Literature DB >> 22312344

Internally controlled, generic real-time PCR for quantification and multiplex real-time PCR with serotype-specific probes for serotyping of dengue virus infections.

Sandra Menting1, Khoa T D Thai, Tran T T Nga, Hoang L Phuong, Paul Klatser, Katja C Wolthers, Tran Q Binh, Peter J de Vries, Marcel Beld.   

Abstract

Dengue has become a global public health problem and a sensitive diagnostic test for early phase detection can be life saving. An internally controlled, generic real-time PCR was developed and validated by testing serial dilutions of a DENV positive control RNA in the presence of a fixed amount of IC with results showing a good linearity (R(2) = 0.9967) and a LOD of at least 1.95 × 10(4) copies/mL. Application of the generic PCR on 136 patient samples revealed a sensitivity of 95.8% and specificity of 100%. A newly developed multiplex real-time PCR with serotype-specific probes allowed the serotyping of DENV for 80 out of 92 (87%) generic real-time PCR positive patients. Combined these real-time PCRs offer a convenient diagnostic tool for the sensitive and specific quantification of DENV in clinical specimens with the possibility for serotyping.

Entities:  

Year:  2011        PMID: 22312344      PMCID: PMC3263855          DOI: 10.1155/2011/514681

Source DB:  PubMed          Journal:  Adv Virol        ISSN: 1687-8639


1. Introduction

Mosquito-borne flavivirus infections such as dengue have rapidly spread and are the most significant and dreaded infectious diseases in the world, in terms of morbidity and mortality [1, 2]. Recent estimates indicate that over 3.5 billion people (∼55%) of the world population live in areas at risk for dengue [3]. Worldwide there are 50–100 million cases of dengue infections per year, which result in 25,000 deaths. Dengue has become a major international public health problem due to the expanding geographic distribution of the vector in tropical and subtropical countries [1]. Increased international travel accompanied with increasing transmission or re-emergence and changing epidemiology of dengue in various (sub) tropical countries contribute to a steady rise in confirmed dengue among ill-returned travelers [4]. Dengue is caused by an RNA virus (DENV). DENV is primarily transmitted through bites of the infected Aedes aegypti mosquito vector. The majority of DENV infections, with any of the four different virus serotypes (DENV-1, DENV-2, DENV-3, and DENV-4), are mildly asymptomatic and often difficult to recognize in the early phase of infection because signs and symptoms are nonspecific and resemble other febrile illnesses. Only a small number of DENV infections (~5%) will result in severe forms of the disease [5, 6]. The most used diagnostic tools for confirmation of DENV infections are based on detection of antibodies (Ab) or, recently, NS1 antigen (Ag) detection [7]. However, both Ab and Ag detection methods do not distinguish the respective DENV serotypes. Tests based on detection and serotyping of dengue virus offer the possibility to look better at the association between complications of the life threatening DHF and DSS, serotype, and sequential infections [8, 9]. Other real-time PCR assays for DENV infections are based upon type-specific primers but all without internal control (IC) [8, 10, 11]. For reliable detection and to rule out false negative results the use of an IC is essential [12]. Serotyping of DENV is important because the lack of cross-reactive immunity for the four different DENV serotypes may lead to a life threatening complication [9]. In this study we developed and validated an internally controlled generic real-time PCR for detection and quantification of all known DENV serotypes and a multiplex PCR for discrimination of serotypes based upon serotype-specific probes.

2. Materials and Methods

2.1. Primers and Probes

All known complete genome sequences of DENV found in GenBank were aligned using Vector NTI Advance version 10 and ClustalW. The generic primer pair used for amplification of DENV and of DENV-1 in vitro RNA for use as positive control (DENV in vitro RNA) is located in the 3′-UTR region. The DENV generic primers, the primers of the noncompetitive internal control RNA (IC) (MS2 RNA; Roche Diagnostics), and the probes sequences for amplification and detection are listed in Table 1. The specific MS2 RNA primers, probe, and characteristics were designed by us. All primers, probes, and linkers were obtained from Biolegio (Biolegio, Nijmegen, The Netherlands).
Table 1

Primers and fluorescence-labeled probes of DENV and noncompetitive IC (MS2 RNA).

Primer or probe Sequence (5′–3′)5′ reporter3′ quencher
DENV-F (10546)-generic GGTTAGAGGAGACCCCTCCC
DENV-R (10711)-generic GAGACAGCAGGATCTCTGGTCT
MS2-F CATAAGTTAGATGGCCGTCTGT
MS2-R TAGAGACGACAACCATGCCAAAC
DENV-generic-MGB probe AAACAGCATATTGACGCTGGGA FAMBHQ1
MS2 probe TCCAGACAACGTGCAACATATCGCGACGTATCGTGATATGG HEXBHQ1
DENV-1-MGB probe AACACCATGGGAAGCTGTACCCTG FAMBHQ1
DENV-2-MGB probe GAGATGAAGCTGTAGTCTCACTGG HEXBHQ1
DENV-3-MGB probe TGAGGGAAGCTGTACCTCCTTGCA Texas RedBHQ2
DENV-4-MGB probe CCCGAAGCCAGGAGGAAGCTGTACTCC CY5BHQ2

Nucleotide numbering for generic primers DENV-F and -R is relative to DENV-1 (reference strain AF226685).

F: forward primer; R: reverse primer; MGB: minor groove binding; BHQ1 or 2: black hole quencher 1 or 2.

2.2. Construction of the DENV-1 In Vitro RNA Positive Control (DENV In Vitro RNA)

For the construction of DENV in vitro RNA two linkers were designed, named DENV-hyb-1 and DENV-hyb-2. The sequence of DENV-hyb-1 is (DENV generic primers sequences are in Italic) 5′-GGTTAGAGGAGACCCCTCCCAAGTCACAACGCAGCAGCGGGGCCCAACACCAGGGGAAGCTGTACCCTGGTGGTAAGGACTAGAGGTTAGAGGAGACCCCCCGCGCAACAATAAACAGCATATTGACGCTGGGAGAGACCAGAGATCCTGCTGTCTC-3′ and of DENV-hyb-2 is 5′-GAGACAGCAGGATCTCTGGTCTCTCCCAGCGTCAATATGCTGTTTATTGTTGCGCGGGGGGTCTCCTCTAACCTCTAGTCCTTACCACCAGGGTACAGCTTCCCCTGGTGTTGGGCCCCGCTGCTGCGTTGTGACTTGGGAGGGGTCTCCTCTAACC-3′. DENV in vitro RNA was constructed as described earlier [12, 13].

2.3. RNA Quantification

The DENV in vitro RNA and MS2 RNA were quantified by measuring the optical density at 260 nm. Serial dilutions of the RNAs were stored at −70°C until use.

2.4. Nucleic Acid Extraction, cDNA, and Generic Real-Time PCR

DENV in vitro RNA and the 136 patient samples were extracted in the presence of a fixed amount of IC and cDNA was made. The IC was spiked before extraction into lysis buffer containing the sample. The extraction of nucleic acids (NA) was performed on 200 μL serum or plasma sample and 5 μL IC and eluted in 100 μL TE-buffer [14]. 80 μL of the NA extract was used for cDNA synthesis (RT-reaction) as earlier described [12] using random primers (Roche Diagnostics) and the cDNA products were stored at −20°C. For the preparation of cDNA of DENV in vitro RNA the DENV in vitro RNA and IC were spiked into the lysis buffer containing DENV negative human serum before extraction. The generic PCR mix contained 12.5 μL of 2x Probes Master Mix (Roche Diagnostics), 500 nM of primer (each), 300 nM of DENV-generic-MGB probe and 100 nM of MS2 probe, and 10 μL of cDNA (corresponding to 1/12.5 of extraction) in a 25 μL volume. PCR reactions were performed in Bio-Rad iQ5 real-time machine (Bio-Rad), as followed: 10 minutes at 50°C and 10 minutes at 95°C, followed by 45 cycles of 20 s at 95°C, and 1 minute at 60°C for annealing and extension. Data were analyzed using the Bio-Rad iQ5 software version 2.1 (Bio-Rad). A patient sample was considered positive in the generic PCR if the Cq value was below 40. The negative results were truly negative if the IC was detected in the samples. Otherwise the sample was considered to be unsuitable for analysis and the PCR was repeated for a new extraction.

2.5. Serology

Antibodies against DENV were measured using DENV IgM and IgG Capture ELISA (PANBIO) and by the method earlier described by Tran et al. [15].

2.6. Clinical Samples

Samples (serum or plasma) from 109 patients with an antibody positive dengue serology and 27 with an antibody negative dengue serology were included. The 109 patients with an anti-DENV positive serology stratified in 26 patients with a primary DENV infection and 83 patients with a secondary DENV infection. The 136 patients could be further divided into 3 groups: 46 ill-returned travelers (21 primary infections, 16 secondary infections, and 9 antibodies negative) [16], 72 patients from Vietnam (5 primary infections and 67 secondary infections), [17] and 18 patients from whom 16 patients were antibody and PCR positive for hepatitis C (HCV) and 2 patients were antibody and PCR positive for hepatitis A (HAV). The 118 of 136 patients (46 ill returned travellers and 72 patients from Vietnam) were tested by our generic PCR and previous by the earlier described type-specific primer PCR [11]. The 18 patients with HCV or HAV were tested only in our generic PCR.

2.7. Serotyping by SYBR-Green

The SYBR Green reactions were performed in the Bio-Rad iQ5 real-time machine (Bio-Rad) using the cDNA (10 μL) in a 25 μL volume consisting of 12.5 μL of iQ SYBR Green Supermix (Bio-Rad), 500 nM generic DENV primer pair. For amplification the following PCR program was used: 10 minutes at 95°C, followed by 45 cycles of 20 s at 95°C, and 1 minute at 60°C for annealing and extension. The melting temperature (T ) curve analysis was performed following the amplification and included one cycle of denaturation at 95°C for 1 minute, followed by 60°C for 1 minute and a ramp to 95°C at a rate of 0.1°C with continuous fluorescence measurement, using the iQ5 real-time PCR machine, and the data were analyzed using Bio-Rad software version 2.1 (Bio-Rad).

2.8. Serotyping in a Multiplex Real-Time PCR Assay

Serotypes were determined using the generic DENV primer pair and 4 different serotype-specific DENV-probes in one multiplex PCR reaction. Multiplex PCR reactions were performed as described for the generic PCR with 500 nM of DENV primer (each) and 300 nM of each serotype-specific DENV-probe 1–4 (Table 1).

2.9. Statistical Analysis

Statistical analyses were performed using SPSS software for windows (version 16.0). Frequencies, means, or medians were calculated to describe background variables. Agreement was expressed by Cohen's kappa value. The type-specific primer PCR by Laue et al. was used as gold standard for calculation of sensitivity and specificity of our assays [11].

3. Results

3.1. Determination of the Dynamic Range of the Internally Controlled, Generic Real-Time PCR for DENV

For reliable detection and to rule out false negative results an IC was used throughout the whole process of extraction, cDNA synthesis, and PCR reaction. To determine the dynamic range of the internal control the extraction, cDNA synthesis, and PCR procedure were performed on serial dilutions of IC spiked into the lysis buffer containing negative serum. Limiting dilution results for the IC revealed a detection limit of 10 copies/PCR with a 100% hit rate (Table 2). However, for reliable detection of the IC in a duplex assay an input corresponding to 500 copies IC/PCR was chosen which had no influence on the detection limit of DENV in vitro RNA (results not shown). In subsequent experiments a fixed amount of 6.25 × 103 IC copies was spiked in the lysis buffer prior to extraction and cDNA synthesis. The IC showed good stable Cq-values (mean Cq-value of 33.34) during the validation.
Table 2

Dynamic range of ICa.

IC copies in extractionIC copies in RTIC copies in PCRb Number positives IC (%; mean Cq-value & SD)
1.25 × 107 107 106 4/4 (100%; 20.74; 0.23)
1.25 × 106 106 105 4/4 (100%; 24.80; 0.43)
1.25 × 105 105 104 4/4 (100%; 27.92; 0.48)
1.25 × 104 104 103 4/4 (100%; 32.08; 0.71)
1.25 × 103 103 102 4/4 (100%; 34.53; 0.56)
1.25 × 102 102 101 4/4 (100%; 36.93; 0.72)
0000/4

aThe dynamic range was determined on 10-fold serial dilution of IC spiked into lysis buffer containing DENV negative human serum as background with 4 replicates for each dilution.

bNumber of copies cDNA/PCR has been calculated as 1/12.5 of the extracted RNA, assuming 100% efficiency in extraction, reverse transcription (RT), and PCR.

SD: standard deviation.

To determine the dynamic range of the generic PCR, we spiked 10-fold serial dilutions of DENV in vitro RNA together with a fixed amount of IC into lysis buffer containing DENV negative serum prior to extraction and cDNA synthesis. Subsequently 10 μL of the cDNA was used in PCR. Limiting dilution of DENV in vitro RNA resulted in a quantitative detection limit of 103 copies/PCR with a 66.7% hit-rate (Table 3) and a regression coefficient of 0.9967 with a dynamic range of 6.25 × 103–6.25 × 107 copies/mL (Figure 1).
Table 3

Dynamic range of generic real-time PCRa.

DENV in vitro RNA copies in extractionDENV in vitro RNA copies in RTDENV in vitro RNA copies in PCRb IC copies in PCRb Number positives DENV in vitro RNA (%; mean Cq-value: SD) Number positives IC (%; mean Cq-value: S.D)
1.25 × 107 107 106 50012/12 (100%; 26.59; 0.54)12/12 (100%; 35.82; 1.08)
1.25 × 106 106 105 50012/12 (100%; 30.59; 0.46)12/12 (100%; 32.67; 0.79)
1.25 × 105 105 104 50012/12 (100%; 34.35; 1.09)12/12 (100%; 32.97; 0.74)
1.25 × 104 104 103 5008/12 (66.7%; 37.22; 0.73)12/12 (100%; 33.73; 0.63)
1.25 × 103 103 102 5001/12 (8%; 40.71)12/12 (100%; 32.24; 0.60)
00000/120/12

aThe dynamic range of the generic PCR was determined on 10-fold dilution series of DENV in vitro RNA in the presence of a fixed amount of IC spiked into lysis buffer containing DENV negative human serum as background and for 12 replicates per dilution.

bNumber of copies cDNA/PCR has been calculated as 1/12.5 of the extracted RNA. assuming 100% efficiency in extraction, reverse transcription (RT), and PCR.

SD: standard deviation.

Figure 1

The dynamic range of generic of PCR. Mean Cq-values of twelve replicates per each 10-fold dilutions of DENV in vitro RNA extracted with a fixed amount of 6.25 × 103 IC copies in extraction in the back ground of DENV negative serum and tested in generic real-time PCR resulting in a dynamic range of 6.25 × 103–6.25 × 107 copies/mL of DENV in vitro RNA with a regression coefficient of 0.9967.

3.2. Determination of the Lower Limit of Detection (LOD)

To determine the LOD of the generic PCR assay 2-fold serial dilutions of DENV in vitro RNA were performed with 20 replicates per dilution with fixed amount of IC in the background of DENV negative human serum each separately spiked in the lysis buffer prior to extraction. The LOD for DENV in vitro RNA was at least 312 copies/PCR corresponding to 1.95 × 104 copies/mL (Table 4).
Table 4

LOD of the generic real-time PCRa.

DENV in vitro RNA copies in PCRa IC copies in PCRb Number positive DENV in vitro RNA (%; mean Cq-value: SD)Number positive IC (%; mean Cq-value: SD)
250050020/20 (100%; 35.98; 0.99)20/20 (100%; 33.43; 0.65)
125050012/20 (60%; 36.96; 1.13)20/20 (100%; 32.84; 0.53)
100050010/20 (50%; 37.33; 0.94)20/20 (100%; 33.66; 0.53)
6255008/20 (40%; 38.72; 1.82)20/20 (100%; 32.61; 0.59)
3125005/20 (25%; 39.17; 2.67)20/20 (100%; 32.69; 0.34)
000/200/20

aLOD of the generic PCR was determined by 2-fold dilution series with 20 replicates per dilution of DENV in vitro RNA in the presence of a fixed amount of IC spiked into lysis buffer containing DENV negative human serum as background.

bnumber of copies cDNA/PCR has been calculated as 1/12.5 of the extracted RNA, assuming 100% efficiency in extraction, reverse transcription (RT) and PCR.

LOD: lower limit of detection; SD: standard deviation.

3.3. Intra- and Inter-Assay Variation

The intra- and inter-assay variation was measured in four replicates per dilution of 10-fold dilution series with fixed amount of IC in a background of DENV negative serum: For intra-assay variation determined in three runs performed at one day (results not shown) and for inter-assay variation performed in three 3 runs over 3 consecutive days. The assay variation showed stable Cq-values for the IC and each serial dilution of DENV in vitro RNA (Table 5).
Table 5

Inter-assay variation of generic real-time PCRa.

Run and DENV in vitro RNA copies in PCRa IC copies in PCRb Number positive DENV in vitro RNA (%; mean Cq-value: SD)Number positive IC (%; mean Cq-value: SD)SD between the 3 runs
Run 1
106 5004/4 (100%; 26.28; 0.43)4/4 (100%; 36.21; 1.21)0.27
105 5004/4 (100%; 30.40; 0.39)4/4 (100%; 33.10; 1.37)0.35
104 5004/4 (100%; 33.78; 0.38)4/4 (100%; 32.17; 0.30)0.22
103 5002/4 (50%; 36.99; 0.37)4/4 (100%; 33.64; 0.29)0.65
102 5000/44/4 (100%; 32.47; 0.20)
000/40/4

Run 2
106 5004/4 (100%; 26.71; 0.56)4/4 (100%; 36.11; 0.84)0.27
105 5004/4 (100%; 30.35; 0.19)4/4 (100%; 32.66; 0.65)0.35
104 5004/4 (100%; 34.31; 0.64)4/4 (100%; 33.32; 0.39)0.22
103 5003/4 (75%; 37.08; 0.86)4/4 (100%; 33.64; 0.92)0.65
102 5001/4 (25%; 37.83)4/4 (100%; 32.73; 1.09)
000/40/4

Run 3
106 5004/4 (100%; 26.79; 0.60)4/4 (100%; 35.13; 1.06) 0.27
105 5004/4 (100%; 30.98; 0.50)4/4 (100%; 32.47; 0.10)0.35
104 5004/4 (100%; 34.27; 0.78)4/4 (100%; 33.24; 0.54)0.22
103 5001/4 (25%; 38.17)4/4 (100%; 33.91; 0.67)0.65
102 5000/44/4 (100%; 32.59; 0.23)
000/40/4

aThe inter-assay variation was determined with 10-fold dilution series of DENV in vitro RNA in the presence of a fixed amount of IC spiked into lysis buffer containing DENV negative human serum as background and for 4 replicates per each dilution. The variation was determined in three separate runs performed at three different days.

bNumber of copies cDNA/PCR has been calculated as 1/12.5 of the extracted RNA, assuming 100% efficiency in extraction, reverse transcription (RT), and PCR.

SD: standard deviation.

3.4. Testing of Clinical Samples

A fixed amount of IC (5 μL) and 200 μL of the patient sample were added to the lysis buffer prior to extraction and cDNA synthesis. Overall, the generic PCR showed a sensitivity of 95.8% and a specificity of 100% (Table 6). All patient samples with detected IC and DENV negative were truly negative. Just four patient samples that tested positive in the type-specific primer PCR tested negative in the generic PCR. The patient samples had been tested earlier by the type-specific primer PCR [16, 17] and the extra freeze-thaw steps may have affected the quality of the RNA in these four samples that showed already a high Cq-value close to 37 or higher in the type-specific primer PCR. A lower percentage (62.2%) of the anti-DENV positive ill-returned travelers had a positive test result in the generic PCR compared with the anti-DENV positive Vietnamese patients (95.8%) which correlates with the longer duration of illness in the ill-returned travelers before seeing a clinician (Table 6).
Table 6

Summary of patient characteristics and sensitivity and specificity of PCR assays.

Patient characteristics and test parametersVietnamese patients with DENVIll-returned travelers with DENVOther causes of fever in travelersPatients positive for
Primary infectionSecondary infectionPrimary infectionSecondary infectionOFIHCV/HAVTotal
Patients (n)56721169(18)d 136
Age; median (range)10.9 (6.6–12.8)18.9 (5.6–53.1)38.7 (17.4–62.6)33.2 (24.6–73.6)39.5 (26.3–64.0)unknown26.3 (6.6–73.6)
Sex (M/F)3/248/199/126/106/3unknown72/46
Days of illness at presentation; median (range)1 (1-1)1 (1–4)6 (1–12)8.5 (4–22)2 (1–22)
Days of DENV viremia; median (range)1 (1-1)1 (1–4)4 (1–11)7 (4–9)1 (1–11)
Patients (n) with a positive result in
 Type-specific PCRa 5661690ND96
 Generic PCRb 3661580092
 Multiplex PCRc 3631130ND80
Assay characteristics of Generic PCR
 Sensitivity; % (95% CI)60.0 (23.1–88.2)100.0 (94.5–100.0)93.8 (71.7–99.0)88.9 (56.5–98.0)95.8 (89.8–98.4)
κ-value0.7361.0000.9440.924 0.846
 Specificity; % 100.0100.0100.0

aThe results were earlier generated by the type-specific primer PCR according to according Laue et al. [11, 16, 17].

bInternally controlled generic real-time PCR for DENV.

cMultiplex PCR with type-specific probes was only done on samples with a positive generic PCRbresult.

d16 patients were antibody and PCR positive for HCV and 2 patients were antibody and PCR positive for HAV.

OFI: other febrile illness; HCV: hepatitis C virus; HAV: hepatitis A virus; M: male; F: female; 95% CI: 95% confidence interval, ND: not done.

3.5. Serotyping by SYBR-Green

Since the SYBR-green real-time PCR requires no type-specific primers or probes, results can be obtained with one real-time PCR program for the detection of the specific melting curve (T ). We used the cDNA from a panel of patients which were known to be infected with DENV serotype 1 to 4 and who tested previously positive in our generic PCR. The T curves however for DENV-1, DENV-2, DENV-3, and DENV 4 were too close to each other (84.90°C, 83.60°C, 85.80°C, and 84.70°C) to enable discrimination between all four serotypes. Also, differences in the viral loads influenced melting temperatures make serotyping of DENV by SYBR-green PCR unreliable (results not shown).

3.6. Serotyping by Multiplex Real-Time PCR with Serotype-Specific Probes

The multiplex PCR with serotype-specific probes was only applied on the cDNAs from the 92 patient samples which had a positive test result in the generic PCR. The DENV serotype from these samples was previously determined using the type-specific primer PCR (Table 7) and was tested blindly in our multiplex PCR. The generic PCR detected all 4 DENV serotypes. The multiplex PCR with the type-specific probes correctly identified the DENV serotype in 80 out of the 92 (87%) patient samples. These 12 patient samples which could not be serotyped in our multiplex assay had Cq-values close to 38 or higher in the generic PCR. In three patient samples an infection by two serotypes was detected with the type-specific primer PCR, whereas by the multiplex PCR with serotype-specific probes an infection by two serotypes was detected in seven out of the 80 patient samples (Table 7). The viremia levels in first serotype were higher than in the second serotype.
Table 7

Serotyping by multiplex real-time PCR with serotype-specific probes.

SerotypeNo. of patients positive in the following assays No. of infections by two serotypes detected by the following assays (DENV serotypes in infections)c
Type-specific PCRa Generic PCRMultiplex PCRb Type-specific PCRa Multiplex PCRb
139Pos (39)303 (1 + 2)4 (1 + 4)
219Pos (19)1701 (2 + 1)
33Pos (3)201 (3 + 4)
431Pos (31)3101 (4 + 2)
total92928037

Pos: generic PCR can make no distinction between the serotypes.

aThe results were earlier generated by the type-specific primer PCR according to Laue et al. [11, 16, 17].

bMultiplex real-time PCR with serotype-specific probes was only done on positive generic PCR results.

cA DENV infection by two serotypes has been assigned to the serotype which signal came up first and showed the highest viral load of the two.

4. Discussion

DENV infections have become a major international public health problem due to the increasing geographic distribution of the vector [1], the increased international travel accompanied with increasing confirmed DENV infection among ill-returned travelers [4], and the lack of cross-reactive immunity for the four different DENV serotypes and hyperendemic circulation of the four serotypes in the same regions. These all are factors that play a significant role in the threat posed by DENV. An inherent problem in real-time PCR is the presence of amplification inhibitors which may cause false-negative results. MS2 RNA is an ideal “noncompetitive” internal control for use as a process control which have already been proven by other studies. MS2 RNA is commercially available for any user, and the RNA is a stable, noninfectious and absent from human clinical samples, and is a noncompetitive control which does not react with the selected primers and probe for DENV. Our generic real-time PCR assay was capable to amplify the four known serotypes in one PCR reaction and showed a good linearity (R 2 = 0.9967) with a dynamic range of 6.25 × 103–6.25 × 107 copies/mL and a LOD of at least 1.95 × 104 copies/mL. The intra- and inter-assay variation showed stable Cq-values (SD < 0.70) for each 10-fold serial dilution for DENV in vitro RNA. A viral load of 6.25 × 103 copies/mL can still be detected with certainty at a Cq-value of 40 in our generic PCR in 8% of the cases (Table 3). Therefore, a patient sample was considered positive in the generic PCR if the Cq-value was below 40. The DENV generic primers and the various probes are based on a highly conserved region in the 3′-UTR of DENV (Figure 2). DENV genetic diversity and quasi-species could contribute to PCR accuracy as has been shown for HCV, another member of the family of Flaviviruses. However, the variation and the proportion of biological variants are very low in DENV (unpublished data). The target of the described DENV PCR is very small (157 bp) and we cannot describe quasi-species—like in, for example, HCV, and moreover there is no external selection pressure like DENV-specific antivirals or a vaccine affecting the sequence of the amplicon we used for detection of DENV.
Figure 2

Multiple sequence alignments of DENV 3′UTR region deduced from complete genome sequences of dengue serotypes 1–4 (DENV 1–4) obtained from GenBank showing primers and probes sequences used in generic and/or multiplex real-time PCR with serotype-specific probes for detection of DENV in vitro RNA and DENV in patient samples.

The comparison between the described generic real-time PCR and the earlier described type-specific primer PCR using 118 patient samples showed an excellent concordance between the two assays with a sensitivity of 95.8% and specificity of 100% [11]. The patient samples that were not detected in our generic PCR were quantified with a very low viral load (about 4.16 × 104 copies/mL) in the type-specific primer PCR. The extra freeze-thaw steps caused by using the same sample tube for serological tests, for the type-specific primer PCR assay, and for our generic PCR assay may lead to degradation of DENV RNA by RNases in the sample. Patient samples may be divided into aliquots to minimize the effect of freeze-thawing. We tried the SYBR-green real-time PCR for serotyping because it is less expensive and easier to perform compared to type-specific primers or probes assays. The SYBR-green assay results showed that both the viral load and the close similarity between the four serotypes influenced the melting temperatures of each serotype (data not shown), making it difficult to obtain reliable results, which were also seen in previous studies [10, 18]. Therefore, we developed a multiplex real-time PCR assay using four serotype-specific probes in one PCR reaction which showed reliable results to discriminate between the 4 DENV serotypes in patient samples. We were able to differentiate between the serotypes in 80 out of 92 patient samples, which had positive generic PCR result, with the multiplex assay (sensitivity of 87%), and 7 coinfections with two serotypes were found. The 12 patient samples which could not be serotyped had Cq-values close to 38 or higher in the generic PCR which was probably due to the differences in sensitivity between the generic and multiplex PCR and competition within the multiplex PCR. A total of 109 patients had positive antibodies against DENV and 92 patients were positive in our generic PCR. This difference may be explained by the relatively high median days of ill-returned travelers after onset of symptoms before visiting a clinician and multiple freeze-thaw steps. The ill-returned travelers which had a negative PCR result but positive antibodies against DENV visited a clinician after a median of 6 days (primary infection; range 1 to 12 days) and 8.5 days (secondary infection; range 4 to 22 days) of illness and possibly the antibodies had emerged after DENV had already disappeared from the blood. It has been postulated that DENV can be detected approximately until 5 days after onset of symptoms by PCR, regardless of the serotype [11]. Our study describes a specific, sensitive, and internally controlled generic real-time PCR assay for early detection of DENV and the possibility for serotyping by multiplexing. Screening patients with the internally controlled, generic PCR assay for DENV and applying the multiplex PCR assay for typing only on positive sample will be more cost-effective than performing a typing PCR on all samples. Many of the published multiplex assays use mixtures of serotype type-specific primers and probes which makes the assay less sensitive and more expensive [10]. Other multiplex PCRs are not genuine multiplex PCR assays because they consist of two separate duplex PCR assays, each with a probe pair for DENV 1–3 or DENV 2–4 [18]. The described assays are an important complementary tool for diagnosis of DENV in patients in the early phase of disease.
  15 in total

1.  Rapid and simple method for purification of nucleic acids.

Authors:  R Boom; C J Sol; M M Salimans; C L Jansen; P M Wertheim-van Dillen; J van der Noordaa
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2.  Dengue: setting the global research agenda.

Authors:  Axel Kroeger; Michael B Nathan
Journal:  Lancet       Date:  2006-12-23       Impact factor: 79.321

3.  Simultaneous detection and quantitation of Chikungunya, dengue and West Nile viruses by multiplex RT-PCR assays and dengue virus typing using high resolution melting.

Authors:  F Naze; K Le Roux; I Schuffenecker; H Zeller; F Staikowsky; P Grivard; A Michault; P Laurent
Journal:  J Virol Methods       Date:  2009-03-17       Impact factor: 2.014

4.  A prospective study of dengue infections in Bangkok.

Authors:  D S Burke; A Nisalak; D E Johnson; R M Scott
Journal:  Am J Trop Med Hyg       Date:  1988-01       Impact factor: 2.345

5.  Detection of dengue virus RNA in patients after primary or secondary dengue infection by using the TaqMan automated amplification system.

Authors:  T Laue; P Emmerich; H Schmitz
Journal:  J Clin Microbiol       Date:  1999-08       Impact factor: 5.948

6.  Development of real-time reverse transcriptase PCR assays to detect and serotype dengue viruses.

Authors:  Li-Jung Chien; Tsai-Ling Liao; Pei-Yun Shu; Jyh-Hsiung Huang; Duane J Gubler; Gwong-Jen J Chang
Journal:  J Clin Microbiol       Date:  2006-04       Impact factor: 5.948

7.  Development and validation of real-time one-step reverse transcription-PCR for the detection and typing of dengue viruses.

Authors:  Isabelle Leparc-Goffart; Meili Baragatti; Sarah Temmam; Anne Tuiskunen; Gregory Moureau; Rémi Charrel; Xavier de Lamballerie
Journal:  J Clin Virol       Date:  2009-04-03       Impact factor: 3.168

8.  Seasonality, annual trends, and characteristics of dengue among ill returned travelers, 1997-2006.

Authors:  Eli Schwartz; Leisa H Weld; Annelies Wilder-Smith; Frank von Sonnenburg; Jay S Keystone; Kevin C Kain; Joseph Torresi; David O Freedman
Journal:  Emerg Infect Dis       Date:  2008-07       Impact factor: 6.883

9.  Enzyme-linked immunoassay for dengue virus IgM and IgG antibodies in serum and filter paper blood.

Authors:  Thanh Nga T Tran; Peter J de Vries; Lan Phuong Hoang; Giao T Phan; Hung Q Le; Binh Q Tran; Chi Mai T Vo; Nam V Nguyen; Piet A Kager; Nico Nagelkerke; Jan Groen
Journal:  BMC Infect Dis       Date:  2006-01-25       Impact factor: 3.090

10.  Clinical, epidemiological and virological features of Dengue virus infections in Vietnamese patients presenting to primary care facilities with acute undifferentiated fever.

Authors:  Khoa T D Thai; Hoang Lan Phuong; Tran Thi Thanh Nga; Phan Trong Giao; Le Quoc Hung; Nguyen Van Nam; Tran Quang Binh; Cameron Simmons; Jeremy Farrar; Tran Thinh Hien; H Rogier van Doorn; Menno D de Jong; Peter J de Vries
Journal:  J Infect       Date:  2010-01-18       Impact factor: 6.072

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  8 in total

1.  Zika virus disrupts molecular fingerprinting of human neurospheres.

Authors:  Patricia P Garcez; Juliana Minardi Nascimento; Janaina Mota de Vasconcelos; Rodrigo Madeiro da Costa; Rodrigo Delvecchio; Pablo Trindade; Erick Correia Loiola; Luiza M Higa; Juliana S Cassoli; Gabriela Vitória; Patricia C Sequeira; Jaroslaw Sochacki; Renato S Aguiar; Hellen Thais Fuzii; Ana M Bispo de Filippis; João Lídio da Silva Gonçalves Vianez Júnior; Amilcar Tanuri; Daniel Martins-de-Souza; Stevens K Rehen
Journal:  Sci Rep       Date:  2017-01-23       Impact factor: 4.379

2.  Pregnant women co-infected with HIV and Zika: Outcomes and birth defects in infants according to maternal symptomatology.

Authors:  Esaú C João; Orlando da C Ferreira; Maria Isabel Gouvêa; Maria de Lourdes B Teixeira; Amilcar Tanuri; Luiza M Higa; Deise A Costa; Ronaldo Mohana-Borges; Mônica B Arruda; Haroldo J Matos; Maria Leticia Cruz; Wallace Mendes-Silva; Jennifer S Read
Journal:  PLoS One       Date:  2018-07-06       Impact factor: 3.240

3.  Natural Infection of Aedes aegypti by Chikungunya and Dengue type 2 Virus in a Transition Area of North-Northeast Brazil.

Authors:  Carine Fortes Aragão; Valéria Cristina Soares Pinheiro; Joaquim Pinto Nunes Neto; Eliana Vieira Pinto da Silva; Glennda Juscely Galvão Pereira; Bruna Laís Sena do Nascimento; Karoline da Silva Castro; Ariadne Mendonça Maia; Clistenes Pamplona Catete; Lívia Carício Martins; Wanderli Pedro Tadei; Sandro Patroca da Silva; Ana Cecília Ribeiro Cruz
Journal:  Viruses       Date:  2019-12-05       Impact factor: 5.048

4.  Development of RT-qPCR and semi-nested RT-PCR assays for molecular diagnosis of hantavirus pulmonary syndrome.

Authors:  Bruno Tardelli Diniz Nunes; Maria Helena Rodrigues de Mendonça; Darlene de Brito Simith; Adriana Freitas Moraes; Carla Conceição Cardoso; Ivy Tsuya Essashika Prazeres; Ana Alice de Aquino; Alessandra da Conceição Miranda Santos; Alice Louize Nunes Queiroz; Daniela Sueli Guerreiro Rodrigues; Regis Bruni Andriolo; Elizabeth Salbé Travassos da Rosa; Livia Carício Martins; Pedro Fernando da Costa Vasconcelos; Daniele Barbosa de Almeida Medeiros
Journal:  PLoS Negl Trop Dis       Date:  2019-12-26

5.  Exome-Wide Search for Genes Associated With Central Nervous System Inflammatory Demyelinating Diseases Following CHIKV Infection: The Tip of the Iceberg.

Authors:  Soniza Vieira Alves-Leon; Cristina Dos Santos Ferreira; Alice Laschuk Herlinger; Fabricia Lima Fontes-Dantas; Fernanda Cristina Rueda-Lopes; Ronaldo da Silva Francisco; João Paulo da Costa Gonçalves; Amanda Dutra de Araújo; Cláudia Cecília da Silva Rêgo; Luiza Mendonça Higa; Alexandra Lehmkuhl Gerber; Ana Paula de Campos Guimarães; Mariane Talon de Menezes; Marcelo Calado de Paula Tôrres; Richard Araújo Maia; Bruno Miceli Gonzalez Nogueira; Laise Carolina França; Marcos Martins da Silva; Christian Naurath; Aline Saraiva da Silva Correia; Claudia Cristina Ferreira Vasconcelos; Amilcar Tanuri; Orlando Costa Ferreira; Cynthia Chester Cardoso; Renato Santana Aguiar; Ana Tereza Ribeiro de Vasconcelos
Journal:  Front Genet       Date:  2021-03-17       Impact factor: 4.599

6.  Emergence of New Immunopathogenic Factors in Human Yellow Fever: Polarisation of the M1/M2 Macrophage Response in the Renal Parenchyma.

Authors:  Juliana Marinho Melo; Luiz Fabio Magno Falcão; Lucas Coutinho Tuma da Ponte; Camilla Costa Silva; Livia Caricio Martins; Jannifer Oliveira Chiang; Arnaldo Jorge Martins Filho; Edna Cristina Santos Franco; Maria Irma Seixas Duarte; Jorge Rodrigues de Sousa; Pedro Fernando da Costa Vasconcelos; Juarez Antônio Simões Quaresma
Journal:  Viruses       Date:  2022-08-04       Impact factor: 5.818

7.  The Usefulness of a Duplex RT-qPCR during the Recent Yellow Fever Brazilian Epidemic: Surveillance of Vaccine Adverse Events, Epizootics and Vectors.

Authors:  Alice L N Queiroz; Rafael S Barros; Sandro P Silva; Daniela S G Rodrigues; Ana C R Cruz; Flávia B Dos Santos; Pedro F C Vasconcelos; Robert B Tesh; Bruno T D Nunes; Daniele B A Medeiros
Journal:  Pathogens       Date:  2021-06-03

8.  Chikungunya virus Detection in Aedes aegypti and Culex quinquefasciatus during an Outbreak in the Amazon Region.

Authors:  Ana Cecília Ribeiro Cruz; Joaquim Pinto Nunes Neto; Sandro Patroca da Silva; Eliana Vieira Pinto da Silva; Glennda Juscely Galvão Pereira; Maissa Maia Santos; Hamilton Antônio de Oliveira Monteiro; Flavia Barreto Dos Santos; Ricardo José de Paula Souza E Guimarães; Carine Fortes Aragão; Lívia Carício Martins
Journal:  Viruses       Date:  2020-08-04       Impact factor: 5.048

  8 in total

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