Identification of Interleukin1β as an Amplifier of Interferon alpha-induced Antiviral Responses.
Katharina RobichonTim MaiwaldMarcel SchillingAnnette SchneiderJoschka WillemsenFlorian SalopiataMelissa TeuselClemens KreutzChristian EhltingJun HuangSajib ChakrabortyXiaoyun HuangGeorg DammDaniel SeehoferPhilipp A LangJohannes G BodeMarco BinderRalf F W BartenschlagerJens TimmerUrsula KlingmüllerPublished in: PLoS pathogens (2020)
The induction of an interferon-mediated response is the first line of defense against pathogens such as viruses. Yet, the dynamics and extent of interferon alpha (IFNα)-induced antiviral genes vary remarkably and comprise three expression clusters: early, intermediate and late. By mathematical modeling based on time-resolved quantitative data, we identified mRNA stability as well as a negative regulatory loop as key mechanisms endogenously controlling the expression dynamics of IFNα-induced antiviral genes in hepatocytes. Guided by the mathematical model, we uncovered that this regulatory loop is mediated by the transcription factor IRF2 and showed that knock-down of IRF2 results in enhanced expression of early, intermediate and late IFNα-induced antiviral genes. Co-stimulation experiments with different pro-inflammatory cytokines revealed that this amplified expression dynamics of the early, intermediate and late IFNα-induced antiviral genes can also be achieved by co-application of IFNα and interleukin1 beta (IL1β). Consistently, we found that IL1β enhances IFNα-mediated repression of viral replication. Conversely, we observed that in IL1β receptor knock-out mice replication of viruses sensitive to IFNα is increased. Thus, IL1β is capable to potentiate IFNα-induced antiviral responses and could be exploited to improve antiviral therapies.
Keyphrases
- dendritic cells
- high glucose
- transcription factor
- immune response
- diabetic rats
- poor prognosis
- drug induced
- genome wide
- binding protein
- endothelial cells
- gene expression
- genome wide identification
- type diabetes
- liver injury
- metabolic syndrome
- oxidative stress
- dna methylation
- electronic health record
- high resolution
- genome wide analysis
- insulin resistance
- single cell
- antimicrobial resistance