Literature DB >> 27549586

Evaluation of RealStar Reverse Transcription-Polymerase Chain Reaction Kits for Filovirus Detection in the Laboratory and Field.

Toni Rieger1, Romy Kerber1, Hussein El Halas2, Elisa Pallasch3, Sophie Duraffour1, Stephan Günther3, Stephan Ölschläger2.   

Abstract

BACKGROUND: Diagnosis of Ebola virus (EBOV) disease (EVD) requires laboratory testing.
METHODS: The RealStar Filovirus Screen reverse transcription-polymerase chain reaction (RT-PCR) kit and the derived RealStar Zaire Ebolavirus RT-PCR kit were validated using in vitro transcripts, supernatant of infected cell cultures, and clinical specimens from patients with EVD.
RESULTS: The Filovirus Screen kit detected EBOV, Sudan virus, Taï Forest virus, Bundibugyo virus, Reston virus, and Marburg virus and differentiated between the genera Ebolavirus and Marburgvirus The amount of filovirus RNA that could be detected with a probability of 95% ranged from 11 to 67 RNA copies/reaction on a LightCycler 480 II. The Zaire Ebolavirus kit is based on the Filovirus Screen kit but was optimized for detection of EBOV. It has an improved signal-to-noise ratio at low EBOV RNA concentrations and is somewhat more sensitive than the Filovirus kit. Both kits show significantly lower analytical sensitivity on a SmartCycler II. Clinical evaluation revealed that the SmartCycler II, compared with other real-time PCR platforms, decreases the clinical sensitivity of the Filovirus Screen kit to diagnose EVD at an early stage.
CONCLUSIONS: The Filovirus Screen kit detects all human-pathogenic filoviruses with good analytical sensitivity if performed on an appropriate real-time PCR platform. High analytical sensitivity is important for early diagnosis of EVD.
© The Author 2016. Published by Oxford University Press for the Infectious Diseases Society of America.

Entities:  

Keywords:  Ebola virus disease; Filovirus; commercial RT-PCR kit; molecular diagnostics; sensitivity

Mesh:

Substances:

Year:  2016        PMID: 27549586      PMCID: PMC5050472          DOI: 10.1093/infdis/jiw246

Source DB:  PubMed          Journal:  J Infect Dis        ISSN: 0022-1899            Impact factor:   5.226


The virus family Filoviridae contains 2 genera. The genus Marburgvirus consists of 1 species, Marburg marburgvirus, with the viruses Marburg (MARV) and Ravn (RAVV). The genus Ebolavirus contains 5 species: Zaire ebolavirus (Ebola virus [EBOV]), Sudan ebolavirus (Sudan virus [SUDV]), Tai Forest ebolavirus (Taï Forest virus [TAFV]), Bundibugyo ebolavirus (Bundibugyo virus [BDBV]), and Reston ebolavirus (Reston virus [RESTV]). The latter is endemic in Southeast Asia, while all other species are endemic in sub-Saharan Africa [1]. The signs and symptoms of EBOV disease (EVD), which may be caused by EBOV, SUDV, TAFV, and BDBV, and MARV disease are unspecific and resemble those of malaria, gastrointestinal infections, sepsis, and other viral hemorrhagic fevers. Therefore, diagnosis of acute EVD mainly relies on laboratory testing, specifically on reverse transcription–polymerase chain reaction (RT-PCR) analysis [2]. Assays for specific detection and differentiation of filovirus species [3-5], as well as broad-range assays for detection of various members of the family Filoviridae [6, 7], had been published before the West African EVD outbreak. During the outbreak, new commercial kits for nucleic acid or antigen detection of EBOV have been developed and validated [8]. In this study, we describe the RealStar Filovirus Screen RT-PCR Kit 1.0, which is designed to detect a broad range of filoviruses, including EBOV, SUDV, TAFV, BDBV, RESTV, MARV, and RAVV, as well as the RealStar Zaire Ebolavirus RT-PCR Kit 1.0. The latter is based on the former but has been optimized for EBOV detection. The European Mobile Laboratory (EMLab) used both kits for EBOV diagnostic testing in the field during the West African EVD outbreak. We report on the performance of the kits on various real-time PCR platforms.

MATERIALS AND METHODS

RealStar Filovirus Screen and Zaire Ebolavirus RT-PCR Kits

The RealStar Filovirus Screen kit (altona Diagnostics, Hamburg, Germany) targets a conserved region in the L gene [6]. Filovirus sequences available in GenBank as of December 2013 were used to design primers and probes able to detect EBOV, SUDV, TAFV, BDBV, RESTV, MARV, and RAVV. The reaction mix contains an internal control system amplifying a heterologous target sequence to monitor the purification procedure and check for inhibition of the RT-PCR. Ebolavirus species are detected in the FAM channel, Marburgvirus species in the Cy5 channel, and the internal control in the JOE channel. The RT-PCR conditions were optimized by titration of the PCR reagents. The RealStar Zaire Ebolavirus RT-PCR kit 1.0 (altona Diagnostics) is based on the Filovirus Screen kit but contains only those primers and probes required for EBOV detection. Details of the assay compositions are confidential intellectual property of altona Diagnostics.

Nucleic Acid Extraction and Cycling Conditions

RNA was extracted from 140 µL of plasma collected in tubes containing ethylenediaminetetraacetic acid, from 140 µL of cell culture supernatant, or from 50 µL of whole blood, using the QIAamp Viral RNA Mini kit (Qiagen) according to the manufacturer's instructions. Before extraction, 6 µL (one tenth of the elution volume) of the internal control template was added to the sample. The elution volume was 60 µL. The RT-PCR assay contained 10 µL of RNA and 20 µL of master mix from the RealStar kits. Thermal cycling comprised reverse transcription at 55°C for 20 minutes; activation of Taq polymerase at 95°C for 2 minutes; and 45 cycles at 95°C for 15 seconds, 58°C for 45 seconds with fluorescence acquisition, and 72°C for 15 seconds. Reactions were performed on LightCycler 480 II (Roche), CFX96 (Bio-Rad), Rotor-Gene Q and 6000 (Qiagen), and SmartCycler II (Cepheid) real-time PCR instruments with the same protocol.

Reference Filovirus RT-PCR Assay

Pan-filovirus primers and probes targeting the L gene, published by Panning et al [6], were used in conjunction with the AgPath-ID One-Step RT-PCR reagents (Life Technologies) as recommended by the German National Laboratory Network for Detection of Biological Threat Agents (NaLaDiBA). In brief, the 25-µL assay (also known as the Panning 2007 assay) contained 12.5 µL of buffer RT, 1 µL of enhancer, 1 µL of enzyme mix, 3 µL of RNA, 0.2 µM FiloA2.4, 0.2 µM FiloA2.2, 0.2 µM FiloA2.3, 0.3 µM FiloB, 0.3 µM FiloB-Ra, 0.08 µM FAMEBOSu, 0.08 µM FAMEBOg, and 0.08 µM FAMMBG. The reference assay was performed on the LightCycler 480 II instrument.

Reactivity, Sensitivity, and Specificity Testing

In vitro transcripts of the target sequences of EBOV Mayinga, EBOV Gabon 2003, EBOV Makona, SUDV Gulu, TAFV, RESTV, BDBV, MARV Popp, and MARV Leiden 2008 were generated using the MEGAScript T7 kit (Life Technologies) and purified using the QIAamp RNA Mini Kit, and the concentration was measured photometrically. Quantified in vitro transcript was used for determination of the 95% limit of detection (LoD95). To this end, the in vitro transcript was diluted in half-logarithmic steps in AE buffer (Qiagen) containing 10 µg/mL poly(A) RNA (GE Healthcare). The dilutions were directly tested in the RT-PCR assay in 8–12 replicates. The number of positive results per number tested (ie, the hit ratio) was subjected to probit analysis, using PriProbit, version 1.63 [9]. Assay reactivity was validated with RNA extracted from supernatant of cell-cultures infected with EBOV strains Mayinga, Gabon 2003, and Makona; SUDV strains Gulu and Maridi; RESTV; TAFV; and MARV strains Leiden 2008, Musoke, and Popp. Cross-reactivity of the assay was validated with clinical or cultured material containing the following pathogens: Japanese encephalitis virus, Saint Louis encephalitis virus, West Nile virus NY99, West Nile virus Uganda, yellow fever virus 17D, yellow fever virus French neurotropic vaccine, Murray Valley encephalitis virus, Zika virus, tick-borne encephalitis virus, Usutu virus, dengue virus 1, dengue virus 2, dengue virus 3, dengue virus 4, hepatitis C virus 3a, hepatitis C virus 1b, hepatitis A virus 1b, hepatitis E virus gg3c, CCHFV Afg09-2990, Lassa virus Nig08-A37, Lassa virus CSF, Lassa virus Lib05-1580/121, Lassa virus AV, Junin virus XJ, Machupo virus Carvallo, Sabia virus SPH114202, Guanarito virus INH-95551, vesicular stomatitis virus Indiana, Rift Valley fever virus MP12, and Hantaan virus 76-118. Thirty-six plasma samples from European blood donors were assayed with the Filovirus Screen kit to test for undesired cross-reactivity with human nucleic acid and for stable detection of the internal control. The Zaire Ebolavirus kit was not tested for cross-reactivity as it contains the same oligonucleotides as the Filovirus Screen kit. All reactivity and cross-reactivity data were generated using a LightCycler 480 II instrument.

External Quality Assessment

In March 2015, the EMLab unit in Coyah, Guinea, participated in an external quality assessment for EBOV RT-PCR field diagnostic testing organized by the Centers for Disease Control and Prevention (Atlanta, Georgia). Samples 1–5 were resuspended in 200 µL of water and extracted according to the protocol described above. From the 60 µL, 10 µL were used for RT-PCR. RNA samples 6–10 were resuspended in 40 µL of water, and 10 µL were used for RT-PCR. All samples were tested with both RealStar kits on Rotor-Gene and SmartCycler II instruments.

Retesting of Field Samples From Guéckédou

Specimens tested by the EMLab unit in Guéckédou were retrospectively retested in Hamburg to evaluate the clinical sensitivity of the kits. Samples were selected for retesting if they had been tested using the Filovirus Screen kit on a SmartCycler II in the field and if the patient had negative test results for 1 or several early samples but had a follow-up sample that tested positive for EBOV RNA. The extracted RNA of early and late samples was retested by using the RealStar kits on Rotor-Gene and CFX96.

Ethics

The National Committee of Ethics in Medical Research of Guinea, as well as the Ethics Committee of the Medical Association of Hamburg, approved the use of diagnostic leftover samples and corresponding patient data for this study (permit numbers 11/CNERS/14 and PV4910).

RESULTS

The design of the RealStar Filovirus Screen kit is based on the Panning 2007 assay [6], although primers and probes were modified to improve performance. The reactivity of the assay was validated with RNA from supernatant of cell cultures infected with EBOV strains Mayinga, Gabon 2003, and Makona; SUDV strains Gulu and Maridi; RESTV; TAFV; and MARV strains Leiden 2008, Musoke, and Popp; in vitro transcript was used for BDBV. The Filovirus Screen kit detected all Ebolavirus and Marburgvirus strains in the FAM and Cy5 channels, respectively, as expected. No cross-reactivity with nucleic acid in 36 human plasma samples or 30 human-pathogenic viruses (see Materials and Methods) was observed. The sensitivity of the Filovirus Screen kit was approximated by comparing it against the Panning 2007 reference assay. To this end, log-scale dilutions of cell-culture-derived virus were spiked in human plasma and tested in triplicates. Both assays detected the same end point dilution for EBOV Mayinga and Makona and SUDV Gulu, while the Filovirus Screen kit reached a 2-log higher endpoint dilution with MARV Leiden 2008. The analytical sensitivity, defined as the amount of target RNA that can be detected with a probability of 95% (ie, the LoD95), was determined by testing dilutions of in vitro transcript for SUDV Gulu, MARV Popp and Musoke, BDBV, and EBOV Gabon 2003 and Makona in 8–12 replicates, followed by probit analysis of the hit ratios. On the standard instruments recommended for the assay, the Rotor-Gene 6000, LightCycler 480 II, and CFX96, the Filovirus Screen kit achieved the following LoD95 values: 1.9 RNA copies/µL of RNA eluate (95% confidence interval [CI], 1.1–3.3 RNA copies/µL of RNA eluate) for EBOV Gabon 2003, 1.1 (95% CI, 1.0–1.2) for EBOV 2014/Gueckedou-C05, 6.7 (95% CI, 4.2–24) for SUDV Gulu, 1.1 (95% CI, .22–11) for MARV Popp, 4.2 (95% CI, 1.9–18) for MARV Musoke, and 1.8 (95% CI, 1.6–2.1) for BDBV. Given extraction of RNA from 140 µL of body fluid, elution in 60 µL, and input of 10 µL of RNA per reaction, these LoD95 values correspond to 471–2871 RNA copies/mL plasma. For EBOV diagnostic testing in the West African EVD outbreak, EMLab and other laboratories used the SmartCycler II real-time PCR instrument. It is composed of 16 individual cycling units, a unique feature that facilitates rapid testing of samples once they arrive in the laboratory, irrespective of whether other samples are already running on the instrument. This ensures a low turnaround time, a key indicator of laboratory performance. However, others and we noticed reduced sensitivity of the Filovirus Screen kit on that instrument in the field. Testing of EBOV Makona in vitro transcript and probit analysis confirmed the significantly reduced analytical sensitivity of the kit on the SmartCycler II (Table 1), with LoD95 values corresponding to 17 100 RNA copies/mL body fluid.
Table 1.

Analytical Sensitivity of the RealStar Kits on the Rotor-Gene 6000 and the SmartCycler II Platforms

Filovirus Screen RT-PCR Kit
Zaire Ebolavirus RT-PCR Kit
VariableRotor-GeneSmartCycler IIRotor-GeneSmartCycler II
IVT concentration, copies/µLa
31628/812/12
10008/812/12
3168/88/88/812/12
1008/88/88/88/12
328/87/88/87/12
108/85/88/81/12
3.28/81/88/81/12
15/80/85/80/12
0.30/83/8
0.10/80/8
LoD95 (95% CI)b1.1 (1.0–1.2)40 (20–251)2.4 (1.2–16)c233 (121–852)

Data are no. of positive results/no. of replicates tested, unless otherwise indicated. Probit analysis was used to calculate the 95% limit of detection.

Abbreviations: CI, confidence interval; RT-PCR, reverse transcription–polymerase chain reaction.

a In vitro transcripts (IVTs) based on Ebola virus 2014/Gueckedou-C05 were used to determine the hit rates for given concentrations. A 10-µL RNA solution was used per RT-PCR assay.

b Analytical sensitivity, defined as the amount of target RNA that can be detected with a probability of 95% (LoD95). Values represent RNA copies/µL of RNA solution.

c Comparable analytical sensitivity of the Zaire Ebolavirus RT-PCR Kit was obtained by testing EBOV Gabon 2003 IVT on the CFX96 platform (1.9 RNA copies/µL [95% CI, 1.1–6.9 RNA copies/µL]).

Analytical Sensitivity of the RealStar Kits on the Rotor-Gene 6000 and the SmartCycler II Platforms Data are no. of positive results/no. of replicates tested, unless otherwise indicated. Probit analysis was used to calculate the 95% limit of detection. Abbreviations: CI, confidence interval; RT-PCR, reverse transcription–polymerase chain reaction. a In vitro transcripts (IVTs) based on Ebola virus 2014/Gueckedou-C05 were used to determine the hit rates for given concentrations. A 10-µL RNA solution was used per RT-PCR assay. b Analytical sensitivity, defined as the amount of target RNA that can be detected with a probability of 95% (LoD95). Values represent RNA copies/µL of RNA solution. c Comparable analytical sensitivity of the Zaire Ebolavirus RT-PCR Kit was obtained by testing EBOV Gabon 2003 IVT on the CFX96 platform (1.9 RNA copies/µL [95% CI, 1.1–6.9 RNA copies/µL]). We have taken 2 measures to cope with this problem. First, EMLab installed Rotor-Gene instruments in the field, on which the Filovirus Screen kit shows good analytical sensitivity as tested with EBOV in vitro transcript (Table 1). In addition, altona Diagnostics developed the Zaire Ebolavirus kit, which is identical to the Filovirus Screen kit but includes only those primers and probes required for detection of EBOV. This improves the signal-to-noise ratio for EBOV, particularly for samples with low virus load (Figure 1), while it abolishes the option to detect other filovirus species. Reactivity of the Zaire Ebolavirus kit was validated with RNA from supernatant of cell cultures infected with EBOV strains Gabon 2003 and Makona, SUDV Gulu, RESTV, TAFV, and MARV Musoke, as well as in vitro transcript for BDBV. As expected, the kit detected only the EBOV strains and showed some cross-reactivity with BDBV and RESTV in the FAM channel; no signals were seen in the Cy5 channel. Analytical sensitivity as tested with EBOV in vitro transcript did not differ significantly from the LoD95 for the Filovirus Screen kit (Table 1).
Figure 1.

Fluorescence signal intensity determined by real-time reverse transcription–polymerase chain reaction analysis, using Zaire Ebolavirus and Filovirus Screen kits. Dilutions of Ebola virus (EBOV) RNA were assayed in parallel with Zaire Ebolavirus and Filovirus Screen kits on the CFX96 instrument. At low RNA concentrations, the fluorescence signal-to-noise ratio for the Zaire Ebolavirus kit is improved, compared with that for the Filovirus Screen kit.

Fluorescence signal intensity determined by real-time reverse transcription–polymerase chain reaction analysis, using Zaire Ebolavirus and Filovirus Screen kits. Dilutions of Ebola virus (EBOV) RNA were assayed in parallel with Zaire Ebolavirus and Filovirus Screen kits on the CFX96 instrument. At low RNA concentrations, the fluorescence signal-to-noise ratio for the Zaire Ebolavirus kit is improved, compared with that for the Filovirus Screen kit. A small-scale evaluation in the EMLab field unit of the Zaire Ebolavirus and Filovirus Screen kits on both the Rotor-Gene Q and SmartCycler II revealed a gain in sensitivity due to use of the Zaire Ebolavirus kit and the Rotor-Gene (Table 2). The EMLab results for the external quality assessment organized by the Centers for Disease Control and Prevention in March 2015 for field laboratories further confirmed the superiority of the Rotor-Gene platform (Table 3). While the cycle threshold values hardly differ across the various platforms and kits, indicating comparable amplification efficacy, the SmartCycler II–Filovirus Screen combination has difficulty detecting low concentrations of EBOV RNA corresponding to cycle threshold values of around ≥33 (Tables 2 and 3).
Table 2.

Relative Sensitivity of Filovirus Screen and Zaire Ebolavirus Kits on Different Polymerase Chain Reaction (PCR) Platforms as Evaluated With Ebola Virus (EBOV) RNA From Patient Samples in the EMLab Field Unit

Sample No., RNA DilutionaRotor-Gene Q, Ct
SmartCycler II, Ct
Filovirus Screen KitZaire Ebolavirus KitFilovirus Screen KitZaire Ebolavirus Kit
1 (15.5)
 10−118.518.118.618.9
 10−223.221.722.322.6
 10−430.028.729.129.6
 10−533.732.4Negative33.4
 10−6Negative37.1Negative36.4
2 (20.1)
 10−122.922.822.523.4
 10−227.426.726.327.1
 10−435.034.935.833.6
 10−5NegativeNegativeNegativeNegative
3 (31.1)
 10−1Negative37.6NegativeNegative
 10−2Negative37.7NegativeNegative
 10−3NegativeNegativeNegativeNegative

RNA from patient samples was extracted, and diagnostic EBOV reverse transcription–PCR was performed using the Filovirus Screen kit on the SmartCycler II in the EMLab field unit in Coyah, Guinea. For the evaluation, the stored RNA was diluted in log-steps and tested in parallel on the different platforms.

Abbreviations: Ct, cycle threshold; EMLab, European Mobile Laboratory.

a The Ct of the diagnostic PCR is given in parentheses.

Table 3.

EMLab Results for the External Quality Assessment of Field Laboratories, Organized by the Centers for Disease Control and Prevention (CDC) in March 2015

CDC Sample ID, Expected ResultRotor-Gene Q, Ct
SmartCycler II, Ct
Filovirus Screen KitZaire Ebolavirus KitFilovirus Screen KitZaire Ebolavirus Kit
1, negativeNegativeNegativeNegativeNegative
2, positive32.332.030.931.9
3, positive24.024.324.125.0
4, negativeNegativeNegativeNegativeNegative
5, positive37.336.0NegativeaNegativea
6, positive22.221.721.922.0
7, negativeNegativeNegativeNegativeNegative
8, negativeNegativeNegativeNegativeNegative
9, negativeNegativeNegativeNegativeNegative
10, positive28.729.228.428.9

Abbreviations: Ct, cycle threshold; EMLab, European Mobile Laboratory; ID, identifier.

a False-negative result.

Relative Sensitivity of Filovirus Screen and Zaire Ebolavirus Kits on Different Polymerase Chain Reaction (PCR) Platforms as Evaluated With Ebola Virus (EBOV) RNA From Patient Samples in the EMLab Field Unit RNA from patient samples was extracted, and diagnostic EBOV reverse transcription–PCR was performed using the Filovirus Screen kit on the SmartCycler II in the EMLab field unit in Coyah, Guinea. For the evaluation, the stored RNA was diluted in log-steps and tested in parallel on the different platforms. Abbreviations: Ct, cycle threshold; EMLab, European Mobile Laboratory. a The Ct of the diagnostic PCR is given in parentheses. EMLab Results for the External Quality Assessment of Field Laboratories, Organized by the Centers for Disease Control and Prevention (CDC) in March 2015 Abbreviations: Ct, cycle threshold; EMLab, European Mobile Laboratory; ID, identifier. a False-negative result. To evaluate whether this loss of sensitivity has clinical relevance, we retested samples that had been tested in Guéckédou by using the Filovirus Screen kit on the SmartCycler II. We selected all patients with EVD from the EMLab database (24 of 2741 individuals with suspected EVD from Guinea who have been tested in Guéckédou) whose initial sample(s) tested negative for EBOV by RT-PCR but had follow-up samples that tested positive for EBOV RNA. Retesting of the initially negative samples and the follow-up samples was performed using Zaire Ebolavirus and/or Filovirus Screen kits on Rotor-Gene and CFX96 platforms in Hamburg. For patients 1–10, the PCR results from the field were confirmed with all assays (Table 4). However, for patients 11–24, retesting revealed EBOV RNA in several early samples that had negative or inconclusive test results in Guéckédou (Table 4). The Filovirus Screen kit on Rotor-Gene detected EBOV RNA in 8 additional samples, the Zaire Ebolavirus kit on Rotor-Gene detected EBOV RNA in 15 additional samples, and the Zaire Ebolavirus kit on CFX96 detected EBOV RNA in 14 additional samples. These data further confirm the gain in sensitivity that is provided by the Rotor-Gene and Zaire Ebolavirus kit. The median cycle threshold of samples, which were positive upon retesting with the Zaire Ebolavirus kit on Rotor-Gene, was 30.9 (range, 26.7–40.6). The 7 samples that tested positive by the Zaire Ebolavirus kit but negative by the Filovirus Screen kit on Rotor-Gene had a median cycle threshold of 37.8 (range, 30.9–40.6). These data indicate that enhancing sensitivity facilitates earlier detection of EVD after onset of disease.
Table 4.

Retesting of Samples From Patients With Ebola Virus (EBOV) Disease (EVD) Diagnosed by the EMLab in Guéckédou Whose Initial Specimen Tested Negative for EBOV RNA but Had a Follow-up Specimen That Tested Positive

Patient No., Days After OnsetaSmartCycler II Result of EMLab Field Unit Using the Filovirus Screen Kit, CtRetesting on Rotor-Gene 6000, Ct
Retesting on CFX96 Using the Zaire Ebolavirus Kit, Ct
Filovirus Screen KitZaire Ebolavirus Kit
1
 3NegativeNegativeNegativeNegative
 1027.327.626.627.5
2
 3NegativeNegativeNegativeNegative
 529.129.728.429.0
3
 4NegativeNegativeNegativeNegative
 1428.428.927.728.1
4
 5NegativeNegativeNegativeNegative
 1313.913.613.412.7
5
 6NegativeNegativeNegativeNegative
 727.726.826.027.1
6
 7NegativeNegativeNegativeNegative
 825.2NDNDND
7
 1NegativeNegativeNegativeNegative
 320.320.919.520.3
8
 16NegativeNegativeNegativeNegative
 2118.118.417.117.9
9
 4NegativeNegativeNegativeNegative
 1219.519.818.419.2
10
 5NegativeNegativeNegativeNegative
 6NegativeNegativeNegativeNegative
 1615.916.414.715.7
11
 1NegativeNegativeNegativeNegative
 3NegativeNegativeNegativeNegative
5Inconclusive30.829.530.7
 620.721.419.920.7
12
4Negative27.926.727.5
 528.329.528.229.2
13
6Negative29.928.128.8
 1117.916.915.616.1
14
2Negative29.029.729.5
 424.724.723.924.6
15
1Negative34.030.430.8
 321.420.519.219.7
16
0Negative33.029.330.1
 315.416.214.515.2
17
0Negative34.130.931.2
 123.123.422.222.9
18
5NegativeNegative38.739.5
 822.321.320.221.3
19
4NegativeNegative33.433.2
 1024.428.925.325.8
20
1NegativeNegative40.642.7
4Negative33.832.534.4
 518.218.416.818.0
21
7NegativeNegative32.232.5
 929.529.829.429.2
22
 1NegativeNegativeNegativeNegative
3NegativeNegative30.931.4
 427.728.9ND28.7
23
 1NegativeNegativeNegativeNegative
3NegativeNegative37.839.8
 430.234.536.431.9
24
9NegativeNegative40.6Negative
 1422.321.720.321.3

Extracted RNA from early and late samples of these patients was retested in Hamburg using different real-time PCR platforms and kits. Discrepant results are marked in bold.

Abbreviations: EMLab, European Mobile Laboratory; ND, not done due to insufficient leftover RNA.

a These data must be interpreted with caution. This information was taken from the World Health Organization database and sometimes differed from the information provided on the EMLab request forms. However, the time between collection of the 2 samples is based on the date of sampling recorded in the EMLab database.

Retesting of Samples From Patients With Ebola Virus (EBOV) Disease (EVD) Diagnosed by the EMLab in Guéckédou Whose Initial Specimen Tested Negative for EBOV RNA but Had a Follow-up Specimen That Tested Positive Extracted RNA from early and late samples of these patients was retested in Hamburg using different real-time PCR platforms and kits. Discrepant results are marked in bold. Abbreviations: EMLab, European Mobile Laboratory; ND, not done due to insufficient leftover RNA. a These data must be interpreted with caution. This information was taken from the World Health Organization database and sometimes differed from the information provided on the EMLab request forms. However, the time between collection of the 2 samples is based on the date of sampling recorded in the EMLab database.

DISCUSSION

In this study, we present analytical and clinical validation data for the RealStar Filovirus Screen and Zaire Ebolavirus RT-PCR kits, version 1.0. The Filovirus Screen kit detects all relevant filovirus species with high analytical sensitivity on the recommended real-time PCR platforms. The Zaire Ebolavirus kit has been optimized for detection of EBOV. It shows comparable analytical data for this species and improved clinical sensitivity in the early phase of EVD. Both kits are significantly less sensitive on the SmartCycler II. The EMLab started diagnostic service in Guéckédou in March 2014. The established work flow of the mobile unit included sample inactivation in a glove box, manual nucleic acid extraction by using the QIAamp viral RNA kit, and real-time RT-PCR on the SmartCycler II to ensure a quick turnaround [10]. Before field deployment, EMLab compared in-house assays available at that time for EBOV diagnostic testing, such as the Panning 2007 pan-filovirus assay [6] and the EBOV/SUDV-specific assay published by Gibb et al in 2001 [4], to the prototype of the Filovirus Screen kit. Because the kit outperformed the in-house assays on the EMLab platform, it was chosen for the mission. In addition, the Filovirus Screen kit provided the advantages of easy reaction set up, minimizing potential pipetting errors, quality-assured performance and reagents, and internal control system for monitoring the whole process. The latter feature has been crucial in the field to identify false-negative reactions, which were often observed with swab samples from human bodies (potentially due to prior treatment of the sampling sites with bleach that thus entered the reaction). The Filovirus Screen kit was eventually launched in April 2014 for research use only and in September 2014 as a Conformité Européene–marked in vitro diagnostic product. At the end of 2014, others and we noticed the reduced sensitivity of the kit on the SmartCycler II as compared to alternative instruments [11-14]. We should mention that the Filovirus Screen kit has been optimized for use on other real-time PCR platforms, such as the LightCycler 480 II or CFX96, while the SmartCycler II is not recommended, according to labeling and manufacturer's instructions [15]. A lesson learned from our findings is that performance of PCR may be significantly affected by the real-time PCR instrument and must be verified for each platform. On the other hand, the Filovirus Screen kit has been used successfully by others on instruments qualified by altona Diagnostics, with good sensitivity and reliable results [16-18]. A recent study compared different methods analytically and found the Filovirus Screen assay to be comparable in sensitivity to other commercial assays for detection of EBOV; only the Lifetech Lyophilized Ebola Virus (Zaire 2014) kit (Life Technologies) showed better sensitivity than all other commercial kits validated [19]. The analytical sensitivity obtained in this external validation study (1250 EBOV RNA copies/mL) corresponds quite well with the analytical data we present here for recommended cycler types. However, compared to other commercial kits, the Filovirus Screen assay facilitates detection of all human-pathogenic filovirus species and RESTV. We reasoned that performance of the Filovirus Screen kit for EBOV detection could be improved by omitting all primers and probes that are not essential for detection of this particular species. This might reduce undesired cross-reactivity and interference between primers and probes, and therefore it was plausible to assume that sensitivity and specificity increase rather than decrease. From a technical point of view, such modification can be more easily implemented than designing a new assay. Indeed, focusing the kit on EBOV detection improved the signal-to-noise ratio at low RNA concentrations. While the probit analysis could not demonstrate an effect, owing to wide 95% CIs, a small-scale comparison of both RealStar kits in the field indicated somewhat improved sensitivity. Based on these data, it was decided to use the Zaire Ebolavirus kit in the EMLab units, and altona Diagnostics provided the kit as a product for research use only from March 2015 onward. The retrospective clinical evaluation, using samples collected from patients early during EVD, eventually confirmed the improved sensitivity of the Zaire Ebolavirus kit as compared to the source kit. Analytical and clinical data also indicate that replacement of the SmartCycler II by the Rotor-Gene in the field led to a substantial increase in sensitivity. The retrospective testing of early samples from patients with EVD revealed that high sensitivity is important for early diagnosis. While the patients retested here received their diagnosis in the field after analysis of follow-up samples, it might be that other patients who had a false-negative result for the initial sample did not return to the Ebola treatment unit for follow-up and thus escaped detection. Based on currently available data, it is not possible to estimate how many patients with EVD have been missed because of the reduced sensitivity of the SmartCycler II platform. Retesting samples from a representative set of patients with suspected EVD who tested negative and were classified as noncases may provide a clue. Now, highly sensitive technologies are available that can be used for this purpose. In addition, our most sensitive assay did not detect EBOV RNA in the first sample obtained from 13 of 24 patients with EVD. This suggests that, in a fraction of patients with EVD, the virus load is below the limit of detection of standard RT-PCR assays in the first days after onset of symptoms. The fraction of such patients is not known; the 24 cases presented here represent only 0.88% of all suspected cases of EVD tested by EMLab in Guéckédou. The 13 samples that initially tested negative were collected a median period of 4 days after onset, although data on the day of onset data are not reliable, and coinfections, which may obscure the EVD onset, have not been ruled out. In any case, our data reinforce the existing recommendation to monitor and retest patients with suspected EVD for 72 h after onset of symptoms [20].
  16 in total

1.  Detection of all known filovirus species by reverse transcription-polymerase chain reaction using a primer set specific for the viral nucleoprotein gene.

Authors:  Hirohito Ogawa; Hiroko Miyamoto; Hideki Ebihara; Kimihito Ito; Shigeru Morikawa; Heinz Feldmann; Ayato Takada
Journal:  J Virol Methods       Date:  2010-11-17       Impact factor: 2.014

Review 2.  Acute respiratory distress syndrome after convalescent plasma use: treatment of a patient with Ebola virus disease contracted in Madrid, Spain.

Authors:  Marta Mora-Rillo; Marta Arsuaga; Germán Ramírez-Olivencia; Fernando de la Calle; Alberto M Borobia; Paz Sánchez-Seco; Mar Lago; Juan C Figueira; Belén Fernández-Puntero; Aurora Viejo; Anabel Negredo; Concepción Nuñez; Eva Flores; Antonio J Carcas; Victor Jiménez-Yuste; Fátima Lasala; Abelardo García-de-Lorenzo; Francisco Arnalich; Jose R Arribas
Journal:  Lancet Respir Med       Date:  2015-05-31       Impact factor: 30.700

3.  Evaluation of a point-of-care blood test for identification of Ebola virus disease at Ebola holding units, Western Area, Sierra Leone, January to February 2015.

Authors:  N F Walker; C S Brown; D Youkee; P Baker; N Williams; A Kalawa; K Russell; A F Samba; N Bentley; F Koroma; M B King; B E Parker; M Thompson; T Boyles; B Healey; B Kargbo; D Bash-Taqi; A J Simpson; A Kamara; T B Kamara; M Lado; O Johnson; T Brooks
Journal:  Euro Surveill       Date:  2015-03-26

4.  Comprehensive panel of real-time TaqMan polymerase chain reaction assays for detection and absolute quantification of filoviruses, arenaviruses, and New World hantaviruses.

Authors:  Adrienne R Trombley; Leslie Wachter; Jeffrey Garrison; Valerie A Buckley-Beason; Jordan Jahrling; Lisa E Hensley; Randal J Schoepp; David A Norwood; Augustine Goba; Joseph N Fair; David A Kulesh
Journal:  Am J Trop Med Hyg       Date:  2010-05       Impact factor: 2.345

5.  Development and evaluation of a fluorogenic 5' nuclease assay to detect and differentiate between Ebola virus subtypes Zaire and Sudan.

Authors:  T R Gibb; D A Norwood; N Woollen; E A Henchal
Journal:  J Clin Microbiol       Date:  2001-11       Impact factor: 5.948

6.  ReEBOV Antigen Rapid Test kit for point-of-care and laboratory-based testing for Ebola virus disease: a field validation study.

Authors:  Mara Jana Broadhurst; John Daniel Kelly; Ann Miller; Amanda Semper; Daniel Bailey; Elisabetta Groppelli; Andrew Simpson; Tim Brooks; Susan Hula; Wilfred Nyoni; Alhaji B Sankoh; Santigi Kanu; Alhaji Jalloh; Quy Ton; Nicholas Sarchet; Peter George; Mark D Perkins; Betsy Wonderly; Megan Murray; Nira R Pollock
Journal:  Lancet       Date:  2015-06-25       Impact factor: 79.321

7.  Clinical features and viral kinetics in a rapidly cured patient with Ebola virus disease: a case report.

Authors:  Manuel Schibler; Pauline Vetter; Pascal Cherpillod; Tom J Petty; Samuel Cordey; Gaël Vieille; Sabine Yerly; Claire-Anne Siegrist; Kaveh Samii; Julie-Anne Dayer; Mylène Docquier; Evgeny M Zdobnov; Andrew J H Simpson; Paul S C Rees; Felix Baez Sarria; Yvan Gasche; François Chappuis; Anne Iten; Didier Pittet; Jérôme Pugin; Laurent Kaiser
Journal:  Lancet Infect Dis       Date:  2015-07-19       Impact factor: 25.071

Review 8.  The ecology of Ebola virus.

Authors:  Allison Groseth; Heinz Feldmann; James E Strong
Journal:  Trends Microbiol       Date:  2007-08-15       Impact factor: 17.079

9.  Rapid diagnosis of Ebola hemorrhagic fever by reverse transcription-PCR in an outbreak setting and assessment of patient viral load as a predictor of outcome.

Authors:  Jonathan S Towner; Pierre E Rollin; Daniel G Bausch; Anthony Sanchez; Sharon M Crary; Martin Vincent; William F Lee; Christina F Spiropoulou; Thomas G Ksiazek; Mathew Lukwiya; Felix Kaducu; Robert Downing; Stuart T Nichol
Journal:  J Virol       Date:  2004-04       Impact factor: 5.103

10.  Diagnostic reverse-transcription polymerase chain reaction kit for filoviruses based on the strain collections of all European biosafety level 4 laboratories.

Authors:  Marcus Panning; Thomas Laue; Stephan Olschlager; Markus Eickmann; Stephan Becker; Sabine Raith; Marie-Claude Georges Courbot; Mikael Nilsson; Robin Gopal; Ake Lundkvist; Antonino di Caro; David Brown; Hermann Meyer; Graham Lloyd; Beate M Kummerer; Stephan Gunther; Christian Drosten
Journal:  J Infect Dis       Date:  2007-11-15       Impact factor: 5.226

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  13 in total

1.  Simultaneous detection of Marburg virus and Ebola virus with TaqMan-based multiplex real-time PCR method.

Authors:  Zhikang Yu; Heming Wu; Qingyan Huang; Zhixiong Zhong
Journal:  J Clin Lab Anal       Date:  2021-05-03       Impact factor: 2.352

2.  Strengthened Ebola surveillance in France during a major outbreak in West Africa: March 2014-January 2016.

Authors:  A Mailles; H Noel; D Pannetier; C Rapp; Y Yazdanpanah; S Vandentorren; P Chaud; J M Philippe; B Worms; M Bruyand; M Tourdjman; M Nahon; E Belchior; E Lucas; J Durand; M Zurbaran; S Vaux; B Coignard; H DE Valk; S Baize; S Quelet; F Bourdillon
Journal:  Epidemiol Infect       Date:  2017-11-23       Impact factor: 4.434

3.  Analysis of Diagnostic Findings From the European Mobile Laboratory in Guéckédou, Guinea, March 2014 Through March 2015.

Authors:  Romy Kerber; Ralf Krumkamp; Boubacar Diallo; Anna Jaeger; Martin Rudolf; Simone Lanini; Joseph Akoi Bore; Fara Raymond Koundouno; Beate Becker-Ziaja; Erna Fleischmann; Kilian Stoecker; Silvia Meschi; Stéphane Mély; Edmund N C Newman; Fabrizio Carletti; Jasmine Portmann; Misa Korva; Svenja Wolff; Peter Molkenthin; Zoltan Kis; Anne Kelterbaum; Anne Bocquin; Thomas Strecker; Alexandra Fizet; Concetta Castilletti; Gordian Schudt; Lisa Ottowell; Andreas Kurth; Barry Atkinson; Marlis Badusche; Angela Cannas; Elisa Pallasch; Andrew Bosworth; Constanze Yue; Bernadett Pályi; Heinz Ellerbrok; Claudia Kohl; Lisa Oestereich; Christopher H Logue; Anja Lüdtke; Martin Richter; Didier Ngabo; Benny Borremans; Dirk Becker; Sophie Gryseels; Saïd Abdellati; Tine Vermoesen; Eeva Kuisma; Annette Kraus; Britta Liedigk; Piet Maes; Ruth Thom; Sophie Duraffour; Sandra Diederich; Julia Hinzmann; Babak Afrough; Johanna Repits; Marc Mertens; Inês Vitoriano; Amadou Bah; Andreas Sachse; Jan Peter Boettcher; Stephanie Wurr; Sabrina Bockholt; Andreas Nitsche; Tatjana Avšič Županc; Marc Strasser; Giuseppe Ippolito; Stephan Becker; Herve Raoul; Miles W Carroll; Hilde De Clerck; Michel Van Herp; Armand Sprecher; Lamine Koivogui; N'Faly Magassouba; Sakoba Keïta; Patrick Drury; Cèline Gurry; Pierre Formenty; Jürgen May; Martin Gabriel; Roman Wölfel; Stephan Günther; Antonino Di Caro
Journal:  J Infect Dis       Date:  2016-09-16       Impact factor: 5.226

4.  Responding to ever-changing epidemiological dynamics of Ebola virus disease.

Authors:  Yuki Maehira; Yohei Kurosaki; Tomoya Saito; Jiro Yasuda; Masayoshi Tarui; Denis J M Malvy; Tsutomu Takeuchi
Journal:  BMJ Glob Health       Date:  2016-11-24

Review 5.  The current landscape of nucleic acid tests for filovirus detection.

Authors:  David J Clark; John Tyson; Andrew D Sails; Sanjeev Krishna; Henry M Staines
Journal:  J Clin Virol       Date:  2018-03-22       Impact factor: 3.168

6.  Laboratory Findings, Compassionate Use of Favipiravir, and Outcome in Patients With Ebola Virus Disease, Guinea, 2015-A Retrospective Observational Study.

Authors:  Romy Kerber; Eva Lorenz; Sophie Duraffour; Daouda Sissoko; Martin Rudolf; Anna Jaeger; Sekou Ditinn Cisse; Alseny-Modet Camara; Osvaldo Miranda; Carlos M Castro; Joseph Akoi Bore; Fara Raymond Koundouno; Johanna Repits; Babak Afrough; Beate Becker-Ziaja; Julia Hinzmann; Marc Mertens; Ines Vitoriano; Christopher Hugh Logue; Jan-Peter Böttcher; Elisa Pallasch; Andreas Sachse; Amadou Bah; Mar Cabeza-Cabrerizo; Katja Nitzsche; Eeva Kuisma; Janine Michel; Tobias Holm; Elsa Gayle Zekeng; Lauren A Cowley; Isabel Garcia-Dorival; Nicole Hetzelt; Jonathan Hans Josef Baum; Jasmine Portmann; Lisa Carter; Rahel Lemma Yenamaberhan; Alvaro Camino; Theresa Enkirch; Katrin Singethan; Sarah Meisel; Antonio Mazzarelli; Abigail Kosgei; Liana Kafetzopoulou; Natasha Y Rickett; Livia Victoria Patrono; Luam Ghebreghiorghis; Ulrike Arnold; Géraldine Colin; Sylvain Juchet; Claire Levy Marchal; Jacques Seraphin Kolie; Abdoul Habib Beavogui; Stephanie Wurr; Sabrina Bockholt; Ralf Krumkamp; Jürgen May; Kilian Stoecker; Erna Fleischmann; Giuseppe Ippolito; Miles W Carroll; Lamine Koivogui; N'Faly Magassouba; Sakoba Keita; Céline Gurry; Patrick Drury; Boubacar Diallo; Pierre Formenty; Roman Wölfel; Antonino Di Caro; Martin Gabriel; Xavier Anglaret; Denis Malvy; Stephan Günther
Journal:  J Infect Dis       Date:  2019-06-19       Impact factor: 5.226

7.  Development and Evaluation of a Duo Zaire ebolavirus Real-Time RT-PCR Assay Targeting Two Regions within the Genome.

Authors:  Laurence Thirion; Remi N Charrel; Yannik Boehmann; Iban Corcostegui; Hervé Raoul; Xavier de Lamballerie
Journal:  Microorganisms       Date:  2019-12-04

8.  Ebola Virus Persistence in Breast Milk After No Reported Illness: A Likely Source of Virus Transmission From Mother to Child.

Authors:  Daouda Sissoko; Mory Keïta; Boubacar Diallo; Negar Aliabadi; David L Fitter; Benjamin A Dahl; Joseph Akoi Bore; Fara Raymond Koundouno; Katrin Singethan; Sarah Meisel; Theresa Enkirch; Antonio Mazzarelli; Victoria Amburgey; Ousmane Faye; Amadou Alpha Sall; N'Faly Magassouba; Miles W Carroll; Xavier Anglaret; Denis Malvy; Pierre Formenty; Raymond Bruce Aylward; Sakoba Keïta; Mamoudou Harouna Djingarey; Nicholas J Loman; Stephan Günther; Sophie Duraffour
Journal:  Clin Infect Dis       Date:  2017-02-15       Impact factor: 9.079

9.  Status, quality and specific needs of Ebola virus diagnostic capacity and capability in laboratories of the two European preparedness laboratory networks EMERGE and EVD-LabNet.

Authors:  Chantal B Reusken; Ramona Mögling; Pieter W Smit; Roland Grunow; Giuseppe Ippolito; Antonino Di Caro; Marion Koopmans
Journal:  Euro Surveill       Date:  2018-05

10.  Public Health Program for Decreasing Risk for Ebola Virus Disease Resurgence from Survivors of the 2013-2016 Outbreak, Guinea.

Authors:  Mory Keita; Sakoba Keita; Boubacar Diallo; Momo Camara; Samuel Mesfin; Koumpingnin Yacouba Nebie; N'Faly Magassouba; Seydou Coulibaly; Boubacar Barry; Mamadou Oury Baldé; Raymond Pallawo; Sadou Sow; Amadou Bailo Diallo; Pierre Formenty; Mamoudou Harouna Djingarey; Ibrahima Socé Fall; Lorenzo Subissi
Journal:  Emerg Infect Dis       Date:  2020-02       Impact factor: 6.883

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