroMetrix™ EBV Plasma Control High and Low. Sixteen replicates of AcroMetrix High and Low were tested on a period of 16 days by four different operators. For each sample, inter assay CV was estimated.

Cross-contamination

A panel of 30 samples consisting of alternate phosphate buffered saline as negative samples and High-load EBV DNA WB (mean = 4.29 log10 IU/mL) were assayed on the three m2000 platforms.

Statistical analysis

Concordance on qualitative results between the RT assay and the V1 assay was established by Cohen’s kappa statistic. The evaluation of quantitative correlation between the two assays included results positive in both and was estimated by using linear regression analysis and Bland-Altman plots. Statistical analysis was performed using GraphPad Prism6 software [24]. Differences were considered statistically significant at p-values below 0.05.

Results

Analytical performances of the Abbott RealTime EBV assay

The LOD was estimated by using 10 replicates for the three concentrations (500, 100 and 20 IU/mL) as shown in Table 1. The RT assay detected all replicates at 100 IU/mL. Probit analysis of the data predicted a LOD at 88 IU/mL. The assay was linear (r2 = 0.9974) in the range of all samples tested (1,000,000 to 100 IU/mL). Intra assay CV, determined on 10 replicates, were 1.35, 0.35 and 1.33% at the mean value of 4.80 log10 IU/mL (CI 95 4.75–4.84, AcroMetrix high), 7.30 log10 IU/mL (CI 95 7.28–7.32, Blood high) and 4.20 log10 IU/mL (CI95 4.159–4.239, Blood low). Inter assay CV, determined on 16 replicates were 4.5% at the mean value of 3.61 log10 IU/mL (CI 95 3.52–3.69) and 3.40% at the mean value of 4.98 log10 IU/mL (CI 95 4.89–5.07). Cross-contamination assays with a panel of 30 negative and highly positive alternate samples did not show any positive result in negative sample on the three m2000 platforms.

Table 1 Lower limit of detection (LOD) of the Abbott RealTime EBV assay for whole blood

Results from the QCMD EBV proficiency panels

For quantitative analysis, our results were compared to the consensus mean and standard deviation calculated from all the data returned by the participants to the QCMD EBV proficiency panels. Differences between measured and expected values ranged from 0.254 (16C1–05) to − 0.443 log10 IU/mL (16C1–02) (median = 0.051 log10 IU/mL) with a correlation coefficient calculated on positive values of 0.8594 (p = 0.0002). EBV DNA was not detected in the negative QCMD EBV samples (16C1–03 and 16C2–03) and in the educational QCMD samples 16C1–04, 16C2–04 and 17C1–05 (respectively 2.389, 2.430 and 2.597 log10 IU/mL). EBV DNA was below the limit of quantification in the educational QCMD 17C1–02(2.457 log10 IU/mL) (Table 2).

Table 2 Quantification of EBV DNA with Abbott RealTime EBV assay in QCMD 2016 EBV samples

Comparison of the Abbott RealTime EBV and EBV PCR kit V1

A total of 282 WB clinical samples was analyzed using the two assays (Table 3). By using RT assay, DNA EBV was detected in 196 samples of which 176 were quantified above the LLQ value. With the V1 assay, EBV DNA was detected in 199 samples of which 173 were quantified above the LLQ value. One hundred eighty-six and 161 samples were respectively detected positive and quantified with both assays. The two assays showed a good agreement of 91.84% with a Kappa index of 0.81.

Table 3 Comparison Of V1 And Rt Ebv Assays On 282 Whole Blood Samples

Results between the two techniques were discordant for 23 samples (8%). Discrepancies were observed mainly for samples with a low viral load. Thirteen samples were detected only with V1 assay (DNA load below the LLQ for 9 samples and at 2.59, 2.61, 2.64 and 2.66 log10 IU/mL for the four other samples) and 10 samples were detected only with RT assay (DNA load below the LLQ for 7 samples and at 2.18, 2.19 and 2.51 log10 IU/mL for the three other samples).

The analysis of the 161 samples quantified by both assays showed a r2 of 0.8600 between RT and V1 assay (p < 0.0001) (Fig. 1). Viral load values measured with the RT assay were on average 0.30 log10IU/mL (IC95 0.25–0.34) lower than those measured with the V1 assay (p < 0.0001).

Fig. 1
figure 1

Correlation plot of EBV DNA load values measured by the two assays. Correlation plot of EBV DNA load values measured by EBV PCR kit v1 and the Abbott RealTime EBV assays for samples quantified with the two assays (n = 161). EBV DNA loads are expressed in log10 IU/mL. For V1 assay, log10 IU/mL were calculated from log copies/mL using previously calculated conversion factor

Bland-Altman analysis was used to determine the limit of agreement between the two assays. The mean bias was 0.29 and 95% limits of agreement ranging from − 0.30 to 0.89. Ten samples were outside the 95% limits of agreement (Fig. 2). Among the 161 samples quantified by both assays, only one sample differed more than 0.5 log10 IU/ml between the two assays (5.11 log10 IU/mL with V1 assay and 5.63 log10 IU/mL with RT assay).

Fig. 2
figure 2

Bland-Altman plot of the two assays. Bland-Altman plot of the EBV PCR kit v1 and the Abbott RealTime EBV assays for samples quantified with the two assays (n = 161). EBV DNA loads are expressed in log10 IU/mL

The internal controls included in both test systems were detected within the expected range in all samples.

Kinetics of EBV DNA in WB in 11 HSCT after rituximab injection measured with both assays

In order to further analyze the correlation between the two assays we compared the viral load kinetics for 11 HSCT recipients who had at least three successively positive samples and received rituximab. Our local practice recommended starting rituximab when EBV load in blood rose above 3.49 log10 IU/mL log10 with V1 assay after consideration of patient’s risk factors. Number of doses varied according the kinetics of EBV loads and biological and clinical parameters. As shown in Fig. 3, the profiles of the two assays were very similar for every patient and variations were always in the same direction. With the use of RT assay, EBV load was considered still positive in 5 patients at the time it dropped below undetectable levels with V1 assay. This may help to better estimate the kinetics of EBV load and the impact of treatments to control EBV reactivations. The median number of doses of rituximab was two. All patients responded to rituximab with a median EBV DNA load decrease after the first dose of 0.42 log10 IU/mL/day (range: 0.69 to − 0.06 log10 IU/mL/day; EBV load values with RT assay). In nine patients (#2, #3, #5–11), a significant decrease of EBV load (> 0.5 log; EBV load values with RT assay) was observed after the first dose while it remained stable in two patients (#1, #4). After a median follow-up of 517 days (range: 82 to 1468 days) none of them had developed a PTLD.

Fig. 3
figure 3

Kinetics of EBV DNA before and after rituximab injection measured with the two assays. Kinetics of EBV DNA was measured in 11 hematopoietic stem cell transplant recipients (#1 to #11) with the EBV PCR kit V1 and the Abbott RealTime EBV assay. EBV DNA loads are expressed in log10 IU/mL. Black arrows indicate time of rituximab injection. Detectable but non quantifiable samples are represented as the half of the LLQ of the technique. Non detectable samples are represented as zero on the graph

Discussion

Sensitive and reproducible EBV DNA quantification in blood is critical for preemptive treatment initiation and monitoring. The medical community involved in the management of HSCT patients needs consensual threshold values to start treatments. To achieve this goal, the first step is the creation of an international standard for the quantification of EBV DNA. We have tested an automated assay for the quantification of EBV in whole blood using the WHO EBV international standard. In addition to the international standard we also tested QCMD panels to better estimate the accuracy of the assay. We then compared results from this assay with results from a former real-time quantitative PCR, a series of clinical samples and the prospective follow-up of EBV load in patients who received a therapy with rituximab for EBV reactivation.

The LOD estimated in our study (88 IU/mL) was close to that defined by the manufacturer (115.2 IU/mL, 95%CI 97.6–150.5 IU/mL) who also used WHO EBV international standard for LOD determination. Previous evaluation of this assay by Lee et al. estimated a lower LOD (48.9 IU/mL) that may be explained by the use of different analytical panels (Qnostic) [25]. The assay was linear in the large range of values (102 to 106 IU/mL) that fits with values usually observed in blood samples. The assay was highly reproducible with intra CV below 2% and inter CV below 5% which is similar to values previously reported [25]. In addition, the assay enables a complete traceability from sample registration in the laboratory informatics system (LIS) to results transmission from the molecular platform to the LIS. Altogether our results enabled to fulfill criteria to approve RT assay in accordance to international ISO 15189 standard [22].

Four panels of European molecular quality controls (QCMD 2016 and 2017) were tested. RT assay results were correlated with the expected values. Only educational samples with values below 3 log10 IU/mL were not detected, thus slightly higher than LOD values we found, and found by other studies and those claimed by the manufacturer. In another work, Abbott RealTime EBV run on a different system (maxCycle) detected all EBV positive samples in 2015 and 2016 QCMD panels including those below 3 log10 IU/mL [26].

The comparison of RT assay with the V1 assay we used in clinical practice, on clinical samples, showed similar results. Quantitative values of positive samples were highly correlated. Eight percent of samples were discrepant and corresponded to low EBV load values. Viral load values measured with the RT assay were on average 0.30 log10 IU/mL lower than those measured with the V1 assay suggesting that threshold values for therapeutic management might be adapted. Previously, comparison between the same two assays gave similar results on plasma samples collection [21]. Vinuesa et al. study also found a significant correlation between assays on 60 plasma specimens quantifiable by both assays (r2 = 0.669; p = < 0.0001) but a non-significant difference between the two assays (0.07 log UI/mL). A seemingly higher difference between the two assays in our series may reflect the higher complexity for extracting whole blood than plasma and may account also for the higher number of samples tested in our work.

The comparison of both assays in the follow-up of patients with EBV loads requiring rituximab treatment showed stackable curves. Results of the patients’ follow-up suggest also that the RT assay gave a better estimation of control of EBV reactivation as it remained positive longer than V1 assay after rituximab injection. However, in these patients, a change in rituximab treatment due to the use of RT assay instead of V1 assay seems unlikely. In our institution, a follow-up of the patients was made during several weeks after the routine implementation of the Abbott assay and a new therapeutic threshold was defined in agreement with the clinicians and based on our local experience. Higher sensitivity might be useful for EBV half-life determination with current treatments and future therapies and thus might help in defining treatment efficacy. Such a technique and others in the market using international standard should now be used for multicenter studies to define a clinical threshold for preemptive therapies that might help to optimize rituximab treatment, considering its potential side-effects.

Conclusion

In conclusion, the RT assay is a reliable assay for EBV load in whole blood. Its sensitivity will enable to estimate the kinetics of EBV load and the impact of treatments to control EBV reactivations.

Availability of data and materials

The datasets analysed are available from the corresponding author on request.

Abbreviations

CV:

Coefficients of Variation

EBV:

Epstein Barr Virus

HSCT:

Hematopoietic Stem Cell Transplant

IS:

International Standard

IU:

International Unit

LLQ:

Lower Limit of quantification

LOD:

Limit of Detection

PTLD:

Post Transplant Lymphoproliferative Disorders

QCMD:

Quality Control for Molecular Diagnosis

RT assay:

EBV RealTime Abbott assay

V1 assay:

EBV PCR Kit V1 Abbott assay

WB:

Whole Blood

References

  1. Williams H, Crawford DH. Epstein-Barr virus: the impact of scientific advances on clinical practice. Blood. 2006;107:862–9.

    Article  CAS  Google Scholar 

  2. Abu-Elmagd KM, Mazariegos G, Costa G, Soltys K, Bond G, Sindhi R, et al. Lymphoproliferative disorders and de novo malignancies in intestinal and multivisceral recipients: improved outcomes with new outlooks. Transplantation. 2009;88:926–34.

    Article  Google Scholar 

  3. Vetsika E-K, Callan M. Infectious mononucleosis and Epstein-Barr virus. Expert Rev Mol Med. 2004;6:1–16.

    Article  Google Scholar 

  4. Martinez OM, de Gruijl FR. Molecular and immunologic mechanisms of cancer pathogenesis in solid organ transplant recipients. Am J Transplant Off J Am Soc Transplant Am Soc Transpl Surg. 2008;8:2205–11.

    Article  CAS  Google Scholar 

  5. Snow AL, Martinez OM. Epstein-Barr virus: evasive maneuvers in the development of PTLD. Am J Transplant Off J Am Soc Transplant Am Soc Transpl Surg. 2007;7:271–7.

    Article  CAS  Google Scholar 

  6. Preiksaitis JK, Keay S. Diagnosis and management of posttransplant lymphoproliferative disorder in solid-organ transplant recipients. Clin Infect Dis Off Publ Infect Dis Soc Am. 2001;33(Suppl 1):S38–46.

    Article  Google Scholar 

  7. Stevens SJ, Verschuuren EA, Pronk I, van Der Bij W, Harmsen MC, The TH, et al. Frequent monitoring of Epstein-Barr virus DNA load in unfractionated whole blood is essential for early detection of posttransplant lymphoproliferative disease in high-risk patients. Blood. 2001;97:1165–71.

    Article  CAS  Google Scholar 

  8. van Esser JWJ, Niesters HGM, van der Holt B, Meijer E, Osterhaus ADME, Gratama JW, et al. Prevention of Epstein-Barr virus-lymphoproliferative disease by molecular monitoring and preemptive rituximab in high-risk patients after allogeneic stem cell transplantation. Blood. 2002;99:4364–9.

    Article  Google Scholar 

  9. Baiocchi OCG, Colleoni GWB, Caballero OL, Vettore AL, Andrade ALSS, Pestana JOM. Quantification of Epstein-Barr viral load and determination of a cut-off value to predict the risk of post-transplant lymphoproliferative disease in a renal transplant cohort. Haematologica. 2004;89:366–8.

    PubMed  Google Scholar 

  10. Gulley ML, Tang W. Using Epstein-Barr viral load assays to diagnose, monitor, and prevent Posttransplant Lymphoproliferative disorder. Clin Microbiol Rev. 2010;23:350–66.

    Article  CAS  Google Scholar 

  11. Kwong Y-L, Pang AWK, Leung AYH, Chim C-S, Tse E. Quantification of circulating Epstein-Barr virus DNA in NK/T-cell lymphoma treated with the SMILE protocol: diagnostic and prognostic significance. Leukemia. 2014;28:865–70.

    Article  CAS  Google Scholar 

  12. Meerbach A, Wutzler P, Häfer R, Zintl F, Gruhn B. Monitoring of Epstein-Barr virus load after hematopoietic stem cell transplantation for early intervention in post-transplant lymphoproliferative disease. J Med Virol. 2008;80:441–54.

    Article  CAS  Google Scholar 

  13. Ruf S, Behnke-Hall K, Gruhn B, Bauer J, Horn M, Beck J, et al. Comparison of six different specimen types for Epstein-Barr viral load quantification in peripheral blood of pediatric patients after heart transplantation or after allogeneic hematopoietic stem cell transplantation. J Clin Virol Off Publ Pan Am Soc Clin Virol. 2012;53:186–94.

    Article  CAS  Google Scholar 

  14. Raberahona M, Wackenheim C, Germi R, Carré M, Bulabois C-E, Thiébaut A, et al. Dynamics of Epstein-Barr viral load after hematopoietic stem cell transplantation and effect of preemptive rituximab therapy. Transpl Infect Dis Off J Transplant Soc. 2016;18:889–95.

    Article  CAS  Google Scholar 

  15. Germi R, Lupo J, Semenova T, Larrat S, Magnat N, Grossi L, et al. Comparison of commercial extraction systems and PCR assays for quantification of Epstein-Barr virus DNA load in whole blood. J Clin Microbiol. 2012;50:1384–9.

    Article  Google Scholar 

  16. Abbate I, Zanchetta M, Gatti M, Gabrielli L, Zanussi S, Milia MG, et al. Multicenter comparative study of Epstein-Barr virus DNA quantification for virological monitoring in transplanted patients. J Clin Virol Off Publ Pan Am Soc Clin Virol. 2011;50:224–9.

    Article  CAS  Google Scholar 

  17. Hayden RT, Hokanson KM, Pounds SB, Bankowski MJ, Belzer SW, Carr J, et al. Multicenter comparison of different real-time PCR assays for quantitative detection of Epstein-Barr virus. J Clin Microbiol. 2008;46:157–63.

    Article  CAS  Google Scholar 

  18. Preiksaitis JK, Pang XL, Fox JD, Fenton JM, Caliendo AM, Miller GG, et al. Interlaboratory comparison of epstein-barr virus viral load assays. Am J Transplant Off J Am Soc Transplant Am Soc Transpl Surg. 2009;9:269–79.

    Article  CAS  Google Scholar 

  19. Hübner M, Bozic M, Konrad PM, Grohs K, Santner BI, Kessler HH. Analytical and clinical performance of a new molecular assay for Epstein-Barr virus DNA quantitation. J Virol Methods. 2015;212:39–43.

    Article  Google Scholar 

  20. Salmona M, Fourati S, Feghoul L, Scieux C, Thiriez A, Simon F, et al. Automated quantification of Epstein-Barr virus in whole blood of hematopoietic stem cell transplant patients using the Abbott m2000 system. Diagn Microbiol Infect Dis. 2016;85:428–32.

    Article  CAS  Google Scholar 

  21. Vinuesa V, Solano C, Giménez E, Navarro D. Comparison of the artus Epstein–Barr virus (EBV) PCR kit and the Abbott RealTime EBV assay for measuring plasma EBV DNA loads in allogeneic stem cell transplant recipients. Diagn Microbiol Infect Dis. 2017;88:36–8.

    Article  CAS  Google Scholar 

  22. Schneider F, Maurer C, Friedberg RC. International Organization for Standardization (ISO) 15189. Ann Lab Med. 2017;37:365–70.

    Article  Google Scholar 

  23. Fryer JF, Heath AB, Wilkinson DE, Minor PD, Collaborative Study Group. A collaborative study to establish the 1st WHO international standard for Epstein-Barr virus for nucleic acid amplification techniques. Biol J Int Assoc Biol Stand. 2016;44:423–33.

    CAS  Google Scholar 

  24. Prism - graphpad.com. [cited 2018 Dec 19]. Available from: https://www.graphpad.com/scientific-software/prism/

  25. Lee J-S, Yoon M, Kim MJ, Cho SI, Seong M-W, Park SS, et al. Evaluation of the new Abbott real-time EBV assay: fully automated quantification of EBV in whole blood by targeting BLLF1. Diagn Microbiol Infect Dis. 2019;94:135–9.

    Article  CAS  Google Scholar 

  26. Bontems S, Boreux R, Capraro V, Huynen P, Descy J, Melin P, et al. Evaluation of the Abbott RealTime quantitative CMV and EBV assays using the maxCycle protocol in a laboratory automation context. J Virol Methods. 2019;270:137–45.

    Article  CAS  Google Scholar 

Download references

Acknowledgements

Not applicable.

Funding

Not applicable.

Author information

Authors and Affiliations

Authors

Contributions

CS, MCM, SM, GS and JLG designed the study. MS, KS and NM performed the experiment and data analysis. MS wrote the manuscript. JLG, FSF and FS revised the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Maud Salmona.

Ethics declarations

Ethics approval and consent to participate

The study was carried out in accordance with the Declaration of Helsinki. This study was a non-interventional study with no addition sampling to usual procedures. Biological material and clinical data were obtained only for standard viral diagnostic following physicians’ prescriptions (no specific sampling, no modification of the sampling protocol). Data analyses were carried out using an anonymized database. According to the French Health Public Law (CSP Art L 1121–1.1), such protocol was exempted from informed consent application.

Consent for publication

Not applicable.

Competing interests

JLG AND FS declare Consultancies, honoraria and expert testimony with Abbott laboratories. All other authors declare that they have no competing interest.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Salmona, M., Stefic, K., Mahjoub, N. et al. Automated quantification of Epstein-Barr virus in whole blood for post-transplant lymphoproliferative disorders monitoring. Virol J 17, 20 (2020). https://doi.org/10.1186/s12985-020-1285-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12985-020-1285-7

Keywords