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1 Novartis Institute for Tropical Diseases, 10, Biopolis Road, #05-01 Chromos, 138670, Singapore
2 Genome Institute of Singapore, 60, Biopolis Road, #02-01, Genome, 138672, Singapore
3 Department of Medical Microbiology, Faculty of Medicine, University of Malaya, 50603 Kuala Lumpur, Malaysia
Correspondence
Martin L. Hibberd
hibberdml{at}gis.a-star.edu.sg
Feng Gu
feng.gu{at}novartis.com
| ABSTRACT |
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and β). However, these two strains did not differ in their response to type II IFN (
). Although unable to suppress IFN signalling, TSV01 infection caused a weaker IFN-β induction compared with NGC, suggesting an alternative mechanism of innate immune escape. We extended our study to clinical isolates of various serotypes and found that while MY10245 (DEN2) and MY22713 (DEN4) could suppress the IFN response in a similar fashion to NGC, three other strains of dengue [EDEN167 (DEN1), MY02569 (DEN1) and MY10340 (DEN2)] were unable to suppress the IFN response, suggesting that this difference is strain-dependent but not serotype-specific. Our report indicates the existence of a strain-specific virulence factor that may impact on disease severity. A supplementary table and a supplementary figure are available with the online version of this paper.
| INTRODUCTION |
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Several hypotheses for the reason for the range in severity of pathogenesis of dengue virus infection have been proposed, with antibody-dependent enhancement thought to play a central role (reviewed by Halstead, 2003
), although viral virulence has also been suggested (Messer et al., 2003
; Rico-Hesse et al., 1997
). An alternative hypothesis proposes that the initial innate immune response and in particular the type I interferon (IFN) response may determine the subsequent response and clinical outcome. Release of IFN-
appears to be critical for early immune response and resistance to virus infection in mice (Shresta et al., 2004
). This is enforced further by the fact that replication was inhibited when different cell types were treated with IFN prior to viral exposure (Diamond et al., 2000
), illustrating that viral replication is essential for the establishment of a solid infection in the host, thus paving the way for further host-to-host transmission and securing viral persistence. It is now evident that most viruses have evolved means to downregulate IFN responses. Hepatitis C virus (HCV), hepatitis A virus and rice stripe virus inhibit IFN production by acting on upstream components of IFN production such as RIG-1 and IRF-3 (Gale & Foy, 2005
; Haller et al., 2006
). Others such as mumps and nipah viruses encode genes that prevent phosphorylation and translocation of the signal transducer and activator of transcription (STAT), resulting in lower expression of IFN-stimulated gene factors (ISGs) (Kubota et al., 2002
; Shaw et al., 2004
).
The IFN response to dengue infection is not well understood. It has been observed that dengue virus inhibits IFN-
signalling by STAT-2 downregulation in myeloblastoma cell line K562 transfected with dengue replicons (Jones et al., 2005
). IFN protects cells from de novo dengue infections but has no effect on established infection, indicating that dengue replication yields IFN antagonists (Diamond et al., 2000
). This observation has been proven in cell lines infected with dengue that show inhibition in both type I and type II IFN signalling via NS4B non-structural protein (Munoz-Jordan et al., 2005
, 2003
). Tyk2 activation was also found to be reduced in dengue-infected dendritic cell lines (Ho et al., 2005
). All these studies indicate that the IFN response is somehow impaired by dengue infection, thus facilitating establishment of dengue infection in the host.
We aimed to study the host response to dengue infection by utilizing microarrays and quantitative PCR (qPCR) by TaqMan Low Density Array (TLDA) (Applied Biosystems) to assess the differential gene expression regulation of two closely related DEN2 strains (NGC and TSV01) in A549 cells. Although A549 and HepG2 are transformed lung carcinoma and hepatoma cell lines which might have different IFN responses compared with primary cells, they have the advantage of being highly susceptible to infection. The transcript levels of the IFN pathway genes in these two strains of DEN2 are significantly different. Biochemical dissection revealed that the strains had different effects on STAT-1 and STAT-2 phosphorylation upon IFN-
stimulation. We extended the IFN response analysis to a panel of clinical isolates from Malaysia and Singapore and found that the ability of dengue virus to inhibit the IFN signalling pathway was strain-dependent. This report demonstrated that there is a differential host type I IFN response in human cell lines to dengue virus and that potential virulence factors may be influential in determining the host response, which affects the clinical outcome of dengue infection.
| METHODS |
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Antibodies and plasmids.
The following primary antibodies were used to probe the blots: mouse anti-Envelope antibody 4G2 (ATCC), rabbit anti-phosphotyrosine 701 STAT1 (Cell Signalling), rabbit anti-phosphotyrosine 689 STAT2 (Upstate), rabbit anti-STAT1 (Santa Cruz), rabbit anti-STAT-2 (Santa Cruz) and mouse anti-FLAG (M2; Sigma). NS4B and NS5 antibodies were generated in-house using full-length protein as an antigen. Secondary antibodies were horseradish peroxidase (HRP)-conjugated anti-mouse and anti-rabbit (Pierce) and fluorescein isothiocyarate (FITC)- and tetramethynhodamine B isothiocyanate-conjugated anti-mouse and anti-rabbit (Molecular Probe).
TSV01 NS4B (aa 1–248 with a C-terminal HA tag) was cloned in the pXJ vector for mammalian expression using the following 5' and 3' primers: 5'-ATATAGGATCCACATGAACGAGATGGGTTTCCTGGA-3' and 5'-ATATACTCGAGTTAAGCGTAATCTGGTACGTCGTACCTTCTTGTGTTGGTCGTGT-3'. The FLAG-tagged MAVS plasmid was a gift from Dr Zhijian Chen (Howard Hughes Medical Institute, University of Texas South-Western Medical Center).
IFNs.
Hu-IFN-
-2a and Hu-IFN-β-1A (Chemicon) were used at 500 U ml–1 and Hu-IFN-
(BD pharmingen) was used at 500 ng ml–1 in IFN treatment assays. A549 and HepG2 were treated for 30 min and whole-cell lysates were collected for immunoblot analysis. For TLDA analysis, cells were infected for 24 h and treated for 24 h with 1000 U ml–1 IFN-
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TLDA and IFN-β Taqman RT-PCR.
Thirty-five genes from the IFN pathway were chosen for study and the array was ordered from Applied Biosystems. Total RNA was extracted using RNeasy Mini RNA extraction kit (Qiagen). cDNA was prepared using High-Capacity cDNA Archive kit (Applied Biosystems) on the ABI 9700 PCR Machine (Applied Biosystems). The amount of cDNA was measured on an ND-1000 spectrophotometer (Nanodrop Technologies). RT-PCR mix was prepared using Taqman one-step RT-PCR kit (Applied Biosystems) and RT-PCR was performed on an ABI PRISM 7900HT (Applied Biosystems). All protocols were performed according to manufacturers' recommendations. The raw data of four independent biological repeats were analysed using the SDS2.2 program (Applied Biosystems), using 18S-RNA as an external control. The significance of gene expression was analysed by EXCEL-SAM version 2.23A (Trustees of Leland Stanford Junior University). False discovery rate (q value) was set as less than 0.05 and the results were filtered with a fold change of 2. For qPCR of IFN-β, total RNA was extracted and cDNA was prepared as above using 1 µg RNA. cDNA (2 µl) was used in a Taqman PCR assay (Applied Biosystems) with human IFN-β primers (Applied Biosystems; ABI/GenBank accession numbers of the target sequence are GI_4504602 S/NM_002176.1).
Transfection, immunostaining, immunoblotting.
A549 cells were transfected with Lipofectamine 2000 (Invitrogen) according to the manufacturer's instructions. Cells (5x104) were plated into a well of a 24-well plate the day before transfection. Lipofectamine 2000 (1.5 µl) and DNA (1 µg) were mixed in OPTI-MEM (Invitrogen) without serum or antibiotics for 5 h. The transfection mixture was then removed and cells were cultured for the time period that is indicated in the figure legends. For immunostaining, cells were fixed in cold methanol and stained with primary and secondary antibodies (above) in PBS–BSA (0.1 %) and visualized using a Leica DM 4000 fluorescent microscope. For immunobloting, cell lysates were harvested in modified RIPA buffer (50 mM Tris/HCl, pH 7.4, 1 % NP-40, 0.25 % sodium-deoxycholate, 150 mM NaCl, 1 mM EDTA, supplemented with protease and phosphatase inhibitors from Sigma); protein concentrations were normalized for immunoblotting. Cell lysates were then separated by SDS-PAGE and transferred to a nitrocellulose membrane. The membrane was incubated with primary antibodies and HRP-conjugated secondary antibodies. Membranes were developed with an enhanced chemiluminescence reaction and exposed to Kodak BioMax XAR film for visualization.
| RESULTS |
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Infection with NGC and TSV01 strains induces different IFN responses
Ongoing differential gene expression studies in our laboratory suggested that genomic variations of dengue strains had a role in determining the host response. For example, significance analysis of microarrays (SAM) on HepG2 cells infected for 48 h with an m.o.i. of 10 of either TSV01 or NGC, both serotype 2 viruses, revealed that 88 genes were differentially expressed between cells infected with these two strains. The most important difference was in the genes of the IFN-mediated innate immunity pathway (Hibberd et al., 2006
).
In order to elucidate the difference in the IFN response to infection with NGC and TSV01, we chose 35 type I IFN-specific genes and performed qPCR by customized TLDA. A549 cells were infected for 48 h with live and heat-inactivated NGC and TSV01 (m.o.i. of 10), and infection was confirmed with plaque assays from culture supernatants (data not shown). The transcription levels of the genes of infected samples were compared with samples infected with heat-inactivated virus (Table 1
). Some of the host response genes were similarly induced by infection with both strains, such as the chemokine CXCL10 that was highly expressed in dengue-infected patients (Fink et al., 2007
); however, compared with NGC, TSV01 elicited higher levels of expression of all three IFN response pathway genes, including MX1, OAS1/2/3 and EIF2AK2 (also known as PKR). There were two genes whose transcript levels were higher in NGC than TSV01, IL6 and RSAD2, but expression levels of the remaining 15 IFN-induced genes were all lower in NGC than in TSV01-infected cells. These results suggest that viral genomic variations generate significant differences in innate immune responses to infection.
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ml–1 for 30 min. Fig. 2(a)
induced STAT-1 phosphorylation; this was also seen in cells infected with both TSV01 and SG167. However, NGC infection inhibited STAT-1 phosphorylation upon IFN stimulation. This experiment was repeated by treating A549 cells with IFN-
at 24, 48 or 72 h to determine whether TSV01 and SG167 inhibited signalling at an advanced time point. This demonstrated that STAT-1 phosphorylation was inhibited by NGC as early as 24 h post-infection but it was not inhibited by TSV01 or SG167, even after 72 h of infection (Fig. 2b
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/β signalling requires phosphorylation and subsequent heterodimerization of both STAT-1 and STAT-2, so we looked at STAT-2 activation during A549 infection. Again, NGC inhibited STAT-2 phosphorylation upon treatment with IFN-
, but TSV01 and SG167 did not (Fig. 3a
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/β stimulation, we next investigated whether NGC would also inhibit STAT-1 activation in response to IFN type II signalling. A549 cells, which have been shown to express IFN-
receptor (Luo & Ross, 2005
ml–1 for 30 minutes at 48 h post-infection. As Fig. 3(c)
but not the IFN-
response, and that the virus probably manipulates the host at the Tyk2 level.
Varying the initial input of the virus does not alter the IFN signalling profile of different strains
Infection of A549 cells with NGC, TSV01 and SG167 showed that there were variations in the level of virus they produced. Supernatants from A549 cells infected with TSV01 and SG167 contained less virus by plaque assay compared with supernatant from NGC (see Supplementary Table S1, available in JGV Online). We therefore wanted to verify that the STAT-1 signalling inhibition is not affected by this difference in viral load.
A549 cells were infected with an m.o.i. of 1 of NGC and of 10 of each of TSV01 and SG167 and stimulated with IFN-
. Plaque assay of culture supernatants was used to determine virus production, and showed that an m.o.i. of 1 of NGC yielded a similar number of plaques to an m.o.i. of 10 of SG167 and, to a lesser extent, of TSV01 (Fig. 3e
). However, infection with NGC at an m.o.i. of 1 inhibited STAT-1 phosphorylation, whereas neither TSV01 nor SG167 inhibited STAT-1 activation even at an m.o.i. of 10 (Fig. 3d
). By immunofluoresence staining of viral envelop protein, we determined that there was no major difference in the percentage of NGC- and TSV01-infected cells after infection with an m.o.i. of 5 of each virus for 36 h (Fig. 3f
). This suggested that the viral strain-dependent signalling profiles are independent of the viral load and percentage of infected cells at the point when the cell is stimulated with IFN. These results point towards the presence of a strain-dependent virus-specific factor that regulates this response.
Differential response to IFN signalling in dengue clinical isolates and strain-dependent inhibition of IFN-stimulated genes
We extended our study to a panel of other low-passage clinical isolates. We used clinical isolates MY02569 (DEN1, DHF), MY10245 (DEN1, DF), MY10340 (DEN2, DF), MY22563 (DEN2, DF) and MY22713 (DEN4, DF) to infect A549 cells at m.o.i. of 1 for 36 h and stimulated these cells with IFN-
. As seen in Fig. 4(a)
, MY10245, MY22563 and MY22713 inhibited STAT-1 phosphorylation in response to IFN treatment, whereas MY10340 and MY02569 did not. Note that plaque assay from culture supernatants of these infections validated our earlier observation that strain-dependent IFN antagonism is not directly related to viral load. For example, MY10245 and MY10340 gave a comparable number of plaques but differed in their ability to inhibit IFN signalling (Fig. 4b
). These results also confirmed that the difference in IFN signalling profiles of dengue viral strains occurred across at least two serotypes (DEN1 and DEN2).
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(1000 U ml–1) was added to the medium 18 h post-infection. Samples were collected 24 h later for RNA extraction and TLDA analysis. Heat-inactivated viruses were used as controls in this experiment and four biological repeats were used for analysis and cut offs were employed as described earlier. Table 2
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/β production (Seth et al., 2006| DISCUSSION |
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Our study provides the molecular basis for the contribution of viral factors that modulate the host cell response and, conceivably, modulate the clinical outcome of dengue infection. We showed that NGC and TSV01, two DEN2 strains that are very similar to each other at the amino acid level, elicit very diverse patterns of type I IFN response to infection in human cell lines. We used two different cell lines in the study in order to avoid cell-line-specific observations: HepG2, a hepatocytic cell line, and A549, a lung carcinoma cell line but neither cell line was the same as primary cells in the in vivo infection situation. Therefore, the observations that we obtained in the cell line study can not be readily compared with nor be linked to clinical outcome. We also found low-passage clinical isolates that exhibited such strain-dependent variation in the type I IFN response to infection. Based on our results with the type I IFN signalling and TLDA experiments, there seem to be two groups of dengue virus: one that can inhibit the IFN signalling and its antiviral effects (suppressive strains) and the other that cannot (non-suppressive strains) (Fig. 6
). This strain-dependent modulation of IFN response seems to be independent of the viral serotype and it occurred in both HepG2 and A549 cell lines. As described in Fig. 6
, we predict that the suppressive strains of dengue inhibited STAT1/2 activation, which resulted in the inhibition of the antiviral pathway genes, including MX1, OAS1/2/3, EIF2AK2 and various IFN-induced genes such as G1P2/3, IFI35/44, IFI1 and IFITM1. However, this strain classification is based on cell line observation and cannot be directly extrapolated to the clinical outcome of an infection, which is a combined consequence of both viral and host factors. In fact, with the exception of MY02569 that was isolated from a DHF patient, all of the other strains were isolated from DF patients.
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Earlier studies that compared south-east Asian DEN2 strains with those from South America identified mutations in the viral 3' UTR, as well as prM, E, NS4B and NS5, that correlate to the differences in viral survival and replication fitness (Alvarez et al., 2005
; Edgil et al., 2003
). We found that NGC and TSV01 did not exhibit similar infectivities in A549 cells, but when the viral load of TSV01 was increased to an m.o.i. of 10 and compared with an m.o.i. of 1 of NGC, the IFN signalling profiles of these strains remain unaltered. Moreover, MY10340 and MY10245, which show similar levels of infectivities, differ in their ability to inhibit IFN signalling. Our data clearly demonstrate that the differences in viral load alone cannot explain the differences in the IFN inhibition profiles of viral strains. This leads us to believe that a viral virulence factor might account for the differential response of dengue strains to type I IFN.
NS4B of dengue is thought to be the IFN antagonist but NS4B cloned from TSV01 did not antagonize the IFN response. Munoz-Jordan et al. (2003)
showed that NS4B suppresses IFN signalling, using NS4B of a DEN2 infectious clone (pD2/IC-30P-A), which is identical to that of NGC and differs from that of TSV01 by four amino acids (F14L, A19T, I48V, L112F; see Supplementary Fig. S1, available in JGV Online). It is interesting to note that three of these changes in the NS4B sequence seem to be in the region that is important for IFN antagonism (aa 1–125) (Munoz-Jordan et al., 2003
). While it is tempting to think that NS4B is the critical IFN antagonist, membrane topology studies of NS4B (Miller et al., 2006
) present a logistical challenge to this hypothesis, because this region has been shown to reside in the endoplasmic reticulum lumen. Moreover, while it has been shown that the 2K fragment of NS4B is essential for IFN antagonism, the existence of uncleaved 2K–NS4B in the viral life cycle is debatable. Full genome sequencing and alignment studies of the clinical isolates are currently being performed. Genetic complementation studies will then be needed to validate these viral factors, which could be used as markers for severe dengue.
| ACKNOWLEDGEMENTS |
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Received 26 February 2008;
accepted 30 July 2008.
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