Rift Valley fever virus (RVFV) causes significant morbidity and mortality in humans and livestock throughout Africa and the Middle East. The clinical disease ranges from mild febrile illness, to hepatitis, retinitis, encephalitis and fatal hemorrhagic fever. RVFV NSs protein has previously been shown to interfere
Rift Valley fever virus (RVFV) is a mosquito-borne hemorrhagic fever virus that causes high morbidity and mortality in humans and livestock. It was first identified in 1931 in Kenya after isolation from a sheep in the Rift Valley (
RVFV is a veterinary pathogen that infects cattle, goats, and sheep. Up to 90% mortality has been reported in newborn animals and as high as 30% in adult animals (
The virus can be transmitted to humans by contact with infected livestock or by the bite of an infected mosquito. Infected individuals typically have a mild disease consisting of fever, malaise, and myalgia. A small percentage of individuals will develop severe disease manifested as hepatitis, encephalitis, retinitis or hemorrhagic fever, which are the hallmarks of fulminant RVFV clinical disease. The overall case fatality is estimated at 0.5–1%. However, in patients whose clinical illness is sufficiently severe to bring them to the attention of medical personnel, case fatality has been reported to be as high as 29%, as was seen in the Kenya 2006–2007 outbreak (
RVFV is a member of the family
The NSs protein is especially interesting in that it is a filamentous nuclear protein expressed by a virus that replicates and assembles in the cytoplasm of infected cells (
At the molecular level, the NSs protein interacts with components of the general transcription factor, TFIIH, leading to a generalized down-regulation of host-cell transcription in infected cells (
Macrophages are antigen presenting cells that exist in both circulating and resident populations throughout the body. Upon contact with an antigen, they release cytokines to stimulate recruitment of neutrophils and other immune cells, activate IFN based pathways as part of the innate immune response, and signal T cells and B cells to begin the transition from an innate to an adaptive immune response (
Animal models and clinical specimens demonstrate positive immunostaining for viral antigen in both the hepatocytes and the resident macrophages of the liver, the Kupffer cells (
CD14 positive MDM from 4 separate donors were used for these experiments to control for donor-to-donor variability. Cells were infected with either the WT or ΔNSs RVFV and supernatants were analyzed at various times post-infection by plaque assay to quantitate viral production. As indicated in
The RNA from WT or ΔNSs RVFV infected MDM from 3 of the donors was analyzed by real time RT-PCR to assess viral replication. Absolute Ct values were corrected by normalization to 18S RNA levels for each sample. Both WT and ΔNSs viruses replicated with similar kinetics; an increase in viral RNA was detected routinely by 12 hpi (
MDM were mock-infected or infected with WT, ΔNSs, γ-WT or γ-ΔNSs virus. Gamma-irradiated (designated by the Greek letter “γ”) control viruses were used to distinguish non-specific cytokine secretion related to supernatant components, including inactivated virions, from those that were a result of active viral infection. Supernantants were collected at 0, 6, 12, 24 and 48 hpi and were analyzed for a selected panel of cytokines. A 12-plex panel of analytes including RANTES, MIP-1α, MIP-1β, 1L-1RA, MCP-1, IP-10, 1L-8, IFN-α2, TNF-α, 1L-12, IL-1β, and 1L-6 were examined on the Luminex platform and IFN-β levels were measured by EL1SA. The most striking results were obtained for IFN-α2 (A), IFN-β (B), and TNF-α (C) (
The secretion of MCP-1, IP-10, RANTES, MIP-1α and MIP-1β did not follow a clear pattern between or among the experimental treatments with the exception that both the mock and WT infected MDM’s always had very low to undetectable cytokine levels. The ΔNSs, γ-WT or γ-ΔNSs infected cells demonstrated varied secretion patterns for these 5 cytokines. This variability in cytokine secretion patterns is likely due to the presence of viral RNA, viral protein, or other activating factors present in the supernatant of the virus preparation used in the inoculum to infect the MDMs. Unlike the data presented earlier for TNF-α, IFN-α2 and IFN-p, these cytokine patterns were not specific to cells infected with replicating virus. IL-8 and IL-1RA were not significantly elevated under any experimental condition except for donor D and donor B respectively, highlighting the importance of using multiple donors in experiments with primary cells (data not shown). Finally, there was no IL-12, IL-Iβ or IL-6 expression detected from any donor regardless of experimental condition.
After demonstrating that the macrophage is a susceptible cell type and that the virus is able to alter the innate immune response in macrophages, it followed that we might expect a perturbation of the cytokine response in severely infected individuals. We hypothesized that a suppression of the pro-inflammatory innate immune response by WT RVFV could play a role in viral pathogenesis. In order to test this hypothesis, we utilized human serum samples from the RVFV outbreak that occurred in Saudi Arabia in 2000–2001. The clinical and epidemiological data from his out-break have been published (
Patient serum samples were analyzed in duplicate using a large multiplex assay to determine the concentration of 39 different cytokines: EGF, Eotaxin, FGF-2, Flt-3 ligand, Fractalkine, G-CSF, GM-CSF, GRO, IFN-α2, IFN-γ, IL-10, IL-12 (p40), IL-12 (p70), IL-13, IL-15, IL-17, IL-1RA, IL-1α, IL-1β, IL-2, IL-3, IL-4, IL-5, IL-6, IL-7, IL-8, IL-9, IP-10, MCP-1, MCP-3, MDC (CCL22), MIP-1α, MIP-1β, TGF-α, TNF-α, TNF-β, VEGF, sCD40L, and sIL-2Rα. There were no detectable levels of TNF-α or IFN-α2 in the samples from fatal or non-fatal cases. However there were 5 cytokines that demonstrated a statistically significant difference (p<0.05) between fatal and non-fatal cases by a two-sample
IL-1RA is the receptor antagonist for IL-1, a potent pro-inflammatory pyrogen, so therefore IL-1RA has immunosuppressive properties. IL-1RA binds to the IL-1 receptor with high affinity and prevents receptor dimerization and downstream signaling (
Finally, IL-10, a cytokine that is well known to be suppressive to the cell-mediated immune response, was elevated in fatal vs. non-fatal cases. In summary, a pro-inflammatory cytokine response was associated with increased survival while actively or passively suppressed cytokine response was associated with increased risk of fatality.
Our studies have demonstrated that MDM are permissive for RVFV infection and that infection with WT virus leads to CPE and cell death. Furthermore, we have studied the role of the NSs protein and determined that NSs deficient viruses do not replicate as well as WT RVFV in MDM. Since these two viruses replicate to equivalent levels in Vero cells, which are unable to produce interferon (
Macrophages may play a role in the pathogenesis of WT RVFV. An infected macrophage would be unable to signal a pro-inflammatory response secondary to the inhibitory effects of the NSs protein. 1n addition, the intracellular anti-viral mechanisms would be rendered inactive because of NSs mediated inhibition of expression of type 1 1FN’s and virally mediated degradation of PKR. These many effects of the NSs protein could usurp a sentinel cell and convert it into a virus factory. The macrophage might also act as vehicle to transmit the virus to its target organs, the liver and the CNS. There is clearly precedence in the literature for viruses using the monocyte/macrophage to gain entry to the CNS in the case of Hepatitis C virus, Junin virus, Dengue virus, and HIV (
Our studies have demonstrated NSs-mediated inhibition of TNF-α, IFN-α2, and IFN-β expression in RVFV infected MDM’s. It was noted that several cytokines were activated by infection with gamma irradiated viruses. This non-specific activation (i.e., did not require viral gene expression or replication) could be secondary to the presence of viral RNA and/or protein in these inoculates or could represent activation by factors that were carried over in the supernatants during virus preparation. It is well known that surrogates for viral RNA such as poly I-C can activate a cytokine response in exposed cells, so these results were not surprising. However, it was quite striking that all of the non-specific activations were significantly diminished by the presence of the NSs protein in cells infected with WT virus. The NSs protein led to a striking, generalized down-regulation of all of the studied cytokines.
IFN-α2, IFN-β and TNF-α were elevated only in cells that were productively infected with ΔNSs virus. Expression of these cytokines required active viral transcription and/or replication. The R1G-1-like RNA helicases, RIG-I and MDA-5, are cytoplasmic viral RNA detector molecules that recognize ssRNA containing a 5′ triphosphate and dsRNA respectively (
Previous studies of other hemorrhagic fever viruses such as Ebola virus and CCHF virus have demonstrated release of pro-inflammatory cytokines in
Our data demonstrating an association between pro-inflammatory cytokines and human survival during RVFV infection is limited by the fact that we only have data for 6 fatal cases. Unfortunately, these types of samples are very difficult to obtain. However, it is striking that we found statistical significance given that our samples were obtained from 1 to 14 days post onset of symptoms. There was no significant difference between the time of presentation of the fatal vs nonfatal cases, (mean of 4.8 days vs 3.75 days; p = 0.41) lending even more credence to our data. All of our cases clearly represented severe disease since they came to the attention of medical personnel and exhibited derangement in their laboratory parameters. We suspect that if we were able to obtain data from mild cases and compare them to severe cases, the cytokine effects that we have seen would be even more pronounced.
Elucidating the factors that determine why some patients are able to mount a pro-inflammatory response and survive while others do not remains an area for future study. Genetic heterogeneity as the basis of differential susceptibility to RVFV infection has been well established in the rat and mouse model (
In reality, it is most likely that a combination of genetic and environmental factors are responsible for disease outcome. While we cannot rule out a specific genetic predisposition to fatal disease in a small proportion of the population, it is more likely that a person’s immune status at the time of infection (e.g. concurrent infections, nutritional status, stress level, etc.) is responsible for the lack of response that leads to a fatal outcome. We would predict that early and vigorous medical intervention, possibly targeting specific virulence factors, such as NSs, could significantly improve disease outcomes by maximizing the response potential of any given human genotype to viral infection.
All work with live virus was performed under BSL-4 conditions in a positive pressure suit. RVFV ZH501 (
Peripheral blood mononuclear cell pheresis products were obtained from healthy human donors at Emory Hospital. Pheresis products were diluted 1:1 with PBS (without calcium or magnesium), layered onto Histopaque (Sigma) or Ficoll-Paque (GE Healthcare), and mononuclear cells were purified per the manufacturer’s instructions. After purification, cells were washed several times in PBS and resuspended in MACS buffer (Miltenyl Biotech). Magnetically coupled CD14 antibodies (Miltenyl Biotech) were used to selectively purify the CD14 positive cells per the manufacturer’s instructions. CD14 positive cells were stored at −80 °C in freezing medium (90% FBS, 10% DMSO) until use.
CD14 positive cells were seeded onto 24 well plates in complete media (RPMI with 5% FBS, 100 U/mL of penicillin, 100 μg/mL of streptomycin, and 2 mM
Vero E6 cells were plated onto 6 well plates at a density of 70%. The following day, supernatants were diluted serially in complete media and 200 μl of each dilution was placed per well in duplicate. Inocula were allowed to adsorb for 1 h with rocking every 15 min to prevent drying. Each well was then overlaid with 3 mL of overlay media (0.6% Seakem ME agarose, 1× EMEM, 10% FBS, 100U/mL of penicillin, 100 μg/mL of streptomycin, and 2 mM
RNA was purified from cells that had been lysed in NA lysis buffer (ABI) according to the manufacturer’s instructions. Ten microliters of total RNA was used for an 18S assay (ABI) that allowed for normalization between samples. Twenty microliters of RNA was used in a RVFV assay that has been previously described (
MDM-culture supernatants were gamma irradiated (5×106 rads) to inactivate infectious materials prior to cytokine analysis. Cytokine assays were performed in duplicate according to the manufacturer’s instructions (Millipore-Milliplex MAP Kit) and analyzed on a Luminex 200 IS platform.
The IFN-β ELISA was performed on the same supernatants that were used in the Luminex assays and according to manufacturer’s instructions (Invitrogen).
The findings and conclusions in this report are those of the authors and do not necessarily represent the views of the Centers for Disease Control and Prevention. The authors thank Kimberly Dodd, Tatyana Kilmova and Drs. Christina Spiropoulou, and David White for critical reading of the manuscript.
RVFV productively infects monocyte derived human macrophages. MDM were infected with WT or ΔNSs RVFV. Supernatants were collected at various times post infection. Supernatants were titered on Vero E6 cells. WT virus (black bars) grew to higher titers than the ΔNSs virus (white bars) on cells from the same donor. Data are presented as PFU/mL at 24 h post infection. 4 different donors are represented in the figure.
WT virus causes marked CPE in infected cells while ΔNSs virus does not. MDM were mock-infected, or infected with WT, or ΔNSs RVFV. At 12 hpi cells were photographed under white light using the 20× objective to demonstrate the CPE caused by WT virus.
ΔNSs RVFV replicates to lower levels than wild-type RVFV in MDM. MDM were infected with WT or ΔNSs RVFV. RNA was purified from cells at various times post infection and analyzed by real time PCR. WT virus (black squares with solid lines) replicated to higher levels than the ΔNSs virus (white squares with dotted lines) on cells from the same donor. Data are presented as inverse Ct value at various times post infection. 3 different donors are represented in the figure. RNA from the 4th donor was not available for testing.
IFN-α2, IFN-β and TNF-α are expressed by MDM upon infection with ΔNSs virus but not WT RVFV virus. MDM were mock-infected, or infected with WT, ΔNSs, γ-WT or γ-ΔNSs RVFV. Supernatants were collected at various times post infection, and levels of cytokines were measured. 4 different donors are represented in the figure (A–D). Data for IFN-α2 (A), IFN-β (B) and TNF-α (C) at the 24 hpi time point are shown.
A pro-inflammatory response is associated with survival in human serum samples from the Saudi 2000–2001 outbreak. Serum samples from patients with known clinical outcome were analyzed in duplicate for various cytokines. The 5 cytokines that demonstrated statistical significance between fatal and non-fatal cases are shown. Two pro-inflammatory cytokines were elevated in non-fatal cases (white bars) and two immunosuppressive cytokines were elevated in fatal cases (black bars). The pro-inflammatory cytokine IL-1α is shown separately. Confidence interval is indicated by error bars and p values are noted.
Laboratory characteristics of selected RVFV patients. The 26 patients for whom serum was available for cytokine analysis had the laboratory findings indicated in the table. The noted laboratory value was not necessarily always available for each patient so the number of samples that were used in calculating the mean for the fatal and non-fatal cases respectively are noted next to the analyte. F = fatal (6 total), NF = non-fatal (20 total). WBC = white blood cell count, Hbg = hemoglobin, AST = aspartate aminotransferase, ALT = alanine aminotransferase, PT = prothrombin time, PTT = partial thromboplastin time, CI = confidence interval.
| Analyte | F, NF | Mean fatal | CI | Mean non-fatal | CI | nl range |
|---|---|---|---|---|---|---|
| Platelets | 5, 18 | 36 | 17–55 | 110 | 81–139 | 150–300×103/μL |
| WBC | 5, 17 | 11.6 | 4.8–18.4 | 8.8 | 3–14.6 | 4.5–11×103 cell/μL |
| Hgb | 5, 18 | 10 | 5.8–14.2 | 10.5 | 9.1–11.9 | 12–17 g/dL |
| AST | 5, 19 | 16,926 | 5082–28,770 | 1101 | −75–2277 | 10–30 U/L |
| ALT | 5, 19 | 7000 | 4046–9954 | 732 | 319–1145 | 7–40 U/L |
| PT | 4, 6 | 39.9 | 29.8–50.0 | 17.0 | 15.6–18.4 | 11–16 s |
| PTT | 4, 6 | 66.9 | 47.3–86.5 | 41.9 | 30.7–56.1 | 25–35 s |
Goldman: Cecil Medicine 23rd ed. (