Type I Interferon-Mediated Induction of Antiviral Genes and Proteins Fails to Protect Cells from the Cytopathic Effects of Sendai Virus Infection.

Sendai virus (SeV), a murine paramyxovirus, has been used to study the induction of type I interferon (IFN) subtypes in robust quantities. Few studies have measured whether the IFN that SeV induces actually fulfills its intended purpose of interfering with virus-mediated effects in the cells in which it is produced. We determined the effects of IFN on SeV-mediated cytopathic effects (CPE) and the ability of IFN to protect against virus infection. SeV-induced biologically active IFN resulted in Jak/STAT activation and the production of a number of interferon-stimulated genes (ISGs). However, these responses did not inhibit SeV replication or CPE. This observation was not due to SeV effects on canonical IFN signaling. Furthermore, pretreating cells with type I IFN and establishing an antiviral state before infection did not mediate SeV effects. Therefore, the induction of canonical IFN signaling pathways and ISGs does not always confer protection against the IFN-inducing virus. Because type I IFNs are approved to treat various infections, our findings suggest that typical markers of IFN activity may not be indicative of a protective antiviral response and should not be used alone to determine whether an antiviral state against a particular virus is achieved.

Virus Multiplicity of Infection Affects Type I Interferon Subtype Induction Profiles and Interferon-Stimulated Genes.

UNLABELLED: Type I interferons (IFNs) are induced upon viral infection and important mediators of innate immunity. While there is 1 beta interferon (IFN-ß) protein, there are 12 different IFN-α subtypes. It has been reported extensively that different viruses induce distinct patterns of IFN subtypes, but it has not been previously shown how the viral multiplicity of infection (MOI) can affect IFN induction. In this study, we discovered the novel finding that human U937 cells infected with 2 different concentrations of Sendai virus (SeV) induce 2 distinct type I IFN subtype profiles. Cells infected at the lower MOI induced more subtypes than cells infected at the higher MOI. We found that this was due to the extent of signaling through the IFN receptor (IFNAR). The cells infected at the lower viral MOI induced the IFNAR2-dependent IFN-α subtypes 4, 6, 7, 10, and 17, which were not induced in cells infected at higher virus concentrations. IFN-ß and IFN-α1, -2, and -8 were induced in an IFNAR-independent manner in cells infected at both virus concentrations. IFN-α5, -14, -16, and -21 were induced in an IFNAR-dependent manner in cells infected at lower virus concentrations and in an IFNAR-independent manner in cells infected at higher virus concentrations. These differences in IFN subtype profiles in the 2 virus concentrations also resulted in distinct interferon-stimulated gene induction. These results present the novel finding that different viral MOIs differentially activate JAK/STAT signaling through the IFNAR, which greatly affects the profile of IFN subtypes that are induced. IMPORTANCE: Type I IFNs are pleiotropic cytokines that are instrumental in combating viral diseases. Understanding how the individual subtypes are induced is important in developing strategies to block viral replication. Many studies have reported that different viruses induce distinct type I IFN subtype profiles due to differences in the way viruses are sensed in different cell types. However, we report in our study the novel finding that the amount of virus used to infect a system can also affect which type I IFN subtypes are induced due to the extent of activation of certain signaling pathways. These distinct IFN subtype profiles in cells infected at different MOIs are correlated with differences in interferon-stimulated gene induction, indicating that the same virus can induce distinct antiviral responses depending on the MOI. Because type I IFNs are used as therapeutic agents to treat viral diseases, understanding their antiviral mechanisms can enhance clinical treatments.